Program Overview

Statistical Science (Distance Learning) MSc

Overview

The Statistical Science MSc is a part-time distance learning programme, offering you the flexibility to study your way. You will develop the advanced techniques and skills required to be a successful statistician in the 21st century.

Course Details

• Duration: 24-72 months (part-time)
• Start Date: September 2025
• UK Fees: £12,410
• International Fees: £12,410
• Entry Requirements: A high 2:2 (greater than 55% or international equivalent) in mathematics or a closely related subject with substantial mathematical content.

Course Content

Year 1

• Foundations of Statistics (20 credits)
• Frequentist Statistical Inference (20 credits)
• Statistical Modelling of Discrete and Survival Data (20 credits)
• Bayesian Data Analysis: Theory, Applications and Computational Methods (20 credits)
• Statistical Machine Learning (20 credits)
• Multivariate and Time Series Analysis (20 credits)

Year 2

• Statistics Dissertation (60 credits)

Learning and Assessment

• How you will learn: Independent study, distance learning materials, lectures, eLearning
• How you will be assessed: Examinations, coursework, dissertation, short project

Entry Requirements

• Undergraduate degree: A high 2:2 (greater than 55% or international equivalent) in mathematics or a closely related subject with substantial mathematical content.
• Portfolio: Some prior knowledge of statistics would be helpful but not essential to start the course.
• Familiarity with: The basics of calculus (differentiation and integration) and linear algebra (matrices and vectors) is assumed.
• English language requirements: IELTS 6.5 (6.0 in each element.)

Funding

• Scholarships: We offer a range of international masters scholarships for high-achieving international scholars who can put their Nottingham degree to great use in their careers.
• Government loans: Available for eligible students.

Careers

• Careers advice: We offer individual careers support for all postgraduate students.
• Job prospects: Graduates go on to a wide range of careers, including banking, education, finance, healthcare, sport, and transport.
• Career progression: 96% of postgraduates from the School of Mathematical Sciences secured graduate level employment or further study within 15 months of graduation.

Related Courses

• Statistics MSc
• Statistics with Machine Learning MSc
• Machine Learning in Science MSc