MSc Data Science (Mathematics)

1 Year On Campus Masters Program

University of Manchester

Program Overview

The MSc Data Science (Mathematics) at University of Manchester is a one-year master’s programme that combines deep mathematical foundations with advanced data science and computational methods. It suits students with a strong mathematics background (e.g. probability, statistics, calculus, linear algebra) who want to specialise in mathematically rigorous data science for research, analytics, or technical careers.

Curriculum structure:

Year of Study (one-year full-time):
In this programme, students take core modules such as Machine Learning and Statistics, Understanding Databases, and Understanding Data and Their Environment, among others. Through these modules, they learn to model data mathematically, apply statistical and machine-learning techniques, manage and query databases, and understand data in context (its sources, structure, and ethical/environmental considerations). The course emphasises computational methods, data analysis, project design, and data stewardship, allowing students to use tools (e.g. R, Python) to process and interpret real-world datasets.

Focus areas (string):
Mathematical modelling; statistical modelling & machine learning; computational methods; databases and data stewardship; data analysis in applied contexts.

Learning outcomes (string):
Ability to apply advanced mathematics and statistics to data science problems; design and implement computational data-analysis workflows; manage and query databases; interpret real-world data in context; design data-driven projects; deliver robust, mathematically grounded data-science solutions.

Professional alignment (accreditation):
The course is structured to meet industry and research standards for data science, producing graduates well equipped for roles in analytics, research, consultancy or further academic work in mathematics/data science.

Reputation (employability rankings):
University of Manchester is globally recognised, and its Data Science (Mathematics) programme enjoys strong employability outcomes, with graduates entering data science, analytics and research roles in business, government, health, and academia.

Experiential Learning (Research, Projects, Internships etc.)

If you're aiming to become an expert at the very forefront of computer science, the MSc Data Science (Mathematics) at the University of Manchester is designed to give you an unrivalled depth of knowledge and a serious practical advantage. This programme allows you to dive into the most advanced and specialised topics, from AI and data engineering to cybersecurity and high-performance computing. You'll be learning in the home of the world's first stored-program computer, based in the Department of Computer Science, which is packed with specialist labs and has an outstanding reputation for research that shapes the future of the field.

Your learning is built around applying pioneering research to solve complex, real-world challenges:

Specialist Research Laboratories: You will have access to our suite of specialist labs, including the Data Engineering and Science Lab, the AI and Robotics Lab, and the Cyber Security Lab. These facilities are equipped with cutting-edge technology, from high-performance computing clusters to specialised hardware for secure systems and intelligent machines.
Industry-Standard & Research Software: You will gain hands-on experience with the tools that drive global innovation. This includes data science platforms like Apache Spark and Hadoop, machine learning environments like TensorFlow and PyTorch, and professional-grade tools for software engineering, verification, and simulation.
Research-Led Teaching & Group Projects: You'll be taught by world-leading academics from research groups like the Advanced Processor Technologies and AI groups. A core part of your experience will involve collaborative projects, tackling challenges that are directly aligned with the department's pioneering research.
Substantial Individual MSc Project: The programme culminates in a significant six-month individual research project. This is your opportunity to work deeply on a specialist topic of your choice, often embedded within one of our active research groups, to create a substantial and impactful piece of work for your professional portfolio.
High-Performance Computing (HPC) Resources: For projects requiring immense computational power, you will have the opportunity to utilise the University's High-Performance Computing resources, including the national-scale CSD3 facility.

Progression & Future Opportunities

Graduates of the University of Manchester’s MSc Data Science (Mathematics) develop strong foundations in machine learning, statistics, databases and applications of data science, enabling progression into analytically demanding roles across banking, tech, pharma and the public sector. They gain experience working with real-world datasets and advanced quantitative methods, making them attractive to employers who target Manchester for data and analytics recruitment. Typical job roles include Data Scientist, Quantitative Analyst, Statistical Modeller and Data Engineer.

Therefore, in terms of support and longer-term opportunities, students benefit from:

University services: careers coaching, skills workshops, and employer events delivered by Manchester’s central careers service and the Department, plus support in securing internships and graduate roles.
Employment stats and salaries: Manchester is one of the UK’s most targeted universities by top graduate employers, with data science and quantitative roles commonly starting in the range of £35,000–£45,000 in the UK depending on sector and location.
University–industry partnerships: connections with banking and financial services, civil service, IT and tech, large retail chains and pharmaceutical companies, where students’ projects and dissertations often use partner or sector-relevant data.
Long-term accreditation value: the degree sits within a university ranked highly in maths, statistics and computer science, which provides durable signalling value on the CV for technical and quantitative roles.
Graduation outcomes: alumni move into data science, analytics and modelling positions across finance, consulting, tech and research, or into more specialised quantitative posts and research assistantships.

Further Academic Progression: After completing this MSc, a student could progress to a PhD in data science, statistics, applied mathematics or related fields at Manchester or other research-intensive universities, using the dissertation as a springboard into more specialised research and, ultimately, academic or high-level R&D careers.