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This is a Masters course that can take you into employment anywhere in the world. If you are enthusiastic about teaching English as a foreign or second language, then our course offers you vocationally-relevant, research-led training of the highest quality, taught by academics known for their teaching excellence. Read more
This is a Masters course that can take you into employment anywhere in the world.

If you are enthusiastic about teaching English as a foreign or second language, then our course offers you vocationally-relevant, research-led training of the highest quality, taught by academics known for their teaching excellence.

You explore teaching methods and the description of English used in the investigation of language learning and teaching, and study additional topics according to your needs. These might include:
-How second language learners acquire vocabulary, and how vocabulary can be taught
-Computer-assisted language-learning
-Literature and language-learning
-Materials design and evaluation
-Teaching Writing in EFL/ESL

You also gain hands-on teaching experience through our Teaching Practice I and Teaching Practice II modules.

Whether you have no prior teaching experience or are already an English language teacher, this course can be adapted to suit you. If you have little or no previous teaching experience, you receive ‘hands on’ teaching practice throughout the course via TEFL, while if you already have more than two year’s full-time teaching experience, you can undertake specialist study through TESOL instead.

You'll be part of our Centre for Research in Language Development throughout the Lifespan (LaDeLi), a unique research centre specialising in all aspects of language learning and development.

We are one of the largest and most prestigious language and linguistics departments in the world, a place where talented students become part of an academic community in which the majority of research is rated ‘world-leading’ or ‘internationally excellent’ (REF 2014), placing us firmly within the top 10 departments in the UK and ranked among the top 150 departments on the planet according to the QS World [University] Rankings [2016] for linguistics.

If you want a global outlook, are interested in human communication, and want to study for a degree with real-world practical value in a world-class department, welcome to Essex.

This course is also available on a part-time basis.

Our expert staff

Our staff are internationally renowned. Florence Myles authored the best-selling Second Language Learning Theories, and Bob Borsley wrote both Syntactic Theory: a Unified Approach and Modern Phrase Structure Grammar.

Other teachers on this course include Christina Gkonou, who has conducted extensive research into the effects of individual factors like anxiety on success in language learning, and Julian Good and Tracey Costley, who have taught English in Europe, the Far East and South America for many years before coming to Essex.

Karen Roehr-Brackin is a leading expert on the relationship between metalinguistic knowledge (conscious awareness of the rules of language) and language learning ability, and Adela Gánem-Gutiérrez is a leading expert on the use of computers and the role that interaction in the classroom plays in language learning.

Specialist facilities

-An exciting programme of research seminars and other events
-Our Languages for All programme offers you the opportunity to study an additional language alongside your course at no extra cost
-Our Albert Sloman Library houses a strong collection of books, journals, electronic resources and major archives

Your future

Takers of our MA TEFL and other courses in English Language Teaching come with the specific intention of entering the ELT/TESOL profession, which they duly go on to do.

Students on these courses often join us after a career in English teaching, to update their expertise and return to the classroom with a career enhancement.

The specialist knowledge you gain enables you to take senior or specialist roles (for example in computer-assisted language-learning, ESP or teaching young learners), not necessarily only in the classroom but also in educational advice and management, programme evaluation, syllabus design and teacher education.

We also work with the University’s Employability and Careers Centre to help you find out about further work experience, internships, placements, and voluntary opportunities.

Example structure

-Teaching Practice I
-Description of Language for TEFL/ELT and Applied Linguistics
-Approaches, Methods and Teacher Development for TEFL/TESOL
-Research Methods I
-Assignment Writing and Dissertation Preparation
-Research Methods II
-MA Dissertation
-Second Language Vocabulary: Learning, Teaching and Use (optional)
-Topics in the Psychology of Language Learning and Teaching (optional)
-Foundations of Computer Assisted Language Learning (optional)
-Literature and Language Teaching (optional)
-Materials Design and Evaluation (optional)
-Teaching, Listening and Speaking (optional)
-Teaching and Learning Grammar (optional)
-Teaching English to Young Learners: Principles and Practice (optional)
-Teaching Practice II (optional)
-Reflective Practitioner (optional)
-Teaching Reading and Writing in TEFL/TESOL (optional)

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Take advantage of one of our 100 Master’s Scholarships or College of Science Postgraduate Scholarships to study Computer Science at Swansea University, the Times Good University Guide’s Welsh University of the Year 2017. Read more
Take advantage of one of our 100 Master’s Scholarships or College of Science Postgraduate Scholarships to study Computer Science at Swansea University, the Times Good University Guide’s Welsh University of the Year 2017. Postgraduate loans are also available to English and Welsh domiciled students. For more information on fees and funding please visit our website.

The MSc in Computer Science course is for you if you are a graduate from one of a wide range of disciplines and are looking to change direction or because of the needs of your chosen career, require a solid foundation in Computer Science.

As the use of computers and computer based systems continues to grow in all aspects of life, at home and at work, it is apparent that there will be for years to come a need for many people who can combine a knowledge of Computer Science, the discipline that underlies Information Technology, and degree level knowledge in a wide variety of other disciplines.

Over the duration of the MSc Computer Science course you will study a variety of modules taught by academic staff that are part of internationally renowned research groups. The course is also regularly updated to ensure that it keeps pace with the rapid developments in Computer Science.

Key Features of Computer Science MSc

• We are top in the UK for career prospects*
• We are 3rd in the UK for teaching quality**
• 5th in the UK overall*
• 7th in the UK for student satisfaction with 98% [National Student Survey 2016]
• 7th in the UK overall and Top in Wales*
• High employability prospects - we are 8th in the UK for graduate prospects*
• 92% in graduate employment or further study six months after leaving University [HESA data 2014/15]
• UK TOP 20 for Research Excellence [Research Excellence Framework 2014]
• Our Project Fair allows students to present their work to local industry
• Strong links with industry
• £31m Computational Foundry for computer and mathematical sciences will provide the most up-to-date and high quality teaching facilities featuring world-leading experimental set-ups, devices and prototypes to accelerate innovation and ensure students will be ready for exciting and successful careers. (From September 2018)

*Guardian University Guide 2017
**Times & Sunday Times University Guide 2016

Modules of Computer Science MSc

Modules for the MSc in Computer Science include Computer Science Project Research Methods but please visit our course page for more information.

Facilities

The Department of Computer Science is well equipped for teaching, and is continually upgrading its laboratories to ensure equipment is up-to-date – equipment is never more than three years old, and rarely more than two. Currently, our Computer Science students use three fully networked laboratories: one, running Windows; another running Linux; and a project laboratory, containing specialised equipment. These laboratories support a wide range of software, including the programming languages Java, C# and the .net framework, C, C++, Haskell and Prolog among many; integrated programme development environments such as Visual Studio and Netbeans; the widely-used Microsoft Office package; web access tools; and many special purpose software tools including graphical rendering and image manipulation tools; expert system production tools; concurrent system modelling tools; World Wide Web authoring tools; and databases.

As part of the expansion of the Department of Computer Science, we are building the Computational Foundry on our Bay Campus for computer science and mathematical science.

Careers

All Computer Science courses will provide you the transferable skills and knowledge to help you take advantage of the excellent employment and career development prospects in an ever growing and changing computing and ICT industry.

94% of our Postgraduate Taught Graduates of Computer Science were in professional level work or study [DLHE 14/15].

Student Profile

“I chose the MSc Computer Science as a conversion from my previous War and Society degree, primarily employment opportunities. The course was by no means easy for me coming from an arts background, and the first few weeks I felt a little over my head, but thanks to the truly stimulating content from the syllabus and the high quality of the teaching within the department I soon caught up and began to thrive on the course. My project revolved around a comparative study of the Haskell Web-Framework Yesod and ASP.NET. During the completion of this I picked up many of the skills that I now use on an everyday basis in my role at Kinspeed (A Sheffield based Software House). Since starting work I have been able to apply many of the skills I obtained during my time at Swansea and have no doubt that choosing to study the MSc Computer Science at Swansea was one of the better decisions of my life.”

Chris Swires

Research

The results of the Research Excellence Framework (REF) 2014 show that Swansea Computer Science ranked 11th in the UK for percentage of world-leading research, and 1st in Wales for research excellence. 40% of our submitted research assessed as world-leading quality (4*).

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The PGCE Information Technology and Computer Science enables ICT & computing professionals and graduates to become effective teachers of computing (curriculum previously called ICT and now including a strong Computer Science element) in secondary schools. Read more
The PGCE Information Technology and Computer Science enables ICT & computing professionals and graduates to become effective teachers of computing (curriculum previously called ICT and now including a strong Computer Science element) in secondary schools. The programme emphasises learning through critical reflection on theory and practice and discussion with colleagues.

The programme combines the theory and practice of education which is why students spend 60 days in College and 120 days in schools. The course is research-led and you will develop your knowledge of how pupils learn; how assessment can improve learning and teaching; how to plan lessons, and how to make appropriate use of computers and the Internet to teach effectively. The programme emphasises learning through critical reflection on theory and practice and discussion with colleagues.

Key Benefits

- Our Programme, judged 'Outstanding' by Ofsted, is taught by one of the strongest team of computer science education tutors in the country.

- The programme at King's is challenging and students are encouraged to take a critical view of policies and practice.

- It is a sociable course where you will be expected to work with others, discussing issues and problems about teaching.

- You have the opportunity to work with tutors who are actively engaged in research and development in computer science education.

Visit the website: http://www.kcl.ac.uk/study/postgraduate/taught-courses/pgce-information-technology-and-computer-science.aspx

Course detail

- Description -

The programme combines the theory and practice of education. We work in close partnership with schools in designing, delivering and assessing our course.

University based: You will work with other trainees and tutors in your subject area to consider the principles and practice of teaching your subject including curriculum design, the development of materials, classroom management and lesson planning. You will also work with trainees from other subjects in a programme of lectures and seminar groups to examine broad generic issues. During both secondary school placements there are occasional days in college for tutorials to support and monitor progress towards the standards for Qualified Teacher Status (QTS). There are cross-curricular research tasks and assignments.

School based: For 24 of the 36 weeks the training takes place in schools, mainly in two complementary secondary schools but with two short primary school experiences. This introduces you to recognising key constituents of good teaching, helps develop your own teaching skills and gain an understanding of how schools work and how children learn.

- Computer Science Subject Knowledge Enhancement (SKE) courses -

Our Subject Knowledge Enhancement courses are intensive and flexible programmes for graduates in IT/computing who want to teach computer science but whose degree is not a direct match or whose specialist subject knowledge needs deepening prior to training for qualified teacher status (QTS). King's College London in conjunction with Queen Mary College, University of London, has designed a 12-unit SKE programme for computer science funded by the National College for Teaching and Leadership.

In order to be eligible for SKE (for which you may also obtain a bursary) you need an offer of a place on one of the King's PGCE programmes: either computer science or information technology and computer science. At the PGCE interview we will assess your SKE needs and determine which units you should take. Our SKE courses are also open to candidates who have PGCE offers, conditional on SKE, from other institutions. The programme runs between April and September. Please note that it is not intended for graduates in non-IT disciplines who wish to retrain in computer science: for that we recommend a conversion MSc programme (eg http://www.eecs.qmul.ac.uk/postgraduates/programme/view/21).

- Course purpose -

Our programme is for computing/ICT specialists wishing to train to be teachers of pupils aged 11-18 in computing (previously called ICT) to GCSE level and information technology to A-level. A parallel programme, PGCE Computer Science, enables computer science specialists to train to be teach computer science to A-level. The programme will lead to the Department for Education's (HM Government) Standards for QTS which are assessed through teaching practice observation, portfolios and written assignments.

- Course format and assessment -

The 45-credit honours-level module will be assessed by a combination of a written portfolio (equivalent to 8,000 words) and assessment of your teaching practice against the teaching standards as set out by the government’s Department for Education. Progress in meeting the teaching standards will be monitored through three progress reports that will be completed by staff at the placement school.

The 30-credit master’s-level modules will each be assessed by an 8,000-word written assignment.

The 15-credit honours-level module will be assessed by a 4,000-word written assignment.

Career prospects

The majority of trainees go into teaching or other areas of education: many become heads of departments or members of senior management teams; some take up careers in educational administration in the advisory or inspection services.

How to apply: http://www.kcl.ac.uk/study/postgraduate/apply/taught-courses.aspx

About Postgraduate Study at King’s College London:

To study for a postgraduate degree at King’s College London is to study at the city’s most central university and at one of the top 20 universities worldwide (2015/16 QS World Rankings). Graduates will benefit from close connections with the UK’s professional, political, legal, commercial, scientific and cultural life, while the excellent reputation of our MA and MRes programmes ensures our postgraduate alumni are highly sought after by some of the world’s most prestigious employers. We provide graduates with skills that are highly valued in business, government, academia and the professions.

Scholarships & Funding:

All current PGT offer-holders and new PGT applicants are welcome to apply for the scholarships. For more information and to learn how to apply visit: http://www.kcl.ac.uk/study/pg/funding/sources

Free language tuition with the Modern Language Centre:

If you are studying for any postgraduate taught degree at King’s you can take a module from a choice of over 25 languages without any additional cost. Visit: http://www.kcl.ac.uk/mlc

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Take advantage of one of our 100 Master’s Scholarships to study Teaching English to Speakers of Other Languages (TESOL) at Swansea University, the Times Good University Guide’s Welsh University of the Year 2017. Read more
Take advantage of one of our 100 Master’s Scholarships to study Teaching English to Speakers of Other Languages (TESOL) at Swansea University, the Times Good University Guide’s Welsh University of the Year 2017. Postgraduate loans are also available to English and Welsh domiciled students. For more information on fees and funding please visit our website.

The MA in Teaching English to Speakers of Other Languages (TESOL) is offered by specialists in the field of Applied Linguistics.

Key Features of TESOL

Swansea University has one of the longest established Teaching English to Speakers of Other Languages (TESOL) training and education centres in the UK and is internationally known for excellence in vocabulary research. Currently staff expertise exists in corpus linguistics, computer assisted language learning and stylistics. Internationally recruited staff offer a wide range of relevant experience and contacts across countries and continents as well as different levels of kinds of education. The MA in Teaching English to Speakers of Other Languages (TESOL) is intended for those who have already begun to develop an informed interest or have some previous training or relevant experience in the field.

El Gazette ranked the Department of English Language and Applied Linguistics at Swansea, top for world class research in English Language.

Students enrolled on the Teaching English to Speakers of Other Languages (TESOL) programme will benefit from the College of Arts and Humanities' Graduate Centre. The Graduate Centre fosters and supports individual and collaborative research activity of international excellence and offers a vibrant and supportive environment for students pursuing postgraduate research and taught Master's study. The Centre provides postgraduate training to enhance academic and professional development and facilitates participation in seminar programmes, workshops and international conferences.

The MA in Teaching English to Speakers of Other Languages (TESOL) has two parts: a taught component and either a dissertation or practical teaching of English language classes.

TESOL students following the practical route will be supported, observed and assessed teaching English. They are also required to produce a portfolio of teaching and testing materials. This route would be indicated on the final MA certificate.

TESOL Programme Aims

- The MA TESOL is a one-year full time, campus-based programme designed to give (prospective) teachers of English as a foreign/second language a thorough understanding of current theories, trends, and cutting edge applied linguistics research relevant for language teaching.

- The Teaching English to Speakers of Other Languages (TESOL) programme also aims to stimulate reflection on students’ own teaching practices.

- TESOL students are assessed through a range of assessments, including essays, data analysis projects, group projects, and in-class
exams.

- TESOL students with some experience in language teaching and/or some formal background in linguistics are likely to benefit most from the programme.

Modules

Modules on the Teaching English to Speakers of Other Languages (TESOL) programme typically include:

• Vocabulary: Teaching and Learning
• Describing English
• Discourse Analysis for ELT
• Communicative Language Teaching
• Second Language Acquisition
• Young Language Learners
• Research Methods for ELT
• Language Testing and Assessment

Who should Apply to the TESOL Programme?

- Prospective students interested in teaching English as a foreign or second language.

- Prospective students who have experience of teaching English as a second or foreign language, or who have some previous training or relevant work experience in the field.

- Prospective students who wish to gain academic training in applied linguistics, in preparation for advanced academic degrees (e.g., MPhil, PhD) in applied linguistics or related disciplines.

Career Opportunities

Graduates from the MA Teaching English to Speakers of Other Languages (TESOL) at Swansea can expect to pursue careers in ESL and EFL teaching, teacher training, material development, international education, publishing, and in a wide range of international settings requiring in-depth understanding of language learning, teaching, and research.

Student Quote

“Studying abroad has always been one of my dreams. My friends have always told me that the period studying as a student is the most enjoyable time in life. I didn't really believe it till I started my MA course at the Swansea University. The course in Teaching English As a Foreign Language (TEFL, now TESOL) helped me to deepen my knowledge in that field. All of the lecturers I had a chance to meet were really helpful, motivating and friendly. They were professional and possessed a great knowledge of what they teach. The modules offered include theory as well as practice. The facilities provided by the University, such as computer rooms and the library were great as well and well equipped. I really regret that the time I spent in Swansea is now over. It was a great experience for me and gave me a chance to meet and make friends with many people from all over the world.”

Anna Marie Poczta, Teaching English to Speakers of Other Languages (TESOL), MA

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Take advantage of one of our 100 Master’s Scholarships or College of Science Postgraduate Scholarships to study Advanced Computer Science at Swansea University, the Times Good University Guide’s Welsh University of the Year 2017. Read more
Take advantage of one of our 100 Master’s Scholarships or College of Science Postgraduate Scholarships to study Advanced Computer Science at Swansea University, the Times Good University Guide’s Welsh University of the Year 2017. Postgraduate loans are also available to English and Welsh domiciled students. For more information on fees and funding please visit our website.

On the MSc in Advanced Computer Science course you will be thoroughly prepared for a career in IT or related industries. The Advanced Computer Science course is for you if you are a Computer Science graduate or if you have gained experience of computing and programming in a different first degree. Willingness to work hard and an ability to problem solve are equally important for this MSc in Advanced Computer Science. The MSc in Advanced Computer Science course will develop the skills and knowledge you have gained from your first degree by broadening and deepening your knowledge of Computer Science through a variety of advanced modules and material. The MSc in Advanced Computer Science is accredited by the British Computer Society.

Key Features of Advanced Computer Science MSc

• We are top in the UK for career prospects*
• We are 3rd in the UK for teaching quality**
• 5th in the UK overall*
• 7th in the UK for student satisfaction with 98% [National Student Survey 2016]
• 7th in the UK overall and Top in Wales*
• High employability prospects - we are 8th in the UK for graduate prospects*
• 92% in graduate employment or further study six months after leaving University [HESA data 2014/15]
• UK TOP 20 for Research Excellence [Research Excellence Framework 2014]
• Our Project Fair allows students to present their work to local industry
• Strong links with industry
• £31m Computational Foundry for computer and mathematical sciences will provide the most up-to-date and high quality teaching facilities featuring world-leading experimental set-ups, devices and prototypes to accelerate innovation and ensure students will be ready for exciting and successful careers. (From September 2018)

*Guardian University Guide 2017
**Times & Sunday Times University Guide 2016

Modules of Advanced Computer Science MSc

Modules for the MSc in Advanced Computer Science include Computer Science Project Research Methods but please visit our course page for more information.

Facilities

The Department of Computer Science is well equipped for teaching, and is continually upgrading its laboratories to ensure equipment is up-to-date – equipment is never more than three years old, and rarely more than two. Currently, our Computer Science students use three fully networked laboratories: one, running Windows; another running Linux; and a project laboratory, containing specialised equipment. These laboratories support a wide range of software, including the programming languages Java, C# and the .net framework, C, C++, Haskell and Prolog among many; integrated programme development environments such as Visual Studio and Netbeans; the widely-used Microsoft Office package; web access tools; and many special purpose software tools including graphical rendering and image manipulation tools; expert system production tools; concurrent system modelling tools; World Wide Web authoring tools; and databases.

As part of the expansion of the Department of Computer Science, we are building the Computational Foundry on our Bay Campus for computer science and mathematical science.

Careers

All Computer Science courses will provide you the transferable skills and knowledge to help you take advantage of the excellent employment and career development prospects in an ever growing and changing computing and ICT industry.

94% of our Postgraduate Taught Graduates of Computer Science were in professional level work or study [DLHE 14/15]

Student Profile

Francesca Madeddu, originally from Italy, completed an outstanding Master’s thesis (which earned her a distinction) investigating interaction with augmented reality on mobile devices. More specifically, she investigated how to interact with virtual Egyptian artefacts placed in real scenes. The final game was deployed at Swansea's Egypt Centre last year and was evaluated by volunteers working at the museum. A Master’s thesis does not often lead to a publication. However, part of Francesca's research was written up as an extended abstract and presented at Computer Graphics and Visual Computing (CGVC), a Eurographics UK conference for visual computing last year. An exceptional achievement!

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Take advantage of one of our 100 Master’s Scholarships to study Computer Science. Informatique at Swansea University, the Times Good University Guide’s Welsh University of the Year 2017. Read more
Take advantage of one of our 100 Master’s Scholarships to study Computer Science: Informatique at Swansea University, the Times Good University Guide’s Welsh University of the Year 2017. Postgraduate loans are also available to English and Welsh domiciled students. For more information on fees and funding please visit our website.

The MSc in Computer Science: Informatique is a Dual Degree scheme between Swansea University and Université Grenoble Alpes for computer science.

The MSc in Computer Science: Informatique Grenoble dual degree scheme is a two year programme that provides students with an opportunity to study in both Swansea, UK and Grenoble, France. One year of the Computer Science: Informatique programme students study at Swansea University and the second year of the programme students study at Université Grenoble Alpes. Upon successful completion of the programme, students will receive an M.Sc. in Advanced Computer Science from Swansea University and a Master from Université Grenoble Alpes.

Key Features of Computer Science: Informatique MSc

- We are top in the UK for career prospects [Guardian University Guide 2018]
- 5th in the UK overall [Guardian University Guide 2018]7th in the UK for student satisfaction with 98% [National Student Survey 2016]
- We are in the UK Top 10 for teaching quality [Times & Sunday Times University Guide 2017]
- 12th in the UK overall and Top in Wales [Times & Sunday Times University Guide 2017]
- 92% in graduate employment or further study six months after leaving University [HESA data 2014/15]
- UK TOP 20 for Research Excellence [Research Excellence Framework 2014]
- Our Project Fair allows students to present their work to local industry
- Strong links with industry
- £31m Computational Foundry for computer and mathematical sciences will provide the most up-to-date and high quality teaching facilities featuring world-leading experimental set-ups, devices and prototypes to accelerate innovation and ensure students will be ready for exciting and successful careers. (From September 2018)
- Top University in Wales [Times & Sunday Times University Guide 2017]

Modules of Computer Science: Informatique MSc

Modules on the MSc in Computer Science: Informatique may include:

Critical Systems; IT-Security: Theory and Practice; Visual Analytics; Data Science Research Methods and Seminars; Big Data and Data Mining; Data Visualization; Human Computer Interaction; Big Data and Machine Learning; Web Application Development; High Performance Computing in C/C++; Software Testing; Graphics Processor Programming; Embedded System Design; Mathematical Skills for Data Scientists; Logic in Computer Science; Computer Vision and Pattern Recognition; High-Performance Computing in C/C++; Hardware and Devices; Modelling and Verification Techniques; Operating Systems and Architectures.

Facilities

The Department of Computer Science is well equipped for teaching, and is continually upgrading its laboratories to ensure equipment is up-to-date – equipment is never more than three years old, and rarely more than two. Currently, Computer Science students use three fully networked laboratories: one, running Windows; another running Linux; and a project laboratory, containing specialised equipment. These laboratories support a wide range of software, including the programming languages Java, C# and the .net framework, C, C++, Haskell and Prolog among many; integrated programme development environments such as Visual Studio and Netbeans; the widely-used Microsoft Office package; web access tools; and many special purpose software tools including graphical rendering and image manipulation tools; expert system production tools; concurrent system modelling tools; World Wide Web authoring tools; and databases.

As part of our expansion, we are building the Computational Foundry on our Bay Campus for computer and mathematical sciences. This development is exciting news for Swansea Mathematics who are part of the vibrant and growing community of world-class research leaders drawn from computer and mathematical sciences.

Careers

All Computer Science courses will provide you the transferable skills and knowledge to help you take advantage of the excellent employment and career development prospects in an ever growing and changing computing and ICT industry.

94% of our Postgraduate Taught Computer Science Graduates were in professional level work or study [DLHE 14/15].

Some example job titles include:

Software Engineer: Motorola Solutions
Change Coordinator: Logica
Software Developer/Engineer: NS Technology
Workflow Developer: Irwin Mitchell
IT Developer: Crimsan Consultants
Consultant: Crimsan Consultants
Programmer: Evil Twin Artworks
Web Developer & Web Support: VSI Thinking
Software Developer: Wireless Innovations
Associate Business Application Analyst: CDC Software
Software Developer: OpenBet Technologies
Technical Support Consultant: Alterian
Programming: Rock It
Software Developer: BMJ Group

Research

The results of the Research Excellence Framework (REF) 2014 show that Swansea Computer Science ranked 11th in the UK for percentage of world-leading research, and 1st in Wales for research excellence. 40% of our submitted research assessed as world-leading quality (4*).

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We have combined our practical, intercultural, applied approach to language teaching with our expertise in linguistics to create a TESOL Masters programme that will help you to realise your full potential as a top-quality teacher of English as a second or foreign language. Read more
We have combined our practical, intercultural, applied approach to language teaching with our expertise in linguistics to create a TESOL Masters programme that will help you to realise your full potential as a top-quality teacher of English as a second or foreign language.

PROGRAMME OVERVIEW

Studying for your Masters in TESOL is the key to unlocking international career opportunities in a sector that is enjoying impressive sustained growth.

We will help you to master the main theories and principles of language learning and teaching so that you can apply them with confidence and imagination in your own teaching practice.

A range of optional modules will allow you to specialise, while the dissertation will enable you to undertake in-depth research into a topic of particular interest to you.

This course is a great complement to a teaching qualification, opening up opportunities to become an active member of the international academic and professional English Language Teaching community.

PROGRAMME STRUCTURE

This programme is studied full-time over one academic year and part-time students must study at least two taught technical modules per academic year. It consists of eight taught modules and a dissertation. The following modules are indicative, reflecting the information available at the time of publication. Please note that not all modules described are compulsory and may be subject to teaching availability and/or student demand.
-Second Language Acquisition and Learning
-English Grammar for Teachers
-Phonetics and Phonology for Teachers
-Language Teaching Methodology
-Curriculum Design -
-Research Methodologies
-Testing and Assessment in ELT
-Text and Discourse Analysis
-Teaching Intercultural Communication
-Computer Assisted Language Learning
-Teaching English for Specific Purposes
-ELT Materials: Design and Evaluation
-Teaching Young Learners
-Management in ELT
-Dissertation

EDUCATIONAL AIMS OF THE PROGRAMME

This programme is designed for students who have little or no previous language teaching experience or training but who have a strong interest in English language teaching and who are planning a career in the sector.

It's main aim is therefore to provide a sound academic basis in English language teaching through the exploration of major issues in language teaching and learning, including how practice is informed by theory, thereby determining the methods/approaches as well as the materials teachers use and their impact in ESOL classrooms.

The programme thus combines the study of the major principles of, and scholarly approaches to, TESOL with opportunities for application and practice. Specifically, the programme aims to:
-Advance students’ knowledge and understanding of the grammatical, lexical and phonological structures and stylistic registers of English and how they work together in producing effective communication
-Introduce students to theoretical issues in TESOL through an exploration of scholarly writing in the field and to the application of these theories within the ESOL classroom
-Promote critical engagement with concepts, theories and practices associated with English language teaching through reflection and evaluation
-Provide a theoretical and methodological framework within which students can take responsibility for their own learning and formulate and address their own research questions
-Provide opportunities for students to create and carry out a project of significant complexity in the field of TESOL
-Foster reflective practice

PROGRAMME LEARNING OUTCOMES

The programme provides opportunities for students to develop and demonstrate knowledge and understanding, skills, qualities and other attributes in the following areas:

Knowledge and understanding
-Describe and explain the underlying grammatical, lexical and phonological structures of the English language
-Demonstrate understanding of the way communication is constructed, maintained or repaired through English
-Evaluate theoretical issues relevant to second language acquisition and learning
-Critically assess the principles underpinning curriculum design, language teaching methodology and materials selection
-Demonstrate understanding of the main issues relevant to testing and assessment of language learning
-Apply the principles which underpin the design and implementation of research projects in English language teaching

Intellectual/cognitive skills
-Demonstrate high level learning and problem-solving skills
-Reflect upon the knowledge gained and incorporate this into independent learning strategies and practical classroom practice
-Formulate and address research questions relating to the field of study
-Create and carry out a project of significant complexity in the field of TESOL
-Critically appreciate and evaluate theories of language acquisition and learning, curriculum design, teaching methodologies and apply this

Professional practical skills
-Apply theoretically informed understandings to various contexts in TESOL
-Critically assess the appropriate approaches for applying teaching and learning strategies within various TESOL context
-Apply appropriate English language teaching methodologies in various TESOL contexts
-Evaluate and apply appropriate methods of assessment and testing in language teaching
-Display competence in a range of skills at postgraduate level, including advanced analysis and synthesis of arguments, presentation, conducting independent research

Key/transferable skills
-Work both independently and with others in order to achieve common goals
-Manage learning self-critically
-Critically evaluate research using appropriate theoretical and/or methodological frameworks
-Organise and manage a research project of significant complexity

GLOBAL OPPORTUNITIES

We often give our students the opportunity to acquire international experience during their degrees by taking advantage of our exchange agreements with overseas universities.

In addition to the hugely enjoyable and satisfying experience, time spent abroad adds a distinctive element to your CV.

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Take advantage of one of our 100 Master’s Scholarships to study Theoretical Computer Science at Swansea University, the Times Good University Guide’s Welsh University of the Year 2017. Read more
Take advantage of one of our 100 Master’s Scholarships to study Theoretical Computer Science at Swansea University, the Times Good University Guide’s Welsh University of the Year 2017. Postgraduate loans are also available to English and Welsh domiciled students. For more information on fees and funding please visit our website.

Computer Science is at the cutting edge of modern technology, is developing rapidly, and Swansea Computer Science graduates enjoy excellent employment prospects.

Computer Science now plays a part in almost every aspect of our lives - science, engineering, the media, entertainment, travel, commerce and industry, public services and the home.

The MSc by Research Theoretical Computer Science enables students to pursue a one year individual programme of research. The
Theoretical Computer Science programme would normally terminate after a year. However, under appropriate circumstances, this first year of research can also be used in a progression to Year 2 of a PhD degree.

As a student of the Theoretical Computer Science MSc by Research programme, you will be fully integrated into one of our established computer science research groups and participate in research activities such as seminars, workshops, laboratories, and field work.

Key Features of Theoretical Computer Science

The Department of Computer Science is amongst the top 25 in the UK, with a growing reputation in research both nationally and internationally in computer science. It is home to world class researchers, excellent teaching programmes and fine laboratory facilities.

All postgraduate Computer Science programmes will provide you the transferable skills and knowledge to help you take advantage of the excellent employment and career development prospects in an ever growing and changing computing and ICT industry.

Facilities

The Department of Computer Science is well equipped for teaching, and is continually upgrading its laboratories to ensure equipment is up-to-date – equipment is never more than three years old, and rarely more than two. Currently, our Computer Science students use three fully networked laboratories: one, running Windows; another running Linux; and a project laboratory, containing specialised equipment. These laboratories support a wide range of software, including the programming languages Java, C# and the .net framework, C, C++, Haskell and Prolog among many; integrated programme development environments such as Visual Studio and Netbeans; the widely-used Microsoft Office package; web access tools; and many special purpose software tools including graphical rendering and image manipulation tools; expert system production tools; concurrent system modelling tools; World Wide Web authoring tools; and databases.

As part of the expansion of the Department of Computer Science, we are building the Computational Foundry on our Bay Campus for computer science and mathematical science.

Research

The results of the Research Excellence Framework (REF) 2014 show that we lead Wales in the field of Computer Science and are in the UK Top 20.

We are ranked 11th in the UK for percentage of world-leading research, and 1st in Wales for research excellence. 40% of our submitted research assessed as world-leading quality (4*).

Links with Industry

Each spring, Computer Science students prepare and present a poster about their project at a project fair – usually together with a system or software demonstration. The Department of Computer Science also strongly encourages students to create CVs and business cards to take along to the fair, as businesses and employers visit to view the range of projects and make contact with the graduating students.

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The English Language Teaching (ELT) MA degree provides professional development for teachers working in a variety of educational settings. Read more
The English Language Teaching (ELT) MA degree provides professional development for teachers working in a variety of educational settings.

While balancing theory and practice you will develop skills in language description and analysis, and learn how to tailor teaching methods and learning materials to suit institutional requirements, local circumstances, and learners’ wants and needs.

- You will have access to some of the most recent and relevant English language research
- Observe English language classes and undertake teaching practice
- In the final stages of the course you may have the opportunity to complete a (salaried) ten-month overseas teaching placement

Why Study English Langauge Teaching MA Degree?
* You will have access to some of the most recent and relevant English language research
* Observe English language classes and undertake teaching practice
* In the final stages of the course you may have the opportunity to complete a (salaried) ten-month overseas teaching placement
* You will be taught by a team consisting of international experts on corpus linguistics, computer assisted language learning, Teaching English as a Foreign Language (TEFL), discourse and varieties of English (including business English) and second language acquisition
* The final stage can be completed off campus, and participants may elect to submit a reflective portfolio of their own professional practice instead of a dissertation
* The flexibility of the course enables applicants with recognised ELT qualifications to qualify for some accreditation of prior learning (APL)


The course can enhance your career prospects in teaching and management posts in schools and colleges, as well as government/civil service posts in relation to staff support and development, curriculum and materials design.

Course Content:
Students on the English Language Teaching MA will:

* Consider the theory and practice of English language learning and teaching, and the relevance of major language learning and language acquisition theories
* Develop skills in the evaluation and design of teaching and learning materials for a variety of settings
* Explore the role played by new technologies for learning, teaching and communicating
* Develop skills in the analysis of English as it is spoken and written in the UK and in the rest of the world
* Have opportunities to practise teaching and observe experienced teachers in a variety of face-to-face and blended-learning settings

Structure

The programme runs over three terms. Students normally take four 15-credit modules in term 1, four 15-credit modules in term 2 and complete a Dissertation or a Professional Practice Portfolio in term 3.

The delivery of the Research Methods module is distributed over the first two terms. Term 3 does not require attendance and students can elect to complete their dissertation/portfolio off-campus. If they do so, they will be supervised online in distance learning mode for this stage of their programme.

Assessment is normally completed at or soon after the end of the ten weeks of teaching for all 15-credit modules.

Module Information

Mandatory Modules

* Theories & Methods of Language Learning & Teaching
* Materials Design & Evaluation
* Analysing Written & Spoken Discourse
* The Social Context - Culture & Interaction
* The English Language: Structure
* The Phonology & The Semantics of the English Language
* Research Methods in Applied Linguistics

Options (Students must choose 3, one of which must be either Dissertation or Professional Practice Portfolio)

* Teaching English in Higher Education
* Computer Assisted Language Learning (CALL): Past, Present & Future
* Teaching English for Business
* Language Testing & Assessment
* Professional Practice Portfolio
* Dissertation in Applied Linguistics

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This programme provides professional development for English language teachers, and focuses on the theory and practice of teaching the English language in a variety of contexts, drawing on innovative research carried out by members of the School of Humanities, which includes work on Mobile Assisted Language Learning (MALL), corpus linguistics, Academic English and telecollaboration. Read more
This programme provides professional development for English language teachers, and focuses on the theory and practice of teaching the English language in a variety of contexts, drawing on innovative research carried out by members of the School of Humanities, which includes work on Mobile Assisted Language Learning (MALL), corpus linguistics, Academic English and telecollaboration.

A distinctive feature of the programme is that you will have opportunities to observe English Language classes in higher education and undertake microteaching practice. You will also develop digital expertise with state-of-the-art e-learning tools and focus on specific English Language issues relating to your own educational contexts.

WHY CHOOSE THIS COURSE?

Students on the programme state that staff provide them with excellent academic and pastoral support and that their learning experience is very positive (evidence from module and course evaluation questionnaires). The course also focuses on the future world of work and students may apply for part-time paid teaching opportunities and work placements within Coventry University, including placements overseas.

The assessment on the programme is varied and includes essays, reports, presentations, digital learning object design, microteaching and seen in-class tests. The course also offers extra-curricular activities, such as participation in lectures and workshops with renowned visiting applied linguists andeducation experts.

There also is a free field trip relevant to the curriculum. In 2014 for example we went to the British Museum in London and then designed intercultural teaching tasks based on the objects viewed at the museum (activity linked to the mandatory module on materials design).

You will moreover be offered other field trips at competitive rates as they are supported by the Faculty of Arts and Humanities and by the Centre for Global Engagement.

WHAT WILL I LEARN?

You will:
-Discuss theory and practice of English language learning and teaching
-Develop skills in the evaluation and design of teaching materials for a variety of settings
-Explore the role played by new technologies for learning, teaching and communicating
-Analyse English as it is spoken and written in the UK and in the rest of the world
-Have the opportunity to practice teaching and observe experienced teachers in a variety of face-to-face and blended-learning settings

The mandatory modules are:
-Theories, Approaches and Methods of Language Learning and Teaching
-Developing Language Teaching Materials
-Analysing Written and Spoken Discourse
-Grammar and Phonology for the English Language Teacher
-Teaching English in Higher Education
-Computer Assisted Language Learning: Theory and Practice
-Dissertation in ELT/Applied Linguistics

In addition, you will choose three of the following optional modules:
-Business English;
-Sociolinguistics and English Language Teaching
-Teaching English Through Literature
-Corpus Analysis and Pedagogy
-English for Academic Purposes Course Design and Language Testing
-Understanding Academic English

HOW WILL THIS COURSE BE TAUGHT?

The full-time, face-to-face, programme runs over three semesters. There are two entry points: September and January. Students normally take four 15-credit modules in semester 1, four 15-credit modules modules in semester 2, and complete a Dissertation in semester 3.

Modules are taught face-to-face with lectures, workshops, laboratory sessions and seminars. All students are asked to submit a diagnostic task on arrival (normally a short essay). One-to-one support is available for students who need practise in academic English writing.

The delivery of all modules is supported by an online learning environment that is used, for example, to display content material, to submit assignments and provide electronic feedback, to discuss seminar topics (discussion forums), to design student-centred glossaries and to engage in online assessment and practice.

Students are also offered the opportunity to discuss English language teaching and analyse the English language with dedicated e-learning platforms for specific purposes (e.g. Corpus Linguistics tools, Computer Assisted Language Learning and Mobile Assisted Language Learning platforms).

Staff teaching on the programme also make use of the new learning spaces in the Disruptive Media Learning Laboratory in the Lanchester Library, to encourage students to practise English teaching in a variety of settings.

A part-time programme is available for UK/EU applicants, and can be tailored to the needs of each applicant.

HOW WILL I BE ASSESSED?

A variety of assessed tasks have been integrated into this programme, offering you a stimulating assessment experience and to enable you to reflect on your work, as the programme is designed to train teachers who will assess work themselves. Each module will normally have two assessment tasks and you will receive feedback on the first task before you submit the second one. The assessment tasks include seen examinations, presentations, essays and reports, corpus-based syllabus and course design, microteaching, reflective test design, e-learning object design in group and peer observation reports.

The external examiners have commented very positively on the variety, innovation and appropriateness of the assessment tasks on this programme. For example in 2013-2014 the External Examiner commented in his annual report: 'The assessment tasks are of good quality - well conceived, often imaginative, and in many cases appropriately practical, matching well with intended learning outcomes. I commend this.'

HOW WILL THIS COURSE ENHANCE MY CAREER PROSPECTS?

English looks likely to continue as the international language for the foreseeable future, and this MA programme leads to a variety of career destinations in teaching the language and/or in education management. Qualifications of this kind are often seen as important for access to senior management posts in both private and state educational institutions around the world. In addition to classroom teaching you will be well equipped to perform roles such as materials developer, resource manager and examiner.

Graduates from the MA in ELT are currently employed as professors in Jordan and China, as Pre-sessional Programme Coordinators in the UK and China and as Academic English Consultants for both the private and public sector, just to provide a few examples.

WORK PLACEMENTS

You will be provided support to find a work placement by dedicated staff in the careers office and in the Centre for Global Engagement.

OPPORTUNITIES FOR AN INTERNATIONAL EXPERIENCE

You will be offered the opportunity to take part in the global leaders programme (additional fees apply, see further details below) that includes international experiences. There will also be international trips organised by the School in collaboration with the Centre for Global Engagement. As English is a global language, international perspectives on learning and teaching English are fully embedded in the curriculum.

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If you are intrigued by the acquisition, processing, analysis and understanding of computer vision, this Masters is for you. The programme is offered by Surrey's Department of Electrical and Electronic Engineering, recognised for world-leading research in multimedia signal processing and machine learning. Read more
If you are intrigued by the acquisition, processing, analysis and understanding of computer vision, this Masters is for you.

The programme is offered by Surrey's Department of Electrical and Electronic Engineering, recognised for world-leading research in multimedia signal processing and machine learning.

PROGRAMME OVERVIEW

This degree provides in-depth training for students interested in a career in industry or in research-oriented institutions focused on image and video analysis, and deep learning.

State-of-the-art computer-vision and machine-learning approaches for image and video analysis are covered in the course, as well as low-level image processing methods.

Students also have the chance to substantially expand their programming skills through projects they undertake.

PROGRAMME STRUCTURE

This programme is studied full-time over 12 months and part-time over 48 months. It consists of eight taught modules and a standard project.

The following modules are indicative, reflecting the information available at the time of publication. Please note that not all modules described are compulsory and may be subject to teaching availability and/or student demand.
-Digital Signal Processing A
-Object Oriented Design and C++
-Image Processing and Vision
-Space Robotics and Autonomy
-Satellite Remote Sensing
-Computer Vision and Pattern Recognition
-AI and AI Programming
-Advanced Signal Processing
-Image and Video Compression
-Standard Project

EDUCATIONAL AIMS OF THE PROGRAMME

The taught postgraduate degree programmes of the Department of Electronic Engineering are intended both to assist with professional career development within the relevant industry and, for a small number of students, to serve as a precursor to academic research.

Our philosophy is to integrate the acquisition of core engineering and scientific knowledge with the development of key practical skills (where relevant). To fulfil these objectives, the programme aims to:
-Attract well-qualified entrants, with a background in Electronic Engineering, Physical Sciences, Mathematics, Computing and Communications, from the UK, Europe and overseas.
-Provide participants with advanced knowledge, practical skills and understanding applicable to the MSc degree
-Develop participants' understanding of the underlying science, engineering, and technology, and enhance their ability to relate this to industrial practice
-Develop participants' critical and analytical powers so that they can effectively plan and execute individual research/design/development projects
-Provide a high level of flexibility in programme pattern and exit point
-Provide students with an extensive choice of taught modules, in subjects for which the Department has an international and UK research reputation

Intended capabilities for MSc graduates
-Know, understand and be able to apply the fundamental mathematical, scientific and engineering facts and principles that underpin computer vision, machine learning as well as how they can be related to robotics
-Be able to analyse problems within the field computer vision and more broadly in electronic engineering and find solutions
-Be able to use relevant workshop and laboratory tools and equipment, and have experience of using relevant task-specific software packages to perform engineering tasks
-Know, understand and be able to use the basic mathematical, scientific and engineering facts and principles associated with the topics within computer vision, machine learning
-Be aware of the societal and environmental context of his/her engineering activities
-Be aware of commercial, industrial and employment-related practices and issues likely to affect his/her engineering activities
-Be able to carry out research-and-development investigations
-Be able to design electronic circuits and electronic/software products and systems

Technical characteristics of the pathway
This programme in Computer Vision, Robotics and Machine Learning aims to provide a high-quality advanced training in aspects of computer vision for extracting information from image and video content or enhancing its visual quality using machine learning codes.

Computer vision technology uses sophisticated signal processing and data analysis methods to support access to visual information, whether it is for business, security, personal use or entertainment. The core modules cover the fundamentals of how to represent image and video information digitally, including processing, filtering and feature extraction techniques.

An important aspect of the programme is the software implementation of such processes. Students will be able to tailor their learning experience through selection of elective modules to suit their career aspirations.

Key to the programme is cross-linking between core methods and systems for image and video analysis applications. The programme has strong links to current research in the Department of Electronic Engineering’s Centre for Vision, Speech and Signal Processing.

PROGRAMME LEARNING OUTCOMES

The Department's taught postgraduate programmes are designed to enhance the student's technical knowledge in the topics within the field that he/she has chosen to study, and to contribute to the Specific Learning Outcomes set down by the Institution of Engineering and Technology (IET) (which is the Professional Engineering body for electronic and electrical engineering) and to the General Learning Outcomes applicable to all university graduates.

General transferable skills
-Be able to use computers and basic IT tools effectively
-Be able to retrieve information from written and electronic sources
-Be able to apply critical but constructive thinking to received information
-Be able to study and learn effectively
-Be able to communicate effectively in writing and by oral presentations
-Be able to present quantitative data effectively, using appropriate methods

Time and resource management
-Be able to manage own time and resources
-Be able to develop, monitor and update a plan, in the light of changing circumstances
-Be able to reflect on own learning and performance, and plan its development/improvement, as a foundation for life-long learning

Underpinning learning
-Know and understand scientific principles necessary to underpin their education in electronic and electrical engineering, to enable appreciation of its scientific and engineering content, and to support their understanding of historical, current and future developments
-Know and understand the mathematical principles necessary to underpin their education in electronic and electrical engineering and to enable them to apply mathematical methods, tools and notations proficiently in the analysis and solution of engineering problems
-Be able to apply and integrate knowledge and understanding of other engineering disciplines to support study of electronic and electrical engineering

Engineering problem-solving
-Understand electronic and electrical engineering principles and be able to apply them to analyse key engineering processes
-Be able to identify, classify and describe the performance of systems and components through the use of analytical methods and modelling techniques
-Be able to apply mathematical and computer-based models to solve problems in electronic and electrical engineering, and be able to assess the limitations of particular cases
-Be able to apply quantitative methods relevant to electronic and electrical engineering, in order to solve engineering problems
-Understand and be able to apply a systems approach to electronic and electrical engineering problems

Engineering tools
-Have relevant workshop and laboratory skills
-Be able to write simple computer programs, be aware of the nature of microprocessor programming, and be aware of the nature of software design
-Be able to apply computer software packages relevant to electronic and electrical engineering, in order to solve engineering problems

Technical expertise
-Know and understand the facts, concepts, conventions, principles, mathematics and applications of the range of electronic and electrical engineering topics he/she has chosen to study
-Know the characteristics of particular materials, equipment, processes or products
-Have thorough understanding of current practice and limitations, and some appreciation of likely future developments
-Be aware of developing technologies related to electronic and electrical engineering
-Have comprehensive understanding of the scientific principles of electronic engineering and related disciplines
-Have comprehensive knowledge and understanding of mathematical and computer models relevant to electronic and electrical engineering, and an appreciation of their limitations
-Know and understand, at Master's level, the facts, concepts, conventions, principles, mathematics and applications of a range of engineering topics that he/she has chosen to study
-Have extensive knowledge of a wide range of engineering materials and components
-Understand concepts from a range of areas including some from outside engineering, and be able to apply them effectively in engineering projects

Societal and environmental context
-Understand the requirement for engineering activities to promote sustainable development
-Relevant part of: Be aware of the framework of relevant legal requirements governing engineering activities, including personnel, health, safety and risk (including environmental risk issues
-Understand the need for a high level of professional and ethical conduct in engineering

Employment context
-Know and understand the commercial and economic context of electronic and electrical engineering processes
-Understand the contexts in which engineering knowledge can be applied (e.g. operations and management, technology development, etc.)
-Be aware of the nature of intellectual property
-Understand appropriate codes of practice and industry standards
-Be aware of quality issues
-Be able to apply engineering techniques taking account of a range of commercial and industrial constraints
-Understand the basics of financial accounting procedures relevant to engineering project work
-Be able to make general evaluations of commercial risks through some understanding of the basis of such risks
-Be aware of the framework of relevant legal requirements governing engineering activities, including personnel, health, safety and risk (including environmental risk) issues

Research and development
-Understand the use of technical literature and other information sources
-Be aware of the need, in appropriate cases, for experimentation during scientific investigations and during engineering development
-Be able to use fundamental knowledge to investigate new and emerging technologies
-Be able to extract data pertinent to an unfamiliar problem, and employ this data in solving the problem, using computer-based engineering tools when appropriate
-Be able to work with technical uncertainty

Design
-Understand the nature of the engineering design process
-Investigate and define a problem and identify constraints, including environmental and sustainability limitations, and health and safety and risk assessment issues
-Understand customer and user needs and the importance of considerations such as aesthetics
-Identify and manage cost drivers
-Use creativity to establish innovative solutions
-Ensure fitness for purpose and all aspects of the problem including production, operation, maintenance and disposal
-Manage the design process and evaluate outcomes
-Have wide knowledge and comprehensive understanding of design processes and methodologies and be able to apply and adapt them in unfamiliar situations
-Be able to generate an innovative design for products, systems, components or processes, to fulfil new needs

Project management
-Be able to work as a member of a team
-Be able to exercise leadership in a team
-Be able to work in a multidisciplinary environment
-Know about management techniques that may be used to achieve engineering objectives within the commercial and economic context of engineering processes
-Have extensive knowledge and understanding of management and business practices, and their limitations, and how these may be applied appropriately

FACILITIES, EQUIPMENT AND SUPPORT

To support your learning, we hold regular MSc group meetings where any aspect of the programme, technical or non-technical, can be discussed in an informal atmosphere. This allows you to raise any problems that you would like to have addressed and encourages peer-based learning and general group discussion.

We provide computing support with any specialised software required during the programme, for example, Matlab. The Faculty’s student common room is also covered by the University’s open-access wireless network, which makes it a very popular location for individual and group work using laptops and mobile devices.

Specialist experimental and research facilities, for computationally demanding projects or those requiring specialist equipment, are provided by the Centre for Vision, Speech and Signal Processing (CVSSP).

CAREER PROSPECTS

Computer vision specialists are be valuable in all industries that require intelligent processing and interpretation of image and video. This includes industries in directly related fields such as:
-Multimedia indexing and retrieval (Google, Microsoft, Apple)
-Motion capture (Foundry)
-Media production (BBC, Foundry)
-Medical Imaging (Siemens)
-Security and Defence (BAE, EADS, Qinetiq)
-Robotics (SSTL)

Studying for Msc degree in Computer Vision offers variety, challenge and stimulation. It is not just the introduction to a rewarding career, but also offers an intellectually demanding and exciting opportunity to break through boundaries in research.

Many of the most remarkable advancements in the past 60 years have only been possible through the curiosity and ingenuity of engineers. Our graduates have a consistently strong record of gaining employment with leading companies.

Employers value the skills and experience that enable our graduates to make a positive contribution in their jobs from day one.

Our graduates are employed by companies across the electronics, information technology and communications industries. Recent employers include:
-BAE Systems
-BT
-Philips
-Hewlett Packard
-Logica
-Lucent Technologies
-BBC
-Motorola
-NEC Technologies
-Nokia
-Nortel Networks
-Red Hat

INDUSTRIAL COLLABORATIONS

We draw on our industry experience to inform and enrich our teaching, bringing theoretical subjects to life. Our industrial collaborations include:
-Research and technology transfer projects with industrial partners such as the BBC, Foundry, LionHead and BAE
-A number of our academics offer MSc projects in collaboration with our industrial partners

RESEARCH PERSPECTIVES

This course gives an excellent preparation for continuing onto PhD studies in computer vision related domains.

GLOBAL OPPORTUNITIES

We often give our students the opportunity to acquire international experience during their degrees by taking advantage of our exchange agreements with overseas universities.

In addition to the hugely enjoyable and satisfying experience, time spent abroad adds a distinctive element to your CV.

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The Award of Institutional Credit in Learning and Teaching in Higher Education (HE) is an applied, practice-based programme supporting professional development in higher education and offering a first step towards a higher education teaching qualification. Read more
The Award of Institutional Credit in Learning and Teaching in Higher Education (HE) is an applied, practice-based programme supporting professional development in higher education and offering a first step towards a higher education teaching qualification. The programme provides an introduction to teaching, learning and assessment in higher education for those with relatively little teaching but for whom a Postgraduate Certificate in Higher Education is not appropriate; fractional or part-time staff; those with teaching support or assistant roles. The programme's two courses provide solid grounding in the practice of teaching and reflection in higher education. Using a reflective and experiential approach, participants evaluate their own professional practice, relating this reflection to educational theory and scholarship to develop pedagogical understanding and innovative responses to the challenges of teaching in higher education. One of the two courses is studied with PG Certificate in Higher Education participants.

The 'Learning, teaching and assessing in higher education' course includes planning and facilitating learning, assessing, and giving feedback. 'Foundations of professional development in HE' includes development of a portfolio of evidence meeting expectations of the UK Professional Standards Framework, including teaching practice assessments.

The programme is online blended, using a variety of web 2.0 tools to provide socially interactive experience through learning activities including group-work and webinars, with 2 face-to-face Study Days (Saturdays) and teaching observations. Support is provided by the programme team, peers, online tutor, personal tutor and mentors.

Outcomes of successful completion include eligibility for Associate Fellowship of the HEA and 20 credits at level 7, for potential progression into a PG Certificate in HE with Accreditation of Prior Learning (APL).

The aims of the programme are:

Enable participants to design and implement individual teaching and learning episodes

- Develop participants' facilitative, reflective and evaluative skills for teaching and learning
- Provide the opportunity and impetus for participants to advance their own professional development as part of a community of scholars and professionals
- Provide a basis for progression into the PG Certificate in Higher Education or equivalent HE teaching qualification.

Visit the website http://www2.gre.ac.uk/study/courses/pg/eduge/awa-cre

Education - General

Our programmes in education benefit post graduate professionals and researchers from a wide range of backgrounds. Focus on independent research. Or combine taught coursework with a supervised thesis. You can tailor your programme to suit your own interests and ambitions.

What you'll study

- Learning, teaching and assessing in higher education
- Foundations of professional development in HE

Fees and finance

Your time at university should be enjoyable and rewarding, and it is important that it is not spoilt by unnecessary financial worries. We recommend that you spend time planning your finances, both before coming to university and while you are here. We can offer advice on living costs and budgeting, as well as on awards, allowances and loans.

Assessment

The programme is assessed through a variety of coursework assignments including formative group and individual assignments using different media and summative individual reflective assignments including essays, teaching practice assessments and an e-portfolio which evidences reflective practice, meeting the expectations of the UK Professional Standards Framework (Associate Fellowship). All coursework is marked on a pass/fail basis, and excellence is recognised in the feedback.

Specialist equipment/facilities

For successful participation in the programme access to a computer with audio capacity, a camera/webcam and very good broadband connection are required. The programme provides induction and support where needed in use of technology for online learning and teaching.

Professional recognition

Accredited by the Higher Education Academy for Associate Fellowship of the HEA.

Career options

The programme helps to equip participants for a career in HE teaching and provides a first step towards an HE teaching qualification.

Find out how to apply here - http://www2.gre.ac.uk/study/apply

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Computer science has a brilliant future! You could help to create new network solutions, build the future digital society, develop secure digital services, or be involved in a ground-breaking international software project. Read more
Computer science has a brilliant future! You could help to create new network solutions, build the future digital society, develop secure digital services, or be involved in a ground-breaking international software project. Perhaps you will develop algorithms for utilising genome data in medicine or optimise bus routes using positioning data. Do you wonder about all the things that can be automated? Or would you like to dig deeper and become a researcher?

In the Master’s programme in computer science you can become an expert in a wide range of fields. You will have access to the focus areas of research in computer science at the University of Helsinki: algorithms, distributed or networked systems, and software engineering. You will gain lasting professional skills for specialist, design, or managerial posts in the corporate world, or for research and doctoral education, since the Master’s programme in computer science gives you the aptitude for both independent working and multidisciplinary teamwork.

This education will give you:
-The ability to advance your knowledge in the different areas of computer science.
-The skill to seek, assess, and analyse scientific information in your own area of expertise, and apply the methods of the field in an ethical and sustainable way.
-The ability to act as expert in the field, and to develop the practices and methods of your field in cooperation with specialists from other fields.
-Oral and written communication skills in an international work environment.

The quality teaching within the computer science programme at the University of Helsinki has been highlighted repeatedly in national and international teaching assessments. The student-centred, in-depth learning gives you a solid basis for life-long learning. Studying at the leading research unit for computer science in Finland offers you constant interaction with current research and insight into the development patterns in the field.

The University of Helsinki will introduce annual tuition fees to foreign-language Master’s programmes starting on August 1, 2017 or later. The fee ranges from 13 000-18 000 euros. Citizens of non-EU/EEA countries, who do not have a permanent residence status in the area, are liable to these fees. You can check this FAQ at the Studyinfo website whether or not you are required to pay tuition fees: https://studyinfo.fi/wp2/en/higher-education/higher-education-institutions-will-introduce-tuition-fees-in-autumn-2017/am-i-required-to-pay-tuition-fees/

Programme Contents

In future, we will increasingly be using intelligent tools, consisting of networked hardware, software, services, and data. They will work based on intelligent, learning algorithms, data streams carried by communication protocols, and global infrastructures.

Within the Algorithms sub-programme, you will study effective algorithms and their application within other disciplines and in corporate life. Future IT systems will contain more and more intelligent components, the function of which will be based on complex mathematical models created automatically with the aid of machine-learning methods. The problems to be solved are computationally challenging, and the ever increasing amounts of data will create their own challenges when it comes to the efficiency of the algorithms needed.

The Networking and services sub-programme educates you to become an expert and strategic leader in the design and management of new global infrastructures. The infrastructures include Internet technologies in fixed networks and mobile environments, as well as the information and service networks built on top of them. Focus areas include the theory, data security, and trust within distributed systems, interactive systems, and the adaptability of services in a changing environment.

The Software systems sub-programme introduces you to the design and implementation of advanced software. The development of a shared software framework or platform for several software products is very demanding both technically and from the development project viewpoint. Developing such software requires technical skills, but also team- and project work, quality assurance, and communication. Within this sub-programme, you can specialise in software engineering, software technology, or information management, and study the current research questions in these areas in depth.

Selection of the Major

The sub-programmes in the Master’s programme for computer science are:
-Algorithms
-Networking and services
-Software systems

You can select any of these programmes according to your preferences at the beginning of your studies. The sub-programme determines which courses you should take.

Programme Structure

The Master’s programme comprises 120 credits, which can be completed in two years, in accordance with an approved personal study plan. The degree includes:
-80 credits of advanced courses, including shared courses within the programme, courses within the programme which support the thesis topic, the Master’s thesis (Pro gradu), 30 credits.
-40 credits of other courses from your own or other programmes. The other courses can include a work-orientation period.

Career Prospects

The employment outlook within the field is excellent. Masters of computer science find varied positions within the ICT field, both as employees and entrepreneurs. The nature of the education is also geared towards giving you an aptitude for managerial posts. All the sub-programmes provide the qualifications to find employment in a wide variety of jobs.

Software-system graduates often start their careers as software developers and designers, while network graduates often start with software at the infrastructure level (such as data communications, computation, or data entry). The skills learned in the algorithms sub-programme enable you to work on challenging tasks in various fields.

As a graduate you can find employment within small or large corporations as well as organisations in the private, public, or third sector. Due to the global nature of the field, you can find employment anywhere in the world. Taking modules from other education programmes will help you apply your computer science skills in other areas. Many jobs are based on these combinations.

Thanks to its strong scientific basis, the degree is also an excellent springboard to a doctoral programme.

Internationalization

There is a very international atmosphere within the programme, as nearly a third of the students come from abroad, and the advanced courses are instructed by international researchers.

In addition, the University of Helsinki and the Faculty of Science offer you many opportunities for international activities:
-Instruction in English within other education programmes.
-International tasks within the students’ organisations or union.
-Language courses at the Language Centre of the University of Helsinki.

You can also get information and counselling about independent international experience, such as:
-Student exchange in one of the exchange locations of the faculty or university.
-Traineeships abroad.

Computer science at the University of Helsinki is a popular exchange location, especially from Germany. Some 5-10 students come annually; exchange students have come from 14 countries in recent years. The students in the department have taken exchange periods in 16 countries in the past few years.

Research Focus

There are several multidisciplinary research projects under way at the Faculty of Science, which are being carried out in cooperation with the research institutes on the science campus and with other faculties, universities, and corporations. The role of computer science within these projects is to develop the basic methods of the discipline in strategic areas and to collaborate in depth with other disciplines.

The sub-programmes within the Master’s programme cover a considerable part of the strategic focus areas of computer science research at the University of Helsinki: algorithms, data analysis and machine learning, networking and services, software systems, bioinformatics, and data science.

Computer science is part of three Finnish Academy centres of excellence: for computational inference, inversion problems, and cancer genetics. These units represent the collaboration between computer science and other disciplines.

Computer science has coordinated the long-lived Algodan centre of excellence, which has been the basis for many current research groups.

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This PGCE will equip you with the range of academic, professional and vocational knowledge, understanding, skills and values necessary to become a high quality and skilled teacher of the subject. You will learn to teach all aspects of computing, including computer science, digital literacy and information technology.

The programme aims to develop reflective and analytical skills as well as providing practical experience in planning effective lessons and learning strategies, hands-on classroom experience, and opportunities to further your own subject knowledge.

You will have the opportunity to interact with the latest specialist computer science and computing software and tools in schools in order to both increase trainees’ knowledge of computer science, digital literacy and information technology, and support and enhance other aspects of teaching and learning in secondary schools.

If you are a graduate with a degree in computer science, information technology or a related subject (or if you work in an IT environment) and you are passionate about developing the technical creativity and computing skills of secondary school pupils, this PGCE in Computer Science and Information Technology is for you.

What will I study?

You will start with an extensive subject knowledge and understanding audit, to identify your main strengths and weaknesses, and enable your tutor to focus on your individual development needs.

During 12 weeks of study on campus, you will develop:

- Knowledge of essential educational theory;
- Awareness of appropriate and innovative teaching and assessment methods
- Strategies to encourage students’ practical skills development;
- Understanding of the computing curriculum, including a range of software used in schools from Key Stage 3 to post-16 qualifications;
- Ability to plan lessons effectively;
- Excellent working knowledge of the latest software tools used in schools, and the ability to assist other teaching colleagues in the use of them;
- Enhanced subject knowledge in a range of areas, including programming, computational thinking, applications and database design, multimedia, spreadsheet modelling, web authoring, desktop publishing and aspects of computer control;
- Wider awareness of your role within the teaching profession through study of professional roles and responsibilities.

How will I study?

A combination of academic and technical study, group discussion and reflection, and practical, work-based learning in the classroom will give you all the knowledge and skills you need to become a creative and innovative teacher. The programme aims to develop a reflective and critically analytical approach to education.

You will spend 26 weeks on placement in schools, colleges and other educational settings, putting your training into practice through assisting in and taking responsibility for classes, and working alongside mentors and peers to further your professional development. The focus initially is on observation and supporting teaching and learning. Your teaching timetable will increase as your training progresses and you become more confident and competent in the classroom.

How will I be assessed?

A balanced combination of coursework and observed classroom experience will be assessed against academic criteria at Level 7 and the QTS Standards. Various other tasks will enable you to show your competence in computer science and information technology, including creating an interactive teaching pack and undertaking action-based research.

Before the end of your PGCE you will need to complete a Career Entry and Development Profile (CEDP) which acts as a useful bridge between your initial teacher training programme and your Induction Year as a Newly Qualified Teacher.

Who will be teaching me?

The programme is managed and developed by a team of experienced tutors all of whom have experience of teaching in schools.

What are my career prospects?

Successful completion of this programme will allow you to gain QTS status and progress onto employment as a Newly Qualified Teacher (NQT) at secondary school level in computing.

Our proactive careers advisory service can help you to find job vacancies and offers in-depth advice on teacher job applications and interviews, to help you secure work.

Teaching is a rewarding job and there are many ways in which you could progress in your career, either in the classroom or in a leadership role.

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As an MSc by Research Computer Science student you will be guided by internationally leading researchers in the field of computer science and will carry out a large individual research project. Computer Science is at the cutting edge of modern technology, and is developing rapidly and Swansea Computer Science graduates enjoy excellent employment prospects.

Computer Science now plays a part in almost every aspect of our lives - science, engineering, the media, entertainment, travel, commerce and industry, public services and the home.

The MSc by Research Computer Science degree enables you to pursue a one year individual programme of research in the field of computer science and would normally terminate after a year. However, under appropriate circumstances, this first year of research can also be used in a progression to Year 2 of a PhD degree.

The MSc by Research programmes including Computer Science MSc by Research all have a recommended initial research training module (Science Skills & Research Methods), but otherwise has no taught element and is most suitable for you if you have an existing background in biosciences or cognate discipline and are looking to pursue a wholly research-based programme of study.

As a student of the MSc by Research Computer Science programme you will be fully integrated into one of our established research groups and participate in research activities such as seminars, workshops, laboratories, and field work.

Facilities

The Department of Computer Science is well equipped for teaching, and is continually upgrading its laboratories to ensure equipment is up-to-date – equipment is never more than three years old, and rarely more than two. Currently, our Computer Science students use three fully networked laboratories: one, running Windows; another running Linux; and a project laboratory, containing specialised equipment. These laboratories support a wide range of software, including the programming languages Java, C# and the .net framework, C, C++, Haskell and Prolog among many; integrated programme development environments such as Visual Studio and Netbeans; the widely-used Microsoft Office package; web access tools; and many special purpose software tools including graphical rendering and image manipulation tools; expert system production tools; concurrent system modelling tools; World Wide Web authoring tools; and databases.

As part of the expansion of the Department of Computer Science, we are building the Computational Foundry on our Bay Campus for computer science and mathematical science.

Research

The results of the Research Excellence Framework (REF) 2014 show that we lead Wales in the field of Computer Science and are in the UK Top 20.

We are ranked 11th in the UK for percentage of world-leading research, and 1st in Wales for research excellence. 40% of our submitted research assessed as world-leading quality (4*).

Links with Industry

Each spring, Computer Science students prepare and present a poster about their project at a project fair – usually together with a system or software demonstration. We also strongly encourage students to create CVs and business cards to take along to the fair, as businesses and employers visit to view the range of projects and make contact with the graduating students.

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