Statistics MMath (Hons) 2020 entry
The MMath (Hons) in Statistics allows you to specialise in the branch of mathematics that focuses on collecting, analysing and presenting large quantities of numerical data. There are many practical applications for statistics, including fields such as science and medicine, government, business and education.
Students of Statistics will acquire the analytical techniques, clear logical thinking and deductive reasoning necessary to explore some of these fascinating areas of research.
The MMath (Hons) allows you to combine undergraduate and postgraduate study into a single five-year programme, graduating with a Masters degree. Students can also take Statistics as a standard four-year BSc degree.
UCAS code
G300
Course type
Master in Mathematics (Integrated Masters degree)
Course duration
Five years full time
- Start date: 7 September 2020
- End date: 30 June 2025
Information about all programmes from previous years of entry can be found in the archive.
Entry requirements
These grades are the overall standards required to consider you for entry. Find out more about Standard, Minimum and Gateway entry requirements using academic entry explained and see which entry requirements you need to look at using the entry requirements indicator.
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- Standard entry grades: AAAAB, including A in Mathematics
- Minimum entry grades: AABB, including A in Mathematics
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- Standard entry grades: A*A*A, including A* in Mathematics
- Minimum entry grades: A*AB, including A* in Mathematics
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- Standard entry grades: 38 (HL 6,6,6), including HL6 in Mathematics
- Minimum entry grades: 36 (HL 6,5,5), including HL6 in Mathematics
We accept a wide range of qualifications for entry on to our programmes. Please see our entry requirements for more information.
Direct entry to second year
Well-qualified school leavers may be able to apply for admission directly into the second year of this course, and others may be interested in the Fast Track degree route. Find out more about direct entry to second year and Fast Track for Statistics.
For degrees combining more than one subject, the subject with the higher entry requirements determines the grades you need. You will also need to meet any further subject specific entrance requirements as outlined on their pages.
International applicants
If English is not your first language you will need an overall IELTS score of 6.5, with a minimum score of 6.0 in each component (Reading, Writing, Listening and Speaking), or an equivalent English Language qualification.
Do I need to have studied this subject before?
Yes, applicants are expected to have studied Mathematics at SQA Higher, GCE A-Level, or equivalent.
General entry requirements
All applicants must have attained the following qualifications, or equivalent, in addition to the specific entry requirements for individual programmes.
SQA qualifications
GCSE qualifications
Other qualifications
More information on how to apply via other entry routes or accreditation of prior learning and experience can be found on the University’s entry requirements web page.
Reputation
The School of Mathematics and Statistics at the University of St Andrews has a reputation for the high quality of its teaching and was ranked third in the UK for Mathematics in the Guardian University Guide 2020, and third in the UK in the Complete University Guide 2020.
The School is ranked as second in Scotland for research, with more than 91% of the research output by staff in the School rated as internationally excellent or world-leading in the recent Research Excellence Framework 2014.
The University of St Andrews as a whole was voted top in the UK for student academic experience in The National Student Survey 2019 as 95% of St Andrews final year students were satisfied with the quality of the learning and teaching experience.
The University has secured a TEF Gold Award for the quality of teaching and the undergraduate experience.
Course information
The MMath (Hons) in Statistics is a five-year Integrated Masters course run by the School of Mathematics and Statistics. The course offers advanced study of statistics at postgraduate level during your final year, allowing you to graduate with a Masters degree.
In the first year, your studies will focus on mathematics, with the aim of reinforcing your basic skills before embarking upon the study of statistics in your second year. Your second year will focus on a central core of material within statistics which will provide the foundation for advanced study at Honours level.
Alongside Statistics, in the first year of your studies you will be required to study up to two additional subjects. In the second year, students only take Mathematics and Statistics modules. Find out more about how academic years are organised.
At Honours and Masters level, students may select modules from a range of options on advanced and specialist specific topics. Specialist subject areas may include:
- Bayesian inference
- statistical ecology
- statistical modelling
- times series analysis.
Final year students must also undertake an advanced project on a topic chosen in consultation with teaching staff at the School of Mathematics and Statistics.
Well-qualified school leavers may be able to apply for admission directly into the second year of this course, and others may be interested in the Fast Track degree route. Find out more about direct entry to second year and Fast Track for Statistics.
Students can also take Statistics as a standard four-year BSc degree.
The University of St Andrews operates on a flexible modular degree system by which degrees are obtained through the accumulation of credits. More information on the structure of the modules system can be found on the flexible degree structure webpage.
Find out more about studying statistics at St Andrews.
Modules
In the first two years of your degree (known as sub-honours) you will take the required modules in Statistics alongside modules in at least one other subject. Find out more about the modular Scottish degree system.
Students will take between one and three first-year modules in mathematics. There is one core compulsory module, 'Mathematics', that can be studied in either semester.
- Mathematics:introduces the ideas and techniques required for further study of mathematics or applications to other sciences.
Students who do not possess at least a B at Advanced Higher or A-Level Mathematics will need to take Introductory Mathematics in their first semester before taking the compulsory Mathematics module. This option is popular for students on different degree routes who wish to study Mathematics.
- Introductory Mathematics: designed for students who do not meet the entry requirements for the first-year Mathematics module. Provides a secure base in elementary calculus.
First year students interested in Statistics can also choose modules in Mathematics, and in Pure and Applied Mathematics. Find a full list of first year Mathematics modules in the module catalogue.
Students will take the following compulsory second-year modules:
- Abstract Algebra: explores the key concepts of modern abstract algebra: groups, rings and fields.
- Analysis: introduces key concepts of real analysis: limit, continuity and differentiation.
- Combinatorics and Probability: introduces counting techniques for finite structures and the behaviour of random variables.
- Linear Mathematics: introduces the theory of vector spaces, linear independence, linear transformations and diagonalisation..
- Mathematical Modelling: investigates the translation of physical problems into mathematics.
- Multivariate Calculus:extends the techniques of calculus in a single variable to the setting of real functions of several variables.
- Statistical Inference: introduces techniques for drawing inferences about population characteristics from observed data.
- Vector Calculus: introduces the theory of scalar and vector fields and associated techniques for the modelling of problems arising in the physical world.
If you decide to take Statistics in your final three years, you choose from a wide variety of advanced options, ranging from statistical theory to practical applications in computer science.
Here is a sample of Honours modules which have been offered in previous years:
- Bayesian Inference
- Markov Chains and Processes
- Population Genetics
- Quantitative Risk Management.
In fifth year, you will be able to take Masters-level modules. In the past, these have included:
- Advanced Data Analysis
- Applied Multivariate Analysis
- Estimating Animal Abundance and Biodiversity
- Medical Statistics.
In your final year, you also undertake an advanced project on a topic chosen in consultation with the teaching staff at the School of Mathematics and Statistics. You will be required to investigate the topic in some depth, submit a report and give a presentation.
The compulsory modules listed here must be taken in order to graduate in this subject. However, most students at St Andrews take additional modules, either in their primary subject or from other subjects they are interested in. For Honours-level, students choose from a range of Honours modules, some of which are listed above. A full list of all modules available for the current academic year can be found in the module catalogue
Teaching
Teaching format
In first year, teaching for each module centres on a daily lecture (100 to 250 students) and a weekly small group tutorial (8 to 12 students) where students undertake exercises and discuss each week’s topics. In addition, computer labs (25 to 60 students) are held once a week for each module, to assist with both computing and problem solving skills.
In second year, each module typically comprises five lectures (100 to 250 students), one tutorial (8 to 12 students), one computer lab (25 to 60 students), and one examples class (25 to 60 students) per fortnight.
You will develop increasing independence and initiative as you progress through your degree programme so that by third, fourth and fifth year the average teaching load drops to around ten hours of lectures and four tutorials per week, supplemented by private study.
When not attending lectures, tutorials and computer labs, you will be expected to continue learning independently through self-study. Typically, this will involve:
- working on individual and group projects
- undertaking research in the library
- preparing coursework assignments and presentations
- preparing for examinations.
You will be taught by leading staff in the field. Postgraduate research students who have undertaken teacher training may also contribute to the teaching of tutorials, examples classes and computing classes under the supervision of the module leader.
Find contact information for all Mathematics staff on the School of Mathematics and Statistics website.
In addition to your studies in the School, optional academic support is available through practical study skills courses and workshops hosted within the University.
The University’s student services team can help students with additional needs resulting from disabilities, long term medical conditions or learning disabilities. More information can be found on the students with disabilities webpage.
Assessment
Progress is monitored through tutorial assignments and almost all of the modules are assessed by a balanced combination of coursework and written exams.
Examinations are held at the end of each semester during a dedicated exam diet with revision time provided beforehand.
The School aims to provide feedback on every assessment within three weeks to help you improve on future assessments.
Undergraduates at the University of St Andrews must achieve at least 7.0 on the St Andrews 20-point grade scale to pass a module. To gain access to Honours-level modules, students must achieve the relevant requisites as specified in the policy on entry to Honours and in the relevant programme requirements. Please note that some Schools offer qualified entry to Honours, and this will be clearly specified in the programme requirements. To find out the classification equivalent of points, please visit the common reporting scale webpage.
Fees
Tuition fees for 2020 entry
| Scotland and EU | £1,820 |
|---|---|
| Rest of the UK | £9,250 |
| Overseas | £23,910 |
For overseas students, tuition fees will be fixed at this level for the duration of your programme.
More information on tuition fees can be found on the undergraduate fees and funding page.
Accommodation fees
Find out about accommodation fees for University accommodation,
Funding and scholarships
The University of St Andrews offers a number of scholarships and support packages to undergraduate students each year.
Find out more about undergraduate scholarships.
Your future
Careers
The demand for mathematically trained graduates exceeds the supply, and therefore the career prospects for graduates in Mathematics from St Andrews are excellent in a variety of fields. Clear logical thinking, deductive reasoning, confidence in data handling, and IT skills are attributes that are highly prized by employers.
Over 50% of Statistics graduates gain employment with:
- computer consultancies
- financial services organisations (for example, Goldman Sachs, KPMG, and PwC)
- industry
- insurance companies
- merchant banks
- the civil service.
The Careers Centre offers one-to-one advice to all students as well as a programme of events to assist students to build their employability skills.
Study abroad
Statistics students may participate in the University-wide St Andrews Abroad programme. For information about study abroad options, please see the Study Abroad site.
Student life
From the outset, the University of St Andrews offers an array of events and opportunities which result in a truly unique student experience. Students participate in a range of traditions, notably, the red academic gown and the academic family, where older students adopt first year students as ‘children’ and help guide them in a system of mentoring. These traditions and the choice of over 150 sports clubs and student societies to choose from ensures a community feel amongst students from first year onwards.
Students of Statistics may be interested in joining the Mathematics Society (SUMS), a society dedicated to bringing people together who are interested in maths. They hold regular socials and informative talks from guest speakers.
The School of Mathematics and Statistics is currently split between two sites: the Mathematical Institute on the North Haugh and the Scott Lang Building at the Observatory. Most of the Statistics staff and research students can be found at the Observatory.
The town of St Andrews itself has lots to offer. As University buildings are located throughout the town, walking around you encounter ancient and modern buildings and areas of greenery and seaside which provide a rich, beautiful backdrop to learning. If you want a change of scenery, St Andrews' position near surrounding towns and cities such as Anstruther, Dundee and Edinburgh makes it ideal for getting to know more about Scotland.
Find out more about student life at the University of St Andrews.
“Mathematics has a great community spirit with plenty of support systems in place for students to help each other like Maths Base and the buddy system. There are lots of options available in different areas of statistics, pure and applied maths.”
Anna (Lincolnshire, England)
Contact information
School of Mathematics and Statistics
University of St Andrews
Mathematical Institute
North Haugh
St Andrews
KY16 9SS
Phone: +44 (0)1334 46 3744
Email: maths-admissions@st-andrews.ac.uk
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).