Applied Statistics
MSc, PG Cert
Application options include:
Course Overview
This applied statistics course is ideal if you are considering a career move into statistics, or if your work already involves aspects of data collection and exploration, interpretation of statistics, or modelling and forecasting time-dependent phenomena. It delivers a strong theoretical background but is also practically oriented to develop your ability to tackle new and non-standard problems with confidence.
Why choose this course?
- This course offers you a comprehensive curriculum covering frequentist and Bayesian methods, statistical machine learning and advanced computational techniques.
- It has a favourable staff-student ratio to ensure high-quality teaching and support, with time for one-on-one consultation as needed.
- It is accredited by the Royal Statistical Society (RSS), so that our graduates may be eligible to attain Graduate Statistician (GradStat) status.
- It benefits from being led by experienced statisticians and mathematicians with active research interests in theoretical and applied statistics.
What you will learn
We emphasise the mutual dependence of practice and theory throughout the course, with a focus on hands-on application through real-world datasets to equip you with the skills to analyse and interpret complex data and communicate findings effectively.
You will learn to formulate real-world problems as statistical models and implement them using statistical software. You will also gain a solid grounding in core statistical methodologies, including:
- regression
- ANOVA
- generalised linear models along with an introduction to Bayesian modelling
- a wide variety of advanced computational statistics and machine learning methods.
How you will learn
Teaching on this course is through a combination of lectures (pre-recorded), seminars and practical computing sessions. In lectures an overview of the topic engages you with the material through theory, worked problems and example applications. Seminars are focused around discussion and problem-solving while computing sessions allow you to gain practical experience in the analysis and modelling of data.
This course is available to study full- or part-time. It has an evening timetable with classes taking place in the evening, so that you can fit your studies in around other work or family commitments. You will also be supported by comprehensive resources, including a dedicated subject librarian and high-quality recordings of lectures.
We offer this course as a Master’s and a Postgraduate Certificate. For the Certificate, you study fewer modules and do not complete a dissertation.
Discover the career opportunities available by taking Applied Statistics (MSc, PG Cert).
Key information and modules
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Applied Statistics MSc: 1 year full-time, on campus, starting October 2025
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Applied Statistics MSc: 2 years part-time, on campus, starting October 2025
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Applied Statistics PG Cert: 1 year part-time, on campus, starting October 2025
Find another course:
Highlights
- We bring together research and teaching across computer science, mathematics and statistics which creates significant interdisciplinary synergies.
- We have active research groups in Algorithms, Data Science and Artificial Intelligence, Logical Methods, and two research centres: Birkbeck Institute for Data Analytics and Birkbeck Knowledge Lab, that host visiting speakers and organise seminars you can attend.
- You will have access to a wide range of study resources, including University of London seminar programmes in probability and statistics, and excellent library facilities close by in Bloomsbury. Extensive computing facilities include PCs and UNIX platforms.
- You will be studying alongside a diverse group of passionate and enthusiastic students from various backgrounds, careers and cultures, including professionals in data science, finance, economics and computer science.
Birkbeck makes all reasonable efforts to deliver educational services, modules and programmes of study as described on our website. In the event that there are material changes to our offering (for example, due to matters beyond our control), we will update applicant and student facing information as quickly as possible and offer alternatives to applicants, offer-holders and current students.
Most of our courses are taught in the evenings, however some of our courses offer a daytime timetable. Where there is an option to attend daytime teaching sessions, this is stated in the Key Information section under Attendance.
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Entry 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 for Data Science or the Graduate Diploma of the Royal Statistical Society.
Applications are reviewed on their individual merits and your professional qualifications and/or relevant work experience will be taken into consideration positively. We actively support and encourage applications from mature learners.
On your application form, please list all your relevant qualifications and experience, including those you expect to achieve.
Apply now to secure your place. The earlier you apply, the sooner your application can be considered and you can enrol. You do not need to have completed your current qualification to start your application.
English language requirements
If English is not your first language or you have not previously studied in English, the requirement for this programme is the equivalent of an International English Language Testing System (IELTS Academic Test) score of 6.5, with not less than 6.0 in each of the sub-tests.
If you don't meet the minimum IELTS requirement, we offer pre-sessional English courses and foundation programmes to help you improve your English language skills and get your place at Birkbeck.
Visit the International section of our website to find out more about our English language entry requirements and relevant requirements by country.
Visa and funding requirements
If you are not from the UK and you do not already have residency here, you may need to apply for a visa.
The visa you apply for varies according to the length of your course:
- Courses of more than six months' duration: Student visa
- Courses of less than six months' duration: Standard Visitor visa
International students who require a Student visa should apply for our full-time courses as these qualify for Student visa sponsorship. If you are living in the UK on a Student visa, you will not be eligible to enrol as a student on Birkbeck's part-time courses (with the exception of some modules).
For full information, read our visa information for international students page.
Please also visit the international section of our website to find out more about relevant visa and funding requirements by country.
Please note students receiving US Federal Aid are only able to apply for in-person, on-campus programmes which will have no elements of online study.
Credits and accredited prior learning (APL)
If you have studied at university, you may have accumulated credits through the modules you studied. It may be possible to transfer these credits from your previous study to Birkbeck or another institution.
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Fees
Applied Statistics MSc: 1 year full-time or 2 years part-time, on campus, starting in academic year 2025-26
Academic year 2025–26, starting October 2025
Part-time home students: £5,850 per year
Full-time home students: £11,700 per year
Part-time international students: £10,170 per year
Full-time international students: £20,340 per yearApplied Statistics PG Cert: 1 year part-time, on campus, starting in academic year 2025-26
Academic year 2025–26, starting October 2025
Part-time home students: £3,900 per year
Part-time international students: £6,780 per yearStudents are charged a tuition fee in each year of their course. Tuition fees for students continuing on their course in following years may be subject to annual inflationary increases. For more information, please see the College Fees Policy.
If you’ve studied at Birkbeck before and successfully completed an award with us, take advantage of our Lifelong Learning Guarantee to gain a discount on the tuition fee of this course.
Discover the financial support available to you to help with your studies at Birkbeck.
International scholarships
We provide a range of scholarships for eligible international students, including our Global Future Scholarship. Discover if you are eligible for a scholarship.
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Teaching
At Birkbeck, most of our courses are taught in the evening and all of our teaching is designed to support students who are juggling evening study with work and other commitments. We actively encourage innovative and engaging ways of teaching, to ensure our students have the best learning experience.
Teaching may include formal lectures, seminars, and practical classes and tutorials. Formal lectures are used in most degree programmes to give an overview of a particular field of study. They aim to provide the stimulus and the starting point for deeper exploration of the subject during your own personal reading. Seminars give you the chance to explore a specific aspect of your subject in depth and to discuss and exchange ideas with fellow students. They typically require preparatory study.
In addition, you will have access to pastoral support via a named Personal Tutor.
Methods of teaching on this course
A combination of lectures and staff-assisted practical computing sessions using modern statistical software with an integrated programming capability. Computing packages used include R (and additionally SAS and WinBUGS where required for particular aspects of the course). Individual and small-group tutorials are provided as necessary.
Lectures present theory, worked problems and example applications to the class as a whole. Workstation sessions allow you to gain practical experience in the analysis and modelling of data. They are therefore self-paced and very informal, with students working individually using detailed guidance notes while members of staff provide tutorial assistance.
Teaching hours
Our evening hours are normally between 6pm and 9pm (6-7.30pm and 7.30-9pm). Some programmes also offer teaching during the day and this will be clearly signposted to you where it is available.
On our taught courses, you will have scheduled teaching and study sessions each year. Scheduled teaching sessions may include lectures, seminars, workshops or laboratory work. Depending on the modules you take, you may also have additional scheduled academic activities, such as tutorials, dissertation supervision, practical classes, visits and field trips. On our taught courses, the actual amount of time you spend in the classroom and in contact with your lecturers will depend on your course, the option modules you select and when you undertake your final-year project (if applicable).
Alongside your contact hours, you will also undertake assessment activities and independent learning outside of class. The amount of time you need to allocate to study both for taught sessions (this might include online sessions and/or in-person sessions) and personal study will depend on how much you are studying during the year and whether you are studying full time or part time.
Birkbeck’s courses are made up of modules and allocated ‘credit’. One credit is equivalent to ten hours of learning time. Modules are usually in 15, 30 or 60 credit units. A 15-credit module will mean around 150 hours of learning, including taught sessions and independent study or group work. This is spread out over the whole period of that module and includes the time you spend on any assessments, including in examinations, preparing and writing assessments or engaged in practical work as well as any study support sessions to help you in your learning.
On our distance-learning and blended-learning courses, discussion, collaboration and interaction with your lecturers and fellow students is encouraged and enabled through various learning technologies.
Timetables
Timetables are usually available from September onwards and you can access your personalised timetable via your My Birkbeck Profile online (if you have been invited to enrol).
Indicative class size
Class sizes vary, depending on your course, the module you are undertaking, and the method of teaching. For example, lectures are presented to larger groups, whereas seminars usually consist of small, interactive groups led by a tutor.
Independent learning
On our taught courses, much of your time outside of class will be spent on self-directed, independent learning, including preparing for classes and following up afterwards. This will usually include, but is not limited to, reading books and journal articles, undertaking research, working on coursework and assignments, and preparing for presentations and assessments.
Independent learning is absolutely vital to your success as a student. Everyone is different, and the study time required varies topic by topic, but, as a guide, expect to schedule up to five hours of self-study for each hour of teaching.
Study skills and additional support
Birkbeck offers study and learning support to undergraduate and postgraduate students to help them succeed. Our Learning Development Service can help you in the following areas:
- academic skills (including planning your workload, research, writing, exam preparation and writing a dissertation)
- written English (including structure, punctuation and grammar)
- numerical skills (basic mathematics and statistics).
Our Disability and Dyslexia Service can support you if you have additional learning needs resulting from a disability or from dyslexia.
Our Counselling Service can support you if you are struggling with emotional or psychological difficulties during your studies.
Our Mental Health Advisory Service can support you if you are experiencing short- or long-term mental health difficulties during your studies.
Assessment
Assessment is an integral part of your university studies and usually consists of a combination of coursework and examinations, although this will vary from course to course - on some of our courses, assessment is entirely by coursework. The methods of assessment on this course are specified below under 'Methods of assessment on this course'. You will need to allow time to complete coursework and prepare for exams.
Where a course has unseen written examinations, these may be held termly, but, on the majority of our courses, exams are usually taken in the Summer term, during May to June. Exams may be held at other times of the year as well. In most cases, exams are held during the day on a weekday - if you have daytime commitments, you will need to make arrangements for daytime attendance - but some exams are held in the evening. Exam timetables are published online.
Find out more about assessment at Birkbeck, including guidance on assessment, feedback and our assessment offences policy.
Methods of assessment on this course
Written examinations during the daytime in May/June, assessed coursework throughout the year.
Those on the MSc programme will undertake a project to be completed by 1 September.
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Careers and employability
On successfully graduating from this MSc Applied Data Science, you will have gained an array of important transferable skills, including the ability to:
- understand and apply computationally intensive statistical methodology
- abstract the essentials of a practical problem and formulate an appropriate statistical or mathematical model
- solve problems using an analytical and systematic approach
- understand advanced, abstract material
- learn independently by study of a range of sources including learned journals
- develop self-motivation, time management and organisation.
Studying this course will prepare you for a career path in roles in a range of professions including:
- actuary
- data analyst
- data scientist
- economist
- financial manager
- financial risk analyst
- machine learning engineer
- operational researcher
- research scientist
- statistician.
Graduates from this course have gone on to be employed at various organisations including G-Research, CodeMagus, The Centre for Policy Studies and Imperial College London.
We offer a comprehensive careers service - Careers and Enterprise - your career partner during your time at Birkbeck and beyond. At every stage of your career journey, we empower you to take ownership of your future, helping you to make the connection between your experience, education and future ambitions.
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How to apply
You apply directly to Birkbeck for this course, using the online application link.
You will need to prove your identity when you apply - read more about suitable forms of identification.
When to apply
You are strongly advised to apply now, to ensure there are still places on your chosen course and to give you enough time to complete the admissions process, to arrange funding and to enrol.
You don't need to complete your current programme of study before you apply - Birkbeck can offer you a place that is conditional on your results.
You will also receive information about subject-specific induction sessions over the summer.
Help and advice with your application
Get all the information you need about the application, admission and enrolment process at Birkbeck.
Our online personal statement tool will guide you through every step of writing the personal statement part of your application.
Apply for your course
Apply for your course using the apply now button in the key information section.
Related courses
Course structure
Course structure listing
Course structure and modules for Applied Statistics MSc: 1 year full-time or 2 years part-time, on campus, starting October 2025
You must complete modules worth a total of 180 credits, consisting of:
- two core modules (30 credits each)
- four option modules (15 credits each)
- a project (60 credits).
The core modules provide a broad education and training in statistics while the option modules allow you to orient your studies towards your own particular interests and career objectives. The project is a sustained, independent investigation involving the application of statistical techniques to a specific problem.
You will graduate with one of the following depending on your choice of modules:
- MSc Applied Statistics
- MSc Applied Statistics and Computational Data Analytics (Bayesian Methods and Computational Statistics are compulsory)
Core modules
Indicative option modules
- Bayesian Methods
- Computational Statistics
- Financial Data Science with Python
- Individually Prescribed Reading Course Applied Statistics
- Linear and Nonlinear Optimization
- Statistical Learning
MSc Applied Statistics project
Course structure and modules for Applied Statistics PG Cert: 1 year part-time, on campus, starting October 2025
You must complete two core modules worth a total of 60 credits. These cover:
- probability and distribution theory
- statistical inference
- Markov chains
- introductory time series and forecasting
- multiple linear regression
- generalised linear modelling
- experimental design.
You will apply the theory and principles that you learn to the analysis and modelling of data in a wide range of contexts and gain experience in the use of a statistical package such as R.