MSc Data Science (Social Analytics)

1 Year On Campus Masters Program

University of Manchester

Program Overview

The MSc Data Science (Social Analytics) at the University of Manchester is a one-year programme that provides advanced training in computational methods, statistical modelling, and data-analytic techniques designed specifically for social-science applications. It suits students from social sciences, humanities, business, geography, mathematics, or computing who want to apply data science to real-world social and policy questions.

Curriculum structure

Year of Study (one-year full-time):
Students begin by developing core competencies through modules such as Statistical Modelling, Data Science Modelling, Computational Skills, and Data Stewardship, which introduce key techniques for analysing, managing, and interpreting complex social datasets. These units train students in coding, machine learning approaches, quantitative reasoning, and best practices for data quality and management.
As the year progresses, students take optional modules in areas such as Social Analytics, Applied Data Science, or Research Design, allowing them to specialise in methodological or domain-specific interests. The programme concludes with an independent project, where students apply the full range of skills learned to a real-world social or policy-driven data problem.

Focus areas (string):
Data analysis; statistical modelling; computational methods; social analytics; data stewardship; applied research design.

Learning outcomes (string):
Ability to analyse complex social datasets; apply computational and statistical models; manage and steward data responsibly; design applied data-science projects; translate data insights into social or policy contexts.

Professional alignment (accreditation):
Designed to meet industry and public-sector demand for data-literate social-science professionals, preparing graduates for roles in research, government, policy, analytics, and data-science consultancy.

Reputation (employability rankings):
The University of Manchester consistently ranks among the top global universities and is recognised for strong employability outcomes, with data-science graduates entering high-impact roles across public, private, and research sectors.

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 (Social Analytics) 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 (Social Analytics) develop expertise in R, Python, SQL, and social data analysis, securing roles in policy, business, research, and government where data drives decisions. The interdisciplinary program boosts employability at top employers targeting Manchester, with alumni as data scientists, civil servants, and consultants. Hands-on projects prepare them for diverse sectors like finance, healthcare, and tech.

Typical job roles: Data Analyst, Social Researcher, Statistical Consultant, Policy Analyst.

Careers service: employability training, ESRC NWSSDTP 1+3 PhD pathway, skills workshops
Employment stats: high prospects (Manchester top-targeted uni); UK data roles £35k+ start
Partnerships: NWSSDTP for funded research, interdisciplinary social science links
Accreditation value: Manchester's global CS reputation (top UK) for credentials
Outcomes: banking/Civil Service/tech roles, AI/entrepreneurship

Further Academic Progression: Pursue PhD via ESRC NWSSDTP or Manchester's data science programs, extending dissertation in social analytics or ML.