Manchester Metropolitan University
BSc (Hons) Biomedicine with AI
Manchester, United Kingdom
BSc
DURATION
4 years
LANGUAGES
English
PACE
Full time
APPLICATION DEADLINE
EARLIEST START DATE
Sep 2026
TUITION FEES
STUDY FORMAT
On-Campus
* MMU standard home or overseas work placement year fee will apply
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.
Course information
Our BSc (Hons) Biomedicine with AI prepares you for an exciting career at the cutting edge of science and artificial intelligence. You’ll combine a strong understanding of the human body with practical skills in AI, learning how these tools are used to improve diagnosis, develop treatments, and prevent disease.
From the start, you’ll get hands-on experience with real biomedical data - from genetic sequences to medical images - and see how AI can turn that information into meaningful insights that make a difference in research, healthcare, and industry.
Year 1 introduces the essentials: human physiology, anatomy, cell biology, and biochemistry, alongside coding and AI basics. This foundation ensures you understand both the science and the technology shaping modern healthcare.
Year 2 takes your learning further. You’ll explore how diseases are diagnosed and treated, consider the ethical and societal questions around AI, and have the option to take a placement year to gain real-world experience, building confidence and employability before your final year.
When your final year arrives, you’ll complete an independent project, applying AI to a biomedical problem that interests you. It’s your chance to be creative, develop specialist skills, and show future employers what you can do.
Graduates leave ready to step into a growing world of opportunity, combining science and technology to transform healthcare, improve patient outcomes, and shape the future of medicine.
Year 1
In your first year, you’ll explore the foundations of artificial intelligence while developing essential skills in biomedicine. You’ll study human physiology at the organ system level, with integrated learning in anatomy, cell biology, biochemistry and metabolism. You’ll also build core coding and computational thinking skills, equipping you to approach complex biomedical problems systematically.
Core modules
- Computational Thinking And Coding
- AI Fundamentals
- Cell and Molecular Biology
- Physiological Systems
Year 2
In your second year, you’ll deepen your understanding through modules such as Diagnosis to Therapy, where you’ll explore key methods used to diagnose and treat common human diseases. You’ll also examine the ethical dimensions of artificial intelligence, considering its impact on individuals, communities, and institutions.
Core modules
- Diagnosis to Therapy
- Clinical Genetics and Molecular Techniques
- AI and Society
- Systems Neuroscience
Year 3
Your final year will focus on the application of all learnings. You will be challenged to apply your knowledge, skills and experience to solve a real-word problem in an area of their own interest within the field of biomedicine.
Core modules
- AI Transformation and Impact
- Medical Physiology
- Integrated Pathophysiology
- Biomedicine Research Project
BSc (Hons) Biomedicine with AI graduates will be equipped for a wide range of careers where artificial intelligence is driving innovation in healthcare, diagnostics, and biomedical research. This degree provides a powerful blend of biological knowledge and computational expertise, opening pathways in areas such as biomedical data analysis, AI-driven drug discovery, and personalised medicine.
You’ll be prepared to:
- Analyse complex biological datasets using AI techniques.
- Contribute to the development of intelligent diagnostic tools and therapies.
- Support precision medicine through data-informed clinical insights.
Career opportunities include emerging roles such as Biomedical Data Scientist, Healthcare Specialist, and Bioinformatics Analyst, alongside evolving traditional roles like Clinical Research Associate and Biomedical Scientist - now enhanced by AI capabilities. Progression typically moves from research or analyst positions into senior scientific and leadership roles.
During your degree, you’ll also have the opportunity to apply for 12-month placements or summer internships in areas such as biomedical data science, diagnostics, and health tech innovation - gaining valuable experience before graduation.
Study
- Year 1 25% lectures, seminars or similar; 75% independent study
- Year 2 25% lectures, seminars or similar; 75% independent study
- Year 3 20% lectures, seminars or similar; 80% independent study
Assessment
- Year 1 75% coursework; 25% examination
- Year 2 90% coursework; 10% examination
- Year 3 90% coursework; 10% examination