Program Overview

Statistics with Data Analytics MSc

The Statistics with Data Analytics MSc at Brunel University is designed to train the next generation of statisticians with a focus on the field of data analytics. This master's programme provides a unique and coherent blend of modern statistical methods together with the associated computational skills that are essential for handling large quantities of unstructured data.

Key Information

• Start date: September
• Subject area: Mathematics
• Mode of study: 1 year full-time, 2 years part-time
• Fees:
  • 2026/27:
    • UK: £14,435 full-time, £7,215 part-time
    • International: £24,795 full-time, £12,395 part-time
• Entry requirements: A 2:2 (or above) UK honours degree or equivalent, internationally recognised qualification in numerate disciplines with adequate content in statistics.

Course Content

The programme consists of eight compulsory modules and a statistics with data analytics dissertation. The first term provides a thorough grounding in core programming, statistical and data analysis skills. Modules include:

• Advanced Computational Statistics for Data Analytics
• Data Mining and AI for Big Data Analytics
• Financial Markets
• Fundamentals of Machine Learning
• Probability and Stochastics
• Quantitative Data Analysis and Visualisation
• Research Methods and Case Studies
• Time Series Forecasting and Risk Modelling
• Dissertation

Careers and Your Future

By the end of this programme, you will have acquired an advanced level of statistical knowledge and data analytical skills, allowing you to work as an independent expert within a multidisciplinary team. Career paths may include data science, the financial sector, or the health sector.

Teaching and Learning

The course will be delivered through a combination of lectures, computer labs, and discussion groups. Lectures will primarily be delivered in-person on campus, with some online sessions. Support for academic and personal growth is provided through workshops covering topics such as data protection, critical thinking, presentation skills, and technical writing skills.

Assessment and Feedback

Assessment will be through a balance of coursework and examinations, including written reports, group work, presentations, conceptual/statistical modelling, and programming exercises. Class tests will also be used to assess knowledge and understanding.

Location of Study

The programme will be based at Brunel University's campus in Uxbridge, Middlesex, providing access to a range of facilities and resources.