MSc Data Science

The structure of this course is currently being updated and we expect to publish any changes by December.
Work with us full or part time on our industry-focused data science master's, developing the skills you need to design and implement data science projects.
Why study data science
Bringing together skills in data management, analytics and artificial intelligence, data scientists work with organisations to draw competitive or efficiency-related insights from their data.
It's a field that's expected to soon make up at least a quarter of all digital jobs, and has been highlighted as a major skills gap in the government's recent industrial strategy.
Why UWE Bristol
If you're looking to specialise or upskill in this field, this master's will equip you to apply data science techniques in your current role and organisation, or to progress onto new work opportunities.
Looking at the full data science pipeline, you'll learn to understand organisational requirements and ethical conduct; design research studies; and employ data engineering skills to gather, transform and clean small and large-scale data.
Gain the skills and tools to design and implement data science projects and programmes to solve real business and societal issues.
Undertake exploratory analysis, using statistics, machine learning and predictive modelling.
Present and communicate results to stakeholders, and become adept at implementing production workflows and solutions.
You'll work on live data science projects, using data and issues from your own company (if applicable) and those of our industrial partners.
Where can it take me
The course has been developed as part of the Institute of Coding's University Learners employability initiative, to ensure it equips data scientists with the skills needed by industry.
Your newly-acquired skills will set you up well for work as a data scientist, business analyst, data engineer or chief data officer.

We normally require an honours degree at 2:2 or equivalent in a relevant subject. Experience with quantitative methods and/or coding is highly recommended.

Relevant subjects include: Computer Science, IT or other computing subjects, Maths, Statistics, any Engineering subject, any quantitative subject such as Physics, Chemistry, Business, Marketing, Economics, Psychology and Social Sciences.