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The MSc Data Analytics at the University of Glasgow is a 12-month, full-time program that provides comprehensive training in modern data analytics, combining statistical modeling, computational techniques, and practical programming.
Accredited by the Royal Statistical Society, the program is designed for graduates from diverse academic backgrounds, with no prior requirement in statistics or computing science.
Delivered by a world-class statistics group, the course emphasizes applied skills, real-world projects, and industry collaboration, preparing students for both advanced study and employment in data-driven sectors.
Course Overview:
Core:
Probability
Regression Models
Statistical Inference
Database Theory and Analytics
Introduction to statistical programming in R and Python
Advanced Predictive Models
Bayesian Statistics
Big Data Analytics
Data Analysis Skills
Data Mining and Machine Learning
Statistics Project and Dissertation
Optional:
Information Visualisation
Environmental Statistics
Spatial Statistics
Statistical Genetics
Design of Experiments
Teaching: Delivered through lectures, seminars, practical labs, and project-based learning.
Assessment: Assessed via coursework, practical projects, and a summer research project.
Hands-on training using R and Python for statistical programming.
Summer project focused on applied research or real-world data challenges.
Access to The Data Lab Masters Scholarships for Scottish students, which include employability training and potential paid placements.
Direct industry exposure through networking events and collaborations.
Graduates have strong employment prospects in pharmaceuticals, finance, government, and medical research.
Opportunities for progression to PhD-level study in data analytics, statistics, or related fields.
Career support through The Data Lab’s industry connections and employability programs.
Entry Requirements: 2.1 Hons (or non-UK equivalent) in a subject with a substantial mathematics component with at least 20% of credit bearing modules in University Level Mathematics at an average grade of pass.IELTS: 6.5 with no subtests under 6.0TOEFL (ibt, mybest or athome): 90 overall with Reading 20; Listening 19; Speaking 19; Writing 21Scholarships and funding opportunities availableThe Masters in Data Analytics is accredited by the Royal Statistical Society.Your personal details, academic qualifications (predicted works too), a personal statement, evidence of your English language skills (with relevant qualifications), a reference and employment history are required for applications.Data AnalystData ScientistBusiness Intelligence AnalystFinancial AnalystProduct AnalystHealthcare AnalystMachine Learning EngineerData EngineerOperations AnalystDigital Marketing Analyst
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University of Glasgow
