Aston University - MSc Artificial Intelligence

Aston University

MSc Artificial Intelligence

The field of artificial intelligence is rapidly expanding, which is evident in everyday life. Studying in this particular field will not only provide a competitive advantage in the job market but will also equip you with the valuable skills that are sought after by employers.

Did you know Aston University is known for its early specialisation in machine learning and AI since 1990? This course is led by a team of dynamic research academics and designed to enhance the skillsets of computer science undergraduates, positioning them for success in the evolving landscape of AI and machine learning.

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 a 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 before the offer decision.

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 before 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.

See international student information below for international equivalent information.

Career Prospects


Course Details


Our MSc in Artificial Intelligence empowers students with cutting-edge knowledge, hands-on experience, and industry insights to help propel them with careers in AI innovation.

What we will provide

In addition to having the opportunity to connect with leading researchers, and being taught by industry experts, you will receive a high-performance laptop to keep. This ensures that you have all the essential tools needed to excel in this master's degree program. Developed in collaboration with the Institute of Coding, this course aims to eliminate obstacles to digital learning and employment.

What you will provide

For this course, we are looking for individuals with a keen interest and enthusiasm to delve into the latest technological advancements and artificial intelligence. If you aspire to build a career in AI, possessing the determination and passion to push the boundaries in both learning and collaborative work across various subject areas is essential.


What skills we teach

We will 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.


Professional Practice Year

If you meet satisfactory academic performance and have secured a suitable professional experience, you will have the option to be transferred onto our MSc Artificial Intelligence including Professional Practice programme. Taking the Professional Practice route allows you to extend the duration of your Masters to 22 months and gain valuable working experience to support your career aspirations. The placement commences after the completion of your MSc dissertation and can be paid work. study abroad exchanges or unpaid research projects or even a mix of these options. You will return to Aston the following May for an intensive period on campus to draw all your learning together and finalise the assessments.


Career prospects

The career prospects within AI are limitless with many companies constantly expanding their business relationship with Artificial Intelligence. Previous graduates have gone on to successful positions such as Technology engineers, Data analysts, Programmers and AI Data engineers. With AI being such a new and ever-growing area, you can also look to further your education as a PHD student focusing on research.




Taught stage core Modules

AI: Vision and Reality 15
Machine Learning 15
Mathematics for AI 15
Multi-agent Systems and Strategic Decision Making 15

Taught stage optional modules:

Choose 3 out of the following optional modules:
Computational Intelligence 15
Deep Learning 15
Robotics and Autonomous Systems 15
Data Mining 15

Dissertation Stage

Dissertation 60
Total 60

*The information’s are correct at the time of publishing, however it may change if university makes any changes after we have published the information. While we try our best to provide correct information, It is advisable to call us or visit university website for up to date information.

Are you ready to start building your future?

Contact our admission counseller and get a free consultation.