University of Glasgow

University of Glasgow

Statistics

This Masters in Statistics will provide you with knowledge and experience of the principles, theory and practical skills of statistics. **Contact: pgadmissions@glasgow.ac.uk September start MSc: 12 months full-time** **WHY THIS PROGRAMME** Statistical analysis and data mining is ranked 2nd in the Top 10 Most In-Demand Hard Skills 2018, Linkedin. The Statistics Group at Glasgow is a large group, internationally renowned for its research excellence. Our expertise spans topics including: biostatistics and statistical genetics; environmental statistics; statistical methodology; statistical modelling and the scholarship of learning and teaching in statistics. Our Statistics MSc programmes benefit from close links lecturers have with industry and non-governmental organisations such as NHS and SEPA. You will be taught by world-leading experts in their fields and will participate in an extensive and varied seminar programme, are taught by internationally renowned lecturers and experience a wide variety of projects. You will develop a thorough grasp of statistical methodology, before going on to apply statistical skills to solve real-life problems. Our students graduate with a varied skill set, including core professional skills, and a portfolio of substantive applied and practical work. You will be equipped with the skills needed to begin a career as a professional statistician; previous study of statistics is not required. **PROGRAMME STRUCTURE** Modes of delivery of the Masters across the Statistics programmes include lectures, laboratory classes, seminars and tutorials and allow students the opportunity to take part in lab, project and team work. **Core courses (compulsory)** - Bayesian statistics - Generalised linear models - Introduction to R programming - Probability 1 - Regression models - Statistical inference 1 - Statistics project and dissertation. **Optional courses (six chosen, but at least one course must be from Group 1)** **Group 1** - Data analysis - Professional skills. **Group 2** - Biostatistics - Computational inference - Data management and analytics using SAS - Design of experiments - Environmental statistics - Financial statistics - Functional data analysis - Machine learning - Multivariate methods - Spatial statistics - Statistical genetics - Stochastic processes - Time series. 1 Any student who, in the course of study for his or her first degree, has already completed the equivalent of the Probability and/or Statistical inference courses can substitute these courses by any other optional course (including optional courses offered as part of the MRes in Advanced Statistics). The choice of substituting courses is subject to approval by the Programme Director. **Summer (May - August)** **Statistics project and dissertation (60) - assessed by a dissertation.** **Programme alteration or discontinuation** The University of Glasgow endeavours to run all programmes as advertised. In exceptional circumstances, however, the University may withdraw or alter a programme. For more information, please see: Student contract. www.gla.ac.uk/myglasgow/senateoffice/studentcontract/ **CAREER PROSPECTS** Data is becoming an ever increasing part of the modern world, yet the talent to extract information and value from complex data is scarce. There is a massive shortage of data-analytical skills in the workforce. Statistical analysis and data mining is ranked 2nd in the Top 10 Most In-Demand Hard Skills 2018 by LinkedIn. This programme opens up a multitude of career opportunities and/or boosts your career trajectory Our graduates have an excellent track record of gaining employment in many sectors including medical research, the pharmaceutical industry, finance and government statistical services, while others have continued to a PhD. Graduates of this programme have gone on to work for the NHS and companies such as RBS.

Entry requirements

MSc: A first degree equivalent to a UK Upper Second Class Honours degree, normally with a substantial Mathematics component (at least equivalent to Level-1 courses in Mathematics and Level-2 courses in Calculus and Linear Algebra at the University of Glasgow). Graduates who only have A-Level Mathematics (at grade A or better), or equivalent, may also be admitted to the programme. However such candidates are required to work through self-study material provided and attend a pre-sessional course on Elementary Mathematics (to be taught in the two weeks preceding the start of the teaching period of semester 1). International students with academic qualifications below those required should contact our partner institution, Glasgow International College, who offer a range of pre-Masters courses. English language requirements For applicants whose first language is not English, the University sets a minimum English Language proficiency level. International English Language Testing System (IELTS) Academic module (not General Training) overall score 6.5 no sub-test less than 6.0 or equivalent scores in another recognised qualification: Common equivalent English language qualifications All stated English tests are acceptable for admission for both home/EU and international students for this programme: ibTOEFL: 90; no sub-test less than: Reading: 20 Listening: 19 Speaking: 19 Writing: 23 CAE (Cambridge Certificate of Advanced English): 176 overall; no sub-test less than 169 CPE (Cambridge Certificate of Proficiency in English): 176 overall; no sub-test less than 169 PTE Academic (Pearson Test of English, Academic test): 60; no sub-test less than 59 Trinity College London Integrated Skills in English: ISEII at Distinction with Distinction in all sub-tests For international students, the Home Office has confirmed that the University can choose to use these tests to make its own assessment of English language ability for visa applications to degree level programmes. The University is also able to accept an IELTS test (Academic module) from any of the 1000 IELTS test centres from around the world and we do not require a specific UKVI IELTS test for degree level programmes. We therefore still accept any of the English tests listed for admission to this programme. Pre-sessional courses The University of Glasgow accepts evidence of the required language level from the English for Academic Study Unit Pre-sessional courses. We also consider other BALEAP accredited pre-sessional courses: School of Modern Languages and Cultures: English for Academic Study BALEAP guide to accredited courses

Course modules

Modes of delivery of the Masters across the Statistics programmes include lectures, laboratory classes, seminars and tutorials and allow students the opportunity to take part in lab, project and team work. Core courses (compulsory): Bayesian statistics Generalised linear models Introduction to R programming Probability 1 Regression models Statistical inference 1 Statistics project and dissertation. Optional courses (six chosen, but at least one course must be from Group 1): Group 1: Data analysis Professional skills. Group 2: Biostatistics Computational inference Data management and analytics using SAS Design of experiments Environmental statistics Financial statistics Functional data analysis Machine learning Multivariate methods Spatial statistics Statistical genetics Stochastic processes Time series. 1 Any student who, in the course of study for his or her first degree, has already completed the equivalent of the Probability and/or Statistical inference courses can substitute these courses by any other optional course (including optional courses offered as part of the MRes in Advanced Statistics). The choice of substituting courses is subject to approval by the Programme Director. Summer (May - August): Statistics project and dissertation (60) - assessed by a dissertation. Programme alteration or discontinuation The University of Glasgow endeavours to run all programmes as advertised. In exceptional circumstances, however, the University may withdraw or alter a programme. For more information, please see: Legal statements: Disclaimer.

Assessment methods

Dissertation

Sponsorship information

Qualifications

Qualification Study mode Start month Fee Course duration
MSc Full-time September 2019 7,650 per Year 1 (England) 12 Months
MSc Full-time September 2019 7,650 per Year 1 (Scotland) 12 Months
MSc Full-time September 2019 19,300 per Year 1 (International) 12 Months
MSc Full-time September 2019 7,650 per Year 1 (Northern Ireland) 12 Months
MSc Full-time September 2019 7,650 per Year 1 (EU) 12 Months
MSc Full-time September 2019 7,650 per Year 1 (Wales) 12 Months

Campus details

Campus name Town Postcode Region Main campus Campus Partner
University of Glasgow G12 8QQ Scotland

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Key information

Contact: 
Postgraduate Admissions Team
Telephone number: 
01413304515