Statistics (MSc) 2016 entry
The MSc in Statistics prepares students with a strong quantitative background for further postgraduate studies or a future career in the private sector.
Postgraduate; leading to a Master of Science (MSc)
One year full time
A good 2.1 undergraduate Honours degree in Mathematics, Statistics or a closely related subject area. If you studied your first degree outside the UK, see the international entry requirements.
English language proficiency. See English language tests and qualifications.
UK and EU: £6,800
- two original signed academic references
- academic transcripts and degree certificates
- English language requirements certificate
- letter of intent (optional).
For more guidance, see supporting documents and references for postgraduate taught programmes.
If you are looking to start this programme in 2017, you can find information about 2017 entry on the 2017 Statistics MSc page. Information about all programmes from previous years of entry can be found in our archive.
- The programme provides a wide range of advanced module choices across the School of Mathematics and Statistics.
- Students are prepared to pursue research in statistics or to enter the commercial analysis market with a broader skill set.
The MSc in Statistics is a one-year taught programme run by the School of Mathematics and Statistics, which is well equipped with personal computers and laptops, a parallel computer and an on-site library.
The course consists of two semesters of taught courses followed by a dissertation (15,000 words) over the summer months. The available statistics modules consist of a mixture of traditional lecture courses with end of semester exams and short intense courses with a large proportion of continuous assessment.
For an MSc in Statistics, students take at least 90 credits of postgraduate-level mathematics and statistics modules. The remaining 30 credits can be taken from the School's undergraduate-level modules. At least 90 credits of the total of 120 credits of the taught part should be statistics modules.
The modules in this programme have varying methods of delivery and assessment. For more details of each module, including weekly contact hours, teaching methods and assessment, please see the latest module catalogue.
Modules can be chosen from across the School's undergraduate and postgraduate-level modules. Typical options are listed below.
- Computing in Statistics
- Computing in Mathematics
- Time Series Analysis
- Markov Chains and Processes
- Population Genetics
- Bayesian Inference
- Spatial Processes
- Financial Mathematics
- Mathematical Biology 1
- Project in Mathematics / Statistics
- Statistical Inference
- Sampling Theory
- Design of Experiments
- Advanced Symbolic Computation
- Advanced Topics in the History of Mathematics
- Advanced Statistical Inference
- Estimating Animal Abundance
- Statistical Modelling
- Data Analysis
- Advanced Data Analysis
- Applied Multivariate Analysis
- Advanced Analytical Techniques
- Advanced Fluid Dynamics
- Advanced Solar Theory
- Advanced Financial Mathematics
- Advanced Bayesian Inference
- Mathematical Biology 2
- Independent Study Module
- Professional Skills for Mathematical Scientists
- Advanced Project in Mathamatics / Statistics
- Knowledge Discovery and Datamining
The modules listed ran in the academic year 2015-2016 and are indicative of this course. There is no guarantee that these modules will run for 2016 entry.
Take a look at the most up-to-date modules in the module catalogue.
During the final three months of the course, students complete a 15,000-word dissertation to be submitted by the end of August. Dissertations are supervised by members of teaching staff who will advise on the choice of subject and provide guidance throughout the progress of the dissertation.
If students choose not to complete the dissertation requirement for the MSc, there is an exit award available that allows suitably qualified candidates to receive a Postgraduate Diploma. By choosing an exit award, you will finish your degree at the end of the second semester of study and receive a PGDip instead of an MSc.
Conferences and events
There are a number of different seminars held each week in the School of Mathematics and Statistics. These include:
There are many potential scholarships or support schemes available to postgraduates.
Recent Graduate Discount
The University of St Andrews offers a 10% reduction in tuition fees for students who have graduated during the last three years and are now starting a postgraduate programme.
Thomas and Margaret Roddan Trust (Postgraduate)
Competitive awards ranging from £500 to £3,000 are usually available for postgraduates undertaking either taught or research courses in Scotland.
After the MSc
The MSc in Statistics prepares students for further postgraduate studies in statistical research, and many graduates of the programme continue their education by enrolling in PhD programmes at St Andrews or elsewhere.
The School of Mathematics and Statistics has active research groups in:
- Pure Mathematics (Analysis Group, Algebra and Combinatorics Group)
- Applied Mathematics (Vortex Dynamics Group, Solar and Magnetospheric Theory Group, Mathematical Biology Group)
- Statistics (Statistical Ecology Group, Statistical Inference Group).
MSc in Statistics graduates hold positions at leading universities or companies in areas as diverse as business administration, financial markets, biomedical research, fisheries laboratories, wildlife conservation and many more.
Our recent graduates at Masters level have found employment in:
- large consulting firms and major financial institutions including Scottish and Southern Energy, RBS, Aviva, Lloyds, TSB, PwC, Capital One, Vodafone, American Express, Goldman Sachs, Tesco Bank and many others.
- biomedical research, clinical trials and pharmaceuticals.
- wildlife and conservation managers including the Wildlife Conservation Society (WCS).
The Careers Centre offers one-to-one advice to all students on a taught postgraduate course and offers a programme of events to assist students to build their employability skills.
Admission to the University of St Andrews is governed by our Admissions policy.
As a research intensive institution, the University ensures that its teaching references the research interests of its staff, which may change from time to time. As a result, programmes are regularly reviewed with the aim of enhancing students' learning experience. Our approach to course revision is described online. (PDF, 72 KB).
The University will clarify compulsory fees and charges it requires any student to pay at the time of offer. The offer will also clarify conditions for any variation of fees. The University’s approach to fee setting is described online. (PDF, 84 KB).