• Regent’s University London Featured Masters Courses
  • Imperial College London Featured Masters Courses
  • Xi’an Jiaotong-Liverpool University Featured Masters Courses
  • Swansea University Featured Masters Courses
  • University of York Featured Masters Courses
  • University of Edinburgh Featured Masters Courses
  • Leeds Beckett University Featured Masters Courses
King’s College London Featured Masters Courses
University of Leeds Featured Masters Courses
University of Kent Featured Masters Courses
University of Sussex Featured Masters Courses
University of Birmingham Featured Masters Courses
"computer" AND "science" …×
0 miles

Masters Degrees (Computer Science Course)

  • "computer" AND "science" AND "course" ×
  • clear all
Showing 1 to 15 of 1,503
Order by 
Leiden University offers five different specialisations in the MSc programme in Computer Science. - Bioinformatics. - Computer Science and Advanced Data Analytics. Read more
Leiden University offers five different specialisations in the MSc programme in Computer Science:

- Bioinformatics
- Computer Science and Advanced Data Analytics
- Computer Science and Science Communication and Society
- Computer Science and Science-Based Business
- Data Science: Computer Science

Visit the website: http://en.mastersinleiden.nl/programmes/computer-science/en/introduction

Course detail

Leiden University offers five different specialisations in the MSc programme in Computer Science.

Three specialisations are dedicated to the research areas of the Leiden Institute of Advanced Computer Science:

- Computer Science and Advanced Data Analytics
- Bioinformatics
- Data Science for Computer Science

The other two specialisations are more broadly oriented, and combine at least one year of the computer science curriculum with training in which specific career opportunities in science-related professions can be explored:

- Computer Science and Science-Based Business.
- Computer Science and Science Communication and Society

Reasons to Choose Computer Science in Leiden:

- The programme offers stimulating, significant and innovative research in the field of Computer Science, including recent advances in Data Analytics and Natural Computing.

- Research at the Leiden Institute of Advanced Computer Science (LIACS) has an excellent international reputation.

- The strength of the programmes is the individual approach: an individually tailored programme will be designed for each student.

- The researchers and assistants are easily accessible. Students and staff work closely together in a research-oriented environment.

- Students with an MSc in Computer Science are admissible to a PhD programme.

- It provides students with a thorough computer science background that will allow them to pursue careers in research or industrial environments.

Careers

Masters of Science in Computer Science are not only professionally trained, they also have an analytical mind and problem-solving attitude. These qualities ensure a wide variety of career opportunities.

Master of Science students in Leiden work in a multinational environment and are being prepared to operate in international settings.

How to apply: http://en.mastersinleiden.nl/arrange/admission

Funding

For information regarding funding, please visit the website: http://prospectivestudents.leiden.edu/scholarships

Read less
* Subject to validation, 2017 entry. Liverpool Hope’s MSc Computer Science is a research-informed, academically rigorous course and is designed to provide a flexible, purposeful and challenging set of coherent courses to meet scientific, industrial and employment challenges in this fast-evolving technological area. Read more
* Subject to validation, 2017 entry

Liverpool Hope’s MSc Computer Science is a research-informed, academically rigorous course and is designed to provide a flexible, purposeful and challenging set of coherent courses to meet scientific, industrial and employment challenges in this fast-evolving technological area. Graduates will have developed scientific and analytical skills which are highly valued in the computing, engineering, IT and business industries.

The course offers a mix of compulsory and elective courses, and a research dissertation, so you can focus your skill base and your potential career direction.

The course has been designed with employability in mind, whether it is within IT industry or as a function of other sectors, scientific computing and technical skills are in great demand and therefore highly valued. There are opportunities for placements and enterprise development.

Curriculum

The MSc Computer Science combines academic and practical course, consisting of eight taught courses (four compulsory and four elective) and a dissertation (final research project).

The Compulsory courses are:

· Computational Modelling and Simulation

· Algorithms

· Innovations in Computer Science

· Research Methods for Computer Science

· Dissertation for MSc Computer Science

Elective courses include:

· Embedded Systems and Robotics

· Cloud Computing and Web Services

· Mobile and Ubiquitous Computing

· Human Computer Interaction

· E-Business

Course Descriptions

· Computational Modelling and Simulation (compulsory – 15 credits): This course develops understanding and knowledge of the principles, techniques and design of computational modelling and their applications.

· Algorithms (compulsory - 15 credits): This course gives a firm grounding in the philosophy and evolution of algorithmic design and analysis for computer science, engineering and information systems.

· Innovations in Computer Science (compulsory - 15 credits): You will examine the particular research interests of Computer Science Department.

· Research Methods for Computer Science (compulsory - 15 credits): The course will expose you to the established techniques of research and enquiry that are used to extend, create and interpret knowledge in computer science

· Embedded Systems and Robotics (elective - 15 credits): This course will examine the Robotics Operating System and robotic programming languages, such as Urbi.

· Cloud Computing and Web Services (elective - 15 credits): You will study the concepts behind the idea of cloud computing and web services and gain practical knowledge of Azure, the .Net framework and C#.

· Mobile and Ubiquitous Computing (elective - 15 credits): You will examine mobile phone OSs (Android) and Windows Phone 7. You will learn how to develop software for these devices using JavaFX and C#/Silverlight.

· Human Computer Interaction (elective - 15 credits): Human computer interaction (HCI) is the study of interaction between people and computers and is the most multi-disciplinary module available in the MSc Computer Science.

·
* E-Business (elective - 15 credits): E-business encompasses, and is more than, e-commerce. You will examine e-commerce technology, such as the internet and web-based technologies.

· Dissertation for MSc Computer Science (compulsory - 60 credits): This module will allow the students to develop a Masters level research project with the support of an academic supervisor.

Read less
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

Read less
Research in Computer Science at York is carried out at the frontiers of knowledge in the discipline. This course gives you the chance to study a range of advanced topics in Computer Science, taught by researchers active in that area. Read more
Research in Computer Science at York is carried out at the frontiers of knowledge in the discipline. This course gives you the chance to study a range of advanced topics in Computer Science, taught by researchers active in that area. This means you will be learning current research results, keeping you at the forefront of these areas. You will also learn a range of theories, principles and practical methods.

The MSc in Advanced Computer Science is a full time, one year taught course, intended for students who already have a good first degree in Computer Science, and would like to develop a level of understanding and technical skill at the leading edge of Computer Science.

You can choose modules on a range of topics, including Cryptography, Functional Programming, Interactive Technologies, Natural Language Processing, Quantum Computation and Model-Driven Engineering.

Course aims
You will gain an in-depth knowledge of topics on the frontiers of Computer Science in order to engage in research or development and application of leading-edge research findings.

By undertaking an individual project, you will become a specialist in your selected area. You will be encouraged to produce research results of your own. This will prepare you to undertake a PhD in Computer Science should you wish to continue studying within the subject.

Learning outcomes
-A knowledge of several difference topics in Computer Science at an advanced level.
-An understanding of a body of research literature in Computer Science in your chosen topic, and the underlying principles and techniques of research in this area.
-An ability to engage in independent study at an advanced level, and develop skills in self-motivation and organisation.

Research Project

You will undertake your individual research project over the Summer term and Summer vacation. This will be a culmination of the taught modules you have taken during the course, which will allow you to focus on a specialist area of interest.

You will be allocated a personal supervisor, who will be an expert in your chosen area of research. You will be hosted by the research group of your supervisor, and you will benefit from the knowledge and resources of the whole group. Being attached to a research group also allows you to take part in their informal research seminars, and receive feedback and help from other members of the group.

You can choose from projects suggested by members of our academic staff. You also have the option of formulating your own project proposal, with the assistance from your personal supervisor.

All project proposals are rigorously vetted and must meet a number of requirements before these are made available to the students. The department uses an automated project allocation system for assigning projects to students that takes into account supervisor and student preferences.

The project aims to give you an introduction to independent research, as well as giving you the context of a research group working on topics that will be allied to your own. You will develop the skills and understanding in the methods and techniques of research in Computer Science.

As part of the assessment of the project, as well as your dissertation, you will give a talk about your work and submit a concise paper which we will encourage you to publish.

Information for Students

The MSc in Advanced Computer Science exposes you to several topics in Computer Science that are under active research at York. The material taught is preparatory to helping to continue that research, and perhaps continuing to a PhD. What we require from you are enthusiasm, hard work and enough background knowledge to take your chosen modules.

The modules on the MSc in Advanced Computer Science are mostly shared with our Stage 4 (Masters level) undergraduates. Your technical background will be different, and we acknowledge this.

During August we will send entrants a document describing the background knowledge needed for each module and, in many cases, references to where this knowledge is available (for example, widely available text books and web pages).

More generally, many of the modules expect a high level of mathematical sophistication. While the kind of mathematics used varies from module to module, you will find it useful to revise discrete mathematics (predicate and propositional calculi, set theory, relational and functional calculi, and some knowledge of formal logic), statistics and formal language theory. You should also be able to follow and produce proofs.

Careers

Here at York, we're really proud of the fact that more than 97% of our postgraduate students go on to employment or further study within six months of graduating from York. We think the reason for this is that our courses prepare our students for life in the workplace through our collaboration with industry to ensure that what we are teaching is useful for employers.

Read less
The Department of Computer Science at Binghamton University aims to provide all graduates with a strong foundation in computer science while also offering the opportunity to pursue specific interests within computer science and/or interests in other disciplines. Read more
The Department of Computer Science at Binghamton University aims to provide all graduates with a strong foundation in computer science while also offering the opportunity to pursue specific interests within computer science and/or interests in other disciplines. The program provides students with an understanding of the theory and practice of automating the representation, storage and processing of information, while emphasizing experimental research to design and engineer a wide variety of computer and information systems.

The Master of Science in Computer Science (MSCS) is intended for students with a strong background in computer science and a desire to prepare for research studies or professional practice. If you have bachelor's degree in computer science or a related field, you're invited to apply for admission to our MSCS program.

The doctoral program leads to a PhD in Computer Science. Students admitted into the program typically have a master's degree in computer science or a closely related discipline. Students with a bachelor's degree and a strong academic record may also be directly admitted.

Recent doctoral graduates have gone on to careers in as software engineering at Intel, eBay, Cisco Systems, positions at Hewlett Packard, Microsoft, Twitter, Bloomberg, the Air Force Research Lab, and the U.S. Census. Academic placements include assistant professorships at California State University at Fullerton, Valdosta State University, and Harran University, Turkey.

The Master's program leads to a Master of Science in Computer Science. It is intended for students with a strong background in computer science and a desire to prepare for research studies or professional practice. Holders of the baccalaureate degree in computer science or a related field are invited to apply for admission to the MSCS program. Students whose undergraduate degree is not in computer science may be required to complete some preparatory work in addition to fulfilling the requirements listed below.
Program requirements include four core courses taken over the first two semesters of study. These courses are Computer Organization and Architecture, Operating Systems, Programming Languages and Design & Analysis of Computer Algorithms. Three graduating options are offered: a thesis option, a project option and a comprehensive exam. Beyond the 4 core courses, these options require students to complete 4, 5 and 6 elective courses, respectively, chosen from a broad set of courses offered by the Department.

Applicant Qualifications

- Undergraduate major in computer science or related field desirable for admission
- Applicants are additionally expected to have completed coursework in the following areas:
*Algorithms and data structures
*Computer organization and architecture
*Operating systems
*Programming languages
*Discrete mathematics

All applicants must submit the following:

- Online graduate degree application and application fee
- Transcripts from each college/university you have attended
- Two letters of recommendation (three letters of recommendation for PhD applicants)
- Personal statement (2-3 pages) describing your reasons for pursuing graduate study, your career aspirations, your special interests within your field, and any unusual features of your background that might need explanation or be of interest to your program's admissions committee.
- Resume or Curriculum Vitae (max. 2 pages)
- Official GRE scores

And, for international applicants:
- International Student Financial Statement form
- Official bank statement/proof of support
- Official TOEFL, IELTS, or PTE Academic scores

Read less
This is a Postgraduate Certificate of Education (PGCE) course, also known as Postgraduate Certificate (PG Cert). Read more

About the Course

This is a Postgraduate Certificate of Education (PGCE) course, also known as Postgraduate Certificate (PG Cert).

If you are a graduate who would like to motivate and develop children’s computing/IT knowledge and skills and inspire them towards computing/computer science qualifications/career paths, then becoming a Computing/Computer Science teacher is an exciting and rewarding career option.

The Importance of Computing education

Computing education according to the new Computing Programme of Study (DfE, 2013) should enable pupils to: understand and change the world through computational thinking; think logically and with precision and apply underlying principles to understand real-world systems.

It should in general provide a broad understanding of both natural and artificial systems and forge substantial links with the teaching of other curricular subjects such as mathematics, design and technology. Furthermore, it should enable pupils to become digitally literate-so that they are able to use and express themselves through information and communication technology.

Therefore it is both a challenging and exciting time to be able to enthuse and teach pupils about information and computation principles; designing and programming digital systems and the use of IT to create products and solutions.

Our approach

The PGCE Secondary Computer Science and Information and Communications Technology (CS-ICT) Course at Brunel University London, draws on outstanding expertise and experience in Education to build upon your commitment to the teaching profession and the subject area. In a combined effort with our partnership schools we prepare you to teach computing, i.e. computer science, digital literacy and information technology to pupils in secondary school.

We support you in developing skills in planning lessons, adopting and implementing learning and behaviour management strategies, in order that you become an effective Computing/IT classroom teacher. We also encourage critical thinking, exploration and discussions about the new Computing curriculum, its implementation and adoption in schools; the teaching of computing and the challenges and opportunities it presents.

There is also a strong emphasis on collaborative learning/work in the course i.e. students are encouraged to work together and learn from each other.

We promote the use of paired placements to enhance the experience for student teachers, wherever possible. In addition these collaborative skills are developed further and extended through cross-curricular workshops/tasks with other subject-students on the PGCE course and other subject-teachers in schools. In doing so, we work actively to seek ways of promoting the integration and use of ICT across the curriculum.

During the course you will be provided the opportunity to teach in two placement schools enabling you to gain experiences of teaching Computing/IT at Key Stage 3 and 4 and for qualifications at post-sixteen. While the university-based study will consist of seminars, workshops, lectures, demonstrations, peer-led sessions and research activities.

Funding

Please follow this link https://www.getintoteaching.education.gov.uk/bursaries-and-funding

Aims

The course will enable you to:

-Demonstrate an understanding of the vital role of the teacher and the school in ensuring excellence in the educational experiences of young people
-Undertake professional practice which enables you to evidence the Teachers’ Standards which facilitate the award of Qualified Teacher Status
-Understand the relationships between Education and Computing/ICT Education within current national and government frameworks, and critically reflect on the impact of these in the work of schools and the educational experiences of young people
-Recognise the contribution that Computing/ICT as part of the whole school curriculum makes to the development of the individual learner and groups of learners
-Apply a thorough knowledge and understanding of the Computing National Curriculum to the planning of curriculum experiences for pupils in school
-Demonstrate competence and confidence in your ability to teach across the contexts for pupil learning in the Computing National Curriculum range and content, applying principles of continuity and progression
-Use subject knowledge and relevant course specifications to plan and deliver the 14-16 curriculum including examination and vocational courses
-Demonstrate an understanding of the subject knowledge and specification requirements for the 16-19 curriculum
-Utilise a range of teaching strategies to meet the identified learning needs of a wide range of pupils
-Consider the integration of information and communication technology, to enhance pupil learning across the curriculum
-Understand the importance of safe practice and safeguarding and apply these in working with young people both within and beyond lessons - in particular the importance and implications of e-safety
-Use a wide range of class management strategies to maximise pupil learning
-Understand the principles of inclusion and apply these to ensure equality of opportunity for all pupils in the subject area
-Understand national frameworks for assessment within the subject area and use these to support the recording and analysis of data, and the subsequent use of this to plan the next phase of learning
-Raise the status of the subject area by demonstrating high standards of professionalism at all times
-Understand the crucial role of professional learning for the teacher, the pupils and schools.

Course Content

The course is organised in termly blocks which address both Education Studies and Computer Science and ICT Subject Studies, the understanding of which is developed as the year progresses.

Throughout the course, theory and practice are integrated across all contexts within the partnership. The course is planned and delivered in partnership with Computer Science and ICT colleagues in local schools. The Teachers’ Standards are mapped to every aspect of course provision to facilitate the best possible opportunities to support the process of your professional learning.

In order to support your preparation for the course there are pre-course conditions set for every successful applicant to the course. This includes initial school experience tasks which require you to spend time in both primary and secondary schools.

School Experience
The course also comprises three blocks of school experience, providing the opportunity to work in diverse and contrasting settings, to support you working towards meeting the Teachers’ Standards. School experience, organised in different ways, takes place in partnership schools selected for the quality of teaching and learning and the support offered to student teachers by experienced subject mentors.
Disclosure and Barring Service (DBS) requirement
This course involves regular access to children and/or vulnerable adults. Where this is the case, students will be required to complete a Disclosure and Barring Service (DBS) application, previously known as a Criminal Records Bureau (CRB) check. The application will incur a cost, subject to change, and the University will send further instructions as part of the admissions process. For further guidance please email .

Read more about the structure of postgraduate degrees at Brunel and what you will learn on the course:
http://www.brunel.ac.uk/courses/pg/postgraduate-taught-course-information/taught-programme-structure
http://www.brunel.ac.uk/__data/assets/pdf_file/0020/423902/PGCert-Secondary-Education-with-QTS.pdf

For more information on the Special Features of the course and Teaching and Assesment, please visit this link http://www.brunel.ac.uk/courses/postgraduate/pgce-information-and-communication-technology-secondary

Read less
One of a range of degrees from the taught Masters Programme at the School of Computer Science our course is especially designed for graduates of numerate subjects other than computer science. Read more
One of a range of degrees from the taught Masters Programme at the School of Computer Science our course is especially designed for graduates of numerate subjects other than computer science. It is mostly taught separately from the other courses. It intensively covers a broad range of the key principles and techniques of computer science.

About the course

There is an emphasis on software development, in particular when applied to solving problems in other disciplines. Depending on the modules chosen, it can lead to a career in areas such as systems development, IT management, or the deployment of advanced applications in specific disciplines.

Why choose this course?

-This MSc is available with an optional one year industry placement. The 'with placement' programmes give you additional industrial experience by applying the skills you have learned throughout your studies
-A flexible course, part of our postgraduate master's programme in Computer Science, with two different routes
-Our course is especially designed for graduates of numerate subjects other than computer science
-Taught by a highly-regarded and long-established computer science department with strong links to business
-Half the research outputs in Computer Science at the University of Hertfordshire have been rated as world-leading or internationally excellent in the Research Excellence Framework (REF) 2014

Careers

Our masters programme is designed to give Computer Science graduates the specialist, up-to-date skills and knowledge sought after by employers, whether in business, industry, government or research. This particular course will prepare you for a career such as a software engineer, developer or project manager.

Teaching methods

Classes consist of lectures, small group seminars, and practical work in our well-equipped laboratories. We use modern, industry-standard software wherever possible. There are specialist facilities for networking and multimedia and a project laboratory especially for masters students. In addition to scheduled classes, you will be expected a significant amount of time in self-study, taking advantage of the extensive and up-to-date facilities. These include the Learning Resource Centres, open 24x7, with 1,500 computer workstations and wifi access, Studynet our versatile online study environment usable on and off campus, and open access to our labs.

Work Placement

This MSc is available with an optional one year industry placement. The 'with placement' programmes give you additional industrial experience by applying the skills you have learned throughout your studies.

This offers you the opportunity to work for one year in a highly professional and stimulating environment. You will be a full time employee in a company earning a salary and will learn new skills that can't be taught at University. During the placement, you will be able to gain further insight into industrial practice that you can take forward into your individual project.

We will provide excellent academic and personal support during both your academic and placement periods together with comprehensive careers guidance from our very experienced dedicated Careers and Placements Service.

Although the responsibility for finding a placement is with you, our Careers and Placements Service maintains a wide variety of employers who offer placement opportunities and organise special training sessions to help you secure a placement, from job application to the interview. Optional one-to-one consultations are also available.

In order to qualify for the placement period you must maintain an overall average pass mark of not less than 60% across all modules studied in semester ‘A’.

Structure

Year 1
Core Modules
-Computer Architectures
-Computer Science Masters Project
-Operating Systems and Networks
-Preparation for Placement
-Professional Issues
-Professional Work Placement for MSc Computer Science
-Programming and Program Design
-Software Development Exercise
-Systems Modelling

Year 2
Core Modules
-Computer Science Masters Project

Read less
The MSc in Computer Science is for graduates from a different discipline interested in a career in computer science. Computing underpins much of our professional and personal lives. Read more
The MSc in Computer Science is for graduates from a different discipline interested in a career in computer science.

Why study computer science with us?

Computing underpins much of our professional and personal lives. There is a growing need for individuals trained in one discipline who are also skilled in computer science.

If you are a graduate with a non-computing first degree then our MSc will:

- provide you with a sound foundation in practical and theoretical aspects of computer science
- help you change career, with skills desirable to a huge number of industries
- enhance your employability with transferable skills
- prepare you for PhD study

No prior background in computer science is necessary.

What will I learn?

Semester one offers a broad overview of computer science through a series of core units.

Semester two focusses on advanced and emerging areas of computer science. You will have the opportunity to specialise in one or more areas of the discipline.

The final semester is for your dissertation. You will:

- demonstrate the knowledge, skills and reflective insights you have have gained
- apply them to the investigation and/or development of new software systems.

Visit the Department of Computer Science (http://www.bath.ac.uk/comp-sci/) for further information on the department.

Visit the website http://www.bath.ac.uk/science/graduate-school/taught-programmes/msc-computer-science/index.html

Programme structure

The programme covers three semesters.

In the first semester we immerse students in the practical and theoretical foundations of the discipline.

In the second semester we build upon these foundations allowing students to specialise in one or more areas of the discipline.

The third semester is dedicated to a dissertation. Students combine their acquired knowledge to produce a novel software element or conduct novel research and critique their achievements. Please visit our research pages for a an overview of our research (http://www.bath.ac.uk/comp-sci/research/).

Career opportunities

Opportunities are extensive and we expect our graduates to move into computing careers in the leading:
- computer companies
- IT consultancy firms
- banks
- companies
- agencies
- educational establishments

About the department

The new Department of Computer Science began life in August 2001, emerging from the Computing Group of the Department of Mathematical Sciences. It is a research-led department with a strong record in interdisciplinary research and postgraduate teaching.

MSc
Our Masters programmes are designed to give you a wide range of knowledge so that you can build a career in the fast-moving industry of computing. The programmes are taught by recognised experts in each field, offering you, the student, a cutting-edge experience and a qualification which is both academic and commercially relevant. You will be exposed to the latest science and technology in your chosen specialist area, to complement previously-gained knowledge and skills from your undergraduate degree.

MPhil/PhD
The Department supports a strategic range of computer science research at PhD level and beyond. Our main research interests include Human Computer Interaction, Visual Computing, Mathematical Foundations, and Intelligent Systems. Research is pursued both in fundamental theoretical development and a range of application areas.

EngD in Digital Media
The Engineering Doctorate (EngD) in Digital Media is an alternative to the traditional PhD for students who want a career in industry. A four-year programme combines PhD-level research projects with taught courses, and students spend about 75% of their time working directly with a company.

Facilities and equipment
LAN and WAN, state-of-the-art HCI laboratory, audio laboratory.

International and industrial links
The Department has active collaborations with academics in leading universities in Europe, Australasia, the USA and Japan. Strong links with industry, e.g. HP labs, Airbus, Qinetiq, Westland, Toshiba and Vodafone.

Careers information
High employment records for undergraduate and postgraduate students. Good links with employers

Find out more about the department here - http://www.bath.ac.uk/comp-sci/

Find out how to apply here - http://www.bath.ac.uk/science/graduate-school/taught-programmes/how-to-apply/

Read less
Computer Science Departmental degree requirements for the master’s degree, which are in addition to those established by the College of Engineering and the Graduate School (http://graduate.ua.edu/), are as follows for Plan I and Plan II students. Read more
Computer Science Departmental degree requirements for the master’s degree, which are in addition to those established by the College of Engineering and the Graduate School (http://graduate.ua.edu/), are as follows for Plan I and Plan II students.

- Master of Science–Thesis Option (http://cs.ua.edu/graduate/ms-program/#thesis)
- Master of Science–Non-Thesis Option (http://cs.ua.edu/graduate/ms-program/#nonthesis)
- Timetable for the Submission of Graduate School Forms for an MS Degree (http://cs.ua.edu/graduate/ms-program/#timetable)

Visit the website http://cs.ua.edu/graduate/ms-program/

MASTER OF SCIENCE–THESIS OPTION (PLAN I):

30 CREDIT HOURS
Each candidate must earn a minimum of 24 semester hours of credit for coursework, plus a 6-hour thesis under the direction of a faculty member. Unlike the general College of Engineering requirements, graduate credit may not be obtained for courses at the 400-level.

Degree Requirements Effective Fall 2011

Credit Hours
The student must successfully complete 30 total credit hours, as follows:

- 24 hours of CS graduate-level course work

- 6 hours of CS 599 Master’s Thesis Research: Thesis Research.

- Completion of at least one 500-level or 600-level course in each of the four core areas (applications, software, systems and theory). These courses must be taken within the department and selected from the following:
Applications: CS 528, CS 535, CS 557, CS 560, CS 609, CS 615
Software: CS 503, CS 507, CS 515, CS 516, CS 534, CS 600, CS 603, CS 607, CS 614, CS 630
Systems: CS 526, CS 538, CS 567, CS 606, CS 613, CS 618
Theory: CS 500, CS 570, CS 575, CS 601, CS 602, CS 612

- No more than 12 hours from CS 511, CS 512, CS 591, CS 592, CS 691, CS 692 and non-CS courses may be counted towards the coursework requirements for the master’s degree. Courses taken outside of CS are subject to the approval of the student’s advisor.

- Additional Requirements -

- The student will select a thesis advisor and a thesis committee. The committee must contain at least four members, including the thesis advisor. At least two members are faculty of the Computer Science department, and at least one member must be from outside the Department of Computer Science.

- The student will develop a written research proposal. This should contain an introduction to the research area, a review of relevant literature in the area, a description of problems to be investigated, an identification of basic goals and objectives of the research, a methodology and timetable for approaching the research, and an extensive bibliography.

- The student will deliver an oral presentation of the research proposal, which is followed by a question-and-answer session that is open to all faculty members and which covers topics related directly or indirectly to the research area. The student’s committee will determine whether the proposal is acceptable based upon both the written and oral presentations.

- The student will develop a written thesis that demonstrates that the student has performed original research that makes a definite contribution to current knowledge. Its format and content must be acceptable to both the student’s committee and the Graduate School.

- The student will defend the written thesis. The defense includes an oral presentation of the thesis research, followed by a question-and-answer session. The student’s committee will determine whether the defense is acceptable.

- The student will complete an oral comprehensive exam. This exam is scheduled with the Department Head prior to the semester in which the student intends to graduate.

- Other requirements may be specified by the Graduate School (http://graduate.ua.edu/) and by the College of Engineering.

Degree Requirements Prior to Fall 2011

Credit hours

The student must successfully complete 30 total credit hours, as follows:

- 6 hours of CS 599 Master’s Thesis Research

- 24 hours of CS graduate-level course work with a grade of A or B, including the following courses completed at The University of Alabama:
At least 3 hours of theory courses (CS 500 Discrete math, CS 601 Algorithms, CS 602 Formal languages, CS 612 Data structures)

At least 3 hours of software courses (CS 600 Software engineering, CS 603 Programming languages, CS 607 Human-computer interaction, CS 614 Compilers, CS630 Empirical Software Engineering)

At least 3 hours of systems courses (CS 567 Computer architecture, CS 606 Operating systems, CS 613 Networks, CS 618 Wireless networks)

At least 3 hours of applications courses (CS 535 Graphics, CS 560 or 591 Robotics, CS 591 Security, CS 609 Databases)

- Additional Requirements -

- The student will select a thesis advisor and a thesis committee. The committee must contain at least four members, including the thesis advisor. At least two members are faculty of the Computer Science department, and at least one member must be from outside the Department of Computer Science.

- The student will develop a written research proposal. This should contain an introduction to the research area, a review of relevant literature in the area, a description of problems to be investigated, an identification of basic goals and objectives of the research, a methodology and timetable for approaching the research, and an extensive bibliography.

- The student will deliver an oral presentation of the research proposal, which is followed by a question-and-answer session that is open to all faculty members and which covers topics related directly or indirectly to the research area. The student’s committee will determine whether the proposal is acceptable based upon both the written and oral presentations.

- The student will develop a written thesis that demonstrates that the student has performed original research that makes a definite contribution to current knowledge. Its format and content must be acceptable to both the student’s committee and the Graduate School.

- The student will defend the written thesis. The defense includes an oral presentation of the thesis research, followed by a question-and-answer session. The student’s committee will determine whether the defense is acceptable.

- The student will complete an oral comprehensive exam. This exam is scheduled with the Department Head prior to the semester in which the student intends to graduate.

- Other requirements may be specified by the Graduate School (http://graduate.ua.edu/) and by the College of Engineering.

MASTER OF SCIENCE–NON-THESIS OPTION (PLAN II):

30 CREDIT HOURS
Each candidate must earn a minimum of 30 semester hours of credit for coursework, which may include a 3-hour non-thesis project under the direction of a faculty member. Unlike the general College of Engineering requirements, graduate credit may not be obtained for courses at the 400-level.

Degree Requirements Effective Fall 2011

The student must successfully complete 30 total credit hours, as follows:

- Completion of at least one 500-level or 600-level course in each of the four core areas (applications, software, systems and theory).
Applications: CS 528, CS 535, CS 557, CS 560, CS 609, CS 615
Software: CS 503, CS 507, CS 515, CS 516, CS 534, CS 600, CS 603, CS 607, CS 614, CS 630
Systems: CS 526, CS 538, CS 567, CS 606, CS 613, CS 618
Theory: CS 500, CS 570, CS 575, CS 601, CS 602, CS 612

- No more than 12 hours from CS 511, CS 512, CS 591, CS 592, CS 691, CS 692 and non-CS courses may be counted towards the coursework requirements for the master’s degree. Courses taken outside of CS are subject to the approval of the student’s advisor.

- The student may elect to replace 3 hours of course work with 3 hours of CS 598 Research Not Related to Thesis: Non-thesis Project. This course should be proposed in writing in advance, approved by the instructor, and a copy placed in the student’s file. The proposal should specify both the course content and the specific deliverables that will be evaluated to determine the course grade.

- Additional Requirements -

- The student will complete an oral comprehensive exam. This exam is scheduled with the Department Head prior to the semester in which the student intends to graduate.

- Other requirements may be specified by the Graduate School and by the College of Engineering.

Degree Requirements Prior to Fall 2011

Credit hours

The student must successfully complete 30 total credit hours of CS graduate-level course work with a grade of A or B, as follows:

- The following courses will be completed at The University of Alabama:
At least 3 hours of theory courses (CS 500 Discrete math, CS 601 Algorithms, CS 602 Formal languages, CS 612 Data structures)

At least 3 hours of software courses (CS 600 Software engineering, CS 603 Programming languages, CS 607 Human-computer interaction, CS 614 Compilers, CS630 Empirical Software Engineering)

At least 3 hours of systems courses (CS 567 Computer architecture, CS 606 Operating systems, CS 613 Networks, CS 618 Wireless networks)

At least 3 hours of applications courses (CS 535 Graphics, CS 560 or 591 Robotics, CS 591 Security, CS 609 Databases)

- The student may elect to replace 3 hours of course work with 3 hours of CS 598 Research Not Related to Thesis: Non-thesis Project. This course should be proposed in writing in advance, approved by the instructor, and a copy placed in the student’s file. The proposal should specify both the course content and the specific deliverables that will be evaluated to determine the course grade.

- Additional Requirements -

- The student will complete an oral comprehensive exam. This exam is scheduled with the Department Head prior to the semester in which the student intends to graduate.

- Other requirements may be specified by the Graduate School and by the College of Engineering.

TIMETABLE FOR THE SUBMISSION OF GRADUATE SCHOOL FORMS FOR AN MS DEGREE
This document identifies a timetable for the submission of all Graduate School paperwork associated with the completion of an M.S. degree

- For students in Plan I students only (thesis option) after a successful thesis proposal defense, you should submit the Appointment/Change of a Masters Thesis Committee form

- The semester before, or no later than the first week in the semester in which you plan to graduate, you should “Apply for Graduation” online in myBama.

- In the semester in which you apply for graduation, the Graduate Program Director will contact you about the Comprehensive Exam.

Find out how to apply here - http://graduate.ua.edu/prospects/application/

Read less
The computer science program is designed for students who have an undergraduate degree (or minor) in computer science, as well as those who have a strong background in a field in which computers are applied, such as engineering, science, or business. Read more

Program overview

The computer science program is designed for students who have an undergraduate degree (or minor) in computer science, as well as those who have a strong background in a field in which computers are applied, such as engineering, science, or business.

The degree is offered on a full- or part-time basis. Courses are generally offered in the afternoons and evenings to accommodate part-time students. Full-time students take three or four courses per semester and may be able to complete the course work in three semesters. Full-time students who are required to take additional bridge courses may be able to complete the course work in four semesters. Part-time students take one or two courses per semester and may be able to complete the course work in four to five semesters. The time required to complete a master's project is one semester, but can vary according to the student and the scope of the topic. Two semesters is typical.

Plan of study

The program consists of 30 credit hours of course work, which includes either a thesis or a project. Students complete one core course, three courses in a cluster, four electives, and a thesis. For those choosing to complete a project in place of a thesis, students complete one additional elective.

Clusters

Students select three cluster courses from the following areas (see website for individual area information):
-Computer graphics and visualization
-Data management
-Distributed systems
-Intelligent systems
-Languages and tools
-Security
-Theory

Electives

Electives provide breadth of experience in computer science and applications areas. Students who wish to include courses from departments outside of computer science need prior approval from the graduate program director. Refer to the course descriptions in the departments of computer science, engineering, mathematical sciences, and imaging science for possible elective courses.

Master's thesis/project

Students may choose the thesis or project option as the capstone to the program. Students who choose the project option must register for the Project course (CSCI-788). Students participate in required in-class presentations that are critiqued. A summary project report and public presentation of the student's project (in poster form) occurs at the end of the semester.

Curriculum

Thesis/project options differ in course sequence, see the website for a particular option's modules and a particular cluster's modules.

Other admission requirements

-Submit official transcripts (in English) of all previously completed undergraduate and graduate course work.
-Submit scores from the Graduate Record Exam.
-Have a minimum grade point average of 3.0 (B), and complete a graduate application.
-International applicants, whose native language is not English, must submit scores from the Test of English as a Foreign Language. A minimum score of 570 (paper-based) or 88 (Internet-based) is required.
-Applicants must satisfy prerequisite requirements in mathematics (differential and integral calculus, probability and statistics, discrete mathematics, and computer science theory) and computing (experience with a modern high-level language [e.g., C++, Java], data structures, software design methodology, introductory computer architecture, operating systems, and programming language concepts).

Additional information

Bridge courses:
If an applicant lacks any prerequisites, bridge courses may be recommended to provide students with the required knowledge and skills needed for the program. If any bridge courses are indicated in a student's plan of study, the student may be admitted to the program on the condition that they successfully complete the recommended bridge courses with a grade of B (3.0) or better (courses with lower grades must be repeated). Generally, formal acceptance into the program is deferred until the applicant has made significant progress in this additional course work. Bridge program courses are not counted as part of the 30 credit hours required for the master's degree. During orientation, bridge exams are conducted. These exams are the equivalent to the finals of the bridge courses. Bridge courses will be waived if the exams are passed.

Faculty:
Faculty members in the department are actively engaged in research in the areas of artificial intelligence, computer networking, pattern recognition, computer vision, graphics, visualization, data management, theory, and distributed computing systems. There are many opportunities for graduate students to participate in these activities toward thesis or project work and independent study.

Facilities:
The computer science department provides extensive facilities that represent current technology, including:
-A graduate lab with more than 15 Mac’s and a graduate library.
-Specialized labs in graphics, computer vision, pattern recognition, security, database, and robotics.
-Six general purpose computing labs with more than 100 workstations running Linux, Windows, and OS X; plus campus-wide wireless access.

Maximum time limit:
University policy requires that graduate programs be completed within seven years of the student's initial registration for courses in the program. Bridge courses are excluded.

Read less
With a master’s degree in Web Science you will be able to study and solve problems on the web. Our interdisciplinary curriculum emphasises computer science and builds bridges to social sciences, economics, studies of the law, linguistics and mathematics. Read more

About the Program

With a master’s degree in Web Science you will be able to study and solve problems on the web. Our interdisciplinary curriculum emphasises computer science and builds bridges to social sciences, economics, studies of the law, linguistics and mathematics. All mandatory courses are taught in English.

In general, our programme aims at people with a bachelor’s degree or a minor in computer science. Our programme even is free of tuition. The medium of instruction is English.

More information under: http://west.uni-koblenz.de/en/mws

Employment Outlook

Graduates from the institute WeST have found interesting positions at successful companies, started their own businesses or continued towards a Ph.D. Institute WeST has a limited number of places available each year for pursueing a Ph.D. If you excel earning a master's degree in Web Science you will be in pole position for continuing with doctoral studies.

Studying in Koblenz

Koblenz is one of the oldest and most attractive cities in Germany with its surroundings honoured as UNESCO World Cultural Heritage. The university of Koblenz-Landau has close contacts to leading companies, offering possibilities for internships, collaboration and project experiences.

Program Structure

Our interdisciplinary curriculum emphasises computer science and builds bridges to social sciences, economics, law, linguistics and mathematics. All mandatory courses are taught in English.

The curriculum is organized in seven module groups:

Foundations of Web Science (two modules) establishes the main idea of Web Science. It provides an interdisciplinary primary view of the web and of more abstract web structures.

The Computer Science track (three modules) teaches the essential technical aspects, namely web engineering, semantic web and web retrieval.

Web and Society (two out of four modules) considers interaction of the web and different user groups: citizens, customers, entrepreneurs, and interest groups.

The module group Elective Courses in Computer Science provides a wide range of technical topics. Modules may be choosen freely from all Master courses in computer science with relevance to the web given at the University of Koblenz-Landau (three modules or more, mininum 18 ECTS).

Elective Interdisciplinary Courses contain web-related modules offered by our university from other disciplines (such as economy, social sciences, linguistics, anthropology, communication theory etc.). Students have to freely elect at least two modules (12 ECTS).

Topics for seminars and research lab can be freely chosen from Web Science subjects. Furthermore, this module group contains a social skills and leadership training..

The topic of the master's thesis can also be freely chosen from any Web Science subjects.

More information about the curriculum can also be found under: http://west.uni-koblenz.de/en/mws/curriculum

Requirements

Higher Education Entrance Qualification -

It is a legal requirement in Germany that students own a Higher education entrance qualification („Hochschulzugangsberechtigung“) respectively a Master entrance qualification („Masterzugangsberechtigung“), proven by school leaving certificates or studies completed at secondary education level.

Entrance qualification is not checked by us, but uni-assist (see application process), therefore please refrain from asking us if your diploma will be accepted. Uni-assist provides some further information on higher education entrance qualification.

Academic Background in Computer Science -

You need some academic background in computer science, such as a

bachelor's degree in computer science, business informatics, Computervisualistik (as offered by the University of Koblenz-Landau), Information management (as offered by the University of Koblenz-Landau until 2012 if 60 ECTS in computer science were acquired) or similar.

Students with a minor in computer science (at least 60 European Credit Points) can apply, too. Here we have to make a decision on a by-case-basis. To get an educated guess please contact the course guidance.

Only diplomas of international accredited universities will be accepted. If you are unshure if your academic background fulfils our requirements, do not hesitate to contact us: . Non-academic, practical experience in computer science alone does not qualify you for our programme.

Sufficient Grades in Previous Studies -

The German grading system ranges from 1 ("very good") to 6 ("insufficient"). Lower numbers mean better grades. To be eligible for our programme, the grades from your previous studies must be between 1 and 2.5. Grade conversion into the German system is done by uni-assist (cf. application procedure), so we cannot tell you if your GPA fis sufficient. For a first, non-binding estimation on your eligibility you might want to check the calculator provided by the University of Paderborn.

English Language Proficiency -

The medium of instruction for all required courses is English, some additional electives can be taken in German. Thus, we require a certain level of English proficiency such that studies can be undertaken successfully. Thus, a standardised language certificate is required – proof that your previous studies were held in English are not sufficient and not negiotiable. We accept three types of language proficiency certificates:

a TOEFL result of at least 79 (internet based), 550 (paper based) or 213 (computer based)

IELTS test with 6.5 points mininum

Cambridge certificate at level B2 or higher (find an exam center)

Proficiency of German language is not a requirement for application. However, additional elective courses are available in German, and we recommend to learn some basic German for daily life. Some hints on learning German can be found at Deutsche Welle.

Motivational Letter -

Applicants need to supply a motivational letter. Please do not send lenghty standard letters describing your general interest in computer science and your appreciation of the German education system. Instead, refer only to our specific programme and follow these guidelines:

Length should be between 150 and 300 words.

The letter must be written in English.

Specify what you learnt and found particularly interesting in your previous studies or practical experiences. Tell us how you want to deepen these previous experience in our master's programme. You can also describe what you expect to learn here for your future job. You should always refer to our curriculum, especially the module groups Foundations of Web Science, Major Subject Computer Science und Major Subject Web and Society. Make clear that you know our curriculum and point out why you have chosen our programme above others.

Further information under: http://west.uni-koblenz.de/en/mws/requirements

Read less
This is a Postgraduate Certificate of Education (PGCE) course, also known as Postgraduate Certificate (PG Cert). As a qualified science teacher you may be required to teach National Curriculum general science to Key Stage 4, as well as your particular specialism to 'A' level and beyond. Read more

About the Course

This is a Postgraduate Certificate of Education (PGCE) course, also known as Postgraduate Certificate (PG Cert).

As a qualified science teacher you may be required to teach National Curriculum general science to Key Stage 4, as well as your particular specialism to 'A' level and beyond. To this end, the course aims to facilitate your transformation into a well-educated, well-trained, confident and motivated science educator.

Along with English and mathematics, science is one of the three compulsory subjects of the National Curriculum and since all pupils have to study a broad, balanced curriculum in science there is a demand for well-qualified and skilled science teachers. Most pupils entering secondary school are excited at the prospect of work, for the first time in a fully equipped laboratory, and secondary school science teachers have to build upon and sustain this interest for the subject.

To meet this challenge we need capable, skilled and enthusiastic teachers who are able to motivate young people and lead them to discover the wonders of science.

Aims

The Brunel Science Postgraduate Certificate (PGCE) is a M-level course with 60 credits that can contribute to further Master's level study in Education, subject to approval.

The course will equip you with the knowledge, understanding and skills necessary to teach science and the ability to:

-Demonstrate an understanding of the vital role of the teacher and the school in ensuring excellence in the educational experiences of young people
-Undertake professional practice which enables you to evidence the Teachers’ Standards which facilitate the award of Qualified Teacher Status
-Understand the relationships between Education and science within current national and government frameworks, and critically reflect on the impact of these in the work of schools and the educational experiences of young people
-Recognise the contribution that science as part of the whole school curriculum makes to the development of the individual learner and groups of learners
-Think critically about what it means to be scientifically educated and how this informs curriculum planning and design within the subject area
-Apply a thorough knowledge and understanding of science (Physics) National Curriculum to the planning of curriculum experiences for pupils in school
-Demonstrate competence and confidence in your ability to teach across the contexts for pupil learning in the mathematics National Curriculum range and content, applying principles of continuity and progression
-Use subject knowledge and relevant course specifications to plan and deliver the 14-16 curriculum including examination and vocational courses
-Demonstrate an understanding of the subject knowledge and specification requirements for the 16-19 curriculum
-Utilise a range of teaching strategies to meet the identified learning needs of a wide range of pupils
-Utilise a range of resources, including information and communication technology, to enhance pupil learning in physics
-Understand the importance of safe practice and safeguarding and apply these in working with young people both within and beyond lessons
-Use a wide range of class management strategies to maximise pupil learning
-Understand the principles of inclusion and apply these to ensure equality of opportunity for all pupils in the subject area
-Understand national frameworks for assessment within the subject area and use these to support the recording and analysis of data, and the subsequent use of this to plan the next phase of learning
-Raise the status of the subject area by demonstrating high standards of professionalism at all times
-Understand the crucial role of professional learning for the teacher, the pupils and schools.

Funding

Please follow this link https://www.getintoteaching.education.gov.uk/

Course Content

The course runs from early September through to late June. As you commence the training, your individual subject knowledge is assessed so that targeted improvements can be made throughout the year in areas that may be lacking. As the course continues, your time is spent alternating between University and school, with increasing time being spent in school as your experience develops. By the end of the course, if school placements and written M level assignments have been completed successfully you are awarded the title PGCE with recommendation for Qualified Teacher Status (QTS).

You will spend two thirds of your time teaching in Partnership schools. These are schools where we have established links and where a number of the science teachers working in them are past Brunel students. As your school experience begins, you will be attached to a mentor whose role involves guidance and management of your professional development. You will learn from observing and working alongside experienced teachers, particularly in the process of teaching your own classes (under supervision). The course has three blocks of school experience in two different schools, providing the opportunity to work in contrasting settings, whilst working towards the Teachers’ Standards (TA, 2012).

How is the University portion of the course organised?
Campus Sessions

Campus-based work relates theory to school practice, facilitating your maturity into an effective and reflective science teacher.

Sessions involve student teachers working together in small groups, developing the thinking and attributes needed to teach effectively in the classroom or laboratory.

Although campus sessions cover a wide range of foci, there is a particular emphasis on practical work, literacy and communication, science for all and digital technologies in line with the interests of the research-active science tutors. They experienced schoolteachers and have published widely in national and international journals.

Facilities

As a Brunel PGCE student teacher you will have access to a range of teaching rooms including a new, well-equipped laboratory, a well-resourced library which includes textbook schemes, teaching packs, videos and visual aids – as well as books, journals and e-journals appropriate to work at Master's level. You will also benefit from extensive computer facilities where you can familiarise yourself with the hardware and software available in schools.

Learning Atmosphere

University tutors are available to offer advice and support throughout the course. Campus sessions have a friendly, informal atmosphere as classes gel, and you will find yourself forging lasting professional and personal relationships with other student teachers on the course.

Disclosure and Barring Service (DBS) requirement

This course involves regular access to children and/or vulnerable adults. Where this is the case, students will be required to complete a Disclosure and Barring Service (DBS) application, previously known as a Criminal Records Bureau (CRB) check. The application will cost £51.86 (this amount may be subject to change) and the University will send further instructions as part of the admissions process. For further guidance please email .

Read more about the structure of postgraduate degrees at Brunel and what you will learn on the course:
http://www.brunel.ac.uk/courses/pg/postgraduate-taught-course-information/taught-programme-structure
http://www.brunel.ac.uk/__data/assets/pdf_file/0020/423902/PGCert-Secondary-Education-with-QTS.pdf

For more information on the Special Features of the course and Teaching and Assesment, please follow this link http://www.brunel.ac.uk/courses/postgraduate/pgce-secondary-education-science-with-physics

Read less
Technologies based on the intelligent use of data are leading to great changes in our everyday life. Data Science and Engineering refers to the know-how and competence required to effectively manage and analyse the massive amount of data available in a wide range of domains. Read more
Technologies based on the intelligent use of data are leading to great changes in our everyday life. Data Science and Engineering refers to the know-how and competence required to effectively manage and analyse the massive amount of data available in a wide range of domains.

We offer a two-year Master of Science in Computer Science centered on this emerging field. The backbone of the program is constituted by three core units on advanced data management, machine learning, and high performance computing. Leveraging on the expertise of our faculty, the rest of the program is organised in four tracks, Business Intelligence, Health & Life Sciences, Pervasive Computing, and Visual Computing, each providing a solid grounding in data science and engineering as well as a firm grasp of the domain of interest.

By blending standard classes with recitations and lab sessions our program ensures that each student masters the theoretical foundations and acquires hands-on experience in each subject. In most units credit is obtained by working on a final project. Additional credit is also gained through short-term internship in the industry or in a research lab. The master thesis is worth 25% of the total credit.

TRACKS

• Business Intelligence. This track builds on first hand knowledge of business management and fundamentals of data warehousing, and focuses on data mining, graph analytics, information visualisation, and issues related to data protection and privacy.
• Health & Life Sciences. Starting from core knowledge of signal and image processing, bioinformatics and computational biology, this track covers methods for biomedical image reconstruction, computational neuroengineering, well-being technologies and data protection and privacy.
• Pervasive Computing. Security and ubiquitous computing set the scene for this track which deals with data semantics, large scale software engineering, graph analytics and data protection and privacy.
• Visual Computing. This track lays the basics of signal & image processing and of computer graphics & augmented reality, and covers human computer interaction, computational vision, data visualisation, and computer games.

PROSPECTIVE CAREER

Senior expert in Data Science and Engineering. You will be at the forefront of the high-tech job market since all big companies are investing on data driven approaches for decision making and planning. The Business Intelligence area is highly regarded by consulting companies and large enterprises, while the Health and Life Sciences track is mainly oriented toward biomedical industry and research institutes. Both the Pervasive and the Visual Computing tracks are close to the interests of software companies. For all tracks a job in a start-up company or a career on your own are always in order.

Senior computer scientist.. By personalizing your plan of study you can keep open all the highly qualified job options in software companies.

Further graduate studies.. In all cases, you will be fully qualified to pursue your graduate studies toward a PhD in Computer Science.

Read less
This is a Postgraduate Certificate of Education (PGCE) course, also known as Postgraduate Certificate (PG Cert). As a qualified science teacher you may be required to teach National Curriculum general science to Key Stage 4, as well as your particular specialism to ‘A’ level and beyond. Read more

About the Course

This is a Postgraduate Certificate of Education (PGCE) course, also known as Postgraduate Certificate (PG Cert).

As a qualified science teacher you may be required to teach National Curriculum general science to Key Stage 4, as well as your particular specialism to ‘A’ level and beyond. To this end, the course aims to facilitate your transformation into a well-educated, well-trained, confident and motivated science educator.

Along with English and mathematics, science is one of the three core subjects of the National Curriculum and since all pupils have to study a broad, balanced curriculum in science there is a demand for well-qualified and skilled science teachers. Most pupils entering secondary school are excited at the prospect of work, for the first time in a fully equipped laboratory, and secondary school science teachers have to build upon and sustain this interest for the subject.

To meet this challenge we need capable, skilled and enthusiastic teachers who are able to motivate young people and lead them to discover the wonders of science.

Aims

The Brunel Science Postgraduate Certificate (PGCE) is an M level course with 60 credits that can contribute to further Master's level study in Education, subject to approval. The course will equip you with the knowledge, understanding and skills necessary to teach science such that you are able to:

-Demonstrate an understanding of the vital role of the teacher and the school in ensuring excellence in the educational experiences of young people;
-Undertake professional practice which enables you to evidence the Teachers’ Standards which facilitate the award of Qualified Teacher Status;
-Understand the relationships between Education and science within current national and government frameworks, and critically reflect on the impact of these in the work of schools and the educational experiences of young people;
-Recognise the contribution that science as part of the whole school curriculum makes to the development of the individual learner and groups of learners;
-Think critically about what it means to be scientifically educated and how this informs curriculum planning and design within the subject area;
-Apply a thorough knowledge and understanding of the science (Biology) National Curriculum to the planning of curriculum experiences for pupils in school;
-Demonstrate competence and confidence in your ability to teach across the contexts for pupil learning in the mathematics National Curriculum range and content, applying principles of continuity and progression;
-Use subject knowledge and relevant course specifications to plan and deliver the 14-16 curriculum including examination and vocational courses;
-Demonstrate an understanding of the subject knowledge and specification requirements for the 16-19 curriculum;
-Utilise a range of teaching strategies to meet the identified learning needs of a wide range of pupils;
-Utilise a range of resources, including information and communication technology, to enhance pupil learning in biology;
-Understand the importance of safe practice and safeguarding and apply these in working with young people both within and beyond lessons;
-Use a wide range of class management strategies to maximise pupil learning;Understand the principles of inclusion and apply these to ensure equality of opportunity for all pupils in the subject area;
-Understand national frameworks for assessment within the subject area and use these to support the recording and analysis of data, and the subsequent use of this to plan the next phase of learning;
-Raise the status of the subject area by demonstrating high standards of professionalism at all times;
-Understand the crucial role of professional learning for the teacher, the pupils and schools.

Funding

Please follow this link https://www.getintoteaching.education.gov.uk/bursaries-and-funding

Course Content

The course runs from early September through to late June. As you commence the training, your individual subject knowledge is assessed so that targeted improvements can be made throughout the year in areas that may be lacking. As the course continues, your time is spent alternating between University and school, with increasing time being spent in school as your experience develops. By the end of the course, if school placements and written M level assignments have been completed successfully you are awarded the title PGCE with recommendation for Qualified Teacher Status (QTS).

You will spend two thirds of your time teaching in Partnership schools. These are schools where we have established links and where a number of the science teachers working in them are past Brunel students. As your school experience begins, you will be attached to a mentor whose role involves guidance and management of your professional development. You will learn from observing and working alongside experienced teachers, particularly in the process of teaching your own classes (under supervision). The course has three blocks of school experience in two different schools, providing the opportunity to work in contrasting settings, whilst working towards the Teachers’ Standards (TA, 2012).

How is the University portion of the course organised?
Campus-based work relates theory to school practice, facilitating your maturity into an effective and reflective science teacher. Sessions involve student teachers working together in small groups, developing the thinking and attributes needed to teach effectively in the classroom or laboratory. Although campus sessions cover a wide range of foci, there is a particular emphasis on practical work, literacy and communication, science for all and digital technologies in line with the interests of the research-active science tutors who are experienced schoolteachers and have published widely in national and international journals.

As a Brunel PGCE student teacher you will have access to a range of teaching rooms including a new, well-equipped laboratory, a well resourced library which includes textbook schemes, teaching packs, videos and visual aids – as well as books, journals and e-journals appropriate to work at Masters level – plus extensive computer facilities where you can familiarise yourself with the hardware and software available in schools.

University tutors are available to offer advice and support throughout the course. Campus sessions have a friendly, informal atmosphere as classes gel, and you will find yourself forging lasting professional and personal relationships with other student teachers on the course.

Disclosure and Barring Service (DBS) requirement

This course involves regular access to children and/or vulnerable adults. Where this is the case, students will be required to complete a Disclosure and Barring Service (DBS) application, previously known as a Criminal Records Bureau (CRB) check. The application will cost £51.86 (this amount may be subject to change) and the University will send further instructions as part of the admissions process. For further guidance please email

Read more about the structure of postgraduate degrees at Brunel:http://www.brunel.ac.uk/courses/pg/postgraduate-taught-course-information/taught-programme-structure

Read less
This is a Postgraduate Certificate of Education (PGCE) course, also known as Postgraduate Certificate (PG Cert). As a qualified science teacher you may be required to teach National Curriculum general science to Key Stage 4, as well as your particular specialism to ‘A’ level and beyond. Read more

About the Course

This is a Postgraduate Certificate of Education (PGCE) course, also known as Postgraduate Certificate (PG Cert).

As a qualified science teacher you may be required to teach National Curriculum general science to Key Stage 4, as well as your particular specialism to ‘A’ level and beyond. To this end, the course aims to facilitate your transformation into a well-educated, well-trained, confident and motivated science educator.

Along with English and mathematics, science is one of the three core subjects of the National Curriculum and since all pupils have to study a broad, balanced curriculum in science there is a demand for well-qualified and skilled science teachers. Most pupils entering secondary school are excited at the prospect of work, for the first time in a fully equipped laboratory, and secondary school science teachers have to build upon and sustain this interest for the subject.

To meet this challenge we need capable, skilled and enthusiastic teachers who are able to motivate young people and lead them to discover the wonders of science.

Aims

The Brunel Science Postgraduate Certificate (PGCE) is an M level course with 60 credits that can contribute to further Master's level study in Education, subject to approval. The course will equip you with the knowledge, understanding and skills necessary to teach science such that you are able to:

-Demonstrate an understanding of the vital role of the teacher and the school in ensuring excellence in the educational experiences of young people;
-Undertake professional practice which enables you to evidence the Teachers’ Standards which facilitate the award of Qualified Teacher Status;
-Understand the relationships between Education and science within current national and government frameworks, and critically reflect on the impact of these in the work of schools and the educational experiences of young people;
-Recognise the contribution that science as part of the whole school curriculum makes to the development of the individual learner and groups of learners;
-Think critically about what it means to be scientifically educated and how this informs curriculum planning and design within the subject area;
-Apply a thorough knowledge and understanding of the science (Chemistry) National Curriculum to the planning of curriculum experiences for pupils in school;
-Demonstrate competence and confidence in your ability to teach across the contexts for pupil learning in the mathematics National Curriculum range and content, applying principles of continuity and progression;
-Use subject knowledge and relevant course specifications to plan and deliver the 14-16 curriculum including examination and vocational courses;
-Demonstrate an understanding of the subject knowledge and specification requirements for the 16-19 curriculum;
-Utilise a range of teaching strategies to meet the identified learning needs of a wide range of pupils;
-Utilise a range of resources, including information and communication technology, to enhance pupil learning in chemistry;
-Understand the importance of safe practice and safeguarding and apply these in working with young people both within and beyond lessons;
-Use a wide range of class management strategies to maximise pupil learning;
-Understand the principles of inclusion and apply these to ensure equality of opportunity for all pupils in the subject area;
-Understand national frameworks for assessment within the subject area and use these to support the recording and analysis of data, and the subsequent use of this to plan the next phase of learning;
-Raise the status of the subject area by demonstrating high standards of professionalism at all times;
-Understand the crucial role of professional learning for the teacher, the pupils and schools.

Funding

Please follow this link https://www.getintoteaching.education.gov.uk/

Course Content

The course runs from early September through to late June. As you commence the training, your individual subject knowledge is assessed so that targeted improvements can be made throughout the year in areas that may be lacking. As the course continues, your time is spent alternating between University and school, with increasing time being spent in school as your experience develops. By the end of the course, if school placements and written M level assignments have been completed successfully you are awarded the title PGCE with recommendation for Qualified Teacher Status (QTS).

You will spend two thirds of your time teaching in Partnership schools. These are schools where we have established links and where a number of the science teachers working in them are past Brunel students. As your school experience begins, you will be attached to a mentor whose role involves guidance and management of your professional development. You will learn from observing and working alongside experienced teachers, particularly in the process of teaching your own classes (under supervision). The course has three blocks of school experience in two different schools, providing the opportunity to work in contrasting settings, whilst working towards the Teachers’ Standards (TA, 2012).

How is the University portion of the course organised?
Campus-based work relates theory to school practice, facilitating your maturity into an effective and reflective science teacher. Sessions involve student teachers working together in small groups, developing the thinking and attributes needed to teach effectively in the classroom or laboratory. Although campus sessions cover a wide range of foci, there is a particular emphasis on practical work, literacy and communication, science for all and digital technologies in line with the interests of the research-active science tutors who are experienced schoolteachers and have published widely in national and international journals.

As a Brunel PGCE student teacher you will have access to a range of teaching rooms including a new, well-equipped laboratory, a well resourced library which includes textbook schemes, teaching packs, videos and visual aids – as well as books, journals and e-journals appropriate to work at Masters level – plus extensive computer facilities where you can familiarise yourself with the hardware and software available in schools.

University tutors are available to offer advice and support throughout the course. Campus sessions have a friendly, informal atmosphere as classes gel, and you will find yourself forging lasting professional and personal relationships with other student teachers on the course.

Disclosure and Barring Service (DBS) requirement

This course involves regular access to children and/or vulnerable adults. Where this is the case, students will be required to complete a Disclosure and Barring Service (DBS) application, previously known as a Criminal Records Bureau (CRB) check. The application will cost £51.86 (this amount may be subject to change) and the University will send further instructions as part of the admissions process. For further guidance please email .

Read more about the structure of postgraduate degrees at Brunel: http://www.brunel.ac.uk/courses/pg/postgraduate-taught-course-information/taught-programme-structure

Read less

Show 10 15 30 per page


Share this page:

Cookie Policy    X