The PGDip/MSc in Applied Statistics and Datamining is a commercially relevant programme of study providing students with the statistical data analysis skills needed for business, commerce and other applications.
Postgraduate; leading to a Postgraduate Diploma (PGDip) or Master of Science (MSc)
If you started this programme in 2018, you can find information about 2018 entry on the 2018 Applied Statistics and Datamining page. Information about all programmes from previous years of entry can be found in the archive.
Ten months full time (PGDip); one year full time (MSc)
A good 2.1 undergraduate Honours degree in Mathematics, Statistics or in an area with substantive mathematical or statistical content.
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.
UK and EU: £9,000
Overseas: £18,480
Monday 12 August 2019. Applicants should apply as early as possible to be eligible for certain scholarships and for international visa purposes.
For more guidance, see supporting documents and references for postgraduate taught programmes.
The PGDip/MSc in Applied Statistics and Datamining is a one-year taught programme run by the School of Mathematics and Statistics. The course is aimed at those with a good degree containing quantitative elements who wish to gain statistical data analysis skills.
The programme consists of two semesters with taught components which include a mixture of short, intensive courses with a large proportion of continuous assessment and more traditional lecture courses with end-of-semester exams.
For those on the MSc, the taught component will be followed by a dissertation project taking place during the last three months of the course.
The School of Mathematics and Statistics is well equipped with personal computers and laptops, a parallel computer and an on-site library.
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 2018-2019 academic year; some elements may be subject to change for 2019 entry.
Students choose one optional module, which can be chosen from the School's modules at level 3000 or above.
In addition, students may take modules from the School of Computer Science that are consistent with the degree. Representative examples of these modules are:
Optional modules are subject to change each year, and some may only allow limited numbers of students (see the University's position on curriculum development).
MSc students complete a dissertation during the final three months of the course 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 2019 entry. Take a look at the most up-to-date modules in the module catalogue.
There are a number of different seminars held each week in the School of Mathematics and Statistics. These include:
Pure Mathematics
Statistics
There are many potential scholarships or support schemes available to postgraduates.
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.
The MSc in Applied Statistics and Datamining prepares students for further postgraduate studies in statistical data 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:
Graduates from this programme typically seek employment as analysts within a company, research body, government, or as statistical consultants.
Recent graduates have found employment in:
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 in building their employability skills.
School of Mathematics and Statistics
University of St Andrews
Mathematical Institute
North Haugh
St Andrews
KY16 9SS
Phone: +44 (0)1334 46 2344
Email: maths-pgstats@st-andrews.ac.uk
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).
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