Social Data Science The University of Exeter

Overview

Key Selling Points

• Our Centre for Computational Social Science uses the latest quantitative methods to study real-world issues in social sciences

• Partner to the Alan Turing Institute

• Home to Exeter's Institute for Data Science and Artificial Intelligence

• Courses developed in collaboration with industry, using current methods, platforms, software and real-world data

The Social Data Science BSc programme from The University of Exeter Key Facts are:

• You’ll receive technical training in statistical methods, Python and R and learn where social data science can be applied to analyse contemporary social issues
• Offered under the prestigious Q-Step programme, we will train you in developing data/statistical analysis and applied research skills
• Designed for those without an advanced mathematical background who wish to study data types and manipulation, web scraping, algorithms, sequences and iteration and data visualisation
• Our broad range of optional modules in your second and third years gives you the flexibility to tailor your degree to your interests and develop specialist knowledge on a range of topics

• You’ll gain a full range of social and data science skills suitable for developing careers within business intelligence and business analytics, data journalism, market research and social research with the Social Data Science programme at The University of Exeter

Lectures, seminars and workshops

The University of Exeter makes use of a variety of teaching styles, including lectures, seminars, workshops and tutorials. Most modules involve two or three lectures per week, so you would typically have about 10 lectures each week. In addition, workshops and tutorials support and develop what you’ve learnt in lectures and enable you to discuss the lecture material and coursework in more detail. You’ll have over 15 hours of direct contact time per week with your tutors and you will be expected to supplement your lectures with independent study. You should expect your total workload to average about 40 hours per week during term time.

Career opportunities:

Social Data science offers excellent employment opportunities. As a graduate you will combine technical skills (programming in Python and R, knowledge of statistical methods) and substantive knowledge of the areas where these skills can be applied. The likely career paths include business intelligence and business analytics, data journalism, market research, and social research.