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AI and Data Science

Course details
  • BSc (Hons)
  • 3 Years
  • Full-time
  • 28/09/2026
  • Undergraduate
Course location
Main Site

Course summary

Our BSc (Hons) AI and Data Science course will provide you with specialist technical knowledge as well as analytical, logical thinking and problem-solving skills to ensure you’re ready to make a difference in this rapidly developing sector.

During your time here, you will be taught in specialist laboratories that are equipped high-performance computers and the latest industry-standard software. You will also benefit from our strong industry links, thanks to being located in a city, with one of the biggest creative and digital sectors in the UK.

This course has been carefully structured so that you will build the knowledge and skills to acquire, curate, manage, analyse, and make inferences from big data for solving real-world problems. Study with us and you’ll gain essential, transferable computational and statistical thinking skills to create and deploy data-driven products. By the end of your time here, you’ll have the confidence for solving challenges in a range of potential data-rich application domains, including medicine, health, climate, transportation, marketing and sales.

FEATURES AND BENEFITS

  • Specialise in the exciting and fast-growing fields of artificial intelligence and data science, gaining knowledge and skills that are highly valued by an array of tech companies.

  • You will study a curriculum designed with industry in mind to equip you with the range of skills and strengths that employers demand.

  • The four-year placement route gives you the opportunity to spend your third year on an industry placement, boosting your employment prospects on graduation. This may be subject to availability.

  • We’ve invested over £115 million to transform the way we teach and the way our students learn. The new Dalton building is equipped with dynamic learning spaces, world-class teaching and research facilities and collaborative study zones. This means you’ll graduate with the skills and experiences employers look for.

  • You will experience what it's like to work as part of a professional team, finding solutions to complex problems via group projects. You can also get involved with extracurricular work to further apply your skills, such as hackathons, gaming events and the Students’ Union computing society.

  • Our excellent facilities include teaching laboratories equipped with high-specification PCs with specialist, industry-standard software running on either Windows or Linux.

  • Our dedicated drop-in lab provides an informal social working space with regular support sessions from our programme support tutors.

How to apply

This course is not accepting applications at this time. Please contact the provider to find out more.

Apply by
14 January

This is the deadline for applications to be completed and sent for this course. If the university or college still has places available you can apply after this date, but your application is not guaranteed to be considered.

Application codes

Course code:
G5AI
Institution code:
M40
Campus name:
Main Site
Campus Code:
-

Points of entry

The following entry points are available for this course:

  • Year 1

Open days

Entry requirements

Qualification requirements

UCAS Tariff

Please note that offers for this course are typically made based on grades rather than the UCAS tariff, dependent on the qualifications presented.

A level - BBB

GCE A levels - grades BBB, to include minimum grade B in one of the following subjects: IT, Computer Science, Mathematics, CCEA Digital Technology, Software Systems Development or a science subject.

Pearson BTEC Level 3 National Extended Diploma (first teaching from September 2016) - DDD

BTEC Level 3 National Extended Diploma in IT or Computing accepted

Access to HE Diploma

122 UCAS tariff points in Access to HE Diploma in one of the following subjects: ICT, Computing, IT, Science or Mathematics.

International Baccalaureate Diploma Programme - 30 points

Pass IB Diploma with 30 points overall, or achieve minimum 120 UCAS Tariff points from three Higher Level subjects. To include HL 5 in Computing, IT, Mathematics, Chemistry, Physics or Biology. If you plan to meet the Level 2 requirement through the IB Diploma you will require HL 4 or SL 5 in English Language/English Language and Literature, and HL 4 or SL 4 in Mathematics

OCR Cambridge Technical Extended Diploma - DDD

CTEC Level 3 Extended Diploma in Computing or IT

T Level - M

T level in Digital Production, Design and Development or Digital Business Services with overall grade of Merit. T levels in Digital Support Services or Science will be considered on a case-by-case basis.

GCSE grade C/4 or equivalent in English Language

GCSE grade C/4 or equivalent in Mathematics

Contextual admissions

Universities and colleges consider more than grades when assessing applications and may make offers based on a range of criteria. Learn more about contextual offers.

At Manchester Met, our mission is to recruit ambitious students from all backgrounds and to inspire and support them to achieve their potential. Where applicants with WP flags receive an offer but don’t quite meet conditions, we may be able to look again at these applications. Where we are unable to offer a place on a chosen course, we may seek to make an alternative offer. For further information please click the link below.

Learn more on the Manchester Metropolitan University website

Historical entry grades data BETA

This section shows the range of grades students (with UK A-Levels or Pearson BTEC Level 3 National Extended Diplomas) who received offers were previously accepted with (learn more). It is designed to support your research but does not guarantee whether you will or won't get a place. Admissions teams consider various factors, including interviews, subject requirements, and entrance tests. Check all course entry requirements for eligibility.

Not enough data available

We are unable to show previous accepted grades for this course. This could be because the course is new, it's a postgraduate course, there isn't enough historical data, or the provider has opted out of sharing their entry grades data for this course - learn more.

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

https://www.mmu.ac.uk/study/undergraduate/course/bsc-ai-and-data-science/september-2026#fees

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