MSc Applied Data Science and Statistics

1 Years On Campus Masters Program

University of Exeter

Program Overview

The MSc Applied Data Science and Statistics at the University of Exeter is designed to equip students with the practical and analytical skills needed to work with data, combining statistical knowledge, programming, and modern data science techniques. It is a great choice for graduates from a wide range of academic backgrounds who want to build expertise in analysing complex data, developing models, and making informed decisions using data-driven approaches.

Curriculum Structure

Year 1

Students start by building strong foundations in data science and statistics through modules such as Introduction to Data Science and Statistical Modelling and Applications of Data Science and Statistics. These modules help students understand statistical methods, programming techniques, data analysis approaches, and how to apply these skills to solve real-world problems using tools such as Python and R.

Students also explore important areas through modules such as Data Governance and Ethics, where they learn about responsible data handling, privacy, fairness, and the wider impact of data-driven technologies. Throughout the year, practical exercises and applied projects allow students to work with real datasets and develop confidence in interpreting and communicating data insights.

The programme concludes with the Applied Data Science and Statistics Project (Dissertation), where students undertake an independent research project focused on applying data science and statistical methods to a real-world challenge. This project allows students to develop advanced analytical skills, work closely with academic experts, and demonstrate their ability to deliver professional data-driven solutions.

Focus Areas

Data science, statistical modelling, programming with Python and R, data analysis, machine learning applications, data visualisation, probability, computational methods, data governance, ethical data practices, research projects, and practical data-driven problem solving.

Learning Outcomes

Graduates will gain the ability to analyse and interpret complex datasets, apply advanced statistical techniques, develop programming skills, use data science tools effectively, communicate analytical findings clearly, and create responsible solutions for real-world challenges across different industries.

Professional Alignment (Accreditation)

The programme is delivered by the University of Exeter’s Mathematics and Statistics expertise and is supported by the university’s strong focus on data science and artificial intelligence research. Students gain industry-relevant experience through practical projects, programming-based learning, and exposure to modern analytical methods, preparing them for careers in data science, analytics, and related technology fields.

Reputation (Employability Rankings)

The University of Exeter is a highly respected UK university with a strong reputation for academic excellence and graduate employability. Its strengths in mathematics, statistics, computer science, and data-focused research provide students with access to a supportive learning environment and strong connections to emerging industries. The university’s investment in data science and artificial intelligence further enhances opportunities for students seeking careers in these fast-growing fields.

Experiential Learning (Research, Projects, Internships etc.)

The MSc Applied Data Science and Statistics at the University of Exeter provides students with strong practical experience by combining statistical theory with hands-on data analysis, programming, and real-world problem-solving. Throughout the programme, students work with real datasets, develop coding skills using industry-relevant tools such as Python and R, and apply data science methods to address practical challenges. The course also includes project-based learning, allowing students to strengthen their analytical thinking, teamwork, and communication skills while preparing for careers in data-driven industries.

Students benefit from Exeter’s research-led environment, including access to the Institute for Data Science and Artificial Intelligence, where researchers work on advanced topics in data science, artificial intelligence, and interdisciplinary applications. The university’s computing facilities, specialist software, and research activities provide students with the resources needed to explore modern data science techniques and develop professional-level expertise:

Programming and Data Analysis Tools: Students gain practical experience using Python and R, widely used programming languages for statistical analysis, data modelling, and machine learning applications.
Applied Projects and Team-Based Learning: The programme includes practical assignments, group projects, data analysis activities, and visualisation tasks that help students develop collaboration skills and apply theoretical knowledge to real datasets.
Dissertation and Independent Research Project: Students complete an Applied Data Science and Statistics Project, where they investigate a data-driven problem, apply statistical and computational methods, analyse results, and present their findings under academic supervision.
Institute for Data Science and Artificial Intelligence (IDSAI): Students benefit from a research-focused environment that brings together expertise in artificial intelligence, data science, mathematics, and computer science, supporting innovation and interdisciplinary learning.
Advanced Computing Facilities: Students have access to university computing resources and software environments that support programming, statistical analysis, computational modelling, and data-intensive research activities.
Research-Led Teaching: Learning is supported by academics actively involved in data science and statistics research, allowing students to engage with current developments and emerging practices in the field.
Professional Placement Opportunity: Students can choose the MSc Applied Data Science and Statistics with Professional Placement route, which provides the opportunity to gain industry experience through a dedicated placement year before completing the final project.
Academic and Industry Connections: Through Exeter’s links with leading data science research networks, including collaboration with the Alan Turing Institute, students gain exposure to wider developments in artificial intelligence and data science.

Progression & Future Opportunities

Graduates of the MSc Applied Data Science and Statistics at the University of Exeter are well prepared for careers that involve analysing data, developing statistical models, and creating data-driven solutions for organisations. The programme builds the technical and analytical skills needed for roles such as Data Scientist, Data Analyst, Statistical Analyst, Machine Learning Specialist, and Business Intelligence Analyst across sectors including technology, finance, healthcare, research, and business.

The University of Exeter supports students in successfully transitioning from postgraduate study into professional careers through dedicated employability services, industry connections, and opportunities to gain practical experience:

Career Support Services: Students have access to the University of Exeter’s Career Zone, which provides personalised career advice, employability workshops, CV and interview support, networking opportunities, and guidance to help students identify suitable career pathways.
Graduate Employment Opportunities: Graduates from the programme have progressed into data-focused roles in industry. For example, one graduate has moved into a Data Analyst position at Mazars, applying the analytical and programming skills developed during the course.
Professional Placement Opportunity: Students can choose the MSc Applied Data Science and Statistics with Professional Placement route, which includes a dedicated placement year. This allows students to gain workplace experience, apply their data science knowledge in real organisations, and strengthen their employability before graduation.
University–Industry and Research Partnerships: Students benefit from Exeter’s connection with the Alan Turing Institute, the UK’s national institute for data science and artificial intelligence research. They also engage with the Institute for Data Science and Artificial Intelligence, which connects academic research with real-world applications in areas such as AI, data analysis, and computational methods.
Industry-Relevant Skills Development: The programme develops highly valued skills in Python, R, statistical modelling, data visualisation, machine learning applications, and responsible data management, helping graduates remain competitive in the growing data and technology sector.
Long-Term Career Value: The combination of advanced statistical knowledge, programming ability, research experience, and practical project work gives graduates a strong foundation for adapting to future developments in data science, artificial intelligence, and analytics.

Further Academic Progression:
After completing the MSc Applied Data Science and Statistics, students can continue their academic journey through research degrees such as a PhD in Data Science, Statistics, Artificial Intelligence, Computer Science, or related fields. The independent dissertation project and strong foundation in analytical methods prepare graduates for advanced research, academic careers, or specialist roles requiring deeper expertise.