Postgraduate Studentships - Search for funding opportunities.
Postgraduate Studentships - Search for funding opportunities.
Study Details: MSc - 27 months, part-time PGDip - 18 months, part-time
Learn to master social data
The field of data analytics is developing rapidly. With the rise of ever larger and more specialised datasets, it’s essential to understand how to collect, handle, evaluate and interpret data to unleash its true potential.
Through studying this fully online, part-time course, you will learn to process and analyse complex social data effectively, improving your skills and professional outcomes in the process.
Leveraging real-world data and R software, this practical course will ensure you learn applicable techniques to take into the workplace.
An Upper Second (2:1) class honours degree, or the overseas equivalent in a social science discipline.
We may also consider exceptional applicants with a Lower Second (2:2) class honours degree in a social science discipline (or the overseas equivalent), with either research experience or equivalent professional background.
See our website for fees
Professionals who can process and interpret rich data are in high demand across many different industries such as public policy, market research, education, non-profit organisations and more. Many of the significant policy challenges of our time are global, from food insecurity, war, disease and public health, and climate change. Big data plays an increasingly important role in helping social scientists understand and address these issues. Analysis of big data has the potential to reveal patterns that are not so easily understood or readily observable, leading to more robust strategies and responses.
Through studying Data Analytics and Social Statistics, you will develop the skills needed to advance in this field and drive your career forward. Learning to leverage data, you will be able to spot and predict trends and understand social behaviour more accurately. If you are looking to change careers, this course will give you a thorough grounding in big data analysis to empower you to make that move.
Data Cleaning and Visualisation Using R (20 credits)
2. Introduction to Statistical Modelling (20 credits)
3. Survey Methods and Online Research (20 credits)
4. Data Science Modelling (20 credits)
5. Multilevel and Longitudinal Analysis (20 credits)
6. Demographic Forecasting (20 credits)
7. Structural Equation Modelling (20 credits)
8. Research Skills in Practice (20 credits)
Project (40 credits)
Mandatory for MSc students
The University of Manchester’s Online and Blended Learning programmes are here to bring you flexible access to world-leading education on your terms....
