The MSc Statistics with Data Science at the University of Edinburgh is a rigorous, industry-relevant program that integrates advanced statistical theory with practical data science skills.
Students undertake two consultancy-style projects with real industrial clients, gaining hands-on experience in solving complex data problems.
The curriculum prepares graduates to become expert statisticians capable of applying sophisticated modelling and data science techniques in diverse sectors.
Course Overview:
Bayesian Data Analysis
Bayesian Theory
Design and Sampling for Data Science
Extended Statistical Programming
Generalised Regression Models
Statistical Research Skills
Disseratation Project
Optional:
Biostatistics
Credit Scoring
Fundamentals of Operational Research
Fundamentals of Optimization
Incomplete Data Analysis
Large Scale Optimization for Data Science
Machine Learning and Pattern Recognition*
Teaching: Delivered through lectures, tutorials, computer-based workshops, and intensive consultancy-style projects.
Assessment: Assessed via practical coursework, statistical projects, industrial consultancy tasks, and a portfolio of applied work.
Two 5-6 week consultancy-style projects with external industry partners such as Lloyds Banking Group, AzkoNobel, Public Health Scotland, and Simply Business.
Annual Analytics Challenge with industry participation.
Real-world problem solving through employability workshops and guest sessions.
Opportunities to engage with external organisations via project work and networking events.
Graduates progress to roles in banking, insurance, healthcare, public policy, consulting, and technology.
Strong pathway to PhD study or advanced research-based careers in statistics, data science, or quantitative disciplines.
Accredited by the Royal Statistical Society (RSS), providing eligibility for the Graduate Statistician professional award.
High employability supported by strong industry partnerships and real-world consultancy experience.
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