MSc Advanced Data Science

The MSc Advanced Data Science at the University of Exeter offers a practical and research-focused learning experience where students apply advanced data science methods to solve complex problems. Students gain hands-on skills in areas such as artificial intelligence, machine learning, deep learning, computer vision, network science, and large-scale data processing through specialist facilities, research activities, and project-based learning. The programme helps students build technical expertise, analytical thinking, and a strong professional portfolio for careers in data-driven industries or further academic research.

Students gain practical experience through advanced computing facilities, research activities, and applied data science projects:

• Access to the University of Exeter’s computer science facilities, including specialist teaching laboratories that support collaborative postgraduate learning, technical development, and project work.

• Opportunity to work with different machine types and software environments, helping students gain experience with modern computing systems used in data science research and industry.

• Use of the University’s High Performance Computing (HPC) environment, which supports advanced computational tasks, large-scale data processing, and research activities.

• Access to specialist computing spaces such as the Mac Suite, which provides high-performance machines and software tools for programming, development, and independent study.

• Access to the Linux Suite, providing a technical environment for scientific computing, software development, and advanced data science experimentation.

• Completion of an individual Research Project, allowing students to apply data science techniques to a specialist topic while developing independent research and problem-solving skills.

• Opportunities to work on collaborative activities and project-based tasks that strengthen teamwork, communication, and professional data science abilities.

• Practical learning through modules such as Machine Learning, Deep Learning, Data Science at Scale, Generative AI Applications, Large Language Models and Applications, Computer Vision, and Network Science.

• Development of technical skills through practical assignments, data analysis exercises, computational experiments, and research-based activities.

• Opportunities to engage with research in data science and artificial intelligence through the University’s Institute for Data Science and Artificial Intelligence (IDSAI).

• Access to the University’s digital learning resources and online platforms that support independent study, academic collaboration, and access to course materials.

• Exposure to the University’s investment in data science and artificial intelligence through initiatives supporting research, teaching, and technology development.

The MSc Advanced Data Science at the University of Exeter prepares graduates for careers in the fast-growing data and technology sectors by developing advanced skills in data science, artificial intelligence, machine learning, and computational analysis. The programme combines research-led learning with practical experience, helping students gain the expertise needed to analyse complex datasets, develop intelligent solutions, and support data-driven decision-making in organisations. Graduates can pursue roles such as Data Scientist, Machine Learning Engineer, Python Programmer, and Software Engineer across industries including technology, finance, healthcare, research, and business.

The programme supports students in building successful careers through specialist training, employability support, and industry-focused learning opportunities:

• Access to the University of Exeter’s Career Zone, which provides personalised career advice, one-to-one guidance, employer connections, workshops, skills sessions, and support with career planning, job applications, and interview preparation.

• Development of advanced technical expertise in areas such as artificial intelligence, machine learning, data science, statistics, computer vision, network science, and high-performance computing, helping students develop skills that are highly valued by employers.

• Opportunities to create a strong professional portfolio through the Research Project, where students apply data science methods to investigate specialist topics and solve complex real-world problems.

• Learning from research-active academics working in areas including artificial intelligence, machine learning, data science, high-performance computing, and cyber security, allowing students to engage with current developments in the field.

• Benefit from the University of Exeter’s investment in Data Science and Artificial Intelligence capabilities through initiatives supporting advanced research, teaching, and technology development.

• Opportunities to engage with the Institute for Data Science and Artificial Intelligence (IDSAI), which supports research and innovation in data-intensive science and artificial intelligence.

• Preparation for careers across sectors where data expertise is increasingly important, including technology, healthcare, finance, government, research organisations, and business analytics.

• The University does not publish specific employment rates or salary figures for MSc Advanced Data Science graduates; however, the programme develops specialist skills that align with the growing demand for professionals in data science, artificial intelligence, and machine learning.

• The combination of advanced computing knowledge, research experience, and practical data science skills provides long-term career value, supporting progression into specialist, leadership, and research-focused positions.

Further Academic Progression:
After completing the MSc Advanced Data Science, students can continue their academic journey through a PhD or doctoral research programme in areas such as data science, artificial intelligence, machine learning, computer science, or related computational disciplines. The programme’s research-focused learning, specialist modules, and independent project experience provide a strong foundation for students interested in advanced research, academic careers, or innovation-focused roles.