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Statistics with Data Science MSc

Postgraduate Taught

Course code

P-G4P1

Start date

27 September 2027

Study location

University of Warwick

Qualification

Master of Science (MSc)

Department

Department of Statistics

Duration

1 year full-time

Course overview

Master statistics in the age of data.

Data is transforming every sector of the modern economy. From healthcare to marketing, organisations need professionals who can extract meaningful insights from complex information. Through rigorous statistical training, our MSc equips you with the analytical, computational and problem-solving skills needed to thrive in a data-driven world. Graduates are well prepared for PhD study, or careers in sectors such as marketing, insurance, banking and pharmaceuticals.

Group of people gathered around a chalkboard as one person writes equations.

Modules

Develop expertise in statistics, data science and computational methods.

  • Statistical foundations: build a strong understanding of modern statistical theory and practice
  • Data science theory: explore the principles underpinning data science
  • Specialist techniques: study topics such as statistical learning and big data, Bayesian forecasting and Monte Carlo methods
  • Computational skills: enhance your expertise in areas such as high-performance computing, natural language processing and image & video analysis

Note that information found by following the links to the module catalogue is subject to change for future years of study, as we evolve our courses in response to the latest developments in academia and industry.

Further to the core modules students choose 5 optional modules.

For the MSc in Statistics with Data Science your optional modules are geared towards covering themes in Bayesian statistics, machine learning, statistical learning, topics in data science, Monte Carlo methods.

Subject to availability, you will also have access to a varying selection of modules from the Computer Science Department.

Availability of optional modules can change from year to year but may include the following examples:

You may also choose up to three modules from a broad range of statistics and probability modules available on the MSc in Statistics.

Teaching and learning

Combine statistical rigour with practical data science expertise.

  • Analytical thinking: learn to interpret complex data and draw robust conclusions
  • Technical expertise: develop advanced quantitative and computational skills
  • Real-world applications: tackle data-driven challenges across a range of industries

Entry requirements

Fees and scholarships

Tuition fees are payable for each year of your course at the start of the academic year, or at the start of your course, if later. Academic fees cover the cost of tuition, examinations and assessment and some student amenities.

Find your course fees

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