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Masters Degrees (Learning Sciences)

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Research degrees embrace the notion of preparing "Stewards of the Discipline", scholars capable of generating new knowledge, conducting research with a high degree of competence and integrity, transforming knowledge, and communicating the results to advance the field. Read more
Research degrees embrace the notion of preparing "Stewards of the Discipline", scholars capable of generating new knowledge, conducting research with a high degree of competence and integrity, transforming knowledge, and communicating the results to advance the field.

The Master of Arts (MA) is a research-intensive (thesis-based) degree intended to prepare students for further research. This program is available in the on-campus format only.

Master of Arts (MA) in Learning Sciences

As theories about knowledge change in concert with advancements in media and technology, masters' students in the Learning Sciences need to consider the cultural, social, cognitive, political, technological, and economic contexts of learning across diverse settings. The primary mission of this masters' program is to ground theory in practice in preparation of future scholars and expert practitioners in this field of study. Learning Sciences seeks to integrate the practice of education and research in education as a hands-on, minds-on discipline that emphasizes knowing and doing. This masters' program provides active learning, research and mentoring opportunities to engage students with the cognitive, socio-cultural, and technological tools in this area of study.

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Keele’s Teaching and Learning Programme (TLHEP) is a nationally accredited one-year, Masters level part-time programme that provides new teachers in higher education with skills, knowledge and a framework for continued critical engagement with the business of teaching in higher education. Read more

Overview

Keele’s Teaching and Learning Programme (TLHEP) is a nationally accredited one-year, Masters level part-time programme that provides new teachers in higher education with skills, knowledge and a framework for continued critical engagement with the business of teaching in higher education.

The programme is consistently commended for its systems, procedures and processes by external examiners, by the Higher Education Academy (HEA). The programme offers flexible provision with personal support, including the possibility of taking more than one year to complete.

MA in Learning and Teaching in Higher Education:
Keele University’s award of MA Learning and Teaching in Higher Education involves the completion of three 60-credit modules, each of which is also a stand-alone programme carrying its own award:

1) Teaching and Learning in Higher Education (TLHEP),
2) Teaching and Learning with Technology (TLwT),
3) Action Research (AR)

Together, these provide a part-time programme that meets the continuing professional development needs of teachers in higher education across disciplines. Drawing on the principles of reflective practice, each module focuses on a different aspect of the business of teaching in higher education:

- the nature of learning and teaching (TLHEP)
- the use of information and communication technology in teaching (TLwT)
- conducting research into ones own and institutional practice (AR)

See the website https://www.keele.ac.uk/pgtcourses/teachingandlearninginhighereducation/

Programme rationale and learning outcomes

The programme assumes that there is value in a range of kinds of learning and teaching. Teaching is viewed as an aspect of academic work that, just like research, demands both practical competencies and a theoretically informed and critical approach. Such an approach should comprise:
- Knowledge about how students learn

- Collegiality and collaboration

- An understanding of contexts

- Competence in a range of pedagogic skills and techniques

- A reflexive and experimental approach

- Exploration of personal and professional values

- Theoretical rationales grounded in awareness of the scholarship of learning and teaching

Candidates are encouraged to develop critical rationales for practice. That is, while teaching techniques are introduced and explored through the course, the main emphasis is on how we make professional judgments.

Thus the intended learning outcomes are:
1. Design and plan student learning activities and/or programmes of study, including the appropriate use of learning technology, to achieve the intended learning outcomes

2. Teach (i.e. support student learning) by using methods evaluated to be appropriate to the subject and the level of the academic programme, based on a critical evaluation of current understandings of how students learn, both generally and in the subject

3. Assess student work, and give feedback on it, to promote learning, consistent with institutional requirements and guidelines

4. Develop an effective and supportive learning environment, including individual guidance, in a way that respects them equally as individual, autonomous learners while recognizing and promoting the value of their diversity

5. Integrate with their teaching their scholarship, research and/or professional activities, and the implications of the ethical, quality assurance and quality enhancement contexts

6. Evaluate reflectively the effectiveness of their own practice, and continue their own professional development while contributing to a learning community of teachers

(60 Credits towards MA in Learning and Teaching in Higher Education)

Content

The course aims and learning outcomes are achieved through scholarly discussion about teaching, identifying issues and problems, drawing on a range of knowledge, skills and tools with which these can be addressed. Regular meetings and input sessions provide a forum for exchanging experiences and receiving support, and access to theoretically grounded ideas that come to underpin individuals’ critical rationales for teaching.

Session themes include lecturing, making discussions work, using technology, session planning, understanding student learning, assessment, marking and giving feedback, preventing plagiarism, evaluating your teaching, catering for diversity, internationalisation, designing modules and programmes, problem-based learning, and teaching in the natural sciences and in laboratories.

There is also a programme of practical teaching observation and support.

Teaching & Assesment

Exit points and awards:
Candidates who complete the whole programme successfully will be awarded a Keele University PG Certificate in TLHE, which gains 60 credits towards the MA LTHE and entitles you to apply for HEA Fellowship.

There is also an Associate exit point, which carries 30 level M credits and entitles you to apply for HEA Associate Fellowship. Candidates who successfully complete the Associate module can on certain conditions proceed subsequently to complete the Postgraduate Certificate.

You are assessed by the submission of a portfolio at the end of the course in July. This portfolio includes a critical commentary, evidence, observation records, action plans, and a mentor’s report.

Postgraduate Certificate candidates need to achieve all 6 intended learning outcomes and to demonstrate these in their portfolio, for which the commentary should be 8-10,000 words long.

For the Associate module you will need to achieve 3 of the 6 intended learning outcomes, demonstrated in your portfolio for which the commentary should be 4-5,000 words long.

Additional Costs

Additional costs for textbooks, inter-library loans, photocopying, printing, and potential overdue library fines.
No other additional costs for this postgraduate programme are anticipated.

Find information on Scholarships here - http://www.keele.ac.uk/studentfunding/bursariesscholarships/

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This programme offers you the opportunity to study at postgraduate level on a flexible high quality online distance learning basis. Read more
This programme offers you the opportunity to study at postgraduate level on a flexible high quality online distance learning basis. Building on your professional and personal interests and experiences, the programme will deepen and broaden your knowledge and understanding of education. Participating in analysis, critique and discussion of cutting-edge research, current practices and relevant policies, you will study in an online learning community.

Why this programme

-Fully online distance programme ideal for mainstream education professionals working in schools or further and higher education, for those working with adults, in youth work or community development, and those wanting to enter the world of education.
-High quality, fully supported online distance learning offering flexible part-time learning. The programme utilises a virtual learning environment incorporating wikis, blogs, RSS feeds and real-time interactive tools.
-Choice of general or specialist pathways tailored to suit individual student needs.
-You will be a member of an engaged, active international learning community that builds from your own context, drawing on your particular professional and personal experiences to construct learning that is relevant and intellectually challenging.
-You will learn through and with international curricula, pedagogy and learning community.
-You may be an experienced educational practitioner seeking a postgraduate programme to develop your practice or someone who now wishes to enter the exciting and diverse field of education.
-You will work in cohorts across specialisms, educational sectors and geographical locations to learn from and with each other. These cohorts will use online and real-time discussion and information exchanges around milestone activities designed to both provide scaffolded but flexible support.

Programme structure

You will take four core and two optional courses in years 1 and 2. You will also complete a dissertation in year 3 which reflects your research interests.

In addition to the general degree programme you have the opportunity to study on one of five specialist named pathways.
-Adult Education
-Children’s Literature & Literacies
-Educational Leadership
-Inclusive & Special Education
-Youth Studies.

If undertaking the general degree programme, you have an opportunity to select from the specialist optional courses available in your year of study. If undertaking a specialist pathway, you must take the courses outlined below.

Core courses

Year 1
-Modern educational thinking
-Policy and practice

Year 2
-Principles and practices of research
-Research application

Optional courses
-The psychology of adult learning
-International issues
-Texts for children: From printing press to virtual reality
-Reframing language, literature and literacies for 21st century life
-Developing as a leader: Ethics and praxis
-Leading people and organisations: Actions and accountabilities in practice
-Education for all: Inclusive special education
-Working together creating inclusive learning environments
-Working with youth: Education and learning for change
-Perspectives on youth and young adulthood

Studying online

Learning and teaching on this programme will be supported by distance online learning, delivered via Moodle, the University’s chosen Virtual Learning Environment (VLE). The programme's approach to learning and teaching emphasises the construction and maintenance of an online learning community that is both challenging and supportive. Extensive use is made of electronic resources including e-books, online journals online, podcasts and video clips. You will be offered both flexibility and supportive scaffolding via a series of formative learning activities structured around milestone targets for each course.

Learning support takes the form of group and individual communications facilitated by the VLE and supplemented by the appropriate use of email, telephone and webinars as appropriate. Synchronous communications, webinars and Skype, will be used as appropriate (factoring in time zones and relative bandwidth issues) for additional interaction.

You will all be enrolled on the programme's Common Room, which contains advice on the use of Moodle, Academic Literacy and University and external learning support resources. Three weeks prior to commencing your first course, you will participate in an orientation programme designed to ensure you feel competent and confident using the Moodle learning environment and you will also meet the staff who will teach you and your fellow students online.

The University of Glasgow already offers a number of highly successful, positively evaluated distance online programmes, including an international Doctorate in Education (EdD), and so you will be taught and supported by a team of experienced online distance learning practitioners.

Career prospects

Career opportunities may include work in and across different educational sectors including mainstream education, adult education, informal and community education and development, educational leadership, youth work, and in educational publishing and policy-making. You will also be qualified to proceed to study for a PhD or EdD.

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The combined specialisation in Speech and Hearing Sciences provides a thorough multidisciplinary introduction to modern knowledge and current research in the inter related aspects of human spoken communication. Read more
The combined specialisation in Speech and Hearing Sciences provides a thorough multidisciplinary introduction to modern knowledge and current research in the inter related aspects of human spoken communication. It prepares students from different backgrounds for work in the rapidly developing fields of speech and hearing research, and their technological applications.

Degree information

Students take a core set of modules and then have the opportunity to specialise in speech and hearing sciences. In selecting the modules for their specialisation, students will be able to take full advantage of the breadth of expertise in language research in the UCL Division of Psychology & Language Sciences.

Students undertake modules to the value of 180 credits.

The programme consists of two core modules (45 credits), three specialisation modules (45 credits), two optional modules (30 credits) and a research project (60 credits).

Core modules
-Introduction to the Brain and Imaging the Brain
-Research Methods: Principles, Skills and Applications
-Students select three specialisation modules from those below:
-Development of Speech Perception and Production
-Introduction to Speech Sciences
-Experimental Phonetics
-Phonetic Theory

Optional modules - students select two modules from all those offered within UCL Psychology & Language Sciences, subject to availability and agreement with the Programme Director. Options include:
-Deafness, Cognition and Language
-Second Language Speech Learning
-Web Programming for Psychology and Language Sciences
-Stuttering
-Advanced topics in Speech Perception
-Current Issues in Production, Perception and Neural Processing of Speech

Not all modules will run every year, some modules may require a minimum number of registered students.

Dissertation/report
All students undertake an independent research project in an area of language science which culminates in a dissertation of 10,000 words.

Teaching and learning
The programme is delivered through a combination of lectures, small-group teaching and a virtual learning environment. Some modules also involve workshops or practical classes. Student performance is assessed through coursework, examinations and the research dissertation.

Careers

The majority of students who graduate from Language Sciences MSc programmes go on to further study or research. Recent graduates have gone on to PhD study in UCL, other UK institutions and overseas institutions. Others have gone to work in related industries (for example in speech technology industries, cochlear implants manufacturers) or in education. The skills that the MSc develops – independent research, presentation skills, statistics – are transferable skills that are very highly sought after outside academia.

Why study this degree at UCL?

The UCL Division of Psychology & Language Sciences undertakes world-leading research and teaching in mind, behaviour, and language. Staff and students benefit from cutting-edge resources including extensive laboratories for research in speech and language, perception, and cognition.

Opportunities for students to work with world-renowned researchers exist in all areas of investigation. The division offers a supportive environment including numerous specialist seminars, workshops, and guest lectures.

The Language Sciences MSc provides the opportunity for in-depth study of one or more areas of the language sciences. The programme is an 'umbrella degree', with a number of specialisation strands that follow a common structure.

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The structure and choice of the content you negotiate as part of your award, is congruent with a philosophy of adult learning. Read more
The structure and choice of the content you negotiate as part of your award, is congruent with a philosophy of adult learning. As a student you will embrace responsibility for your own learning, using initiative and insight to discover what you need to learn with learning intrinsically related to your personal context and experience. Within this process, you will learn to reflect upon experience, developing new concepts, attitudes and behaviours to apply to future decision making and judgements. Through negotiation of learning activities and outcomes prior experience is valued and as a student you will become personally engaged in learning in a way that is personally motivating and significant to you.

In recognition of the uniqueness of experience, the individuality of journey is central to the award philosophy with students able to:
-Study at your own pace and convenience
-Negotiate aims and learning outcomes tailored to experience and context
-Negotiate the nature and form of your learning activities
-Negotiate an appropriate method of assessing your learning

In order to facilitate this individual journey a Negotiated Learning Advisor will support you throughout your award, enabling you to develop a Learning Contract that demonstrates at least 25% of the Award is achieved through negotiated learning modules.

Course overview

The aims of the award reflect the University values of widening participation, providing a programme of study that reflects individual needs and diversity in that the award is devised to:
-Offer bespoke programmes of learning to meet the needs of students and employers.
-Provide an award to support the Faculty’s engagement within health and social care career pathways.
-Maximise opportunities for independent and work- based learning.
-Provide individuals with the opportunity to gain postgraduate qualifications through negotiation.
-Offer flexible entry and exit points; PgC, PgD.
-Provide opportunities for students to build upon prior learning.

Although the individual nature of learning on this award has been stressed, it is recognised there may be groups of students whose learning needs are so similar they may form a cohort. Such cohorts could be supported by an employer, or sponsor who has identified a number of common learning outcomes and who share learning experiences, or they may be a group of individuals who have a shared health or social care work-based or career orientation.

Graduate destinations

Working in health and Social Care.

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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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This MSc teaches advanced analytical and computational skills for success in a data rich world. Read more
This MSc teaches advanced analytical and computational skills for success in a data rich world. Designed to be both mathematically rigorous and relevant, the programme covers fundamental aspects of machine learning and statistics, with potential options in information retrieval, bioinformatics, quantitative finance, artificial intelligence and machine vision.

Degree information

The programme aims to provide graduates with the foundational principles and the practical experience needed by employers in the area of machine learning and statistics. Graduates of this programme will have had the opportunity to develop their skills by tackling problems related to industrial needs or to leading-edge research.

Students undertake modules to the value of 180 credits.

The programme consists of four core modules (60 credits), four optional modules (60 credits) and a research project (60 credits). Please note that not all combinations of optional modules will be available due to timetabling restrictions.

Core modules
-Supervised Learning
-Statistical Modelling and Data Analysis
-Graphical Models or Probabilistic and Unsupervised Learning
Plus one of:
-Applied Bayesian Methods
-Statistical Design of Investigations
-Statistical Computing
-Statistical Inference

Optional modules - students select 60 credits from the following list:
-Advanced Topics in Machine Learning
-Affective Computing and Human-Robot Interaction
-Applied Bayesian Methods
-Approximate Inference and Learning in Probabilistic Models
-Computational Modelling for Biomedical Imaging
-Information Retrieval and Data Mining
-Machine Vision
-Selected Topics in Statistics
-Optimisation
-Statistical Design of Investigations
-Statistical Inference
-Statistical Natural Language Programming
-Stochastic Methods in Finance
-Stochastic Methods in Finance 2
-Advanced Topics in Statistics
-Mathematical Programming and Research Methods
-Intelligent Systems in Business

Dissertation/report
All MSc students undertake an independent research project, which culminates in a dissertation of 10,000-12,000 words.

Teaching and learning
The programme is delivered through a combination of lectures, discussions, practical sessions and project work. Student performance is assessed through unseen written examinations, coursework, practical application and the project assessment process.

Careers

There is a strong national and international demand for graduates with skills at the interface of traditional statistics and machine learning. Substantial sectors of UK industry, including leading, large companies already make extensive use of computational statistics and machine learning techniques in the course of their business activities. Globally there are a large number of very successful users of this technology, many located in the UK. Areas in which expertise in statistics and machine learning is in particular demand include; finance, banking, insurance, retail, e-commerce, pharmaceuticals, and computer security. Graduates have gone on to further study at, for example, the Universities of Cambridge, Helsinki, Chicago, as well as at UCL. The MSc is also ideal preparation for a PhD, in statistics, machine learning or a related area.

Top career destinations for this degree:
-Statistical and Algorithm Analyst, Telemetry
-Decision Scientist, Everline
-Computer Vision Researcher, Slyce
-Data Scientist, YouGov
-Research Engineer, DeepMind

Employability
Scientific experiments and companies now routinely generate vast databases and machine learning and statistical methodologies are core to their analysis. There is a considerable shortfall in the number of qualified graduates in this area internationally. CSML graduates have been in high demand for PhD positions across the sciences. In London there are many companies looking to understand their customers better who have hired our CSML graduates. Similarly graduates now work in companies in, amongst others, Germany, Iceland, France and the US in large-scale data analysis. The finance sector has also hired several graduates recently.

Why study this degree at UCL?

The Centre for Computational Statistics and Machine Learning (CSML) is a major European Centre for machine learning having coordinated the PASCAL European Network of Excellence.

Coupled with the internationally renowned Gatsby Computational Neuroscience and Machine Learning Unit, and UCL Statistical Science, this MSc programme draws on world-class research and teaching talents. The centre has excellent links with world-leading companies in internet technology, finance and related information areas.

The programme is designed to train students in both the practical and theoretical sides of machine learning. A significant grounding in computational statistics is also provided.

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The MSc Health Sciences Open Award allows you to build a bespoke Master’s degree pathway. You can access a wide range of modules across the Faculty of Health and Life Sciences, and combine these into an MSc pathway. Read more
The MSc Health Sciences Open Award allows you to build a bespoke Master’s degree pathway. You can access a wide range of modules across the Faculty of Health and Life Sciences, and combine these into an MSc pathway. The award offers opportunities for work-based learning and for bringing professional expertise and academic knowledge into dialogue. The recognition of the workplace as a forum for learning and development enables you to capitalise upon educational opportunities and to situate your professional practice in a rich context of academic theory. Relevant credits may be gained entirely within the Oxford Brookes modular framework or may include some credit from other recognised institutions.

This course was previously called Health and Social Care Student Designed Award.

See the website http://www.brookes.ac.uk/studying-at-brookes/courses/postgraduate/2015/health-sciences-open-award/

Why choose this course?

- You will be working with staff at the cutting edge of professional development for health and social care.

- Oxford Brookes provides access to health care settings with international reputations for excellence and innovation, including the Oxford University Hospitals NHS Trust and Oxford Health NHS Foundation NHS Trust.

- We work closely with major charities such as Macmillan Cancer Support.

- As a member of the Oxford Academic Health Science Centre, we work with partners to provide opportunities for the translation of world leading research into the teaching and delivery of health care.

- Gain academic credit for projects pursued in the workplace such as quality improvement projects or educational programmes.

- Resources at your finger-tips include a world-class academic community and access to some invaluable resources, including the Radcliffe Science Library.

Teaching and learning

Every student on the MSc Health Sciences negotiates his or her own combination of modules; please contact the programme administrator for an up-to-date list. Every MSc programme must include a dissertation or project management report, and it must also include research design training.

Oxford Brookes is committed to student-centred learning, with an emphasis on contracted learning activities and educational staff acting as facilitators. Our students are experienced professionals whose skills and knowledge have led them to design and undertake individual programmes of learning. Your programmes will build on existing knowledge and skills, and will provide opportunities for academic learning whilst further developing the professional practice of self and others. In order to draw on students’ experience and prior learning, and encourage innovation and development within the practice areas, a student-centred and facilitative approach is taken to teaching and learning.

Approach to assessment

Modules are assessed either by coursework or examination or both and full details are given in module guides. University processes ensure that assessment is rigorous, of an appropriate standard and fair - a process overseen by an external examiner, who ensures that the standards used to assess students are comparable with those of other universities.

Each assessment is designed so that you can show that you have achieved the learning outcomes for the module and for the whole programme. The range, type and timing of assessments have been carefully chosen to promote independent and reflective learning. Tasks and questions are set by the module leader, internally moderated (checked by another member of staff) and sent to the external examiner to ensure that they are appropriate for assessment of the module learning outcomes and that the instructions and marking criteria are clear.

How this course helps you develop

This course will assist you in developing your career by providing a programme of study that is tailored to your individual needs. and which takes the specific nature of your current role into account. The course can thus help you to meet your professional development needs and can be tailored to match your career aspirations for the future.

Careers

Post-qualifying education in your health or social care field may allow you to take on more senior roles at work, and may improve your prospects and options for promotion and progression.

Free language courses for students - the Open Module

Free language courses are available to full-time undergraduate and postgraduate students on many of our courses, and can be taken as a credit on some courses.

Please note that the free language courses are not available if you are:
- studying at a Brookes partner college
- studying on any of our teacher education courses or postgraduate education courses.

Research highlights

The Professional Education and Leadership course team have research and publication interests in the fields of coaching and mentoring, service improvement, medical trainees' educational experiences, and inter-professional and work-based learning.

In the Research Excellence Framework (REF) 2014, 98% of our research in Allied Health Professions, Dentistry, Nursing and Pharmacy was rated as internationally recognised, with 82% being world leading or internationally excellent.

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Penn’s Master of Chemical Sciences is designed for your success. Chemistry professionals are at the forefront of the human quest to solve ever-evolving challenges in agriculture, healthcare and the environment. Read more
Penn’s Master of Chemical Sciences is designed for your success
Chemistry professionals are at the forefront of the human quest to solve ever-evolving challenges in agriculture, healthcare and the environment. As new discoveries are made, so are new industries — and new opportunities. Whether you’re currently a chemistry professional or seeking to enter the field, Penn’s rigorous Master of Chemical Sciences (MCS) builds on your level of expertise to prepare you to take advantage of the myriad career possibilities available in the chemical sciences. With a faculty of leading academic researchers and experienced industry consultants, we provide the academic and professional opportunities you need to achieve your unique goals.

The Penn Master of Chemical Sciences connects you with the resources of an Ivy League institution and provides you with theoretical and technical expertise in biological chemistry, inorganic chemistry, organic chemistry, physical chemistry, environmental chemistry and materials. In our various seminar series, you will also regularly hear from chemistry professionals who work in a variety of research and applied settings, allowing you to consider new paths and how best to take advantage of the program itself to prepare for your ideal career.

Preparation for professional success
If you’ve recently graduated from college and have a strong background in chemistry, the Master of Chemical Sciences offers you a exceptional preparation to enter a chemistry profession. In our program, you will gain the skills and confidence to become a competitive candidate for potential employers as you discover and pursue your individual interests within the field of chemistry. Our faculty members bring a wealth of research expertise and industry knowledge to help you define your career direction.

For working professionals in the chemical or pharmaceutical industries, the Master of Chemical Sciences accelerates your career by expanding and refreshing your expertise and enhancing your research experiences. We provide full- and part-time options so you can pursue your education without interrupting your career. You can complete the 10-course program in one and a half to four years, depending on course load.

The culminating element of our curriculum, the capstone project, both tests and defines your program mastery. During the capstone exercise, you will propose and defend a complex project of your choice, that allows you to stake out a new professional niche and demonstrate your abilities to current or prospective employers.

Graduates will pursue fulfilling careers in a variety of cutting-edge jobs across government, education and corporate sectors. As part of the Penn Alumni network, you’ll join a group of professionals that spans the globe and expands your professional horizons.

Courses and Curriculum

The Master of Chemical Sciences degree is designed to give you a well-rounded, mechanistic foundation in a blend of chemistry topics. To that end, the curriculum is structured with a combination of core concentration courses and electives, which allow you to focus on topics best suited to your interests and goals.

As a new student in the Master of Chemical Sciences program, you will meet with your academic advisor to review your previous experiences and your future goals. Based on this discussion, you will create an individualized academic schedule.

The Master of Chemical Sciences requires the minimum completion of 10 course units (c.u.)* as follows:

Pro-Seminar (1 c.u.)
Core concentration courses (4-6 c.u., depending on concentration and advisor recommendations)
Elective courses in Chemistry, such as computational chemistry, environmental chemistry, medicinal chemistry, catalysis and energy (2-4 c.u., depending on concentration and advisor recommendations)
Optional Independent Studies (1 c.u.)
Capstone project (1 c.u.)
Pro-Seminar course (CHEM 599: 1 c.u.)
The Pro-Seminar will review fundamental concepts regarding research design, the scientific method and professional scientific communication. The course will also familiarize students with techniques for searching scientific databases and with the basis of ethical conduct in science.

Concentration courses
The concentration courses allow you to develop specific expertise and also signify your mastery of a field to potential employers.

The number of elective courses you take will depend upon the requirements for your area of concentration, and upon the curriculum that you plan with your academic advisor. These concentration courses allow you to acquire the skills and the critical perspective necessary to master a chemical sciences subdiscipline, and will help prepare you to pursue the final capstone project (below).

You may choose from the following six chemical sciences concentrations:

Biological Chemistry
Inorganic Chemistry
Organic Chemistry
Physical Chemistry
Environmental Chemistry
Materials
Independent Studies
The optional Independent Studies course will be offered each fall and spring semester, giving you an opportunity to participate in one of the research projects being conducted in one of our chemistry laboratories. During the study, you will also learn analytical skills relevant to your capstone research project and career goals. You can participate in the Independent Studies course during your first year in the program as a one-course unit elective course option. (CHEM 910: 1 c.u. maximum)

Capstone project (1 c.u.)

The capstone project is a distinguishing feature of the Master of Chemical Sciences program, blending academic and professional experiences and serving as the culmination of your work in the program. You will develop a project drawing from your learning in and outside of the classroom to demonstrate mastery of an area in the chemical sciences.

The subject of this project is related to your professional concentration and may be selected to complement or further develop a work-related interest. It's an opportunity to showcase your specialization and your unique perspective within the field.

Your capstone component may be a Penn laboratory research project, an off-campus laboratory research project or a literature-based review project. All components will require a completed scientific report. It is expected that the capstone project will take an average of six months to complete. Most students are expected to start at the end of the first academic year in the summer and conclude at the end of fall semester of the second year. Depending on the capstone option selected, students may begin to work on the capstone as early as the spring semester of their first year in the program.

All capstone project proposals must be pre-approved by your concentration advisor, Master of Chemical Sciences Program Director and if applicable, your off-campus project supervisor. If necessary, nondisclosure agreements will be signed by students securing projects with private companies. Additionally, students from private industry may be able to complete a defined capstone project at their current place of employment. All capstone projects culminate in a final written report, to be graded by the student's concentration advisor who is a member of the standing faculty or staff instructor in the Chemistry Department.

*Academic credit is defined by the University of Pennsylvania as a course unit (c.u.). Generally, a 1 c.u. course at Penn is equivalent to a three or four semester hour course elsewhere. In general, the average course offered at Penn is listed as being worth 1 c.u.; courses that include a lecture and a lab are often worth 1.5 c.u.

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Would you like to be involved in finding solutions to future challenges of food and energy production, such as climate change, population growth and limited energy resources? Are you interested in animal welfare, clean soil, environmental issues or the newest methods in biological and genetic engineering? Would you like to learn about automation and robotics in agriculture?. Read more
Would you like to be involved in finding solutions to future challenges of food and energy production, such as climate change, population growth and limited energy resources? Are you interested in animal welfare, clean soil, environmental issues or the newest methods in biological and genetic engineering? Would you like to learn about automation and robotics in agriculture?

Join the Master’s Programme in Agricultural Sciences on the Viikki Campus to find solutions for the challenges of today and tomorrow. The University of Helsinki is the only university in Finland to offer academic education in this field.

In the Master’s Programme in Agricultural Sciences, you can pursue studies in plant production sciences, animal science, agrotechnology, or environmental soil science, depending on your interests and previous studies. For further information about the study tracks, see Programme contents.

Upon completing a Master’s degree, you will:
-Be an expert in plant production science, animal science, agrotechnology, or environmental soil science.
-Be able to assess the sustainability and environmental impact of food and energy production.
-Be able to apply biosciences, ecology, chemistry, physics or statistics, depending on your study track, to the future needs of agriculture.
-Have mastered the key issues and future development trends of your field.
-Have mastered state-of-the-art research and analysis methods and techniques.
-Be able to engage in international activities, project work and communication.
-Be able to acquire and interpret scientific research information in your field and present it orally and in writing.
-Have the qualifications to pursue postgraduate studies in a doctoral programme or a career as an expert or entrepreneur.

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

The Master’s Programme in Agricultural Sciences comprises four study tracks:
Plant production sciences – plants as sources of food, feed, energy, beauty and wellbeing
During your studies, you will have the opportunity to apply biology to the breeding, cultivation, protection and production ecology of crop or horticultural plants. Producing sufficient food is one of the great challenges facing humanity. Plant production sciences have an important mission in finding solutions to this challenge. Plants are cultivated not only for food and feed, but also for bioenergy, green landscapes and ornamental purposes; plant production sciences seek new, improved solutions for all these purposes.

Animal science – animal health and wellbeing
During your studies, you will become familiar with issues pertaining to the wellbeing, nutrition and breeding of production and hobby animals as well as with the relevant biotechnology. In this study track you will apply biochemistry, animal physiology, genetics and molecular biology for the benefit of sustainable animal production. The Viikki Research Farm, in urban Helsinki, provides plenty of opportunities for hands-on learning!

Agrotechnology – technology with consideration for the environment
This study track provides you with the opportunity to study technologies that are key to agricultural production and the environment, from the basics to the latest innovations. Advances in technology and automation offer new horizons to fearless inventors interested in developing machinery and engineering for the reorganisation, implementation and adjustment of production in accordance with the needs of plants and animals.

Environmental soil science – dig below the surface
These studies allow you to literally dig beneath the surface. The soil is a central factor for the production of renewable natural resources, the diversity of nature, and the quality of water systems. As an expert in environmental soil science you will know how the soil serves as a substrate for plants and affects the quality of food, and how it can be improved.

Selection of the Major

The Master’s Programme in Agricultural Sciences comprises four study tracks, allowing you to focus on a specialisation according to your interests and previous studies: plant production sciences (quota of 40 students), animal science (quota of 25 students), agrotechnology (quota of 15 students), and environmental soil science (quota of 5 students).

You can be admitted to the Master’s Programme in Agricultural Sciences either directly from the relevant Bachelor’s programme or through a separate admissions process. A total of 80 students will be admitted through these two admissions channels.

Programme Structure

With a scope of 120 credits (ECTS), the Master’s programme can be completed in two academic years. The degree comprises:
-60 credits of advanced studies in the selected study track, including your Master’s thesis (30 credits)
-60 credits of other studies from the curriculum of your own or other degree programmes

The study tracks of the Master’s Programme in Agricultural Sciences collaborate across disciplinary boundaries to construct thematic modules around importance topical issues: the bioeconomy, the recycling of nutrients, food systems, and the production and exploitation of genomic information.

You must also complete a personal study plan (PSP). Your studies can also include career orientation and career planning.

Various teaching methods are used in the programme, including lectures, practical exercises, practical laboratory and field courses, practical training, seminars, project work and independent study.

Career Prospects

As a graduate of the Master’s Programme in Agricultural Sciences, you will have the competence to pursue a career or to continue your studies at the doctoral level.

According to the statistics of the Finnish Association of Academic Agronomists, the current employment situation for new graduates is positive. Graduates have found employment in Finland and abroad as experts in the following fields:
-Research and product development (universities, research institutes, companies, industry).
-Administration and expert positions (ministries, supervisory agencies, EU, FAO).
-Business and management (companies).
-Teaching, training and consultation (universities, universities of applied sciences, organisations, development cooperation projects).
-Communication (universities, media, companies, ministries, organisations).
-Entrepreneurship (self-employment).

As a graduate you can apply for doctoral education in Finland or abroad. A doctoral degree can be completed in four years. With a doctoral degree you can pursue a career in the academic world or enter the job market. The qualifications required for some positions may be a doctoral rather than a Master’s degree.

Other admission details

Applications are also accepted from graduates of other University of Helsinki Bachelor’s programmes as well as from graduates of other Finnish or international universities. In these cases, admission will be based on your previous academic performance and the applicability of your previous degree. For the latest admission requirements see the website: https://www.helsinki.fi/en/masters-admission-masters-programme-in-agricultural-sciences-master-of-science-agriculture-and-forestry-2-years/1.2.246.562.20.29558674254

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There is a high demand from industry worldwide, including from substantial sectors in the UK, for graduates with skills at the interface of traditional statistics and machine learning. Read more
There is a high demand from industry worldwide, including from substantial sectors in the UK, for graduates with skills at the interface of traditional statistics and machine learning. MRes graduates benefit from the department’s excellent links in finding employment; this programme is also ideal preparation for a research career.

Degree information

The programme aims to provide graduates with the foundational principles and the practical experience needed by employers in the areas of computational statistics and machine learning (CSML). Students will have the opportunity to develop their skills by tackling problems related to industrial needs or to leading-edge research. They also undertake a nine-month research project which enables the department to more fully assess their research potential.

Students undertake modules to the value of 180 credits.

The programme consists of two core modules (30 credits), three optional modules (45 credits) and a dissertation/report (105 credits).

Core modules
-Investigating Research
-Researcher Professional Development

Optional modules - students select three modules from the following:
-Advanced Topics in Machine Learning
-Statistical Inference
-Applied Bayesian Methods
-Approximate Inference and Learning in Probabilistic Models
-Graphical Models
-Information Retrieval and Data Mining
-Inverse Problems in Imaging
-Machine Vision
-Probabilistic and Unsupervised Learning
-Statistical Computing
-Statistical Inference
-Statistical Models and Data Analysis
-Supervised Learning
-Selected Topics in Statistics

Dissertation/report
All students undertake an independent research project which culminates in a substantial dissertation.

Teaching and learning
The programme is delivered through a combination of lectures, tutorials and seminars. Lectures are often supported by laboratory work with assistance from demonstrators. Students liaise with their academic or industrial supervisor to choose a study area of mutual interest for the research project. Performance is assessed by unseen written examinations, coursework and the research dissertation.

Careers

Graduates have gone on to further study at, for example, the Universities of Cambridge, Helsinki, and Chicago, as well as at UCL. Similarly, CSML graduates now work in companies in Germany, Iceland, France and the US in large-scale data analysis. The finance sector is also particularly interested in CSML graduates.

Employability
Scientific experiments and companies now routinely generate vast databases, and machine learning and statistical methodologies are core to their analysis. There is a considerable shortfall in the number of qualified graduates in this area internationally, while in London there are many companies looking to understand their customers better who have hired CSML graduates. Computational statistics and machine learning skills are in particular demand in areas including finance, banking, insurance, retail, e-commerce, pharmaceuticals, and computer security. CSML graduates have obtained PhD positions both in machine learning and related large-scale data analysis, and across the sciences.

Why study this degree at UCL?

The Centre for Computational Statistics and Machine Learning (CSML) is a major European Centre for machine learning, having coordinated the PASCAL European Network of Excellence.

UCL CSML is a major European centre for machine learning, having organised the PASCAL European Network of Excellence which represents the largest network of machine learning researchers in Europe.

UCL Computer Science graduates are particularly valued by the world’s leading organisations in internet technology, finance, and related information areas, as a result of the department’s strong international reputation and ideal location close to the City of London.

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The two-year Master in Educational Sciences aims to prepare students for academic and professional interventions in the field of educational innovation. Read more

About the programme

The two-year Master in Educational Sciences aims to prepare students for academic and professional interventions in the field of educational innovation. It prepares students for research into the nature, development and features of educational actors, institutions, related policies, and processes in educational development and educational practices.

The programme consists of two years and includes an internship and master thesis during the second year. It comprises one set of compulsory courses and one set of optional courses. The optional courses allow students to focus on specific aspects of educational practice and research and further deepen their knowledge.

Theoretical knowledge and research skills

Next to theoretical knowledge, students will acquire research skills to conduct theoretical and empirical research. They will be able to connect the educational practices with the practice of research. The students will be involved in authentic research tasks or projects to learn how to apply theoretical frameworks and research methodologies.

This programme aims to train students in applying relevant research software, conducting educational surveys and other research methodologies through this programme.

Course outline

The educational strategy used in this programme is a blended learning approach. It encompasses a combination of online learning and face to face lessons. The flexibility (in time and place) of online learning is joined with the often needed face to face support and real life contacts with students, teachers and researchers. The programme appeals to innovative methods and interactive technologies to support student learning, such as using discussion forums, blogs and wikis to support online collaborative learning and peer interaction. In addition, teaching and learning strategies such as case-based learning supported by online tools will be applied in this International Master Programme.

The programme includes an internship and master thesis during the second year. It comprises one set of compulsory courses and one set of optional courses. The optional courses allow students to focus on specific aspects of educational practice and research and further deepen their knowledge.

 First year of the Master: relationship between theory and practice
In the first Master year, students discover the different theories and their significance for the educational practice. The relationship between theory and practice will constantly act as the central focus. Students will scrutinize the different theories and methods critically and they will create their own opinions. They will be guided gradually and therefore they’ll receive a broad orientation on the educational sciences.

Next to this more general knowledge, we will focus on curriculum design and educational innovation. This includes learning competences on designing learning processes in formal education, educational work, company’s training programmes… To further complement these competences, students can choose courses that will enable them to technically support learning processes (educational technology, e-environments) and/or courses that offer them deeper insight into the management approaches to facilitate innovation in curricula.

 Second year of the Master : focus on research activities

In the second year of the master programme, students will be introduced to numerous research activities of different educational fields: information- and communication technology in education, ICT support for learning processes … Naturally within this last year, students will turn into real professionals. This means that they are very familiar with theory, but moreover they will be able to manage practical issues as well. Therefore, the study programme consists of case studies in which theory and practice go together well, and in which internship (=practice) and a master thesis (= theory and research) are included. Students can perform their internship & master thesis in the European context or in their home country.

The pedagogical internship aims to introduce students to the reality of the pedagogical and educational field. Students learn to cope with educational methods, insights and concepts in real practice. Of course they receive the guidance needed to complete this challenge. As the internship evolves, the student receives more responsibilities and builds more independency by performing the job as an educational expert. Core competencies that were achieved through the programme are further developed, practiced and examined in relation to the educational practice.Top

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The Machine Learning MSc at UCL is a truly unique programme and provides an excellent environment to study the subject. It introduces the computational, mathematical and business views of machine learning to those who want to upgrade their expertise and portfolio of skills in this domain. Read more
The Machine Learning MSc at UCL is a truly unique programme and provides an excellent environment to study the subject. It introduces the computational, mathematical and business views of machine learning to those who want to upgrade their expertise and portfolio of skills in this domain.

Degree information

Students develop an understanding of the principles underlying the development and application of new techniques in this area, alongside an awareness of, and ability to analyse the range and scope of algorithms and approaches available, and design, develop and evaluate appropriate algorithms and methods for new problems and applications.

Students undertake modules to the value of 180 credits. The programme consists of two core modules (30 credits), six optional modules (90 credits) and a research project (60 credits).

Core modules
-Supervised Learning
-Either Graphical Models
OR
-Probabilistic and Unsupervised Learning

Optional modules
-Machine Vision
-Bioinformatics
-Information Retrieval and Data Mining
-Advanced Topics in Machine Learning
-Inverse Problems in Imaging
-Affective Computing and Human-Robot Interaction
-Approximate Inference and Learning in Probabilistic Models
-Applied Machine Learning
-Computational Modelling for Biomedical Imaging
-Programming and Mathematical Methods for Machine Learning
-Statistical Natural Language Programming
-Numerical Optimisation

Dissertation/report
All MSc students undertake an independent research project which culminates in a dissertation ( maximum length of 120 pages) in the form of a project report.

Teaching and learning
The programme is delivered through a combination of lectures, seminars, class discussions and project supervision. Student performance is assessed though a combination of unseen written examination, coursework (much of which involves programming and/or data analysis), practical application, and the research project.

Careers

Graduates from this programme have an excellent employment record. Substantial sectors of UK industry, including leading, large companies already make extensive use of intelligent systems techniques in the course of their business activities, and the UK has a number of very successful developers and suppliers of the technology. Students also benefit from strong corporate and academic connections within the UCL Computer Science alumni network.

Graduates have machine learning research degrees in domains as diverse as robotics, music, psychology, bioinformatics at the universities of Basel, Cambridge, Edinburgh, Nairobi, Oxford and at UCL. Graduates have also found positions with multi national companies such as BAE Systems and BAE Detica.

Top career destinations for this degree:
-Software Engineer, Bisual
-PhD Computer Programming, Newcastle University
-Software Developer, Total Gas & Power
-Risk Analyst, National Bank of Greece
-Research Engineer, Xerox Research Centre India

Employability
Scientific experiments and companies now routinely generate vast databases and machine learning and statistical methodologies are core to their analysis. There is a considerable shortfall in the number of qualified graduates in this area internationally. Machine Learning graduates have been in high demand for PhD positions across the sciences. In London there are many companies looking to understand their customers better who have hired our graduates. Similarly graduates now work in companies in, amongst others, Germany, Iceland, France and the US in large-scale data analysis. The finance sector has also hired several graduates recently.

Why study this degree at UCL?

UCL Computer Science is recognised as a world leader in teaching and research, and our Master's programmes have some of the highest employment rates and starting salaries.

We take an experimental approach to our subject, enjoy the challenge and opportunity of entrepreneurial partnerships and place a high value on our extensive range of industrial collaborations.

This MSc is one of the few leading Master's programmes entirely dedicated to machine learning. It combines a rigorous theoretical academic framework along with specific knowledge of a variety of application fields to fast-track your commercial career or to prepare for PhD research.

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Take advantage of one of our 100 Master’s Scholarships to study Medicine and Life Sciences 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 Medicine and Life Sciences 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 MRes in Medicine and Life Sciences provides an ideal opportunity and environment in which to gain practical training in Research Methods and to join a thriving research team within Swansea University Medical School. The Medicine and Life Sciences course has been developed with an emphasis on providing students with a research-oriented approach to their learning.

Students are able to tailor their studies towards a career in one of the School's internationally recognised research themes:

– Biomarkers and Genes,
– Devices,
– Microbes and Immunity,
– Patient & Population Health and Informatics.

Key Features

The Medicine and Life Sciences programme is committed to supporting the development of evidence within the areas of Health, Medicine and Life Science through the training of researchers whose findings will directly inform their own understanding and that of others. The ethos of this programme in Medicine and Life Sciences is to produce graduates with the research skills and knowledge to become effective researchers, who will contribute to the body of knowledge within their chosen area of interest that will have an impact upon the health and well-being of all.

The advantage of an MRes over other formats is that it provides a structured yet in-depth approach, taking the taught component of FHEQ Level 7 teaching as a framework for conducting research on the candidate's own practice.
Innovative and integrated curriculum that reflects the various aspects of the research process.
Multidisciplinary teaching team with vast experience and expertise in conducting high quality research.
Research informed teaching.
Teaching is supported by online learning and support.
Flexibility for you to gain specialist knowledge.
A one year full-time taught masters programme designed to develop the essential skills and knowledge required for a successful research career.
This Medicine and Life Sciences course is also available for two years part-time study.
The opportunity to conduct an individual research project with an interdisciplinary team within a supportive environment.
Students will be assigned a research-active supervisory team

The aim of the MRes Medicine and Life Sciences is to provide students with broad research training to prepare them for a research career in Medical and Life Science research with emphasis on: Biomarkers & Genes, Devices, Microbes & Immunity, Patient & Population Health and Informatics. The course has been developed to enable graduates to pursue a variety of research careers in Medical and Life Sciences. The Medicine and Life Sciences programme comprises both taught and research elements.

By the end of the programme students will have:

Developed necessary skills to critically interpret and evaluate research evidence; Gained experience in analysis and interpretation of research data; Advanced knowledge at the forefront of Medical and Life Science research, with the ability to integrate the theoretical and practical elements of research training; Developed the ability to conceptualise, design and implement a research project for the generation of new evidence that informs Health, Medicine and Life Science; Developed practical research skills by working with an interdisciplinary research team; The ability to confidently communicate research ideas and conclusions clearly and effectively to specialist and non-specialist audiences; Acquired transferable skills which enhance your employability and future research career.

Course Structure

Students must complete 3 modules of 20 credits each and produce a 120 credits thesis on a research project aligned to one of the School’s research themes. Each taught module of the programme requires a short period of attendance that is augmented by preparatory and reflective material supplied via the course website before and after attendance.

The Medicine and Life Sciences programme is designed in two phases:

Phase 1 – Training and Application (October – January; 60 credits)

Taught modules in Research Methods and their application to Medicine and Life Science. Personalised education and training relevant to student’s research interests. Identification of research questions and how they might be addressed. Focus on students' existing knowledge and research skills.

Phase 2 – Research Project (February – September; 120 credits)

The project is selected by the student in combination with an academic supervisory team. Focussed on one of the School’s four main research themes: Biomarkers and Genes, Devices, Microbes and Immunity, and Patient & Population Health and Informatics. At the end of Part 2 students submit a 40,000 word thesis worth 120 credits leading to the award of Master of Research in Medicine and Life Science.

Modules on the MRes Medicine and Life Sciences typically include:

Critical Appraisal and Evaluation
Data Analysis for Health and Medical Sciences
Research Leadership and Project Management OR any topic specific FHEQ Level 7 module from the Medical School's portfolio

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The Master of Science (MSc) Health Sciences framework offers a flexible programme with both generic and named routes to cater for the learning and personal/professional development needs of individuals from the UK, EU and internationally. Read more
The Master of Science (MSc) Health Sciences framework offers a flexible programme with both generic and named routes to cater for the learning and personal/professional development needs of individuals from the UK, EU and internationally.

It is distinctive in that it provides a balance of generality and specificity of content to cater for a wide range of student educational needs. It has global perspective and seeks to encourage inter-professional practice by being open to members of different health and allied health professionals within an academic community.

Key Course Features

-Provides a range of study routes, enabling the development of specialist knowledge and meeting the vocational aims of practitioners within clinical and health related disciplines.
-Students will develop a systematic knowledge and critical understanding of healthcare from a global perspective.
-Learn transferable skills necessary to be able to make decisions that require the exercise of personal autonomy, including initiative, problem solving, leadership and reflexive capacity in complex and or unpredictable situations.
-Evidence a critical awareness of current problems and/or new insights, some of which are at, or informed by, the forefront of the academic disciplines of healthcare sciences.
-Comprehensively discuss and provide critical comments on research evidence and scholarship within areas of health and healthcare sciences.

What Will You Study?

There are three core modules for all of the MSc Health Sciences routes (as well as route specific modules and a wide range of optional modules).

The three core modules are:
-Critically Exploring Professional Practice Level 7 (20 Credits)
-Research Methods Level 7 (20 Credits)
-Leadership and Professional Practice Level 7 (20 Credits)

The information listed in this section is an overview of the academic content of the programme that will take the form of either core or option modules. Modules are designated as core or option in accordance with professional body requirements and internal academic framework review, so may be subject to change.

Assessment and Teaching

The MSc Health Sciences programme is delivered through a broad range of learning and teaching strategies. The delivery of the programmes and their assessment will reflect the spirit of Wrexham Glyndŵr University’s Learning, Teaching and Assessment Strategy and in particular emphasises:
-The development of autonomous learners.
-Provision of learning opportunities that are personally and professionally relevant and quality assured.
-The maintenance of a supportive learning environment.
-The promotion of the scholarship of teaching.

This strategy will be achieved through the use of a variety of learning and teaching techniques which include lectures, seminars, workshops, discussions, debates, group tutorials, case studies, problem-based learning, visiting speakers, role play and use of clinical and health simulations with in a framework of inter-professional education wherever possible. In all these endeavours tutors act as facilitators of learning rather than merely as a means of transmitting knowledge.

Career Prospects

In summary, both generic and named routes on the programme are designed to enhance the employability of individuals through the in depth development of contemporary health knowledge and related transferable skills and in turn to better meet the health and healthcare needs of the populations they serve.

For students on a relevant pathway and who meet the specific optional module entry requirements there is also the opportunity to achieve learning that meets professional requirements for independent or supplementary prescribing, mentorship or practice teaching.

Other Admission Requirements

A candidate must satisfy one, or combination, of the following conditions:
A) An initial honours degree of Wrexham Glyndŵr University or another approved degree awarding body.
B) Equivalent overseas qualifications deemed satisfactory by the programme team
C) A non-graduate qualification which the University deems to be of satisfactory standard for the purpose of post-graduate admission.
D) Have relevant work experience at a senior level that is deemed to compensate the lack of formal qualifications and have held a position of management responsibility within the or health or social care sectors for a minimum of three years within the previous five years (this normally applies to part time home students only)

In a case where there is lack of clarity or need to gain deeper insight into a candidate’s suitability for the programme of study an informal interview with the candidate may be held, which may be undertaken via Skype or other distance communication technology.

This will allow the candidate an opportunity to provide evidence to the satisfaction of the interview panel of his/her ability to complete academic work of the required standard in the subject area and to complete successfully the scheme of study proposed.

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