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Full Time MSc Degrees in Computer Science, Aberystwyth, United Kingdom

We have 6 Full Time MSc Degrees in Computer Science, Aberystwyth, United Kingdom

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Aberystwyth University Department of Computer Science
Distance from Aberystwyth: 0 miles
The Department of Computer Science at Aberystwyth has a strong research focus on techniques and applications of intelligent systems, working with many major companies. Read more

About the course

The Department of Computer Science at Aberystwyth has a strong research focus on techniques and applications of intelligent systems, working with many major companies. Our taught Masters degrees draw on this focus, and link to the expertise and interests of the Department. They are designed to meet the needs of both students wanting a foundation for a career in research, and those wanting to expand on their skills to accelerate their industrial career.

Contemporary software is frequently developed to function in distributed systems. Applications are deployed across multiple computers, interacting to provide services and to solve problems in a distributed way. This Masters course is suitable for students intending to pursue a career in the software industry, and is a qualifying Masters Degree for Chartered Engineer status. It can also lead to a career in research.

The course in Software Engineering is a two year full-time programme. This degree is the same as the one year MSc in Computer Science (Software Engineering) - G493, with the addition that the student spends a year working in industry after the taught part of the course.

Year one of the course is divided into two parts over three semesters. In part one, you will establish a breadth of necessary skills in a number of core modules whilst directing your own study by choosing specialist modules, worth a total of 120 credits. In part two, you will apply your learning in the individual dissertation worth an additional 60 credits.

Previous study topics have included: Transmission of MIDI music over internet connection, Designing a network intrusion detection system, Online results and statistics using web service technology, Supply chain management system applications and Prototype railway track measurement system.

Whatever your own previous experience or future aspiration, with this course you will benefit from the marvellous integration of cutting-edge theory and practical application, within a world-class department. The most recent Research Excellence Framework (2014) assessment found that 100% of the impact research the department of Computer Science undertakes is world leading.

Course content

Year 1

Core modules:

Advanced Software Engineering
Machine Learning for Intelligent Systems
Mobile Solutions

Optional modules:

Enterprise Systems Development
Fundamentals of Intelligent Systems
Internet Technologies
Research Skills and Personal Development for Scientists
Statistical Concepts, Methods and Tools
The Object Oriented Programming Paradigm
Research Skills and Personal Development for Scientists (1520)

Year 2

Core modules:

MSC Project
Sandwich Year (PG)

Optional modules:

Statistical Concepts, Methods and Tools

Contact time

Approximately 12 hours a week in the first two semesters. During semester three you will arrange your level of contact time with your assigned supervisor.

Assessment

The taught part of the course is delivered and assessed through lectures, student seminars, practical exercises, case studies, course work and formal examinations. The subsequent successful submission of your research dissertation leads to the award of an MSc.

Industrial Year

This degree is the same as the one year MSc in Computer Science (Software Engineering), with the addition that the student spends a year working in industry after the taught part of the course.

• Students study at Aberystwyth University from September to May, and are supported in applying for suitable jobs in the software
industry.
• They work in the UK from June to the following May.
• They return to Aberystwyth to complete their dissertation from June to September

The work in industry is paid employment, not just work experience. Typical annual salaries for an industrial year are between £11,000 and £15,000.

Students wishing to do the industrial year are assisted in finding a place in industry. There is assistance with preparing an appropriate CV, training in what to expect at an interview, and practice in being interviewed by experienced industry interviewers. The Department of Computer Science sends about 70 students each year for a year's experience in industry, and has many contacts in companies enthusiastic to take good students from Aberystwyth University.

As these are paid jobs for companies, we cannot guarantee any student a job - the companies select the employees they want. Students that are unable to find a job can complete the Masters degree without an industrial year.

There is an additional but much reduced fee for the year in industry (presently £800 for the year), and members of staff stay in touch electronically and by visiting students during the year.

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Aberystwyth University Department of Computer Science
Distance from Aberystwyth: 0 miles
This degree is ideal for anyone with a first degree in any Computing subject who wishes to accelerate their career as a software engineer. Read more

About the course

This degree is ideal for anyone with a first degree in any Computing subject who wishes to accelerate their career as a software engineer. It broadens your experience of the tools, methods and techniques used by professional software engineers, and focuses on the application of advanced software engineering, preparing you for responsible positions in the software industry.

It is available as a one year intensive course, or as a two year course, where the student spends a year gaining valuable experience in the software industry after the taught part of the degree, and can apply that experience to their final dissertation project. It can also be taken part-time.

The degree is accredited by BCS, The Chartered Institute for IT for the purposes of fully meeting the further learning academic requirement for registration as a Chartered IT Professional (CITP). This course also partially meets the Engineering Council's academic requirement for registration as a Chartered Engineer (CEng).

The most recent Research Excellence Framework (2014) assessment found that 100% of the impact research the department of Computer Science undertakes is world leading.

Course structure and content

Core modules:

Advanced Software Engineering
MSC Project
Machine Learning for Intelligent Systems
Mobile Solutions

Optional modules:

Enterprise Systems Development
Fundamentals of Intelligent Systems
Internet Technologies
Research Skills and Personal Development for Scientists
Statistical Concepts, Methods and Tools
The Object Oriented Programming Paradigm
Research Skills and Personal Development for Scientists (1520)

Contact time

Approximately 12 hours a week in the first two semesters. During semester three you will arrange your level of contact time with your assigned supervisor.

Assessment

The taught part of the course is delivered and assessed through lectures, student seminars, practical exercises, case studies, course work and formal examinations. The subsequent successful submission of your research dissertation leads to the award of an MSc.

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Aberystwyth University Department of Computer Science
Distance from Aberystwyth: 0 miles
Year 1 Core (180 Credits). You must take the following modules. Semester 1. CHM5720 Internet Technologies. CSM2120 The Object Oriented Programming Paradigm. Read more
Year 1 Core (180 Credits)

You must take the following modules

Semester 1

CHM5720 Internet Technologies

CSM2120 The Object Oriented Programming Paradigm

CSM6120 Fundamentals of Intelligent Systems

Semester 2

CHM1320 Advanced Software Engineering

CSM2220 Mobile Solutions

CSM6420 Machine Learning for Intelligent Systems

Semester 3

CHM9360 MSC Project

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Aberystwyth University Department of Computer Science
Distance from Aberystwyth: 0 miles
Data Science is a rapidly growing interdisciplinary area, with applications in business, government, public health, and the sciences. Read more
Data Science is a rapidly growing interdisciplinary area, with applications in business, government, public health, and the sciences. Its applications range from identifying customers’ buying patterns and monitoring machinery to tracking the spread of a disease and logging and improving an individual's health. There is therefore a huge unfilled demand for graduates with skills in ‘Big Data’.

Why study MSc Data Science at Aberystwyth University?

Aberystwyth University is a top 50 university for research power and intensity – REF 2014

Opportunity to study in Departments with links to many major companies and a strong research focus

Opportunity for graduates of any discipline to significantly enhance their employability

Opportunity to apply the knowledge from this course to other areas, including your initial undergraduate discipline

100% of the Department of Computer Science’s research was deemed either world-leading or internationally excellent in terms of research impact – REF 2014

98% of the Department of Computer Science’s research, and 100% of the Department of Mathematical Sciences’ research was of an internationally recognised standard or higher – REF 2014

Aberystwyth Department of Computer Science graduates exceed the national subject area average for employability

Our taught masters degrees are designed to meet the needs both of students intending a career in research, and those who want to accelerate an industrial career

Course Structure

This course can be taken as a full-time one year course and can also be taken part-time. When taken full time, the course is divided over three semesters.

During the first two semesters (September to May) students complete 120 taught credits. The third semester (June to September) is given over to the MSc project and dissertation (60 credits). Contact time for this course is approximately 12 hours a week in the first two semesters.

During semester three, you will arrange your level of contact time with your assigned supervisor. The taught part of the course is delivered through lectures, student seminars and practical exercises.

Course content

In the first two semesters you will undertake a number of core modules. These module include:

- Machine Learning for Intelligent Systems
- Applied Data Mining (offered by the Department of Computer Science)
- Statistical Techniques for Large Data Sets (offered by the Department of Mathematics). This provides excellent opportunities to benefit from expertise in both departments.

In the third semester, you will complete a supervised master’s project and dissertation, worth 60 credits.

Assessment

Assessment is a mix of written assignments, programming assignments, practical portfolios, practical examinations and written examinations. The successful submission of your research dissertation in semester three leads to the award of an MSc.

Skills

Throughout this course, students will develop skills, qualities, and expertise that will make them extremely marketable to employers.

On this course you will:

Develop specialised technical skills in the areas of data handling, data management, data analytics and data mining, relational modelling, cryptography, and system security

Develop subject-specific expertise, including an awareness of the legal, social, ethical and professional issues involved in handling data, and knowledge of statistical techniques and methods for large data sets

Develop study and research skills

Enhance your problem solving and analytical abilities

Enhance your communication skills through a diverse mixture of learning and assessment methods

Careers

The range of careers to which our graduates advance is vast and continuously expanding. Examples of pathways our previous graduates have taken include working for/ as:

Google
MarkLogic
Investment banks
Product Managers
setting up their own companies
Developing careers in research

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The scheme is designed to introduce key, practice-based skills in statistics for Computational Biology. You will contribute knowledge to the design of Biological experiments to ensure that appropriate statistical analysis of experimental data is possible. Read more

About the course

The scheme is designed to introduce key, practice-based skills in statistics for Computational Biology. You will contribute knowledge to the design of Biological experiments to ensure that appropriate statistical analysis of experimental data is possible.

You will learn how to critically evaluate the application of specific statistical techniques to research problems in Computational Biology and then effectively interpret and report the results of analyses.

This master’s degree is all about computational biology and statistics and will be of interest to students that are looking for the minimum entry-level qualification for many excellent employment opportunities in pharmaceuticals, advanced agriculture and in public health.

The course is a collaboration between the departments of Computer Science, Maths and also the Institute of Biological Environmental and Rural Science. The study scheme will bring the departments together in research-led teaching in these areas and you will benefit from expertise and insight from these highly specialised departments. In the most recent Research Excellence Framework assessment (2014) it was found that 95% of the universities research was of an internationally recognised standard or higher.

Course structure and content

The duration of the course is twelve months full-time or 24 months part time. The academic year (September to September) is divided into three semesters: September to January; January to June; June to September. The course is available as a postgraduate certificate or diploma and can be taken part-time. Students must contact the department to discuss these options.

Core modules:

Frontiers in the Biosciences
Programming for Scientists
Research Skills and Personal Development for Scientists
Statistical Concepts, Methods and Tools
Machine Learning for Intelligent Systems
Research Skills and Personal Development for Scientists (1520)
Statistical Techniques for Computational Biology

Optional modules:

Dissertation

Contact Time

Approximately 10-14 hours a week in the first two semesters. During semester three you will arrange your level of contact time with your assigned supervisor.

Assessment

The programme comprises 180 credits. There are 120 credits of taught modules completed during Semester 1 and Semester 2. This is followed by a research dissertation (60 credits) in semester 3.

This degree will suit you:

- If you already have a background in one of biology, maths or computing and now want training in this exciting interdisciplinary area to enhance your current skills.

- If you have a high 2:2 degree or higher in a related discipline

- If you wish to gain academic expertise and practical experience in Computational Biology.

- If you wish to enter a career in Statistics for Computational Biology with opportunities to work in pharmaceuticals, advanced agriculture and public health.

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This highly interdisciplinary Masters course will expose you to the cutting edge of understanding in Remote Sensing and GIS. Read more

About the course

This highly interdisciplinary Masters course will expose you to the cutting edge of understanding in Remote Sensing and GIS. Administered by the Department of Geography and Earth Sciences, but accessing interdepartmental expertise, this course will provide you with both a strong theoretical and conceptual background and vocational training in Remote Sensing and GIS. You will be taught by lecturers who are active researchers working at the cutting edge of their disciplines, and will benefit from being taught the latest geographical theories and techniques. Graduates of this course progress to a wide range of employment positions in both the industry and academia.

Why study MSc Remote Sensing and GIS at Aberystwyth University?

• Study in a high quality outdoor physical environment and multi-national community

• The Department of Geography and Earth Science is top in Wales, with 78% of its research classified as either ‘world leading’ or ‘internationally excellent’ - REF 2014

• Aberystwyth DGES is in the top ten of UK Geography departments with regards to research power, which provides a measure of the quality of research, as well as of the number of staff undertaking research within the department

• DGES receives funding from organisations such as United Nations, WHO and the European Research Council

• Students have access to a dedicated computer laboratory for research in GIS and remote sensing which is fully equipped with the latest software platforms.

• Masters students have the opportunity to participate in significant meetings and conferences, such as the Remote Sensing and Photogrammetry Society Annual Conference

• This course has a strong vocational aspect and offers an integration of cutting-edge theory and practical application

• Remote Sensing Masters are offered through the collaboration of three world-class institutes at the university, giving students access to this collective expertise and experience as well as to superb departmental facilities

Course structure and content

In the first two semesters you will undertake a number of core modules, worth a total of 120 credits. This includes modules on Remote Sensing Issues and the Fundamentals of Remote Sensing and GIS, alongside modules on Advanced Research Skills, Skills in Remote Sensing, and Work Experience in Geographical Information Systems/Remote Sensing.

In the third semester, students will undertake the independent research component of the course, and will complete a 60 credit Research Dissertation in Geographical Information Systems/Remote Sensing.

Core modules:

Advanced Research Skills 1: science communication and data analysis
Advanced Research Skills 2: research design and data acquisition
Fundamentals of Remote Sensing and GIS
Remote Sensing Issues
Research Dissertation in Geographical Information Systems/Remote Sensing
Skills in Remote Sensing
Work Experience in Geographical Information Systems/Remote Sensing

Contact Time

Approximately 8-10 hours a week in the first two semesters. During semester three you will arrange your level of contact time with your assigned supervisor.

Assessment

The taught part of the course (Part 1) is delivered and assessed through lectures, student seminars, practical exercises, case studies, course work and formal examinations. The subsequent successful submission of your research dissertation (Part 2) leads to the award of MSc.

Careers

Our alumni have taken positions with UK and international government bodies, private enterprises and leading research establishments. This MSc in Remote Sensing and GIS will open up a diverse range of careers for its students.

By studying this course, you will be a highly competent contributor to any work relating to:

• climate change
• human impacts on terrestrial ecosystems
• glaciology
• hydrology
• forestry
• coastal change
• carbon cycle science
• biodiversity
• consultancy

Skills through this programme you will enhance your:

• Presentation and communication skills
• Research and study skills
• Field expertise and data collection skills
• Critical analysis and evaluation
• Academic and practical knowledge
• Understanding of scientific processes and advanced technical tools
• Confidence with GIS and remote sensing software systems, technologies and programming languages
• Project management skills

Field Trip

As a highly practical Masters course, it offers also the opportunity for students to gain hands-on experience in the use of field equipment and the collection of ground truth data to support the interpretation and analysis of remote sensing and GIS datasets. This will allow you to covert the academic theory of research and data collection into the proven know-how of experience.

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