Statistical Data Science
Entry requirements
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2:1 Honours Degree
In Mathematics and/or Statistics or a programme with advanced mathematical and/or statistical components.
Months of entry
September
Course content
If you enjoy complex data analysis, our Statistical Data Science MSc is for you. Learn the blend of statistical theory and data science techniques, and you’ll be in high demand.
Our course prepares you to integrate and apply your knowledge of statistics and data science. You'll be able to analyse, interpret, and provide well-reasoned solutions to complex challenges, making you invaluable in the statistical data science field.
You'll be well equipped for roles in finance, healthcare, technology or government where data-driven insights are key to decision making.Master diverse programming techniques and machine learning methodologies tailored for real-world applications. We blend core knowledge with practical skills, preparing you to communicate complex statistical concepts and work independently. With a variety of modules, you can specialise and delve into advanced topics, ensuring you're well-equipped for today's competitive job market.
- Develop the ability to critically analyse complex problems, applying fundamental principles to uncover insights and inform decision-making across diverse contexts.
- Master programming languages and essential software packages for data analysis, particularly those integral to machine learning and artificial intelligence.
- Model real-world problems within a statistical framework and employ appropriate statistical and data science techniques.
Information for international students
Standard English language requirements apply (IELTS 6.0 with no less than 5.5 in any band).
Fees and funding
Please refer to Postgraduate Taught Fees - University of Birmingham for more information.
Qualification, course duration and attendance options
- MSc
- full time12 months
- Campus-based learningis available for this qualification
Course contact details
- Name
- Admissions Team
- eps-apply@contacts.bham.ac.uk