Course summary
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. How you will learn You'll engage in both independent and collaborative work, participating in projects and presentations, including the creation of your own computer game. You will develop your critical thinking skills, and various projects will enhance your communication and teamwork abilities. This multifaceted approach is crucial for preparing you for the workplace, where technical expertise, effective communication, and collaboration are highly valued. This course will also provide you with a comprehensive understanding of the ethical dimensions associated with artificial intelligence. This includes exploring the responsible use of AI, addressing potential biases, and navigating the societal implications of emerging technologies. The main subject areas explored and developed throughout the postgraduate programme are:
- AI: Vision and Reality
- Machine Learning
- Mathematics for AI
- Multi-agent System and Strategic Decision Making
- Research Methods and Professional Practice
- Deep learning
- Robotics and Autonomous Systems
- Computational Intelligence
- Data mining
- Dissertation
Modules
Please see our course page for more information
Assessment method
Students are assessed on this course through a range of methods, mainly through coursework, reports, and presentations there are minimal exams on for this postgraduate degree.
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.
Fees and funding
Tuition fees
No fee information has been provided for this course
Tuition fee status depends on a number of criteria and varies according to where in the UK you will study. For further guidance on the criteria for home or overseas tuition fees, please refer to the UKCISA website .
Additional fee information
Please see our website for details
Provider information
Aston University, Birmingham
Aston Triangle
Birmingham
B4 7ET