University of Manchester Campus
Master of Science
On Campus
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University of Manchester
Manchester
United Kingdom

Social Research Methods and Statistics

About

The Master of Science (MSc) in Social Research Methods and Statistics at the University of Manchester is a one-year, full-time program focused on equipping students with the skills to conduct high-quality social research. The program emphasizes research design, data collection, and statistical analysis techniques, enabling students to critically evaluate and conduct quantitative and qualitative research in the social sciences. Students will be trained in statistical software tools and learn to analyze complex datasets.

This program provides a solid foundation for students interested in pursuing careers in academia, government, non-governmental organizations (NGOs), or market research. Graduates are prepared to work as social researchers, policy analysts, and data scientists, contributing to evidence-based decision-making and the development of social policies.

Key information

Duration
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Tuition fee
$41,382.00/year
Start dates & application deadlines
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More details
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Key Facts

  • Program Title: Master of Science (MSc) in Social Research Methods and Statistics
  • Degree Type: Master of Science (MSc)
  • Duration: 1 Year
  • Mode of Study: Full-time, On Campus
  • Application Deadline: 1st July 2026
  • Location: University of Manchester, United Kingdom
  • Field of Study: Sociology
  • Language of Instruction: English

Program Structure

Semester 1 – Foundations in Social Research and Statistical Methods

  • Introduction to Social Research and Methodology
  • Quantitative Data Analysis in Social Research
  • Survey Design and Sampling Techniques
  • Research Ethics and Social Inquiry
  • Qualitative Research Methods and Data Collection

Semester 2 – Advanced Statistical Techniques and Research Project

  • Advanced Statistical Analysis: Regression and Multivariate Techniques
  • Research Design in the Social Sciences
  • Data Visualization and Presentation in Social Research
  • Advanced Qualitative Methods: Thematic and Narrative Analysis
  • Independent Research Project in Social Research Methods

Career Opportunities

Graduates of the Social Research Methods and Statistics MSc program at the University of Manchester will be well-prepared for careers in social research, policy analysis, market research, and statistical consultancy. With expertise in both qualitative and quantitative research methods, graduates can pursue roles as research analysts, data scientists, statistical consultants, policy advisors, or market researchers. Employers include government agencies, non-governmental organizations (NGOs), market research firms, academic institutions, and public policy think tanks. Graduates may also pursue further academic study, including a PhD in social research, sociology, or statistical analysis.

Why Choose This Program

The Social Research Methods and Statistics MSc program at the University of Manchester provides an in-depth, practical understanding of research methods and statistical techniques used in social sciences. This full-time, on-campus program is designed for students seeking to gain the advanced skills necessary to conduct high-quality research in a variety of fields, including sociology, political science, social policy, and market research. The program combines rigorous statistical training with practical data collection and analysis, equipping graduates to become experts in both qualitative and quantitative research. The strong emphasis on research ethics and the opportunity to complete an independent research project provide students with the tools to engage critically with real-world social issues. Graduates will leave with transferable skills highly valued by employers in academia, government, and the private sector.

Contact Information

For further information, please contact the admissions office at:
Phone: +44 (0)161 306 6000
Email: admissions@manchester.ac.uk
Address: University of Manchester, Oxford Road, Manchester, M13 9PL, United Kingdom