Data Science
Statistical Data Science MSc
Learning Mode
Full‑Time
Duration
1 Year
Start date
September Intake
Qualification
Master of Science (MSc)
Fees
£29,340 (International, 2024/25 entry)
Location
University of Birmingham Dubai
About the Course
The Statistical Data Science MSc at the University of Birmingham is a modern, research-driven program designed to prepare graduates for advanced roles in data analysis, statistical modelling, and quantitative research. Bridging statistics and computer science, this interdisciplinary course equips students with the knowledge and technical skills to extract meaningful insights from complex data in real-world settings.
Students gain hands-on experience in statistical software, programming in R and Python, machine learning techniques, and large-scale data interpretation. Delivered by leading academics in mathematics and statistics, the program combines theoretical understanding with practical applications, preparing graduates for data-driven roles across business, research, and government sectors.
Whether you’re entering the data science field or aiming to elevate your expertise, this MSc will empower you to become a confident and skilled data professional.
Why choose Data Science at Birmingham?
Industry Connected
Collaborate on real-world data challenges through industry-informed projects and benefit from the University’s strong links to research institutes and businesses.
Global Opportunities
Graduate from a Russell Group university recognised globally for excellence in teaching, research, and innovation.
Professional Accreditation
Course content is informed by the Royal Statistical Society (RSS) and prepares students for roles aligned with professional statistical standards.
Course Overview
The MSc in Statistical Data Science is a full-time postgraduate program that blends core statistical knowledge with the practical tools of modern data science. Topics include statistical inference, data visualisation, regression analysis, Bayesian methods, and computational statistics.
Students will explore both the mathematical theory and computational techniques used to solve real-world problems, culminating in a research-focused dissertation or industry-based project.
Course Duration
1 year full-time study, starting in September.
Course follows the UK academic calendar with three terms and an independent summer research project.
Course Curriculum
Core Modules:
- Statistical Programming (R and Python)
- Statistical Inference and Methods
- Machine Learning
- Computational Statistics
- Bayesian Statistics
- Data Visualisation and Communication
Final Project:
- MSc Dissertation (research-focused or applied industry-based project)
Optional topics may include:
- Time Series Analysis
- Stochastic Modelling
- High-Dimensional Data Analysis
Assessment is through a mix of exams, coursework, and project work.
Admission Requirements
- A 2:1 Honours degree (or equivalent) in Mathematics, Statistics, Computer Science, Engineering, or a related field
- Strong mathematical background essential
- IELTS: 6.5 overall (no less than 6.0 in any band) or equivalent English qualification
Fees and Funding
International Students (2024/25): £29,340
UK Students: £11,340
Merit-based scholarships and postgraduate bursaries available. Visit the funding section on the University’s website or speak to an admissions adviser for personalised options.
Career Opportunities
Graduates of this MSc are prepared for careers in:
- Data Science and Analytics
- Biostatistics
- Financial Services and Risk Analysis
- Machine Learning Engineering
- Research and Academia
- Government and Policy Advisory
You’ll also be well positioned for PhD-level research or specialist roles in statistics, AI, or quantitative consultancy.
Contact Us
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