Data Science MSc

The MSc in Data Science at Kingston University provides strong practical training in data management, analytics, machine learning, and computational modelling. It suits students with computing, mathematics, engineering, or quantitative backgrounds aiming for data-science or analytics careers.

Curriculum Structure

Year of Study (Full-time, 1 Year)

Students begin with Databases and Data Management, gaining skills in data modelling, storage, warehousing and big-data systems. They then study Applied Data Programming and Data Analytics and Visualisation, learning programming for data processing, analytical methods, and techniques for presenting insights.

Mid-year, they take Machine Learning and Artificial Intelligence, where they apply statistical and ML algorithms to real datasets for predictive modelling and pattern recognition. The programme concludes with a Major Project, allowing students to design and deliver a complete data-science solution that integrates programming, analysis, modelling and visualisation.

Focus areas: “Data management, applied programming, analytics & visualisation, machine learning & AI, big-data handling, independent project”

Learning outcomes: “Build and manage datasets; write data-processing programs; apply ML and analytical models; visualise and interpret complex data; complete a full data-science project; prepare for data-focused professional roles.”

Professional alignment (accreditation): Accredited by the British Computer Society (BCS), supporting strong professional standards and pathways toward chartered IT recognition.

Reputation (employability): Kingston University is known for industry-focused computing programmes, and graduates from this MSc enter roles as data scientists, analysts, engineers and ML specialists across business, tech, finance, and public sectors.