MSc Data Science

1 Years On Campus Masters Program

University of Exeter

Program Overview

The MSc Data Science at the University of Exeter is ideal for graduates who want to build advanced expertise in analysing data, developing intelligent solutions, and using technology to solve complex challenges across industries such as healthcare, finance, business, and technology. The programme blends theoretical knowledge with practical skills in areas like programming, machine learning, data analytics, and data management, preparing students for exciting careers in the rapidly growing data-driven world.

Curriculum Structure

Year 1

Throughout this one-year full-time master’s programme, students develop a strong foundation in data science through core modules such as Introduction to Data Science, Data Systems, Machine Learning, Learning from Data, and Data Governance and Ethics. These modules help students understand how to work with large datasets, apply analytical techniques, build machine learning models, and make responsible decisions when handling data.

Students also complete a Research Project, where they apply their knowledge to an independent data science challenge. Alongside the core subjects, optional modules allow students to explore specialist areas such as Digital Transformation, Strategic and HR Analytics, Supply Chain Analytics, Introduction to Computer Vision, Foundations of Human-Centred AI, Social Networks and Text Analysis, and Bayesian Philosophy and Methods in Data Science, helping them tailor the programme to their career goals.

Year 2 (Part-time Route)

Students who choose the part-time route complete the programme over two years, allowing them to balance their studies with professional or personal commitments. In the first year, they build essential technical skills through modules such as Introduction to Data Science and Programming with Python, gaining confidence in programming, data handling, and analytical methods.

In the second year, students continue developing advanced data science knowledge and complete the Research Project, where they investigate a real-world problem using the skills gained throughout the course. This flexible structure enables students to progress at their own pace while achieving the same level of expertise as full-time students.

Focus Areas

Data analytics, machine learning, artificial intelligence, Python programming, data systems, statistical modelling, big data analysis, data ethics, computer vision, human-centred AI, business analytics, research methods, and applied data science solutions.

Learning Outcomes

Graduates will gain the ability to analyse complex datasets, develop data-driven solutions, apply machine learning techniques, manage modern data systems, and communicate insights effectively. The programme also develops problem-solving, research, technical, and ethical decision-making skills required for successful careers in data science and related fields.

Professional Alignment (Accreditation)

The MSc Data Science is designed to provide industry-relevant knowledge and practical experience using modern data science techniques and tools. Students benefit from the University of Exeter’s strong research environment, connections with industry, and expertise in Data Science and Artificial Intelligence through its dedicated research centres and collaborations.

Reputation (Employability Rankings)

The University of Exeter has a strong reputation for graduate employability and academic excellence. The university highlights its investment in Data Science and Artificial Intelligence capabilities, advanced computing facilities, and research expertise, helping students develop skills that are highly valued by employers in technology and data-focused industries.

Experiential Learning (Research, Projects, Internships etc.)

The MSc Data Science at the University of Exeter provides students with practical experience in using data to solve real-world problems. Through hands-on computer-based learning, research activities, and project work, students develop the technical confidence to analyse complex datasets, create data-driven solutions, and apply modern data science methods. The programme is supported by Exeter’s strong research environment, specialist computing facilities, and expertise in Data Science and Artificial Intelligence, giving students the opportunity to learn in an environment closely connected to current industry and research challenges.

A major part of the learning experience is the Research Project, where students work independently on a data science investigation with guidance from academic experts. This allows them to apply skills gained from modules such as Machine Learning, Data Systems, Learning from Data, and Data Governance and Ethics to practical research or industry-related challenges. Students also benefit from the University of Exeter’s Institute for Data Science and Artificial Intelligence, which supports innovative research across areas including artificial intelligence, healthcare, sustainability, and society.

Students gain practical experience through:

Advanced computer laboratories: Students have access to modern computing facilities designed for practical learning, programming activities, collaborative work, and project development.
High Performance Computing (HPC) facilities: Students can use powerful computing resources to support data-intensive projects, complex calculations, and advanced research activities.
Programming and data science tools: The programme develops practical experience with programming, data analysis techniques, machine learning approaches, and computational methods used in professional data science environments.
Research Project experience: Students complete an independent project where they apply data science techniques to investigate a specific problem, analyse results, and present their findings under academic supervision.
Institute for Data Science and Artificial Intelligence: Students benefit from being part of a research-led environment focused on artificial intelligence and data science innovation, with connections to interdisciplinary projects.
Specialist computing resources: The Department of Computer Science provides access to facilities including the Mac Suite, Linux Suite, Raspberry Pi resources, High Performance Computing systems, and 3D Visualisation Suite.
Collaborative learning spaces: Dedicated teaching laboratories and study areas support teamwork, discussions, practical sessions, and group-based learning activities.
Digital research and analytics support: Students can benefit from expertise in areas such as data analysis, visualisation, machine learning, deep learning, and computational research through Exeter’s research software and analytics community.
Industry-relevant learning approach: The programme combines academic knowledge with practical applications, helping students develop skills that match the needs of modern data-driven industries.

Progression & Future Opportunities

Graduates of the MSc Data Science at the University of Exeter are equipped with the advanced technical and analytical skills needed to succeed in today’s data-driven industries. The programme prepares students to transform complex data into valuable insights, helping organisations make smarter decisions across sectors such as technology, healthcare, finance, and business. Typical career roles include Data Scientist, Machine Learning Engineer, Data Analyst, and Software Engineer.

Students benefit from Exeter’s strong employability support, industry connections, and research environment, helping them confidently move from postgraduate study into successful careers:

Career support services: Students have access to the University of Exeter’s Career Zone, which provides personalised career guidance, employability workshops, skills development sessions, networking opportunities, and support with preparing for graduate employment.
Strong graduate prospects: The University of Exeter has a strong reputation for graduate outcomes, with Computer Science ranked joint 9th in the UK for graduate prospects in the Complete University Guide 2027, highlighting the university’s focus on preparing students for successful careers.
Industry-focused learning: The programme is taught by experienced academics involved in research and applied projects, helping students develop knowledge that reflects current industry practices and challenges in data science, artificial intelligence, and analytics.
Alan Turing Institute partnership: The University of Exeter works with the Alan Turing Institute, the UK’s national institute for data science and artificial intelligence, giving students access to a wider research community, expert talks, and opportunities connected to leading AI and data science developments.
Institute for Data Science and Artificial Intelligence: Students benefit from Exeter’s dedicated research environment, where researchers work on innovative projects in areas such as artificial intelligence, healthcare, sustainability, and responsible data use.
Practical career preparation: Through the programme’s research project and applied learning approach, students develop valuable skills in programming, data analysis, machine learning, problem-solving, and independent research that are highly valued by employers.
Long-term career value: A master’s qualification in Data Science from the University of Exeter provides a strong foundation for career growth in rapidly expanding fields such as artificial intelligence, machine learning, big data, and advanced analytics.

Further Academic Progression:
After completing the MSc Data Science, graduates can continue their studies through PhD programmes in areas such as Data Science, Artificial Intelligence, Machine Learning, or Computational Science. Students may also pursue specialised research opportunities through Exeter’s data science and AI research groups or enhance their expertise through professional development and advanced industry certifications.