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Advanced Computer Science (Artificial Intelligence) MSc

Advanced Computer Science (Artificial Intelligence) MSc

Different course options

Study mode

Full time

Duration

12 months

Start date

SEP-23

Key information
DATA SOURCE : IDP Connect

Qualification type

MSc - Master of Science

Subject areas

Computer Science Artificial Intelligence (Ai)

Course type

Taught

Course Summary

Overview

From software agents used in networking systems to embedded systems in unmanned vehicles, intelligent systems are being adopted more and more often. This Masters degree will equip you with specialist knowledge in this exciting field and allow you to explore a range of topics in computer science.

Core modules will give you a foundation in topics like systems programming and algorithms, as well as the basics of machine learning and knowledge representation. You’ll also choose from optional modules focusing on topics like bio-inspired computing or text analytics, or broaden your approach with topics like mobile app development.

You’ll gain a broad perspective on intelligent systems, covering evolutionary models, statistical and symbolic machine learning algorithms, qualitative reasoning, image processing, language understanding and bio-computation as well as essential principles and practices in the design, implementation and usability of intelligent systems.

Learning and teaching

Our groundbreaking research feeds directly into teaching, and you’ll have regular contact with staff who are at the forefront of their disciplines. You’ll have regular contact with them through lectures, seminars, tutorials, small group work and project meetings.

Independent study is also important to the programme, as you develop your problem-solving and research skills as well as your subject knowledge.

On this course you’ll be taught by our expert academics, from lecturers through to professors. You may also be taught by industry professionals with years of experience, as well as trained postgraduate researchers, connecting you to some of the brightest minds on campus.

Assessment

You’ll be assessed using a range of techniques including case studies, technical reports, presentations, in-class tests, assignments and exams. Optional modules may also use alternative assessment methods.

Career opportunities

Computing is an essential component of nearly every daily activity, from the collection and processing of information in business, through to smart systems embedded in devices, image processing in medical diagnosis and the middleware that underpins distributed technologies like cloud computing and the semantic web.

This programme will give you the practical skills to enter many areas of applied computing, working as application developers, system designers and evaluators. Links between the taught modules and our research provide our students with added strengths in artificial intelligence, intelligent systems, distributed systems, and the analysis of complex data. As a result, you’ll be well-prepared for a range of careers, as well as further research at PhD level.

Graduates have found success in a wide range of careers working as business analysts, software engineers, web designers and developers, systems engineers, information analysts and app developers. Others have pursued roles in consultancy, finance, marketing and education, or set up their own businesses.

Modules

On completion of this module, students should be able to: demonstrate an in-depth comprehension of the topics/issues relevant to the project; select and apply the appropriate research methods for their chosen project area; demonstrate independent application of the knowledge, methods and techniques that he or she has acquired during the MSc programme in producing a solution in the project.

Tuition fees

UK fees
Course fees for UK students

For this course (per year)

12,750

International fees
Course fees for EU and international students

For this course (per year)

28,000

Entry requirements

A bachelor degree with a 2:1 (hons) in computer science. Other Computing based degrees may be considered on a case by case basis. We require all applicants to have studied a breadth of relevant modules including significant programming, systems development, data structures and algorithms, with strong marks across all these modules. Relevant work experience will also be considered.

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