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Biomedicine with AI

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

Course summary

Biomedicine is entering a new era of digital transformation, with Artificial Intelligence (AI) revolutionising how we diagnose, monitor, and treat human health conditions. Our BSc (Hons) Biomedicine with AI degree gives you a solid foundation in life sciences while showing you how cutting-edge AI technologies are advancing our understanding of the human body and driving innovation in healthcare.

You’ll start by building core knowledge in biomedicine alongside practical skills in coding and AI system development, learning how to apply artificial intelligence in real-world healthcare contexts. The course also explores the ethical, legal, and professional challenges of integrating artificial intelligence into biomedical practice, equipping you to use these technologies responsibly and effectively.

Taught by leading academics, the program blends technical training with transferable skills, preparing you to bridge the gap between biomedicine and AI. You’ll get hands-on laboratory experience and work on projects shaped by our active researchers. There’s also the option to take a placement year, helping you build the skills and confidence to thrive in a fast-changing world.

By the time you graduate, you will be ready to join the growing demand for professionals who can harness digital technologies to transform healthcare, prevent disease, and improve patient outcomes.

Features and Benefits

  • Gain interdisciplinary expertise. Build a strong foundation in life sciences while mastering coding, data science, and AI system development.

  • Graduate ready for the future. Build advanced skills in the exciting and fast-growing field of artificial intelligence and stand out to employers seeking future-focused talent.

  • Professional study environment. Study in our £115m Dalton building, designed for collaboration, innovation and world-class learning and research.

  • Study in a city of science. Manchester leads the UK in AI readiness and is home to world-class research institutions, biotech companies and the new national AI Campus.

  • Placement opportunities. This full-time, four-year route provides the opportunity to go on a placement, where you can get a taste of professional life in a clinical or industrial setting.

  • Flexible learning support. Access regular online support, which provides additional explanations and guidance on a range of topics, including lab demonstrations and assessment guidance.

How to apply

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:
BMA1
Institution code:
M40
Campus name:
Main Site
Campus Code:
-

Points of entry

The following entry points are available for this course:

  • Year 1

Entry requirements

UCAS Tariff
112 - 120 points

A level
BBC

To include minimum grade C in Biology or Human Biology (with a Pass in the
Practical Assessment).

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

Pearson BTEC Level 3 National Extended Diploma (1080) in Applied Science

Pearson BTEC Extended Diploma (QCF) in Applied Science.

Access to HE Diploma

Pass Access to HE Diploma in Science with a minimum score of 106 UCAS Tariff points.

International Baccalaureate Diploma Programme
26 points

- to include HL 5 in Biology and HL 4 or SL 5 in English and Mathematics.

GCSE grade C/4 or above in English Language or Pass in Level 2 Functional Skills English

and

GCSE grade C/4 or above in Mathematics or Pass in Level 2 Functional Skills Mathematics.

The level 2 requirements may also be met through the level 3 course requirements for the course; please contact the University directly if you require further information.

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

This section shows the range of grades that students who received offers were previously accepted on to this course 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-biomedicine-with-ai/september-2026#fees

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