Overview
Why Applied Statistics at Birkbeck, University of London?
The M.Sc. in Applied Statistics at Birkbeck is highly regarded for its comprehensive curriculum and strong faculty support. The university is known for its favourable staff-to-student ratio, ensuring personalised attention and high-quality teaching. Birkbeck's programme is accredited by the Royal Statistical Society (RSS), which allows graduates to pursue Graduate Statistician (GradStat) status. The course is led by experienced statisticians and mathematicians who are actively involved in research, providing students with insights into the latest developments in the field.
Tuition Fee Breakdown
The tuition fees for the M.Sc. in Applied Statistics are structured as follows:
- National Students: £3,900 per year
- International Students: £6,780 per year
Visit the Fees and Funding section for a breakdown in your local currency.
Syllabus
The curriculum of the M.Sc. in Applied Statistics is designed to blend theoretical knowledge with practical skills. Students will cover a range of topics, including:
- Probability and Stochastic Modelling
- Statistical Analysis
- Bayesian Methods
- Computational Statistics
- Financial Data Science with Python
- Statistical Learning
- Generalised Linear Models
- Regression Analysis
- ANOVA
The course structure consists of core modules and option modules, culminating in a project that applies statistical techniques to real-world problems.
Industry Demand
The skills acquired through the M.Sc. in Applied Statistics are in high demand across various sectors, including finance, healthcare, and technology. Graduates are well-prepared to tackle complex data challenges and contribute to data-driven decision-making processes.
Guaranteed Work Experience
This course does not explicitly offer guaranteed work experience; however, it provides ample opportunities for practical application through projects and case studies.
Careers with Applied Statistics
Graduates of the M.Sc. in Applied Statistics can pursue a variety of career paths. Alumni have found employment in prestigious organisations such as G-Research, CodeMagus, the Centre for Policy Studies, and Imperial College London. Potential job roles include:
- Data Analyst
- Data Scientist
- Financial Risk Analyst
- Statistician
- Machine Learning Engineer
- Research Scientist
- Economist
- Operational Researcher
The programme equips students with essential skills, including statistical modelling, data analysis, and effective communication of findings, making them valuable assets in their respective fields.
Programme Structure
Courses include:
- Probability and distribution theory
- Statistical inference
- Markov chains
- Multiple linear regression
- Generalised linear modelling
- Experimental design
- Probability and Stochastic Modelling
- Statistical Analysis
Key information
Duration
- Part-time
- 12 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 Applied Mathematics Statistics View 43 other Masters in Applied Mathematics 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 Statistics 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-residents6780 GBP / year≈ 6780 GBP / year -
Domestic Applies to you
Applies to youCitizens or residents3900 GBP / year≈ 3900 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
Need help with your student visa?
Get personalized guidance from a certified VFS Global advisor and save 20% through Studyportals.
- Avoid common visa mistakes and delays
- Know exactly what documents you need
- Get a clear checklist tailored to your situation
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 (Part-time).
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
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