Statistics Masters/MSc

Start date
September
Duration
1 year full-time
Course Type
Postgraduate, Taught
Fees

We charge an annual tuition fee. Fees for 2024/25:
£10,530 - UK students
£27,270 - International Students
Further fee information is available.

This programme transcends traditional academic boundaries, representing a strategic response to a critical need in the professional sphere. By seamlessly integrating statistical theory with practical application, it equips you with versatile skills in modeling and analysis.

Scholarships for 2024 entry

The University of Birmingham is proud to offer a range of scholarships for our postgraduate programmes. With a scholarship pot worth over £2 million, we are committed to alleviating financial barriers to support you in taking your next steps.

Each scholarship has its own specific deadlines and eligibility criteria. Please familiarise yourself with the information on individual scholarship webpages prior to submitting an application.

Explore our scholarships

The MSc Statistics programme offers a comprehensive curriculum that encompasses both foundational and advanced statistical principles and techniques, coupled with intensive data analysis training. Our aim is to equip you with the capacity to develop and apply sophisticated statistical models, utilizing computational techniques and advanced statistical software. This programme is designed not only to enhance your statistical problem-solving abilities but also to teach skills relevant to addressing contemporary challenges at the forefront of statistical research.

In addition to technical prowess, the programme places a strong emphasis on the development of a written project and independent approach to work. These skills are crucial in effectively communicating complex statistical findings to a diverse range of audiences.

The current landscape reveals a significant deficit in professionals proficient in statistical analysis, a gap that is projected to widen in the future. Our programme addresses this gap by nurturing highly qualified statisticians equipped to contribute meaningfully across various sectors, including economics, medicine, finance, insurance, and industrial management.

Graduates of this programme will be uniquely positioned to integrate statistical expertise with practical problem-solving, providing reasoned and analytical solutions to complex issues.

Why study Statistics Masters at Birmingham?

  • To develop a deep understanding of statistical theory: This involves gaining a comprehensive knowledge of core statistical concepts, theories, and methodologies.
  • To carry out critical analysis of problems based on the fundamental principles of statistics: It involves using statistical principles to assess the validity, reliability, and significance of data, thus ensuring accurate conclusions and informed decision-making.
  • To proficiently use statistical software packages for analysis: This aspect focuses on the practical application of statistics through the mastery of various statistical software tools.
  • To apply a range of statistical techniques in broader and unfamiliar environments: This skill is about adapting and applying statistical knowledge and methods to diverse and novel situations that arise from real word applications.

Meet Holly Holly standing in an atrium

Holly is a MSc student in the School of Mathematics at Birmingham. In her blog, she talks about her experience of studying, covering topics from how the subject is regarded by employers to offering advice to those considering the subject.

Read Holly's blog >> 

Modules

The course consists of 180 credits, two-thirds from taught modules and one-third from your research project.

Core modules

  • Bayesian Inference and Computation - 20 credits
  • Computational Statistics - 20 credits
  • Foundations of Statistical Inference - 20 credits
  • Nonparametric Statistics - 10 credits
  • Statistical Machine Learning - 20 credits
  • Statistical Modelling - 20 credits
  • Time Series and Prediction - 10 credits
  • Project in Statistics - 60 credits

If you have already taken LH Applied Statistics during your undergraduate studies then you will not take the core module LM Statistical Machine Learning, and if you already taken LH Statistical Methods in Finance and Economics during your undergraduate studies then you will not take LM Statistical Modelling. Instead you choose alternative modules from the following list in order to have a total of 180 credits:

  • Data Visualisation - 10 credits
  • Medical Statistics - 20 credits
  • Numerical Methods and Numerical Linear Algebra - 20 credits
  • Stochastic Processes - 20 credits

Please note: The modules listed on the website for this programme are regularly reviewed to ensure they are up-to-date and informed by the latest research and teaching methods.

Fees

Annual tuition fee for 2024/25

  • £10,530 - UK students
  • £27,270 - International Students

Are you an international applicant?

All international applicants to this course will be required to pay a non-refundable deposit of £2,000 on receipt of an offer, to secure their place.

Find out more about the deposit >>.

Postgraduate Loans (PGL) for Masters students

UK and EU students (with settled or pre-settled status) looking to pursue a Masters programme in the UK can apply for a non-means-tested loan from the British government via the Student Loans Company (SLC).

The loan will be paid directly to you, into a UK bank account. It is intended to provide a contribution towards the costs of Masters study and whether the loan is used towards fees, maintenance or other costs is at your own discretion.

Learn more about applying for PGL 

 

Scholarships

We offer a range of postgraduate scholarships for taught programmes and research opportunities to ensure the very best talent is nurtured and supported at postgraduate level.

Scholarships for 2024 entry

The University of Birmingham is proud to offer a range of scholarships for our postgraduate programmes. With a scholarship pot worth over £2 million, we are committed to alleviating financial barriers to support you in taking your next steps.

Each scholarship has its own specific deadlines and eligibility criteria. Please familiarise yourself with the information on individual scholarship webpages prior to submitting an application.

Explore our scholarships

 

How To Apply

International applicants requiring visas

Applications to this programme from students who are international for fees will close 7 May 2024. We will close applications as soon as the programme is full, early applications are encouraged.

UK and non-Tier 4 applicants

Applications will close 31 August 2024. We will close applications as soon as the programme is full, early applications are encouraged.

How to apply

To apply for a postgraduate taught programme, you will need to submit your application and supporting documents online. We have put together some helpful information on the taught programme application process and supporting documents on our how to apply page. Please read this information carefully before completing your application.

Apply now

Our Standard Requirements

A 2:1 Honours degree in Mathematics and/or Statistics or a programme with advanced mathematical and/or statistical components.

This programme is aimed at students who have previously completed an undergraduate degree with significant mathematical or statistical content and who wish to pursue postgraduate studies to a master level.

International Requirements



International Students

English language

For students whose first language is not English, one of the following English language qualifications is required:

 
  • IELTS 6.0 with no less than 5.5 in any band
  • TOEFL: 80 overall with no less than 19 in Reading, 19 in Listening, 21 in Speaking and 19 in Writing
  • Pearson Test of English (PTE) including online: Academic 64 with no less than 59 in all four skills
  • Cambridge English (exams taken from 2015): Advanced – minimum overall score of 169, with no less than 162 in any component

In this programme, you will engage in master's-level courses covering both advanced theory and the practical applications of statistics, supplemented by courses in modern computational techniques and data analysis.

Additionally, you will undertake a research project under the guidance of research leaders in various areas of statistical modeling and computation. These courses, combined with the project, will furnish you with relevant training in quantitative analysis.

This journey will empower you with interdisciplinary research capabilities and sharpen your communication skills, equipping you with versatile tools essential for a dynamic and successful career in the ever-evolving field of Statistics.

Graduates with an MSc in Statistics are highly sought after in a diverse range of industries, thanks to their specialized skills in data analysis, predictive modeling, and machine learning. Their expertise is crucial in sectors such as finance, healthcare, technology, and government, especially in an era where big data drives decision-making.

Statisticians also play pivotal roles in research, public policy, and the burgeoning fields of healthcare and pharmaceuticals, contributing significantly to clinical trials and drug development. The financial and insurance sectors value their proficiency in risk assessment, while technology companies and startups are increasingly reliant on their skills for data optimization and algorithm development.

This broad spectrum of opportunities, combined with the high demand for statistical expertise, not only ensures a wide range of career paths but also offers the potential for rewarding salaries, underscoring the high employability and significance of statisticians in today's data-driven world.