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.*
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
Key information
Duration
- Part-time
- 24 months
Start dates & application deadlines
- Starting
- Apply before , International
- Apply before , National
-
Language
IELTS & PTE Test Preparation
Admission to your dream university starts with a high IELTS or PTE score. Earn your target score with E2's guided test preparation.
- Study on your own schedule
- Live classes with current and ex-examiners
- Accurate score assesment, always
- E2 Score Guarantee - Get your score or your money back!
Credits
Delivered
Campus Location
- Nottingham, United Kingdom
Disciplines
Applied Mathematics StatisticsWhat students do after studying
Academic requirements
English requirements
IELTS & PTE Test Preparation
Admission to your dream university starts with a high IELTS or PTE score. Earn your target score with E2's guided test preparation.
- Study on your own schedule
- Live classes with current and ex-examiners
- Accurate score assesment, always
- E2 Score Guarantee - Get your score or your money back!
Other requirements
General requirements
Undergraduate degree
- A high 2:2 in mathematics or a closely related subject with substantial mathematical content.
- 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.
Tuition Fees
-
International Applies to you
Applies to youNon-residents13000 GBP / year≈ 13000 GBP / year -
Domestic Applies to you
Applies to youCitizens or residents13000 GBP / year≈ 13000 GBP / year
Funding
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.
Read more about eligibility
Read more about eligibility
Read more about eligibility
Read more about eligibility
Read more about eligibility
Read more about eligibility
Read more about eligibility
Read more about eligibility
Read more about eligibility
Read more about eligibility
Read more about eligibility
Read more about eligibility
Read more about eligibility
Read more about eligibility
Read more about eligibility
Read more about eligibility
Read more about eligibility
Read more about eligibility
Read more about eligibility
Read more about eligibility
Read more about eligibility
Read more about eligibility
Read more about eligibility
Read more about eligibility
Read more about eligibility
Read more about eligibility
Read more about eligibility
Read more about eligibility
Read more about eligibility
Read more about eligibility
Read more about eligibility
Read more about eligibility
Read more about eligibility
Read more about eligibility
Read more about eligibility
Read more about eligibility
Read more about eligibility