| Program start date | Application deadline |
| 2025-09-01 | - |
Program Overview
Statistics MSc
Key information
Delivery mode: In person Study mode: Full time, Part time Duration: 1 year full-time, 2 years part-time Application status: Open Start date: September 2025
Course essentials
The Statistics MSc is aimed to develop a deep knowledge and understanding of statistics and its mathematical foundations, and enable you to think logically and objectively about data analysis and statistical learning. You will have the opportunity to learn how to apply the most appropriate statistical models to answer practical questions, using modern statistical methods and software. You will therefore learn a wide range of transferable skills, both in data analysis and in how to present and communicate the results. This will particularly apply to the individual research project. The individual research project will offer you the opportunity to learn to think independently about complex data and models. You will combine the programming skills and statistical knowledge from the taught modules in order to fit statistical models to real world data. The datasets which will be modelled and analysed are expected to arise from many different sources. Examples may include medical data, financial time series, geographic data and data from social networks. You will be supported in writing a scientific report of your finding and in presenting the report in a professional context. You must take modules totaling 180 credits to complete the course. Full time students will complete the course in one year, from September to September. Part-time students will complete the course in two years. Optional Modules and Clusters Students can tailor their learning experience by selecting from various optional modules, creating coherent clusters of modules within the program. Please note, the cluster combinations are optional – students can still choose to combine modules in other manners and the choice of clusters does not impact on the degree awarded. Examples include: Data Science Cluster This cluster emphasizes the methodological and practical aspects of statistical data science. Students will learn modern statistical and machine learning techniques in modules such as Elements of Statistical Learning and Machine Learning. They will apply these techniques to complex, high-dimensional datasets in their individual research projects. Statistical Modelling Cluster This cluster focuses on modelling and inference for the data-generating processes. Students will explore how to model complex problems and assess uncertainty in estimation and prediction through modules like Design of Experiments and Time Series Analysis. Their individual research projects will investigate the statistical properties of advanced inferential procedures.
Base campus
- Strand Campus Located on the north bank of the River Thames, the Strand Campus houses King's College London's arts and sciences faculties. Please note that locations are determined by where each module is taught and may vary depending on the modules you study.
Regulating bodies
- King's College London and Affiliates
Entry requirements
UK applicants
- Standard requirements: A minimum high 2:1 undergraduate Bachelor’s (honours) degree with a final mark of at least 65% or above
- Programme-Specific Requirements: A Bachelor's degree with a high (minimum of 65%) 2:1 honours (or international equivalent) in Mathematics or a Mathematics-based subject.
International applicants
- Equivalent International qualifications: Select a country to view equivalent qualifications
- English language requirements: English language band D To study at King's, it is essential that you can communicate in English effectively in an academic environment. You are usually required to provide certification of your competence in English before starting your studies.
Selection process
- Applications must be made online using King’s Apply, the Admissions Portal.
- A non-refundable application fee of £130 applies.
- Due to the large volume of applications, this programme operates a partial “gathered-field” approach to decision making for applicants who meet our advertised academic entry requirements.
Personal statement and supporting information
- Personal Statement: Yes, a personal statement is required. You must answer the following two questions on the application form:
- Why are you applying for this specific programme, and how does it fit with your future plans? (max 250 words)
- How does your experience and education make you a suitable candidate for this programme? (max 250 words)
- Previous Academic Study: Yes, a copy (or copies) of your official academic transcript(s), showing the subjects studied and marks obtained.
- References: Yes, one academic reference is required. A professional reference will be accepted if you have completed your qualifications over five years ago.
Teaching & structure
- Teaching methods: Lectures, Group Tutorials, Independent study, Coursework
- Assessment: Coursework, Written/Practical Examinations, Class tests, Quizzes
- Structure: Courses are divided into modules. You will normally take modules totalling 180 credits.
Required modules
- Statistical Theory (15 credits)
- Bayesian Statistics (15 credits)
- Computational Statistics (15 credits)
- Multivariate and High-dimensional Statistics (15 credits)
- MSc Statistics Project (60 credits)
Optional modules
- Additionally, you are required to take 60 credits from a range of optional modules. Part-time students will take 30 credits in their first year and 30 in their second year.
- Data Science Cluster
- Elements of Statistical Learning (15 credits)
- Theory of Complex Networks (15 credits)
- Machine Learning (15 credits)
- Time Series Analysis (15 credits)
- Statistical Modelling Cluster
- Probability Theory (15 credits)
- Design of Experiments (15 credits)
- Stochastic Processes and Applications (15 credits)
- Time Series Analysis (15 credits)
- Other optional modules
- Stochastic Analysis (15 credits)
- Computer Programming for Data Scientists (15 credits)
- Data Mining (15 credits)
- Pattern Recognition, Neural Networks & Deep Learning (15 credits)
Careers
- There are a variety of careers in statistics for graduates. There are well established routes for statisticians such as the actuarial profession or in medical statistics within a pharmaceutical firm. Over the last decade new opportunities have arisen for careers in Data Science, Artificial Intelligence and Machine Learning for computational statisticians.
- Graduates from the Department of Mathematics are highly sought after by investment banks, insurance companies, pharmaceutical companies and large technological companies, to mention just a few.
Fees & Funding
- Tuition Fees:
- UK: Full time £13,500 per year (2025/26), Part time £6,750 per year (2025/26)
- International: Full time £35,244 per year (2025/26), Part time £18,900 per year (2025/26)
- Deposit: If you receive an offer for this programme, you will be required to pay a non-refundable deposit to secure your place. Deposit payments are credited towards the total tuition fee payment.
- Additional Costs: In addition to your tuition costs, you can also expect to pay for books, library fees and fines, personal photocopies, stationery, travel and accommodation for teaching weekends, travel and accommodation for exams if taken in London OR overseas examination fees if requested, and graduation costs.
- Funding: To find out more about bursaries, scholarships, grants, tuition fees, living expenses, student loans, and other financial help available at King's please visit the Fees and Funding section.
Program Outline
Degree Overview
The Statistics MSc program at King's College London equips graduates and professionals with a solid mathematical foundation and the ability to utilize cutting-edge statistical modeling techniques in various practical settings. The program aims to help students develop critical thinking skills when tackling real-world data analysis problems in diverse sectors seperti financial, pharmaceutical, and manufacturing industries.
Outline
The Statistics MSc curriculum comprises a combination of theoretical underpinnings and practical applications. Students delve into the mathematical foundations of statistics and learn advanced computational tools. They acquire the skills to design and evaluate data collection procedures and apply appropriate statistical methods to solve practical problems in a data-driven manner. The program exposes students to data analysis applications across diverse fields.
Required modules
- Statistical Theory (15 credits)
- Bayesian Statistics (15 credits)
- Computational Statistics (15 credits)
- Multivariate and High-dimensional Statistics (15 credits)
- MSc Statistics Project (60 credits)
Optional modules
(Students choose 60 credits worth of optional modules, with 30 credits taken in each year for part-time students.)
- Probability Theory (15 credits)
- Theory of Complex Networks (15 credits)
- Elements of Statistical Learning (15 credits)
- Design of Experiments (15 credits)
- Stochastic Analysis (15 credits)
- Machine Learning (15 credits)
- Stochastic Processes and Applications (15 credits)
- Time Series Analysis (15 credits)
- Data Mining (15 credits)
- Pattern Recognition, Neural Networks & Deep Learning (15 credits)
Assessment
Students' performance is evaluated through a combination of coursework and written/practical examinations. Assessment methods include unseen written exams, class tests, online quizzes, and coursework submissions.
Teaching
The program leverages diverse teaching methods to provide a rich learning experience. Students engage in lectures, group tutorials, independent study, and coursework. The faculty comprises experienced professionals with expertise in various statistical problems and applications.
Careers
Graduates of the program are well-equipped for a variety of careers in statistics, including established fields like the actuarial profession and medical statistics within pharmaceutical firms. Additionally, the program opens doors to new opportunities in data science, artificial intelligence, and machine learning for computational statisticians.
Other
The program is competitive, and applications are reviewed on a rolling basis. International applicants are subject to an English language requirement.
Note
This program description applies to the 2024 entry.
UK: Full time: £12,468 per year (2024/25) Part time: £6,234 per year (2024/25) International: Full time: £29,472 per year (2024/25) Part time: £14,736 per year (2024/25) Deposit Deposit payments are credited towards the total tuition fee payment. The Home deposit is £500. The International deposit is £2000. If you receive an offer between 1 January and 31 March, payment is due within one month of receiving the offer. If you receive an offer between 1 April and 15 July, payment is due within two weeks of receiving the offer. If you receive an offer between 16 July and 15 August, payment is due within one week of receiving the offer.
-
Entry Requirements:
For the Statistics MSc program, offered by King's College London, the entry requirements are as follows:
UK Applicants:
- Standard Requirements:
- A minimum high 2:1 undergraduate Bachelor’s (honours) degree with a final mark of at least 65% or above.
- If you have a lower degree classification, or a degree in an unrelated subject, your application may still be considered if you can demonstrate significant relevant work experience, or offer a related graduate qualification (such as a Masters or PGDip).
- Programme-Specific Requirements: However, you are expected to submit:
- Certified copies of your academic transcripts and degree certificates
- Translated copies if your documents are not in English
- English language proficiency test scores (if applicable)
- King's College London reviews its modules and programs regularly. the offered modules may change. There's no guarantee that a place will be available for all students who choose to study these modules.
Language Proficiency Requirements:
- To study at King's, you must be able to communicate effectively in English in an academic environment.
- Most applicants are required to provide certification of their English language competence before starting their studies.
- There are exceptions for nationals of majority English-speaking countries and those who have completed a relevant degree program in English.
Summary
The Statistics MSc program at King's College London has specific entry requirements for both UK and international applicants.
