Program Overview

Introduction to the Data Analytics MSc Program

The Data Analytics MSc program at the University of Glasgow is designed to provide students with a thorough grounding in state-of-the-art methods for learning from data, both in terms of statistical modeling and computation. This program is ideal for those who want to gain practical hands-on experience in carrying out various data-driven analytical projects.

Program Structure

The program consists of two semesters of taught courses, followed by a summer project. Students are required to take 10 compulsory taught courses and select 1 taught course from the optional courses in semester 2.

Semester 1 Core Courses

• Probability (Level M)
• Regression Models (Level M)
• Statistical Inference (Level M)
• Databases and Data Analytics (M)
• Introduction to statistical programming in R and Python

Semester 2 Core Courses

• Advanced Predictive Models
• Bayesian Statistics (Level M)
• Big Data Analytics (Level M)
• Data Analysis Skills (Level M)
• Data Mining and Machine Learning

Semester 2 Optional Courses

• Information Visualisation (M)
• Environmental and Ecological Statistics (Level M)
• Spatial Statistics (Level M)
• Statistical Genetics (Level M)
• Functional Data Analysis (Level M)
• Design of Experiments (Level M)

Project (Summer)

One of the following projects can be chosen:

• Statistics Project and Dissertation
• Statistics Project and Dissertation (with Placement)

Career Prospects

Graduates of the Data Analytics MSc program have an excellent track record of gaining employment in many sectors, including medical research, the pharmaceutical industry, finance, and government statistical services. Others have continued to a PhD.

Fees and Funding

Tuition Fees

• Home & RUK (Full-time): ｣12,960
• International & EU (Full-time): ｣34,470

Fee Status

Guidance on fee status is available.

Deposits

International and EU applicants are required to pay a deposit of ｣2,000 when an offer is made.

Additional Fees

• Fee for re-assessment of a dissertation (PGT program): ｣370
• Submission of thesis after deadline lapsed: ｣350
• Registration/exam only fee: ｣170

Funding Opportunities

The University of Glasgow offers various scholarships, including:

• University of Glasgow, Wuhan University Scholarship (Mathematics and Statistics)
• ScottishPower Master Scholarship
• The Bseisu- University of Glasgow Scholarship
• University of Glasgow CoSE-UGM Alumni Scholarship
• Banco de Mexico
• The Snowdon Trust Masters Scholarship
• CONACyT (Consejo Nacional de Ciencia y Tecnologia) / FUNED Agreement
• ANID (la Agencia Nacional de Investigaci y Desarrollo)
• University of Glasgow African Excellence Award
• University of Glasgow Caribbean Excellence Award
• World Changers Glasgow Scholarship
• Glasgow Excellence Award (UK)
• Postgraduate Access Scholarship
• World Changers Glasgow Scholarship PGT (EU)
• Global Leadership Scholarship
• GREAT Scholarships 2026
• The Humanitarian Scholarship
• Chevening Scholarship
• India Excellence Award
• Erasmus+ Master Degree Loans
• Postgraduate Student Loan (Scotland and EU)
• Postgraduate Loans for Welsh Students
• Postgraduate Tuition Fee Loans England only (PTFL)
• Colfuturo Fundacion para el Futuro de Colombia
• Commonwealth Scholarship Schemes
• DAAD-University of Glasgow 1-year Masters grant
• Sanctuary Scholarships
• Alumni Discount
• The Clan Gregor Society Prize
• Travel Bursary for Forced Migrants
• The Dima Alhaj Scholarship
• Glasgow Highland Society Scholarship

Entry Requirements

Academic Requirements

• A degree 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) with at least 20% of credit-bearing modules in University Level Mathematics at an average grade of pass.

Accepted Modules

The following modules are normally accepted to meet the credit-bearing module requirement:

• Calculus
• Complex Analysis
• Discrete Mathematics
• Econometrics
• Group Theory (Or Groups)
• Linear Algebra
• Mathematical Analysis
• Mathematics
• Mechanics
• Multivariate Statistical Analysis
• Numerical Analysis Mathematics
• Ordinary Differential Equations
• Partial Differential Equations
• Probability
• Real Analysis
• Real Variable function
• Statistics
• Stochastic Methods
• Topology

English Language Requirements

For applicants from non-English speaking countries, the University sets a minimum English Language proficiency level. The accepted English language qualifications include:

• International English Language Testing System (IELTS) Academic and Academic Online
• TOEFL (ibt, mybest or athome)
• Pearsons PTE Academic
• Cambridge Proficiency in English (CPE) and Cambridge Advanced English (CAE)
• Oxford English Test
• LanguageCert Academic/ Academic Online
• Password Skills Plus
• Trinity College Integrated Skills in English II
• Kaplan Test of English

How to Apply

To apply for the Data Analytics MSc program, applicants must submit their application online. The application should include:

• A copy (or copies) of the official degree certificate(s)
• A copy (or copies) of the official academic transcript(s)
• Official English translations of the certificate(s) and transcript(s)
• One reference letter on headed paper
• Evidence of English language ability (if the first language is not English)
• Any additional documents required for the program
• A copy of the photo page of the passport

Application Deadlines

International & EU Applicants

The application process has several rounds with different deadlines:

• Round 1: 1 October 2025 to 5 November 2025
• Round 2: 6 November 2025 to 17 December 2025
• Round 3: 18 December 2025 to 4 February 2026
• Round 4: 5 February 2026 to 25 March 2026
• Round 5: 26 March 2026 to 13 May 2026
• Round 6: 14 May 2026 to 8 July 2026

Home Applicants

The application deadline for Home applicants is 21 August 2026.