MSc Data Science and Statistics (Health) including placement year

2 Year On Campus Masters Program

University of Bath

Program Overview

The MSc Statistics and Data Science with Professional Placement at the University of Bath is a two-year program designed for graduates from numerate disciplines who wish to develop advanced statistical, programming, and data science skills alongside real-world industry experience.

The first year focuses on core training in statistics, machine learning, and software technologies, while the second year offers a 12-month optional professional placement with established companies or innovative start-ups. 

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

  • Professional Placement

  • Dissertation

 

Teaching: Delivered through a mix of lectures, labs, workshops, and project-based learning.

Assessment: Assessed via coursework, exams, dissertation, and industry-based project (if placement is undertaken).

Experiential Learning (Research, Projects, Internships etc.)

  • Optional 12-month professional placement in Year 2 with companies like EDF, Intel, AtomX Digital, and Infomentum.

  • Practical industry-based projects and real-world applications of data science.

  • Extensive career support and employer engagement throughout the program.

Progression & Future Opportunities

  • Strong preparation for data science and analytics careers across industries.

  • Direct pathways to further postgraduate research or PhD studies.

  • Significant industry exposure through the placement year enhances employability.

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
  • Python Developer
  • Software Engineer
  • Statistical Analyst
  • Data Engineer

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