Brunel’s MSc in Data Science and Analytics prepares students to analyse and extract insights from complex data using state-of-the-art technologies and statistical approaches. With a balance of theory and hands-on learning, the program is shaped by industry needs and supported by global faculty expertise.
Ranking:
Assesment: Coursework, exams, class tests, statistical modelling, programming exercises, written essays and final dissertation
Teaching: Primarily face-to-face learning (lectures, labs, seminars), online resources via Blackboard Learn, collaborative and project-based assessments
Course Overview
Core:
Data Visualisation
Research Project Management
Ethics and Governance of Digital Systems
Digital Innovation and Strategy
Machine Learning
High Performance Computational Infrastructure
Quantitative Data Analysis & Visualisation
Modern Data
Industry Engagement:
Program developed with industrial advisers
Access to SAS certification boot camp
Mentorship through Women in Engineering and Computing scheme
Real-world projects using commercial technologies
Facilities and Teaching:
Primarily face-to-face learning (lectures, labs, seminars)
Online resources via Blackboard Learn
Collaborative and project-based assessments
Employers:
Accenture, AstraZeneca, AXA, British Airways, Capgemini, Experian, HSBC, GE Healthcare, Sopra, FICO, Waitrose, PayPal
Professional Development:
Practical exposure to modern data science tools
Industry-informed curriculum
SAS certification and strong employability focus
Further Study:
Preparation for doctoral research or advanced analytics roles
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