Statistics (MSc) 2018 entry

The MSc in Statistics prepares students with a strong quantitative background for further postgraduate studies or a future career in the private sector.

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Course type

Postgraduate; leading to a Master of Science (MSc)

Course dates

  • Start date: 10 September 2018
  • End date: 30 September 2019

If you started this programme in 2017, you can find information about 2017 entry on the 2017 Statistics page. Information about all programmes from previous years of entry can be found in the archive.

Course duration

One year full time

Entry requirements

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.

The qualifications listed are indicative minimum requirements for entry. Some academic Schools will ask applicants to achieve significantly higher marks than the minimum. Obtaining the listed entry requirements will not guarantee you a place, as the University considers all aspects of every application including, where applicable, the writing sample, personal statement, and supporting documents.

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Tuition fees

UK and EU: £8,500
Overseas: £17,600

Application deadline

Applications are accepted until shortly before teaching starts in September. Applicants should apply as early as possible to be eligible for certain scholarships and for international visa purposes.

Application requirements

  • CV
  • personal statement (optional)
  • two original signed academic references
  • academic transcripts and degree certificates 
  • evidence of English language proficiency (required if English is not your first language).

For more guidance, see supporting documents and references for postgraduate taught programmes.

Course information

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.

Highlights

  • 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.

Teaching format

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.

Further particulars regarding curriculum development.

Modules

For an MSc in Statistics, a total of 180 credits are needed, with 150 credits from level 5000. 60 level 5000 credits come from the dissertation, so the remaining 120 credits must contain at least 90 from level 5000. The remaining 30 credits may be from level 3000 or above.

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 which is for the 2017-2018 academic year; some elements may be subject to change for 2018 entry.

Modules can be chosen from across the School's undergraduate and postgraduate-level modules.

  • Bayesian Inference
  • Computing in Statistics
  • Computing in Mathematics
  • Design of Experiments
  • Financial Mathematics
  • Markov Chains and Processes
  • Mathematical Biology 1
  • Population Genetics
  • Project in Mathematics / Statistics
  • Spatial Processes
  • Statistical Inference
  • Sampling Theory
  • Time Series Analysis
  • Advanced Analytical Techniques
  • Advanced Bayesian Inference
  • Advanced Combinatorics
  • Advanced Computational Techniques
  • Advanced Data Analysis
  • Advanced Fluid Dynamics
  • Applied Multivariate Analysis
  • Advanced Solar Theory
  • Advanced Symbolic Computation
  • Data Analysis
  • Advanced Topics in the History of Mathematics
  • Advanced Statistical Inference
  • Estimating Animal Abundance
  • Independent Study Module
  • Galois Theory
  • Knowledge Discovery and Datamining
  • Mathematical Biology 2
  • Measure and Ergodic Theory
  • Professional Skills for Mathematical Scientists
  • Statistical Modelling
  • Topics in Geometry and Analysis
  • Topics in Groups

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.


The modules listed here are indicative, and there is no guarantee they will run for 2018 entry. Take a look at the most up-to-date modules in the module catalogue

Visit St Andrews

If you are interested in studying at St Andrews, join us at an open day to explore the town, find out about our courses and meet current students.

Postgraduates

Upcoming visiting days:

  • Wednesday 14 November 2018

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Conferences and events

There are a number of different seminars held each week in the School of Mathematics and Statistics. These include:

Pure Mathematics
Pure Mathematics Colloquia
Algebra and Combinatorial Seminars
Analysis Group Seminars

Applied Mathematics
Applied Mathematics Seminars
Solar and Magnetospheric Theory Group Seminars

Statistics
Statistics Seminars
CREEM/NCSE Seminars

Funding

There are many potential scholarships or support schemes available to postgraduates.

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.

Find out more about postgraduate scholarships.

Recent Graduate Discount
The University of St Andrews offers a 10% discount in postgraduate tuition fees to students who are eligible to graduate or who have graduated from St Andrews within the last three academic years and are starting a postgraduate programme with the University of St Andrews.

After the MSc

Research degrees

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).

PhD in Mathematics and Statistics

Careers

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.

Contact information

School of Mathematics and Statistics
University of St Andrews
Mathematical Institute
North Haugh
St Andrews
KY16 9AL

Phone: +44 (0)1334 46 2344 
Email: 
maths-pgstats@st-andrews.ac.uk

Mathematics and Statistics website

Policies

Admission to the University of St Andrews is governed by our Admissions policy.

Curriculum development

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).

Tuition fees

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).