From breakthroughs in medical decision making to previously unimaginable forecasting capabilities, machine learning has changed how we approach problem-solving forever. On this master’s course, you will take your understanding to new depths – investigating both the theory and practice of this revolutionary approach.
Your study spans a diverse yet in-depth set of modules, encompassing deep neural network architectures, language learning models, and cognitive humanoid robots. With our MSc Artificial Intelligence students, you will study both i) The Fundamentals of Machine Learning and ii) AI and its Applications, however you will also explore iii) Decision Making Under Uncertainty - a key concept when making decisions based on predictive models.
During your time with us, you will follow 75% of core taught material whilst also enjoying a wide choice for tailoring the remainder of your study with optional units. You may find one of the most rewarding elements of your course is your Master’s Project, which enables you to carry out a substantial technical task which truly focuses in on your area of interest.
As you depart this course as a well-trained postgraduate, you will find you have a widely applicable skillset – providing you with both the gift of choice and in a workplace where there is strong demand for machine learning skills.
Flexibility You will follow three specialised themes, each of which combines two related course units, and choose a fourth theme from a wide range of options.
Strong links with employers We maintain close relationships with potential employers and run various activities throughout the year, including career fairs, guest lectures, and projects run jointly with partners from industry.
Excellent facilities You will have access to a fantastic range of facilities and equipment. In the Kilburn Building, our hub of Computer Science, this includes our hardware library – equipped with everything from basic electronic components to VR headsets and drones. You can also study in and benefit from Our Home for Engineering and Materials .
Welcoming community You can join some of the various student societies, such as the Manchester University Data Science Society, UniCS, Sustainable Engineering Initiative, Volunteering and Outreach, Women in Science and Engineering and many more. Meet like-minded people, make new friends, master your subject, and discover just how powerful collaboration can be!
Championing gender diversity It's our priority to make sure students feel seen and supported on their journey, so we're always looking to spotlight and uplift women, non-binary, and otherwise marginalised voices. Get first-hand guidance and insight from students, lecturers, and industry professionals from all different stages of their journey, on our podcast Big Sisters in STEM .
We operate a selective staged admissions process. We give preference to students with the strongest grades from high-ranking institutions.
Successful applicants typically hold a First-class honours degree (70% average) from a UK university, or the overseas equivalent, in a Computer Science degree with a minimum of 50% Computer Science content.
We require that all applicants have a strong background in Computer Science reflected, for example, in solid programming and software development skills.
We accept a range of qualifications, and welcome applications from overseas applicants. A typical successful offer-holder will evidence:
For further information on international entry requirements, please contact pgt.compsci@manchester.ac.uk
Full entry requirements
| QS 综合 | 院校 | 学制 | 学费 |
|---|---|---|---|
| 第 8 位 | 伦敦大学学院University College London | 1年 | 44400英镑/年 |
| 第 111 位 | 南安普顿大学University of Southampton | 1年 | 36800英镑/年 |