Overview
The MSc Applied Statistics at Birkbeck, University of London focuses on the practical use of statistical methods to analyse and interpret real-world data. The programme develops strong quantitative and analytical skills while exploring topics such as statistical modelling, data analysis, probability, and computational methods. Through a combination of taught modules and an independent research project, students learn how to apply statistical techniques to problems in areas such as business, science, finance, and public policy.
Why Applied Statistics at Birkbeck, University of London?
Birkbeck stands out due to its strong academic reputation and commitment to evening study, catering to professionals balancing work and education. The university is renowned for its robust teaching methods, high staff-student ratio, and access to experienced faculty, ensuring personalised support. Additionally, the programme is accredited by the Royal Statistical Society, enabling graduates to pursue Graduate Statistician (GradStat) status. Birkbeck's interdisciplinary approach combines expertise in mathematics, statistics, and data science, fostering an enriching learning environment. The university also boasts excellent resources, including access to the Birkbeck Institute for Data Analytics and state-of-the-art computing facilities.
Tuition Fee Breakdown
- International students: £20,340 per year - National students: £11,700 per year Visit the Fees and Funding section for a breakdown in your local currency.
Syllabus
The curriculum is designed to provide a comprehensive understanding of statistical methodologies. Key components include:
- Probability and Stochastic Modelling
- Statistical Analysis
- Bayesian Methods
- Computational Statistics
- Financial Data Science with Python
- Statistical Learning
- Individually Prescribed Reading Course in Applied Statistics
- Linear and Nonlinear Optimisation
Industry Demand
The skills developed in this programme are highly sought after across various sectors, including finance, healthcare, and technology. Graduates are well-prepared to meet the increasing demand for data-driven decision-making in diverse industries.
Careers with Applied Statistics
Graduates from the Applied Statistics programme have secured roles in prominent organisations such as G-Research, CodeMagus, and Imperial College London. Alumni have successfully transitioned into various professions, including:
- Data Analyst
- Data Scientist
- Financial Risk Analyst
- Statistical Consultant
- Machine Learning Engineer
- Research Scientist
- Economist
- Operational Researcher
- Actuary
This course equips students with essential analytical skills, preparing them for impactful careers in statistics and data analysis.
Accreditation
Accredited by the Royal Statistical Society.
Programme Structure
Courses include:
- Probability and Stochastic Modelling
- Statistical Analysis
- Analysis of Dependent Data
- Bayesian Methods
- Computational Statistics
- Individually Prescribed Reading Course Applied Statistics
- Linear and Nonlinear Optimization
Key information
Duration
- Full-time
- 12 months
- Part-time
- 24 months
- Flexible
Start dates & application deadlines
- Starting
- Apply before , International
-
The university recommends that applicants apply as early as possible and at least six weeks before the start of term.
Language
Prepare for Your English Test
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
Credits
Delivered
Campus Location
- London, United Kingdom
Disciplines
Mathematics Statistics Data Science & Big Data View 132 other Masters in Statistics in United KingdomWhat students do after studying
Academic requirements
English requirements
Prepare for Your English Test
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
- A second-class honours degree (2:2) or above, with mathematics or statistics as a main subject.
- Other degrees or professional qualifications may also be acceptable, such as the Birkbeck Graduate Certificate in Statistical Data Science or the Graduate Diploma of the Royal Statistical Society.
- The application form
- Your personal details
- Your qualifications
- Your work experience
- Your personal statement
- Referees
- Statistical information
- English proficiency
Tuition Fees
-
International Applies to you
Applies to youNon-residents20340 GBP / year≈ 20340 GBP / year -
Domestic Applies to you
Applies to youCitizens or residents11700 GBP / year≈ 11700 GBP / year
Living costs
London
The living costs include the total expenses per month, covering accommodation, public transportation, utilities (electricity, internet), books and groceries.
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 Applied Statistics.
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
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