Enter OTP
The MSc Data-Intensive Analysis at the University of St Andrews is an intensive, one-year, full-time program jointly delivered by the School of Mathematics and Statistics and the School of Computer Science.
It provides rigorous, interdisciplinary training in statistical theory, computational data science, data visualisation, and predictive modelling using industry-standard technologies.
The curriculum blends mathematical and computational approaches, preparing graduates to analyse large datasets and build deployable data-driven models.
Course Overview:
Core: Introductory Data Analysis, Advanced Data Analysis, Knowledge Discovery and Data mining, Applied Statistical Modelling using GLMs
Optional: Computing in Statistics, Data-Intensive Systems, Information Visualisation, Masters Programming Projects, Object-Orientated Modelling, Design and Programming, Programming Principles and Practice, Software for Data Analysis
Teaching: Delivered through lectures, seminars, tutorials, and practical computing classes.
Assessment: Assessed via coursework, written exams, and a dissertation project.
Three-month dissertation project with options for industry collaboration.
Group-based and individual projects with real-world application.
Access to 24-hour computing labs with dual-screen workstations.
Exposure to industry-standard statistical software and programming environments.
Strong graduate employability in commercial, financial, and research sectors, including ASOS, the Civil Service, and Lloyds Banking Group.
Pathway to PhD study in data science, statistics, or computer science.
Accredited by the Royal Statistical Society, granting eligibility for Graduate Statistician (GradStat) status.
Entry Requirements: A 2:1 undergraduate Honours degree in a STEM subject or equivalent professional experience. IELTS: 6.5 with no component score below 6.0TOEFL iBT: 94 overall; L20, R19, W24 and S20Scholarships availableYour 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.Graduates can apply to the Royal Statistical Society for the professional status of Graduate Statistician (GradStat) without the need for further examination.Data ScientistQuantitative AnalystSoftware EngineerData AnalystRisk AnalystResearch Scientist
Embark on your educational journey with confidence! Our team of admission experts is here to guide you through the process. Book a free session now to receive personalized advice, assistance with applications, and insights into your dream school. Whether you're applying to college, graduate school, or specialized programs, we're here to help you succeed.
University of St Andrews
