MSc Neuroscience (Data Science)

1 Year On Campus Masters Program

University of Exeter

Program Overview

MSc Neuroscience (Data Science) at the University of Exeter combines advanced neuroscience knowledge with modern data science techniques, enabling students to understand brain function, neurological conditions, and biological systems through computational approaches. The programme is suited for graduates from neuroscience, psychology, life sciences, medicine, and related disciplines who want to develop skills in programming, statistics, data analysis, and research for careers in healthcare, biotechnology, and scientific innovation.

Curriculum Structure

Year 1
During this one-year master’s programme, students develop a strong understanding of neuroscience through modules such as Molecular and Cellular Neuroscience, Behavioural and Systems Neuroscience, and Statistics for Health and Life Sciences. These modules introduce how the nervous system works at molecular, cellular, and behavioural levels while helping students develop the statistical knowledge required to analyse biological and healthcare data.

Students strengthen their computational skills through modules such as Coding in Python for Health and Life Sciences and Computational Skills for Health and Life Sciences, where they learn how programming and data analysis can be applied to neuroscience research. Modules such as Neurodegenerative Disease – Bench to Bedside and Seminars in Neuroscience allow students to explore neurological disorders, current scientific developments, and the connection between laboratory research and clinical applications.

Students complete their studies through the Research Project – Data module, where they apply neuroscience and data science techniques to investigate real research questions using biological datasets. Optional modules such as Bioinformatics, Interpretation and Data Quality Assurance in Genome Analysis, Genomics of Common and Rare Inherited Diseases, and Clinical Trials allow students to explore specialist areas related to healthcare data and biomedical research.

Focus Areas (in a string):
Neuroscience, computational neuroscience, data science, molecular and cellular neuroscience, behavioural neuroscience, systems neuroscience, neurodegenerative diseases, Python programming, statistics, machine learning, biological data analysis, bioinformatics, genomics, healthcare data research, neuroscience research

Learning Outcomes (in a string):
Develop advanced neuroscience knowledge, analyse complex biological datasets, apply programming and computational methods, use statistical techniques for scientific research, understand neurological disorders, conduct independent research projects, evaluate scientific evidence, develop data analysis skills, apply data science approaches to neuroscience challenges, communicate research findings effectively

Professional Alignment (Accreditation):
The MSc Neuroscience (Data Science) provides interdisciplinary training that combines neuroscience expertise with computational and analytical skills. The programme develops practical abilities in programming, statistics, research methods, data interpretation, and scientific communication, preparing graduates for opportunities in neuroscience research, healthcare, biotechnology, and data-driven scientific fields.

Reputation (Employability Rankings):
The University of Exeter offers a research-focused learning environment where students work alongside experts in neuroscience and related disciplines. Through access to specialist research facilities, computing resources, and independent research projects, students gain experience applying data science approaches to real neuroscience challenges and develop skills valued by employers and research organisations.

Experiential Learning (Research, Projects, Internships etc.)

The MSc Neuroscience (Data Science) programme at the University of Exeter provides students with practical experience by combining neuroscience research with advanced data science techniques. Students develop valuable skills in programming, statistics, computational analysis, and interpretation of complex biological datasets through research-led teaching, practical activities, and independent research work. The programme allows students to apply data science approaches to real neuroscience challenges while gaining experience with specialist facilities, digital resources, and expert guidance from researchers.

Students gain practical skills through a range of learning opportunities, research facilities, and digital resources, including:

Complete an independent Research Project – Data, where students apply computational methods and data analysis techniques to investigate real neuroscience research questions using biological datasets.
Develop programming abilities through modules such as Coding in Python for Health and Life Sciences and Computational Skills for Health and Life Sciences, gaining experience with scientific programming and data processing.
Use statistical approaches through Statistics for Health and Life Sciences to analyse and interpret complex health and biological data.
Participate in research seminars, practical sessions, coding activities, and small-group teaching that strengthen analytical and problem-solving skills.
Access specialist neuroscience research laboratories and facilities at St Luke’s Campus, supporting practical learning and research activities.
Use university computing resources to develop skills in programming, computational analysis, and handling large scientific datasets.
Work alongside neuroscience researchers on topics related to brain function, neurological conditions, and data-driven discoveries.
Apply techniques such as statistical modelling, machine learning, and computational analysis to understand complex neuroscience data.
Access the University of Exeter’s digital learning platforms, online study materials, and academic resources to support independent learning.
Use extensive library resources, including online journals, research databases, and digital learning materials for academic research.
Benefit from an interdisciplinary learning environment that connects neuroscience, healthcare, and data science research.

Progression & Future Opportunities

Graduates of the MSc Neuroscience (Data Science) programme at the University of Exeter gain a powerful combination of neuroscience knowledge, programming skills, statistical expertise, and data analysis abilities. The programme prepares students for careers in biomedical research, healthcare, biotechnology, and data-driven scientific industries while also creating opportunities for further academic development. Typical career paths include Neuroscience Researcher, Biomedical Data Scientist, Computational Neuroscientist, and Clinical Research Scientist.

The programme supports your career development through a range of opportunities:

The Career Zone at the University of Exeter provides career guidance, one-to-one support, employability workshops, skills development sessions, and opportunities to connect with employers through networking events and career activities.
Students develop advanced skills in programming, statistical analysis, machine learning, research methods, laboratory techniques, teamwork, communication, and scientific problem-solving, which are highly valued across healthcare, research, biotechnology, and technology sectors.
The Research Project – Data module allows students to work on real neuroscience research challenges, applying computational approaches and data analysis methods while gaining valuable research experience.
Graduates can explore opportunities in biomedical research, healthcare, pharmaceutical industries, biotechnology companies, clinical research organisations, and scientific data analysis roles.
The programme provides long-term career value by developing expertise in emerging fields such as computational neuroscience, artificial intelligence applications in biology, and analysis of complex health datasets.
Students benefit from Exeter’s strong research environment and the opportunity to learn from academics working in areas such as brain function, neurological disorders, behaviour, and neuroscience innovation.
Specific employment rates and salary figures for MSc Neuroscience (Data Science) graduates are not published; however, the programme equips students with specialist skills that support careers in research, healthcare, biotechnology, and data-focused scientific roles.
The combination of neuroscience and data science knowledge gives graduates a competitive advantage in interdisciplinary fields where biological research, healthcare, and artificial intelligence come together.

Further Academic Progression:
After completing the MSc Neuroscience (Data Science), graduates can continue their studies through a PhD in Neuroscience, Computational Neuroscience, Biomedical Sciences, Artificial Intelligence in Healthcare, Bioinformatics, or related research fields. The research experience, programming abilities, and analytical skills developed during the programme provide a strong foundation for doctoral research, academic careers, and specialist roles in neuroscience innovation.