MSc in Advanced Statistics, University of Glasgow

12 Months

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About this course

The MSc in Advanced Statistics at Glasgow is designed to give you a thorough understanding of statistical principles, theory, and practical skills. Taught on the Gilmorehill campus, this 12-month full-time program begins in September and involves a mix of lectures, laboratory classes, seminars, and tutorials. You'll take one compulsory course and select 11 optional courses across two semesters, focusing on developing core professional skills and applying statistical methods to real-world problems. The program offers an extensive seminar series and the chance to work on various projects, preparing you for a career as a professional statistician or further research. The faculty includes world-leading experts in biostatistics, environmental statistics, statistical genetics, and more, with strong links to organizations like NHS and SEPA.

Why this course is highly recommended

This MSc benefits from Glasgow’s renowned Statistics Group, known for research excellence and strong external links with organizations like NHS, SEPA, and CEH. The program is accredited by the Royal Statistical Society and involves teaching from world-leading experts. It combines theoretical knowledge with practical application, ensuring graduates develop a comprehensive skill set valued across sectors such as healthcare, pharmaceuticals, finance, and government. The program’s emphasis on applied skills, projects, and an extensive seminar series makes it ideal for those looking to enter or advance in data-driven careers.

Specialisation

While the program offers a broad range of topics, including biostatistics, statistical genetics, environmental statistics, Bayesian methods, and statistical modelling, students can tailor their studies through optional courses in semesters 1 and 2. These include Advanced Bayesian Methods, Biostatistics, Environmental Statistics, Spatial Statistics, and more, allowing specialization in areas such as Bayesian Statistics, Design of Experiments, or Functional Data Analysis based on individual interests and career aspirations.

Course fees

Application fees

1st year tuition fees

33.57L

Living cost

Degree requirements

Applicants need a 2.1 Honours degree or its non-UK equivalent in a field with substantial Mathematics and Statistics components. Acceptance of modules includes calculus, algebra, probability, and various analysis courses, with the requirement that the mathematics component is at least Level-1 and the statistics component includes Honours-level courses in probability and linear models. English language proficiency with IELTS 6.5 overall (no subtest less than 6.0) or equivalent tests such as TOEFL, PTE, or Cambridge exams is also required.

English language test

PTE

TOEFL

DUOLINGO

IELTS

6.5

Want to learn more about the admission process, eligibility criteria, and acceptance rates for international students? Visit the University of Glasgow admission page for complete details.

Career prospects

Graduates of this program are equipped to pursue careers in medical research, pharmaceuticals, finance, and government statistical services. The program addresses the shortage of data analytical skills in the workforce, which enhances employment opportunities across various sectors. Recent graduates have gone on to work for companies like Lloyds Banking Group, Equifax, and Moodys, while others continue to PhD studies. The skills acquired also open doors to roles in data analysis, statistical modelling, and research leadership.

FAQs

Are previous studies in statistics required?

No, previous study of statistics is not required. The program provides thorough training and skills needed for a career as a professional statistician.

What are the English language requirements?

Applicants from non-English speaking countries need an IELTS score of 6.5 overall, with no subtest under 6.0, or equivalent scores in other recognized tests like TOEFL or PTE.