There are two compulsory courses: Practical Introduction to Data Science and Introductory Probability and Statistics. You are also required to take a programming course (either Introduction to Python Programming for Data Science or Programming Skills) and a project preparation course in advance of starting the dissertation. You can choose from a selection of elective courses to make up the remainder of your taught credits – you have the freedom to create your own pathway from a variety of options.
There are two dissertation courses to choose from - one from the School of Informatics and one from the School of Social and Political Sciences.
Elective courses
Data Ethics in Health and Social Care
Data Science for Manufacturing
Engaging with Digital Research
Innovation-Driven Entrepreneurship
Introduction to Bioinformatics
Leading Technology and Innovation in Organisations
Practical Introduction to High Performance Computing