Postgraduate Studentships - Search for funding opportunities.
Postgraduate Studentships - Search for funding opportunities.
Study Details: 18-27 months, part-time
If you are interested in upskilling and discovering the power of data for predicting trends and improving outcomes, this course is ideal. Data Analytics and Social Statistics is designed for any professional working in an industry which uses big data and social data. It is multidisciplinary, using methods that are applicable and relevant in diverse fields, from education, health, and business analytics, to public, private and non-profit sectors such as charities and NGOs.
Whether you have a background in data analytics or are looking for a big data course to gain this knowledge, this course offers a thorough grounding in this exciting field. Incorporating data collection, analysis, and presentation, with acknowledgement of big data and machine learning, this course will ensure you are at the forefront of developments in social data analysis.
This course is suitable for both working professionals who already work in this field and those who wish to change careers. Extensive experience in big data or heavy mathematics skills are not required. If you do not have professional experience in data analytics but have a strong background in social sciences, you can use this course as a conversion to transition into a new vocation in this dynamic field.
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 if you have research experience or equivalent professional experience.
If you chose to study on a PGDip level and would like to build your qualification to an MSc, you will have to obtain a 50% pass mark on taught units.
Please see our website
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.
1. Data Cleaning and Visualisation Using R (20 credits)
2. Introduction to Statistical Modelling (20 credits)
3. Data Science Modelling (20 credits)
4. Survey Methods and Online Research (20 credits)
5. Multilevel and Longitudinal Analysis (20 credits)
6. Demographic Forecasting (20 credits) Optional unit
Project (40 credits) Mandatory for MSc students
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