Overview

Within this Statistical Science (Distance Learning) MSc programme from the University of Nottingham as the data we generate increases, so does the global demand for analysts who can apply modern statistical methods to make sense of it. The MSc ensures you will gain the skills to go from exploring a data set, to modelling and analysing the data, through to presenting your findings in a variety of ways.

You will develop:

essential statistical knowledge
analytical skills
computational expertise
interpretive and communicative skills

You will study the core statistical concepts of inference and modelling. As you progress, you will cover advanced topics in machine learning, multivariate statistics and time series. These topics will develop your understanding of modern statistical techniques, leading to a dissertation which lets you demonstrate the skills you have gained and develop your ability to study independently. You will be supported by expert lecturers and leading statistical experts and researchers throughout the MSc.

Career opportunities:

Alongside their statistical knowledge, graduates will leave the course with valuable skills in:

logical thinking
problem-solving
data analysis and manipulation
communicating statistical findings

Graduates go on to a wide range of careers. Some enter roles that have a direct correlation to their degree, including banking, education and finance. Others utilise their transferable skills in sectors such as healthcare, sport and transport.

An MSc in statistics also opens up opportunities in data science.

84.8% of postgraduate taught students from the School of Mathematical Sciences secured graduate level employment or further study within 15 months of graduation. The average annual salary for these graduates was £30,374.*

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Programme Structure

Courses include:

Frequentist Statistical Inference

Statistical Modelling of Discrete and Survival Data

Bayesian Data Analysis: Theory, Applications and Computational Methods

Statistical Machine Learning

Multivariate and Time Series Analysis

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Key information

Duration

Part-time
- 24 months

Start dates & application deadlines

Starting 2026-09-21 00:00:00
- Apply before 2026-08-03 00:00:00 , International
- Apply before 2026-08-24 00:00:00 , National

Language

English

TOEFL^® IBT

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PTE Academic

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IELTS

6.5

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Credits

180 alternative credits

Delivered

Online

Campus Location

Nottingham, United Kingdom

Disciplines

Applied Mathematics Statistics

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Academic requirements

GPA

Lower Second Class

English requirements

TOEFL^® IBT

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PTE Academic

Schedule a PTE test!

IELTS

6.5

Prepare for Your English Test

Cathoven AI IELTS Preparation

Learn your IELTS Score

AI-powered IELTS feedback. Clear, actionable, and tailored to boost your writing & speaking score. No credit card or upfront payment required.

Trusted by 300k learners
98 accuracy using real exam data
4.9/5 student rating

Other requirements

General requirements

Undergraduate degree

A high 2:2 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.

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Tuition Fees

Additional Details

To Be Confirmed

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Funding

Win a €10000 Scholarship! Deadline: 30 June 2020

Embark on your journey with the Studyportals Scholarship! We're giving away a total of 20,000 euros to help you achieve your dream of studying abroad.

Win a €10000 Scholarship! Deadline: 30 June 2020

Embark on your journey with the Studyportals Scholarship! We're giving away a total of 20,000 euros to help you achieve your dream of studying abroad.

In order for us to give you accurate scholarship information, we ask that you please confirm a few details and create an account with us.

Scholarships Information

Below you will find Master's scholarship opportunities for Statistical Science (Distance Learning).

Available Scholarships

You are eligible to apply for these scholarships but a selection process will still be applied by the provider.

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About

Overview

Career opportunities:

Get more details

Programme Structure

Check out the full curriculum

Key information

Duration

Start dates & application deadlines

Language

Prepare for Your English Test

Credits

Delivered

Campus Location

Disciplines

Explore more key information

What students do after studying

Academic requirements

English requirements

Prepare for Your English Test

Other requirements

General requirements

Make sure you meet all requirements

Tuition Fees

Additional Details

Funding

Scholarships Information

Available Scholarships

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