University of Birmingham - College of Engineering and Physical Sciences
MSc StatisticsBirmingham, United Kingdom
DURATION
1 year
LANGUAGES
English
PACE
Full time
APPLICATION DEADLINE
29 Aug 2025*
EARLIEST START DATE
Sep 2025
TUITION FEES
GBP 10,900 / per year **
STUDY FORMAT
On-Campus
* for UK students I International applications will close 7 May 2024
** for UK students| £31,390 for international students
Key Summary
Visit our Postgraduate Open Day - Saturday 28 June 2025
Discover why we are the UK university most targeted by top graduate employers ('Graduate Market in 2024' High Fliers report) at our on-campus Postgraduate Open Day.
Introduction
Propel your career forward by tackling real-world challenges through statistical analysis. Enhance your statistical problem solving by developing and applying sophisticated statistical models, and by using computational techniques and advanced statistical software.
Our course offers a blend of statistical theory and practical applications, preparing you for a wide range of careers in finance, healthcare, technology and government.
Study advanced statistical techniques and machine learning algorithms tailored to various sectors including economics, medicine, finance, insurance, and industrial management. We blend foundational knowledge with practical skills to equip you for success in today's competitive job market. You'll be taught a wide range of modules, allowing you to explore advanced topics such as statistcal modelling and computational statistics.
- Benefit from mastering various statistical software packages for practical analysis, enhancing your ability to use various statistical methods in real world applications.
- Apply a range of statistical techniques to diverse and unfamiliar environments, adapting your skills to tackle novel challenges in various fields.
- Develop a deep understanding of statistical theory, gaining comprehensive knowledge of core concepts, theories, and methodologies essential for informed decision-making.
Admissions
Scholarships and Funding
To help you afford your studies, we’ve put more than £33 million into student support and scholarships. We also offer a range of advice on searching for funding and managing your finances.
Curriculum
This programme is a 1-year full-time taught master's degree (180 credits) consisting of 120 credits of taught modules and a 60 credit research project. The dissertation is completed under the direction of a project supervisor who will give you the opportunity to work one-to-one with a leading expert in their field.
The modules listed below are an indication only and may be subject to change. Occasionally, it may be necessary to make changes to modules, for example, to ensure they remain current and relevant.
Core modules
Module Title
- Bayesian Inference and Computation
- Computational Statistics
- Foundations of Statistical Inference
- Nonparametric Statistics
- Statistical Machine Learning
- Statistical Modelling
- Statistics Project
- Time Series and Prediction
If you have already taken Applied Statistics during your undergraduate studies then you will not take the compulsory module Statistical Machine Learning.
Alos, if you have already taken Statistical Methods in Finance and Economics during you undergraduate studies you will not take Statistical Modelling, therefore select alternative modules from the following list in order to have a total of 180 credits:
Module Title
- Data Visualisation
- Deep Learning 1
- Medical Statistics
- Numerical Methods and Numerical Linear Algebra
- Stochastic Processes
Program Tuition Fee
Career Opportunities
"Your skills will be highly sought after in a diverse range of industries. Our course gives you specialist skills in data analysis, Predictive modeling and machine learning. This expertise is crucial in sectors such as finance, healthcare, technology and government especially as big data drives decision-making.
This broad spectrum of opportunities and the high demand for statistical expertise opens up a world of opportunities for statisticians in our data-driven world.
Program delivery
Our world-class research and a vibrant, global student community are at the heart of our School of Mathematics. You'll take part tutorials and projects to consolidate your learning. In the third term, you'll work with your personal supervisor to conduct a research project.
- Learn about cutting-edge developments in your chosen areas of interest, with lectures delivered by world-leaders in their fields.
- Receive tailored guidance and feedback in tutorials, enabling you to tackle specific challenges and enhance comprehension of the material.
- Participate in projects that bridge theoretical knowledge with practical applications, enhancing your understanding and retention of concepts.
- Enhance your critical thinking and problem-solving abilities through practical assignments that will challenge you to tackle real-life issues independently.