MSc Statistics
Birmingham, United Kingdom
DURATION
1 Years
LANGUAGES
English
PACE
Full time
APPLICATION DEADLINE
Request application deadline *
EARLIEST START DATE
Request earliest startdate
TUITION FEES
GBP 10,530 / per year **
STUDY FORMAT
On-Campus
* for UK students I International applications will close 7 May 2024
** for UK students| £27,270 for international students
Introduction
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 modelling and analysis.
The MSc Statistics programme offers a comprehensive curriculum encompassing foundational and advanced statistical principles and techniques, coupled with intensive data analysis training. We aim 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 an 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-world applications.
Admissions
Scholarships and Funding
Postgraduate Loans (PGL) for Masters students
UK and EU students (with settled or pre-settled status) looking to pursue a Master's 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 contribute towards the costs of Masters study and whether the loan is used towards fees, maintenance or other costs is at your discretion.
Scholarships
We offer a range of postgraduate scholarships for taught programs and research opportunities to ensure the very best talent is nurtured and supported at the postgraduate level.
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 web pages before applying.
Curriculum
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 have 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 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.
Teaching and assessment
In this programme, you will engage in master-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 modelling 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.
Program Tuition Fee
Career Opportunities
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.