Data Science and Statistics (Health) MSc

1 Year On Campus Masters Program

University of Bath

Program Overview

The MSc Statistics and Data Science at the University of Bath is a one-year, full-time program designed for graduates from highly numerate disciplines aiming to build strong foundations in statistics, machine learning, and data science.

The curriculum integrates advanced statistical theory, practical programming, and applied data analysis, preparing students for analytical roles in industry or further research.

  • Students can also opt for a 12-month professional placement to gain hands-on industry experience. 

Course Overview:

  • Applied data science

  • Programming for data science

  • Statistics for data science

  • Foundations and applications of machine learning

  • Statistical modelling

  • Applied data science Continued

  • Bayesian data analysis

  • Research project preparation

  • Applied statistics

  • Foundations and applications of machine learning Continued

  • Statistical design of investigations

  • Dissertation

Teaching: Delivered through lectures, computer labs, seminars, workshops, and project-based learning.

Assessment: Assessed via coursework, examinations, research project, and optional industry-based project.

Experiential Learning (Research, Projects, Internships etc.)

  • Optional 12-month professional placement with companies or public sector organisations.

  • Summer research project on topics such as deep learning in financial trading, spatiotemporal prediction for transport, and epidemiology.

  • Strong employer connections and career development support throughout the course.

Progression & Future Opportunities

  • Graduates are well-positioned for roles in major companies, start-ups, or postgraduate research.

  • Supports direct progression to further postgraduate study, including PhDs.

Program Key Stats

£29,700
£ 60
Sept Intake : 14th Jan


60 %

Eligibility Criteria


NA
NA
NA
NA
6.5
90
2:1
1220
26

Additional Information & Requirements

Career Options

  • Data Scientist
  • Machine Learning Developer
  • Statistical Analyst
  • Software Engineer
  • Python Developer
  • Data Engineer

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