Artificial Intelligence (including Professional Practice) (Taught)

Course summary

Artificial Intelligence is at the cutting edge of technology and its potential applications are almost limitless. From developing robots that help people in their own homes to using AI in modelling and managing serious health conditions, it is changing the way we live. There is no doubt that this rapidly growing area of computer science will be at the centre of technological advances in the future. Our Artificial Intelligence masters is taught by a team of active researchers, so you’ll benefit from their ongoing work and be taught the latest techniques on this interactive course. This course was developed with support from the Institute of Coding to help break down barriers to digital learning and employment. The difference between this course and the MSc Artificial Intelligence course is that this one features a professional placement. Students are responsible for finding their own work placement, with the help of our award-winning Careers and Placements Team, who have helped so many of our students to secure placement and work opportunities. Aston is 3rd in the UK for the number of students taking a sandwich year (HESA 2018), showing just how much we encourage students getting professional experience and how successful we are at enabling them to secure work placements. Take a look at our specific placement information and support. Please find more about the time frame under ‘Learning, teaching and assessment’. What you’ll learn We'll teach you the specialist, technical information you need, and you'll develop your ability to create ethical, well-justified and appropriate AI solutions to real-life challenges. With an emphasis on practical experience, you’ll have the opportunity to design and plan, implement, test, evaluate and document your solutions, preparing you for future challenges as you develop your career. You’ll work on your own and as part of a team on projects and presentations, including one to design your own computer game. The different projects will enable you to develop your communication and team working skills alongside your technical expertise, which is important as you enter the workplace.

Modules

Core Modules • AI: Vision and Reality • Machine Learning • Mathematics for AI • Multi-Agent Systems and Strategic Decision Making • Research Methods and Professional Practice • MSc Major Dissertation Choose 3 out of the following options: • Computational Intelligence • Deep Learning • Robotics and Autonomous Systems • Data Mining You will complete all of these modules apart from your Major Dissertation across 2 terms (September until Easter). You will work on your Major Dissertation until the following September. This course also contains a Professional Practice placement which will take place after you've completed the dissertation, and will last for 9 months. International students undertaking this course will be offered a visa for the full duration of the course lasting 22 months.

Assessment method

The course will be assessed through a combination of exams, coursework and practicals.

Entry requirements

We expect applications from graduates of BSc with honours in Computer Science or related disciplines with a qualification equivalent to UK 2:2 or higher. Evidence of knowledge of Mathematics and Programming foundations should also be provided when the degree is not in Computer Science (i.e. transcript of degree programme or work experience). When a transcript is provided, the Mathematics and Programming grades should be equivalent to UK 60% or higher. Candidates may be interviewed prior to the offer decision.

Fees and funding

Tuition fees

England	£10800	Year 1
Northern Ireland	£10800	Year 1
Scotland	£10800	Year 1
Wales	£10800	Year 1
International	£22750	Year 1

Additional fee information

No additional fees or cost information has been supplied for this course, please contact the provider directly.

Sponsorship information

You can find out more about our Postgraduate scholarships for international students. If you are a UK or EU student, please email [email protected] for information on funding. The information contained on this website details the typical entry requirements for this course for the most commonly offered qualifications. Applicants with alternative qualifications may wish to enquire with the relevant admissions teams prior to application whether or not their qualifications are deemed acceptable. For less commonly encountered qualifications this will be judged on a case-by-case basis in consultation with the academic admissions tutor.