Postgraduate study

Statistics with Data Science MSc

Awards: MSc

Study modes: Full-time, Part-time

Accreditation

Funding opportunities

Programme website: Statistics with Data Science

The extensive training in statistics and data science that I received as part of this MSc, combined with the great reputation of the university, has opened doors to many exciting and varied opportunities - both professional and for further study. All while living in the beautiful, vibrant city of Edinburgh!

Lino Ferreira MSc Statistics with Data Science 2018/19
Lino Ferreira               MSc Statistics with Data Science 2018/19

In this digital and data-rich era the demand for statistics graduates from industry, the public sector and academia is high, yet the pool of such graduates is small. The recent growth of data science has increased the awareness of the importance of statistics, with the analysis of data and interpretation of the results firmly embedded within this newly recognised field.

This programme is designed to train the next generation of statisticians with a focus on the newly recognised field of data science. The syllabus combines rigorous statistical theory with wider hands-on practical experience of applying statistical models to data. In particular the programme includes:

  • classical and Bayesian ideologies
  • computational statistics
  • regression
  • data analysis of a range of models and applications

Graduates will be in high demand. It is anticipated that the majority of students will be employed as statisticians within private and public institutions providing statistical advice/consultancy.

Links with Industry

The School of Mathematics has connections with a wide number of industrial partners, organisations, charities and 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, and our annual analytics challenge (whose recent partners have included Edinburgh Airport and the Data and Marketing Association). You will also have the opportunity to undertake 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
  • THRIFT
  • Public Health Scotland

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
  • Generalised Regression Models
  • Incomplete Data Analysis
  • Statistical Programming
  • Statistical Research Skills

Optional courses have previously included:

  • Biomedical Data Science
  • Biostatistics
  • Credit Scoring
  • Fundamentals of Operational Research
  • Fundamentals of Optimization
  • Large Scale Optimization for Data Science
  • Machine Learning in Python
  • Machine Learning and Pattern Recognition*
  • Python Programming
  • Machine Learning in Python
  • Simulation
  • Probabilistic Modelling and Reasoning*
  • Methods for Causal Inference*
  • Statistical Methodology
  • Stochastic Modelling
  • Time Series
  • Text Technologies for Data Science*

*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 5-6 weeks and will take the form of a consultant-client style where an industrial client will present a problem to your class and each student acts as a consultant addressing a particular aspect of the problem and presenting their conclusions to the client at the end of the 5-6 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.

AwardTitleDurationStudy mode
MSc1 YearFull-timeProgramme structure 2021/22

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 BUGS/JAGS

Trained statisticians are in high demand both in public and private institutions. This programme will provide graduates with the necessary statistical skills, able 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 of implementing the 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 Learning Advisor

In the School of Mathematics we have a dedicated Student Learning Advisor for MSc students who is available to help and advise on a range of issues connected to your taught postgraduate studies.

In addition to your individual meetings with your Personal Tutor, you will have a number of activities with the Student Learning Advisor as part of our personal development programme. This is designed to support your academic progress, career planning and skills development.

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 2022/23 academic year and requirements for future academic years may differ. Entry requirements for the 2023/24 academic year will be published on 3 October 2022.

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 C.

International qualifications

Check whether your international qualifications meet our general entry requirements:

English language requirements

You must demonstrate a level of English language competency at a level that will enable you to succeed in your studies, regardless of your nationality or country of residence.

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.
  • 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.
  • CAE and CPE: total 176 with at least 169 in each component.
  • Trinity ISE: ISE II with distinctions in all four components.

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 or Trinity ISE, 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.

If you are not a national of a majority English speaking country, then your degree must be no more than three and a half 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

AwardTitleDurationStudy mode
MSc1 YearFull-timeTuition fees
MSc2 YearsPart-timeTuition fees

School of Mathematics funding

There may be School funding available for well-qualified candidates.

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:

  • School of Mathematics
  • James Clerk Maxwell Building
  • Peter Guthrie Tait Road
  • The King's Buildings Campus
  • Edinburgh
  • EH9 3FD
Programme start date Application deadline
12 September 2022 31 August 2022

Due to high demand, the school operates a number of selection deadlines.

We will make a small number of offers to the most outstanding candidates on an ongoing basis, but hold the majority of applications until the next published selection deadline.

We aim to make the majority of decisions within six 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, or
  • your application is still being considered, will be carried forward for consideration in the next selection deadline and we’ll be in touch once a decision is made

Selection Deadlines

Round Application Deadline Decisions made or applications rolled to next deadline
1 31 January 15 March
2 31 March 15 May
3 30 June 15 August

You must submit one reference with your application.

Find out more about the general application process for postgraduate programmes:

Further information

  • School of Mathematics
  • James Clerk Maxwell Building
  • Peter Guthrie Tait Road
  • The King's Buildings Campus
  • Edinburgh
  • EH9 3FD