Data Analytics and Social Statistics The University of Manchester

Overview

The Data Analytics and Social Statistics MSc at The University of Manchester is designed to equip professionals with the advanced technical skills required to navigate the rapidly evolving landscape of big data. This programme focuses on the collection, evaluation, and interpretation of specialised datasets to uncover meaningful insights within the social sciences. Students will learn to handle complex information effectively, enhancing their professional outcomes through practical, evidence-based learning.

Delivered entirely online, the curriculum bridges the gap between theoretical statistics and real-world application. By leveraging industry-standard R software, participants gain hands-on experience that is directly transferable to the workplace.

Why Data Analytics and Social Statistics at The University of Manchester?

The University of Manchester is ranked 5th in the UK for Social Sciences, offering students access to world-class research and teaching excellence. The programme is distinguished by its use of real-world data and free R software, ensuring that the techniques learned match day-to-day work scenarios. Students benefit from the expertise of high-profile academics and an interdisciplinary approach that covers the latest methods, including machine learning and demographic forecasting.

Tuition Fee Breakdown

• International fee: GBP 16500 per year
• National fee: GBP 16500 per year

Visit the Fees and Funding section for a breakdown in your local currency.

Syllabus

The curriculum consists of core units and a significant research project. Modules may include:

• Data Cleaning and Visualisation Using R
• Statistical Modelling
• Survey Methods and Online Research
• Data Science Modelling
• Multilevel and Longitudinal Analysis
• Demographic Forecasting
• Structural Equation Modelling
• Research Skills in Practice

MSc students must also complete a 9,000-word dissertation project that investigates a research topic relevant to professional practice in the social sciences.

Careers with Data Analytics and Social Statistics

Graduates are prepared for high-demand roles across various industries, including public policy, market research, and education. The ability to communicate complex data to diverse audiences makes alumni suitable for positions in government agencies, such as social researchers, or within NGOs and private sector business analytics. The programme also serves as a robust conversion course for social science graduates looking to transition into technical data science vocations.