BSc Data Science and Analytics with Foundation
About this course
Data science and analytics is the discipline of extracting meaning from data: designing the methods to collect and store it, applying statistical and computational techniques to analyse it, and communicating the insights that emerge in ways that inform decisions. In a world where enormous volumes of data are generated continuously, the ability to make sense of that data is valuable across virtually every sector of the economy. This degree prepares you for roles at the heart of that transformation. At the University of Westminster, the four-year full-time programme begins with a foundation year, which builds the mathematical, computational and analytical foundations you need before progressing onto the full honours degree. You will study core areas of data science including statistics, machine learning, data engineering, data visualisation, programming and database design. The degree includes a sandwich year and a work placement, giving you the opportunity to apply your skills in a professional environment and to understand how data science functions in real organisations. Westminster's London location places you in close proximity to a wide range of employers across finance, technology, marketing, healthcare, retail and the public sector, all of which employ data scientists. The degree develops both technical capability and the ability to think analytically about problems and communicate findings clearly to non-technical audiences. Data scientists who can bridge the gap between rigorous analysis and practical decision-making are in high demand, and the placement element of the programme is designed to help you build exactly that kind of professional effectiveness. Graduates of data science programmes work as data analysts, data scientists, business intelligence analysts, machine learning engineers and data engineers across a wide range of industries. Postgraduate study in data science, statistics, computer science or a domain-specific application area is a natural continuation for those who want to specialise.
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