University course · real outcomes from HESA / Discover Uni · part of Careermash
University degree

AI and Data Science

Manchester Metropolitan University · Manchester
Qualification
Degree
Length
3 yrs
UK fees / yr
£9,535
Study
full-time
Robin · your guide
Here's the honest picture on this course - what you'd study, whether you'd likely get in, what it pays, and where it leads. Everything's real data.
About this course

Artificial intelligence and data science together represent two of the most transformative fields in contemporary technology. AI is the study and development of systems that can perform tasks that would typically require human intelligence, from recognising images and understanding language to making predictions and playing games. Data science provides the methods to collect, clean, analyse, and interpret the large datasets that power these systems and that organisations increasingly use to make decisions.

Together, they form a discipline with broad application across virtually every sector of the economy.

Manchester Metropolitan University's three-year full-time BSc AI and Data Science degree has a typical entry tariff of 104 points and includes a sandwich year and work placement opportunities, giving you the chance to gain professional experience in the technology or data sector before you graduate. As the course itself describes, you will develop specialist technical knowledge as well as analytical, logical thinking, and problem-solving skills to prepare you to make a difference in this rapidly developing sector. You will study machine learning, programming, data engineering, statistical analysis, neural networks, natural language processing, and the ethical and social dimensions of AI, building both the technical foundation and the broader understanding needed to work responsibly and effectively in this field.

AI and data science graduates are in strong demand across technology companies, financial services, healthcare, retail, logistics, public services, and media. Common roles include data scientist, machine learning engineer, AI developer, data analyst, and data engineer. Many graduates also move into research roles or continue to postgraduate study, where specialisation in areas such as deep learning, computer vision, or natural language processing opens doors to some of the most technically advanced positions in the industry.

The breadth of potential applications means that graduates with strong foundations in both AI and data science can follow their interests into almost any sector.

Could you get in?
The grades students arrived with
64-79 pts10%
80-95 pts25%
96-111 pts15%
112-127 pts25%
128-143 pts5%
144-159 pts10%
160-175 pts5%
How they qualified
95% got in with A-levels. The rest came in a mix of ways:
A-levels95%
an Access course5%
Could I get in? Try your grades
120 UCAS pts
Pay & prospects
80%
In work or further study after
90%
Continue past first year
81%
Student satisfaction
What graduates earn over time
£25,500
3 years on
£31,000
5 years on
What graduates actually go on to do % of leavers
Information Technology ProfessionalsHighly skilled40%
Elementary occupations10%
Administrative occupations5%
Science, engineering and technology associate professionalsHighly skilled10%
Business and public service associate professionalsHighly skilled10%
Skilled trades occupations5%
Natural and social science professionalsHighly skilled5%
Caring personal services5%
What students say National Student Survey
81%
of students are satisfied with the course overall
Teaching81%
Assessment & feedback85%
Academic support81%
Well organised79%
Learning resources72%
Student community74%
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Where this degree can lead
Like the look of it?
When you're ready, the full entry requirements and application are on Manchester Metropolitan University's own site.
Apply on uni site
Careermash · real course data from HESA / Discover Uni, in plain English.

Career data: role, pay and progression profiles built for Careermash's careers engine; AI-impact estimates from Anthropic's observed AI-usage telemetry and OpenAI's AI Jobs Transition Framework. Course data: HESA / Discover Uni, including Graduate Outcomes, LEO and the National Student Survey. Apprenticeships: IfATE-published standards, approved only.

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