MSc Bioinformatics

1 Year On Campus Masters Program

University of Nottingham

Program Overview

The MSc Bioinformatics at Nottingham trains biological science graduates to develop computational, statistical, and programming skills required for analysing large-scale biological and genomic data. It is suited for those aspiring to careers in research, biotech, healthcare data science, or for progression to PhD study.


Curriculum Structure

Students begin with Computational Biology, Programming and Practice, learning how to use Python and R, command-line tools, and reproducible coding to process biological data. Modules such as Comparative and Evolutionary Genomics and Advanced Experimental Design and Analysis equip them with methods for genome alignment, phylogeny, and rigorous statistical design of experiments and data analysis.


Focus areas: “Genomic data analysis, programming & reproducible computation, evolutionary genomics, statistical design, bioinformatics pipelines”
Learning outcomes: “Produce code to process biological datasets; apply statistical and evolutionary genomics techniques; design and analyse experiments; conduct independent bioinformatics research; communicate results clearly”
Professional alignment (accreditation): “Aligns with academic research standards; prepares for roles in biotech, health research, and data-driven life sciences”
Reputation (employability rankings): “University of Nottingham is ranked in the top 100 globally (QS 2026); many graduates move into research, industrial bioinformatics, healthcare analytics, or PhD programmes. 

Experiential Learning (Research, Projects, Internships etc.)

This programme is designed to transform theoretical knowledge into practical expertise through hands-on analysis of complex, real-world datasets. You will develop these in-demand skills using the University's high-performance computing resources and industry-standard software, preparing you for the technical challenges of a professional data science career. This applied learning philosophy is central to the programme's delivery, which includes:

  • High-Performance Computing (HPC): You will gain practical experience using the University's High-Performance Computing facilities, which are essential for running complex data-intensive computations, large-scale simulations, and training sophisticated machine learning models.

  • Industry-Standard Software and Tools: The curriculum is built around practical work with core data science programming languages like Python and R, and you will use major libraries and platforms such as TensorFlow, Keras, and Spark for machine learning and big data processing.

  • Substantial Individual Project: A core component is a significant summer research project where you will apply the full data science lifecycle to a substantial problem, often defined in collaboration with industry partners or academic research groups.

  • Practical and Collaborative Modules: Many modules, such as those in data modelling and big data, are centred on coursework that involves analysing real datasets and include group projects to simulate a professional team environment.

  •  

Progression & Future Opportunities

Graduates of the MSc Bioinformatics at the University of Nottingham acquire a fusion of biological, statistical, and computational expertise, preparing for roles such as Bioinformatics Scientist, Computational Biologist, Data Analyst, and Genomics Researcher. The program focuses on applying programming, data analytics, and genomics to solve complex biological problems, offering strong pathways into both research and industry careers.​

  • The university’s Careers and Employability Service supports students through individualized career coaching, job fairs, and placement assistance, linking students with global employers and research organizations.​

  • 91.3% of postgraduates from the School of Life Sciences secure graduate-level employment or further study within 15 months of graduation; salaries for bioinformatics roles commonly range between £28,000 and £45,000 depending on experience and specialization.​

  • Nottingham’s partnerships with the Biotechnology and Biological Sciences Research Council (BBSRC), Wellcome Trust, and major bioinformatics institutes enhance students’ research and employment opportunities through collaborative projects and workshops.​

  • The MSc is developed in line with current industry and research requirements, ensuring enduring relevance for positions in genomics, biostatistics, and bioinformatics data management.​

  • Graduates demonstrate comparable proficiency in computational methods and biological interpretation, ready for roles within biotechnology firms, pharmaceutical companies, or academic research.​

Further Academic Progression:
Graduates may advance to PhD research in Bioinformatics, Genomics, or Computational Biology, or undertake specialized professional training and research leadership opportunities within the life sciences domain.​

Program Key Stats

£33,000 (Annual cost)
£
£ 50
Sept Intake : 3rd Aug


11 %
No
Yes

Eligibility Criteria

3 or 4 Years

N/A
N/A
N/A
N/A
6.5
90
2:1
1400
30

Additional Information & Requirements

Career Options

  • Bioinformatician
  • Computational Biologist
  • Genomic Data Scientist
  • Biocurator
  • Clinical Bioinformatics Scientist
  • Drug Discovery Informatics Specialist

Book Free Session with Our Admission Experts

Admission Experts