91Ö±²¥

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How can vast amounts of complex data be transformed into meaningful insight? 91Ö±²¥ MSc Data Science and Artificial Intelligence (Mathematics pathway) and combine mathematical expertise with data science techniques to solve problems and shape decisions across a wide range of sectors.

The rapid growth of data across every sector has created increasing demand for professionals who can collect, manage, analyse and interpret complex information. Our MSc Data Science and Artificial Intelligence (Mathematics pathway) equips you with advanced quantitative and computational skills to apply data-driven approaches to real-world challenges across a wide range of disciplines and industries.

You will receive rigorous training in data analysis, project design, computational methods, managing agentic AI, data stewardship, and more.

Your focus will largely be on the data techniques and uses that are most relevant to
mathematical and statistical foundations of data science. You will study themes such as uncertainty quantification, modelling complex and diverse data types, with applications in areas such as finance.

You'll gain hands-on experience with real-world datasets using R and Python, through lectures, practicals, workshops and group work, before applying your skills in an extended research project supported by dedicated research methods training.

We welcome applicants from a range of STEM, business and humanities backgrounds, creating a diverse cohort that enriches discussion around the uses and potential of data.

By the end of your studies, you will have developed a highly valued skillset, enhancing your employability across sectors such as policy, business and research.

This course will:

• Provide an opportunity for graduates from a broad range of disciplines to develop data science skills.
• Train you to ask important research questions, evaluate the quality of available evidence, select appropriate methods and use analytical skills to visualise, interpret and provide strategic advice and insight.
• Enable you to develop into an agile, skilled data scientist adept at working in a variety of settings, able to meet the challenges and rewards of interdisciplinary teamwork.

Interdisciplinary approach
Gain a comprehensive understanding of data analytics through studying varied aspects and applications of data science from Statistics, Demography, Social Networks, Data Science, Economics, Politics, Criminology, Health, Sociology, and other fields.

Hands-on
Make theory come alive with hands on experience analysing real-world data using a variety of statistical software such as R, Python, Excel and more.

This course is taught by an interdisciplinary team using a variety of delivery methods:

• lectures;
• computer based practicals;
• e-learning;
• workshops;
• group work;
• individual research.

Course units are assessed in a variety of ways, including:

• exams;
• essays;
• reports;
• online tests;
• video and in person presentations;
• presenting code files;
• group work;
• practical skills assessments.

Career opportunities
The University of Manchester is the most targeted university by the UK’s top graduate employers (High Fliers, The Graduate Market Report 2026).

Our MSc in Data Science and Artificial Intelligence (Mathematics pathway) gives you the specialist knowledge and skills required for a range of careers across the public, private, and third sectors, such as in:

• banking and financial services;
• the Civil Service;
• the IT and tech sector;
• high-performance sports analysis;
• large retail chains;
• the pharmaceutical industry.

You will be well-prepared for careers that require advanced data analysis, statistical modelling and computational problem-solving skills. Our graduates have gone on to roles including data scientists, civil servants, consultants, researchers, entrepreneurs, and specialists in AI.

You will acquire vital skills relevant to many different sectors and roles, such as data analysis, qualitative and quantitative research design, academic writing, and communication and teamwork. You could also progress to a PhD in Social Statistics at 91Ö±²¥ or another university.

Careers support
At 91Ö±²¥ you will have access to a number of opportunities to help boost your employability, such as careers fairs, employer presentations, and workshops through the University’s dedicated Careers Service. As a student at 91Ö±²¥, you would have full access to this service during your studies and for two years after you graduate.