MSc

Artificial Intelligence

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.

Typical Entry Requirements

Entry Requirements 2:2 Bachelors (Honours) degree in a relevant subject area, or equivalent.  Non-graduates will be considered individually based on relevant work experience.

English Language Requirements IELTS 6.0 with minimum 5.5 in each component, or equivalent

Other Requirements Applicants are encouraged to submit an up-to-date CV as part of their application.

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Course 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.

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.

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.

Core

Module Name Module Code Credit Value
Applied Data Mining CSM6720 20
Computational Intelligence CSM6520 20
Dissertation CSM9060 60
Fundamentals of Intelligent Systems CSM6120 20
Machine Learning for Intelligent Systems CSM6420 20
Statistical Concepts, Methods and Tools MAM5120 20

Options

Module Name Module Code Credit Value
Internet Technologies CHM5720 20
Modelling, Managing and Securing Data CSM3120 20
Programming for Scientists CSM0120 20

* Also available partially or entirely through the medium of Welsh

Careers

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.