Program Overview

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Statistics MSc

Overview

Our Statistics MSc will provide you with the essential knowledge and skills for a career as a professional statistician or researcher.

Course Details

• Duration: 12 months (full-time), not available part-time
• Start Date: September 2026
• UK Fees: TBC
• International Fees: TBC
• Entry Requirements: 2:2

Course Overview

Our Statistics MSc will provide you with the essential knowledge and skills for a career as a professional statistician or researcher.

As the data we generate increases, so does the global demand for analysts who can apply modern statistical methods. On this course, you will develop specific techniques and skills that will enable you to make sense of and harness the power of data and statistics – from techniques in statistics and probability to advanced statistical inference and statistical modelling with machine learning.

For your dissertation, you’ll apply your practical knowledge to solve an industry-relevant problem. With expert guidance from academics in our Statistics and Probability section or one of our industry partners such as Capital One, you’ll see how theory transforms into practice.

With statisticians in high demand across a wide range of industries, you could go on to work in fields such as:

• Pharmaceuticals
• Finance
• Business analytics
• Healthcare
• Government policy
• Social media and technology

Why Choose This Course?

• Analytical thinking: Develop skills to think logically and critically, become competent using statistical software including R
• Scholarships available: To help fund your postgraduate course
• Top 100 in the world: For Statistics and Operational Research (QS World University Rankings by Subject 2025)
• Flexible programme: With a broad range of modules influenced by our research expertise
• Expand your network: Interact with other MSc students
• Ranked top 3 in the UK: For research environment (REF 2021)

Course Content

This course follows a modular structure, with students completing 180 credits over a 12-month period. Students will complete:

• 60 credits of core modules in the autumn semester
• 20 credits of core modules and 40 credits of optional modules in the spring semester
• A 60-credit dissertation in the summer semester

Core Modules

• Statistical Foundations: In this module, the fundamental principles and techniques underlying modern statistical and data analysis will be introduced.
• Statistics Dissertation: You will work on a substantial investigation on a topic in statistics or probability.
• Advanced Statistical Inference: This module will look at developing the concepts of frequentist and classical statistical inference.
• Statistical Modelling with Machine Learning: Modelling is a fundamental part of statistics, enabling us to analyse and interpret data to understand the world and make predictions.

Optional Modules

• Applied Multivariate Statistics: This module will help broaden your knowledge of statistics by introducing important contemporary topics in multivariate analysis.
• Data Science for Structured Data: This module will cover several commonly occurring time series (temporal) models and their derived properties.
• Neural Networks and AI: This module covers topics at the intersection between statistics and computer science, such as models that can adapt to and make predictions based on data.
• Computational Statistics: This module explores how computers allow the easy implementation of standard, but computationally intensive, statistical methods and also explores their use in the solution of non-standard analytically intractable problems by innovative numerical methods.
• Statistical Machine Learning: This module is a topic at the interface between statistics and computer science, concerning models that can adapt to and make predictions based on data.

Learning and Assessment

How You Will Learn

You will broaden and deepen your knowledge of mathematical ideas and statistical techniques using a wide variety of different methods of study. Some modules will be taught alongside students from other courses.

• Teaching methods:
  • Lectures
  • Computer labs
  • Reports
  • Group projects
  • Workshops
  • Presentations

How You Will Be Assessed

You will be awarded the Master of Science Degree provided you have successfully completed the taught stage by achieving a weighted average mark of at least 50% with no more than 40 credits below 50% and at most 20 credits below 40%.

You must also achieve a mark of at least 50% in the dissertation.

• Assessment methods:
  • Coursework
  • Dissertation
  • Examinations
  • Project work

Entry Requirements

• Undergraduate degree: 2:2 (lower second-class honours degree or international equivalent) in mathematics or a closely related subject with substantial mathematical content
• Portfolio: Applicants should have a solid background in mathematics including calculus, linear algebra, probability and statistics at degree level
• International and EU equivalents: We accept a wide range of qualifications from all over the world
• English language requirements: IELTS 6.0 (no less than 5.5 in each element)

Fees

• Qualification: MSc
• Home / UK: To be confirmed
• International: To be confirmed

Funding

• School scholarships for UoN international alumni: We invite our alumni to continue with us for masters study within The School of Mathematical Sciences
• Postgraduate funding: We also offer a range of international masters scholarships for high-achieving international scholars who can put their Nottingham degree to great use in their careers

Careers

• Careers advice: We offer individual careers support for all postgraduate students
• Job prospects: Statisticians are required to work in many sectors including banking, education, finance, healthcare, sport and transport
• Partnerships: Collaboration with Nottingham-based Capital One who we have worked with to set previous research project titles

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