Please note the course details apply to 2025 entry. Details for 2026 entry for our postgraduate courses will be published from mid-October 2025.
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
Our Statistics MSc enables graduates and professionals with a strong mathematical background to research, develop and apply modern statistical modelling techniques to a range of practical settings. The course will prepare you to think critically about real-world data analysis problems arising in the public or private sector, for example in the financial, pharmaceutical or manufacturing sectors.
Key benefits
- A rigorous approach to statistical modelling and data analysis, including both the theoretical underpinnings and state-of-the-art computational tools.
- Acquiring the ability to design and evaluate data collection procedures and apply the most appropriate statistical methods to answer practical questions in a data-driven way.
- Exposure to data analysis applications arising in a variety of practical contexts.
- Lecturers have extensive experience in a wide-range of statistical problems and applications, for example in the design of experiments in industry, financial modelling, geostatistics and biostatistics.
- Flexible study course offering the opportunity to study part-time.
- The Department of Mathematics is a leading centre of research, with 100 percent of research classed as world-leading or internationally excellent (REF 2021).
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
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 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
A Bachelor's degree with a high (minimum of 65%) 2:1 honours (or international equivalent) in Mathematics or a Mathematics-based subject.
Please note: Meeting the minimum requirements for your application to be considered does not guarantee an offer as applications for this programme are very competitive.
International applicants
Equivalent International 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.
Nationals of majority English speaking countries (as defined by the UKVI) who have permanently resided in this country are not usually required to complete an additional English language test. This is also the case for applicants who have successfully completed an undergraduate degree (of at least three years duration), a postgraduate taught degree (of at least one year), or a PhD in a majority English speaking country (as defined by the UKVI) within five years of the course start date.
For information on our English language requirements and whether you need to complete an English language test, please see our English Language requirements page.
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. This means that for some of these applicants, a decision may not be reached until after February and where possible, will be made by May. You will be informed via King’s Apply if your application has been assessed and being held as part of this process.
Personal statement and supporting information
You will be asked to submit the following documents in order for your application to be considered:
| Personal Statement | Yes |
A personal statement is required. You must answer the following two questions on the application form:
|
|---|---|---|
| Previous Academic Study | Yes | A copy (or copies) of your official academic transcript(s), showing the subjects studied and marks obtained. If you have already completed your degree, copies of your official degree certificate will also be required. Applicants with academic documents issued in a language other than English, will need to submit both the original and official translation of their documents. |
| References | Yes | One academic reference is required. A professional reference will be accepted if you have completed your qualifications over five years ago. In some cases, we may request an additional reference from you. |
| Other | Optional | Applicants may wish to include a CV (Resume) or evidence of professional registration as part of their application |
Teaching methods - what to expect
Lectures
Group Tutorials
Independent study
Coursework
We will use a delivery method that will ensure students have a rich, exciting experience from the start. Face to face teaching will be complemented and supported with innovative technology so that students also experience elements of digital learning and assessment.
The majority of teaching for this degree takes place at the King’s College London Strand Campus.
We use lectures and group tutorials to deliver most of the modules on the course. Students will also be expected to undertake a significant amount of independent study and coursework.
Typically, one credit equates to 10 hours of work, e.g. 150 hours work for a 15 credit module. These hours cover every aspect of the module
Assessment
- Coursework
- Written/Practical Examinations
- Class tests
- Quizzes
Students performance will be assessed through a combination of coursework and written/practical examinations. Forms of assessment may typically include unseen written exams, class tests, online quizzes and coursework submission.
The study time and assessment methods detailed above are typical and give you a good indication of what to expect. However, they are subject to change.
Structure
Courses are divided into modules. You will normally take modules totalling 180 credits.
Required modules
You are required to take:
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. 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. Read more here.
The modules may typically include:
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)
King’s College London reviews the modules offered on a regular basis to provide up-to-date, innovative and relevant programmes of study. Therefore, modules offered may change. We suggest you keep an eye on the course finder on our website for updates.
Please note that modules with a practical component will be capped due to educational requirements, which may mean that we cannot guarantee a place to all students who elect to study this module.
Employability
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.
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.
The Home deposit is £500. The International deposit is £2000.
- If you receive an offer before January, payment is due within two months of receiving the offer.
- If you receive an offer between 1 January and 20 May, payment is due within one month of receiving the offer.
- If you receive an offer between 21 May and 15 July, payment is due within two weeks of receiving the offer.
- If you receive an offer between 16 July and 10 August, payment is due within one week of receiving the offer.
- If you receive an offer from 11 August onwards, payment is due within three days of receiving the offer.
If you are a current undergraduate King’s student in receipt of the King's Living Bursary this academic year, you are not required to pay a deposit to secure your place on the programme. Please note, this will not change the total fees payable for your chosen programme.
Please visit our web pages on fees and funding for more information.
Additional Costs
In addition to your tuition costs, you can also expect to pay for:
- Books, if your choose to buy your own copies
- Library fees and fines
- Personal photocopies
- Stationery
- Travel and accommodation for teaching weekends
- Travel and accomodation for exams if taken in London OR overseas examination fees if requested
- 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.
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
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 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
A Bachelor's degree with a high (minimum of 65%) 2:1 honours (or international equivalent) in Mathematics or a Mathematics-based subject.
Please note: Meeting the minimum requirements for your application to be considered does not guarantee an offer as applications for this programme are very competitive.
International applicants
Equivalent International 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.
Nationals of majority English speaking countries (as defined by the UKVI) who have permanently resided in this country are not usually required to complete an additional English language test. This is also the case for applicants who have successfully completed an undergraduate degree (of at least three years duration), a postgraduate taught degree (of at least one year), or a PhD in a majority English speaking country (as defined by the UKVI) within five years of the course start date.
For information on our English language requirements and whether you need to complete an English language test, please see our English Language requirements page.
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. This means that for some of these applicants, a decision may not be reached until after February and where possible, will be made by May. You will be informed via King’s Apply if your application has been assessed and being held as part of this process.
Personal statement and supporting information
You will be asked to submit the following documents in order for your application to be considered:
| Personal Statement | Yes |
A personal statement is required. You must answer the following two questions on the application form:
|
|---|---|---|
| Previous Academic Study | Yes | A copy (or copies) of your official academic transcript(s), showing the subjects studied and marks obtained. If you have already completed your degree, copies of your official degree certificate will also be required. Applicants with academic documents issued in a language other than English, will need to submit both the original and official translation of their documents. |
| References | Yes | One academic reference is required. A professional reference will be accepted if you have completed your qualifications over five years ago. In some cases, we may request an additional reference from you. |
| Other | Optional | Applicants may wish to include a CV (Resume) or evidence of professional registration as part of their application |
Teaching methods - what to expect
Lectures
Group Tutorials
Independent study
Coursework
We will use a delivery method that will ensure students have a rich, exciting experience from the start. Face to face teaching will be complemented and supported with innovative technology so that students also experience elements of digital learning and assessment.
The majority of teaching for this degree takes place at the King’s College London Strand Campus.
We use lectures and group tutorials to deliver most of the modules on the course. Students will also be expected to undertake a significant amount of independent study and coursework.
Typically, one credit equates to 10 hours of work, e.g. 150 hours work for a 15 credit module. These hours cover every aspect of the module
Assessment
- Coursework
- Written/Practical Examinations
- Class tests
- Quizzes
Students performance will be assessed through a combination of coursework and written/practical examinations. Forms of assessment may typically include unseen written exams, class tests, online quizzes and coursework submission.
The study time and assessment methods detailed above are typical and give you a good indication of what to expect. However, they are subject to change.
Structure
Courses are divided into modules. You will normally take modules totalling 180 credits.
Required modules
You are required to take:
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. 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. Read more here.
The modules may typically include:
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)
King’s College London reviews the modules offered on a regular basis to provide up-to-date, innovative and relevant programmes of study. Therefore, modules offered may change. We suggest you keep an eye on the course finder on our website for updates.
Please note that modules with a practical component will be capped due to educational requirements, which may mean that we cannot guarantee a place to all students who elect to study this module.
Employability
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.
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.
The Home deposit is £500. The International deposit is £2000.
- If you receive an offer before January, payment is due within two months of receiving the offer.
- If you receive an offer between 1 January and 20 May, payment is due within one month of receiving the offer.
- If you receive an offer between 21 May and 15 July, payment is due within two weeks of receiving the offer.
- If you receive an offer between 16 July and 10 August, payment is due within one week of receiving the offer.
- If you receive an offer from 11 August onwards, payment is due within three days of receiving the offer.
If you are a current undergraduate King’s student in receipt of the King's Living Bursary this academic year, you are not required to pay a deposit to secure your place on the programme. Please note, this will not change the total fees payable for your chosen programme.
Please visit our web pages on fees and funding for more information.
Additional Costs
In addition to your tuition costs, you can also expect to pay for:
- Books, if your choose to buy your own copies
- Library fees and fines
- Personal photocopies
- Stationery
- Travel and accommodation for teaching weekends
- Travel and accomodation for exams if taken in London OR overseas examination fees if requested
- 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.
Application closing date guidance
We encourage you to apply as early as possible so that there is sufficient time for your application to be assessed and we may need to request further information from you during the application process.
The final application deadlines for this programme are:
· Overseas (international) fee status: 25 July 2025 (23:59 UK time)
· Home fee status: 25 August 2025 (23:59 UK time)
If the programme becomes full before the final application deadlines stated above, we will close the programme to further applications. Please note, you will not be eligible for an application fee refund if we are unable to process further offers because places are filled and we close the course before the final application deadline.
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
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