MSc

Artificial Intelligence

Key Facts

Course Code G790
  • Qualification

    MSc

  • Typical Course Length

    1 Year

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Artificial Intelligence is changing the way we live. Applications permeate all aspects of our lives, ranging from health and social care through fraud prevention and computer games to digital assistants. The MSc Artificial Intelligence at Aberystwyth University will give you an opportunity to study machine learning and computational intelligence, applied data mining, and statistical concepts, methods and tools. 

Examples of current and emerging artificial systems include home robots (for entertainment or assisting those with special needs), supply chain management systems, robots used in medical practice, robots in space, on land and at sea.Researchers from Aberystwyth have been active in all these areas.

Overview

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.

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

Our Staff

Almost all of the Department of Computer Science Lecturers and Teaching Fellows are qualified to PhD level, and those who are not have considerable research or industrial experience. All new Lecturers and Teaching Fellows are required to obtain the PGCTHE, and hence are Senior Fellows or Fellows of the Higher Education Academy. The department also employs a number of part time demonstrators and tutors and some student demonstrators, who are selected from our undergraduate and postgraduate students. Research fellows and research assistants (mostly PhD qualified) may also be involved in delivering occasional teaching when it is appropriate.

All lecturers in the Department of Mathematics are qualified to PhD level and are research active. The majority have a postgraduate teaching qualification and new staff are required to complete the PGCTHE. The department also employs a number of part time tutors, with extensive teaching experience, and some student demonstrators, who are selected from our undergraduate and postgraduate students.

Course Details

Duration:              

This course can be taken as a one year course, or as a two year course incorporating professional experience. It can also be taken part-time.

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.

Entry Requirements:

The minimum entry requirement for this MSc is a second class honours in Computer Science, Software Engineering or a related subject.  This should include programming in a language like Java, C or C++.  Sometimes it may be possible to substitute industrial experience (supplemented by preliminary study) for these academic qualifications. 

English Language Requirements:    

If you have a Bachelor’s degree from a UK University, you do not need to take an English proficiency test.

Non-native English speakers who do not meet this requirement must take a University-recognised test of academic English language proficiency. For further information please see our English Language requirements page.

Course Fees:

Please see the tuition fee pages for current tuition fees. Please note that all fees are subject to an annual increase.

Funding:

Possible funding opportunities can be found in our funding calculator.

Modules

Please note: The modules listed below are those currently intended for delivery during the next academic year and may be subject to change. They are included here to give an indication of how the course is structured.

  • You must take the following modules:
  • You must take the following module:

Employability

By studying this course, you'll develop specialised technical skills in the areas of intelligent systems, deep learning, big data and computational intelligence. 

The range of careers to which our graduates advance is vast and continuously expanding.  Recent graduates have found employment with companies such as Google and MarkLogic, and investment banks. Some have become product managers, and others have set up their own companies.