Overview

The MSc in Data Science (Mathematics) at The University of Manchester is designed to prepare graduates for the growing demand for data scientists across various sectors. Ranked among the top 10 universities in the UK for mathematics, statistics, and computer science according to the Times Higher Education World University Rankings by Subject 2025, Manchester provides a robust academic environment. The course is delivered by an interdisciplinary team, allowing students to develop a comprehensive understanding of data analytics through diverse applications in fields such as social sciences, economics, and health.

Key facts

Students will gain practical experience in analysing real-world data using advanced statistical software, including R, Python, and Excel. This hands-on approach ensures that learners can apply theoretical knowledge to practical scenarios, enhancing their employability in a competitive job market. The programme focuses on developing key skills in data analysis, project design, and computational methods, which are highly sought after by employers.

The curriculum comprises a mix of mandatory and optional units, covering essential topics such as Machine Learning, Understanding Databases, and Applications in Data Science. Students will also undertake a significant research project, culminating in a dissertation that allows them to explore a specific area of interest within data science.

Syllabus

The course structure consists of 180 credits, with 120 credits derived from a combination of mandatory and optional units. Students are required to select eight course units, each worth 15 credits, across two semesters. The core units include:

• Machine Learning and Statistics
• Understanding Databases
• Understanding Data and their Environment
• Applications in Data Science

The remaining 60 credits are awarded through a compulsory research component, culminating in a dissertation of 12,000 to 15,000 words.

Careers 

Graduates of the MSc in Data Science (Mathematics) have a wide array of career opportunities available to them. The programme equips students with the necessary skills to pursue roles in sectors such as banking, financial services, civil service, IT, and pharmaceuticals. Alumni have successfully secured positions as data scientists, consultants, civil servants, and researchers, reflecting the programme's strong emphasis on employability and practical skills.