Statistics with Data Science MSc
Awards: MSc
Study modes: Full-time, Part-time
Accreditation
Funding opportunities
Programme website: Statistics with Data Science
As the name suggests, the programme lets you delve deep into mathematical statistics but also explore trendy topics in data science. Projects and assignments offered plenty of experience with both R and Python in modules which were not necessarily focused on programming. Now, a few months into my first job after graduation, I already find that all parts of the curriculum have offered me something which I apply today.
In this digital and data-rich era, there is a high demand for statistics graduates from:
- industry
- the public sector
- academia
However, the pool of graduates in this area is small. The recent growth of data science has highlighted the importance of statistics, with data analysis and results interpretation well-integrated into this newly recognised field.
This programme trains the next generation of statisticians to become expert data scientists with knowledge and experience of well-established methodologies and recent advances. The syllabus combines rigorous statistical theory with hands-on practical experience applying statistical models to data from various application areas.
In particular, the programme includes:
- frequentist and Bayesian methods for advanced statistical modelling
- computational statistics
- generalised regression models
- principles of statistically defensible data collection, management and curation
Graduates will be in high demand. We anticipate most students will be employed as statisticians for private and public institutions providing statistical advice and consultancy.
Links with Industry
The School of Mathematics has connections with many of the following:
- industrial partners
- organisations
- charities
- government departments
As an MSc student in the School you will have opportunities to engage with these external organisations through:
- regular employability events
- careers workshops
- our annual analytics challenge (whose recent partners have included Edinburgh Airport and the Data and Marketing Association)
You will also have the opportunity to work on an industry-based, consultancy-style dissertation project.
Recent partners for industry-based consultancy projects in the Statistics with Data Science MSc include:
- Lloyds Banking Group
- AzkoNobel
- Public Health Scotland
- Simply Business
Accreditation
This MSc is accredited by the Royal Statistical Society (RSS). Thus, this programme is recognised by RSS for the purpose of eligibility for the professional award of Graduate Statistician. The accreditation is based on the general depth, breadth, quality and foundation of the programme and its statistical content.
This programme involves two taught semesters of compulsory and option courses followed by your dissertation project.
Compulsory courses have previously included:
- Bayesian Data Analysis
- Bayesian Theory
- Design and Sampling for Data Science
- Extended Statistical Programming
- Generalised Regression Models
- Statistical Research Skills
Optional courses have previously included:
- Biostatistics
- Credit Scoring
- Fundamentals of Operational Research
- Fundamentals of Optimization
- Incomplete Data Analysis
- Large Scale Optimization for Data Science
- Machine Learning and Pattern Recognition*
- Machine Learning in Python
- Methods for Causal Inference*
- Probabilistic Modelling and Reasoning*
- Python Programming
- Simulation
- Statistical Methodology
- Stochastic Modelling
- Text Technologies for Data Science*
- Time Series
*delivered by the School of Informatics
Dissertation projects
The dissertation will take the form of two consultancy-style case projects in different application areas.
Each consultancy-style project will last five to six weeks and will take the form of a consultant-client style where an industrial client will present a problem to your class. Each student will then act as a consultant, addressing an aspect of the problem and presenting their conclusions to the client at the end of the five to six week period.
Find out more about compulsory and optional courses
We link to the latest information available. Please note that this may be for a previous academic year and should be considered indicative.
Award | Title | Duration | Study mode | |
---|---|---|---|---|
MSc | Statistics with Data Science | 1 Year | Full-time | Programme structure 2024/25 |
MSc | Statistics with Data Science | 2 Years | Part-time | Programme structure 2024/25 |
At the end of this programme you will have:
- knowledge and understanding of statistical theory and its applications within data science
- the ability to formulate suitable statistical models for new problems, fit these models to real data and correctly interpret the results
- the ability to assess the validity of statistical models and their associated limitations
- practical experience of implementing a range of computational techniques using statistical software R and JAGS
Trained statisticians are in high demand both in public and private institutions. This programme will provide graduates with the statistical skills necessary to handle and analyse different forms of data, interpret the results and effectively communicate the conclusions obtained.
Graduates will have a deep knowledge of the underlying statistical principles coupled with practical experience in implementing statistical techniques using standard software across a range of application areas, ensuring they are ideally placed for a range of different job opportunities.
The degree is also excellent preparation for further study in statistics or data science. Students have gone on to study their PhDs at highly-ranked universities including Oxford and Edinburgh.
Student Support Team
In the School of Mathematics, we have a dedicated Student Support Team consisting of six staff members. You will have a Student Adviser who is your first point of contact during your time at the University of Edinburgh, and who is available to help and advise on a range of issues connected to your postgraduate study. Study support will be provided by academics acting as Cohort Leads, with wider teaching teams, who will work with students to connect you with your programme of study and provide you with more specialist subject support.
Student blogs
Learn about what life is like as a MSc student in the School of Mathematics, by hearing from the people that have experienced it first-hand! Our student bloggers come from all across the world, and have studied on a variety of our MSc programmes.
These entry requirements are for the 2025/26 academic year and requirements for future academic years may differ. Entry requirements for the 2026/27 academic year will be published on 1 Oct 2025.
A UK 2:1 degree, or its international equivalent, in a numerate discipline such as mathematics, engineering, computer science, physical or biological sciences, economics or business.
Your degree must have included substantial mathematics content, including calculus (including calculus of several variables), linear algebra, probability, statistics and statistical theory. Detailed information is available from the School of Mathematics website.
You can increase your chances of a successful application by exceeding the minimum programme requirements.
Students from China
This degree is Band B.
International qualifications
Check whether your international qualifications meet our general entry requirements:
English language requirements
Regardless of your nationality or country of residence, you must demonstrate a level of English language competency which will enable you to succeed in your studies.
English language tests
We accept the following English language qualifications at the grades specified:
- IELTS Academic: total 6.5 with at least 6.0 in each component. We do not accept IELTS One Skill Retake to meet our English language requirements.
- TOEFL-iBT (including Home Edition): total 92 with at least 20 in each component. We do not accept TOEFL MyBest Score to meet our English language requirements.
- C1 Advanced (CAE) / C2 Proficiency (CPE): total 176 with at least 169 in each component.
- Trinity ISE: ISE II with distinctions in all four components.
- PTE Academic: total 65 with at least 59 in each component. We do not accept PTE Academic Online.
- Oxford ELLT: 7 overall with at least 6 in each component.
Your English language qualification must be no more than three and a half years old from the start date of the programme you are applying to study, unless you are using IELTS, TOEFL, Trinity ISE or PTE, in which case it must be no more than two years old.
Degrees taught and assessed in English
We also accept an undergraduate or postgraduate degree that has been taught and assessed in English in a majority English speaking country, as defined by UK Visas and Immigration:
We also accept a degree that has been taught and assessed in English from a university on our list of approved universities in non-majority English speaking countries (non-MESC).
If you are not a national of a majority English speaking country, then your degree must be no more than five years old at the beginning of your programme of study.
Find out more about our language requirements:
Application fee
None.
Deposit
None.
Additional programme costs
None.
Living costs
You will be responsible for covering living costs for the duration of your studies.
Tuition fees
Award | Title | Duration | Study mode | |
---|---|---|---|---|
MSc | Statistics with Data Science | 1 Year | Full-time | Tuition fees |
MSc | Statistics with Data Science | 2 Years | Part-time | Tuition fees |
Funding for postgraduate study is different to undergraduate study, and many students need to combine funding sources to pay for their studies.
Most students use a combination of the following funding to pay their tuition fees and living costs:
borrowing money
taking out a loan
family support
personal savings
income from work
employer sponsorship
- scholarships
Explore sources of funding for postgraduate study
School of Mathematics Masters Scholarships
The School of Mathematics is offering a number of 50% tuition fee scholarships for applicants applying to study a Masters programme in Mathematics. These will be based on academic merit and available to applicants domiciled in the eligible countries.
Martingale Foundation Scholarships
We are one of the Martingale Foundation's newest university partners. The Martingale Foundation helps provide access to postgraduate mathematics study for UK students facing financial barriers by offering fully-funded MSc and PhD programmes. Applications for the 2025 Martingale Scholarship close on Sunday 27 October 2024.
UK government postgraduate loans
If you live in the UK, you may be able to apply for a postgraduate loan from one of the UK’s governments.
The type and amount of financial support you are eligible for will depend on:
- your programme
- the duration of your studies
- your tuition fee status
Programmes studied on a part-time intermittent basis are not eligible.
Other funding opportunities
Search for scholarships and funding opportunities:
- Admissions Contact (lines open Mon-Fri 10am-4pm)
- Phone: +44 (0)131 650 5737
- Contact: futurestudents@ed.ac.uk
- Programme Director, Dr Nicole Augustin
- Contact: statsmsc@ed.ac.uk
- School of Mathematics
- James Clerk Maxwell Building
- The King's Buildings Campus
- Edinburgh
- EH9 3FD
- Programme: Statistics with Data Science
- School: Mathematics
- College: Science & Engineering
Applying
Select your programme and preferred start date to begin your application.
MSc Statistics with Data Science - 1 Year (Full-time)
MSc Statistics with Data Science - 2 Years (Part-time) (Part-time)
Programme start date | Application deadline |
---|---|
8 September 2025 | 31 August 2025 |
Due to high demand for this programme, we operate on a series of selection deadlines.
We strongly recommend you apply as early as possible. Applications may close earlier than the published deadlines if there is exceptionally high demand.
We may make a small number of offers to the most outstanding candidates on an ongoing basis. However, the majority of applications will be held until the advertised deadline.
We aim to make the majority of decisions within eight weeks of the selection deadline.
If we have not made you an offer by a specific selection deadline this means one of two things:
- your application has been unsuccessful, in which case we will contact you to let you know
- your application is still being considered, it will be carried forward for consideration in the next selection deadline, and we’ll be in touch once a decision is made
The final deadline may be extended if any places remain on the programme.
Selection deadlines
Round | Application deadline | Decisions made or applications rolled to the next deadline |
---|---|---|
1 | 15 December | 1 March |
2 | 31 March | 31 May |
3 | 31 May | 31 July |
You must submit one reference with your application.
Find out more about the general application process for postgraduate programmes:
Further information
- Admissions Contact (lines open Mon-Fri 10am-4pm)
- Phone: +44 (0)131 650 5737
- Contact: futurestudents@ed.ac.uk
- Programme Director, Dr Nicole Augustin
- Contact: statsmsc@ed.ac.uk
- School of Mathematics
- James Clerk Maxwell Building
- The King's Buildings Campus
- Edinburgh
- EH9 3FD
- Programme: Statistics with Data Science
- School: Mathematics
- College: Science & Engineering