MSci Data Science

In your third year, you’ll take on a major Data Science project where you get to choose your own topic and work one-on-one with a supervisor. You’ll take the project from idea to design to final delivery, developing real independence along the way. In your fourth year, you’ll step up to a master’s-level dissertation. This is your chance to dive deep into an advanced area you’re passionate about—whether that’s machine learning, big data, high-performance computing, game theory, or applications in fields like computational biology and genetics.

Collaborative Software Engineering Module
Second year brings a dedicated Software Engineering module designed around teamwork. You’ll work with classmates on every stage of the development process—from brainstorming and design to coding, testing, and long-term maintenance. It’s a great way to build practical project management and communication skills, while also learning how to design with the end user in mind.

Modern Digital Tools & Languages
You’ll graduate with solid hands-on experience using the tools and languages that today’s data scientists rely on:

• R for analysis and statistical modelling in modules like Introduction to Statistical Modelling and Linear Statistical Modelling with R.

• Python for machine learning, where you’ll explore regression, clustering, neural networks, support vector machines, and more.

• SQL in the Database Systems module, where you’ll learn how to design and query relational databases—the backbone of big data work.

Highly Equipped Computing Labs
Much of your practical learning takes place in the Department’s specialist computer labs. Here, you’ll solve real problems hands-on, applying the theory you learn in lectures to practical, technical challenges.

Learning Environment & Support
Your learning will be a blend of lectures, tutorials, supervisions, and lab work. You’ll typically have around 15 hours of contact time per week. Early on, you’ll study in larger groups to build a strong foundation, and later move into smaller, more specialised classes where you can focus more closely on your interests.

Study Abroad / Placement Year Option
For students looking to expand their horizons, the programme offers the chance to spend a year studying abroad or gaining industry experience through a placement. Both options are subject to availability and academic eligibility but provide fantastic opportunities to grow personally and professionally.

Specialist Facilities & Campus Resources
You’ll learn and collaborate in modern, well-designed spaces such as the Oculus learning hub, with its mix of lecture theatres and flexible study areas. You’ll also have full access to the University Library, home to over a million books and countless online journals to support your studies. Beyond that, the campus is full of social and quiet study spaces to suit the way you work best.

Dedicated Careers Support
Careers support is built into your degree. A Senior Careers Consultant is dedicated to your department, running workshops, employer events, and one-to-one sessions to help you with CV writing, interview prep, and exploring career paths in statistics, data science, and beyond.

At Warwick, you’ll have access to a dedicated Careers Service that’s there to guide you every step of the way. From one-to-one career advice and employer-led events to mock interviews, skills workshops, and careers fairs, you’ll have plenty of opportunities to prepare for the job market. Even after you graduate, Warwick continues to support you for up to two years.

Employment Statistics & Salary Figures
Warwick graduates are highly sought after. For Computer Science undergraduates (which includes Data Science MSci students), 95% are in graduate-level work or further study within 15 months of finishing their degree. The median salary for those in full-time roles in the UK stands at an impressive £40,000—showing the strength of your career prospects.

University–Industry Partnerships
Warwick’s strong industry connections open doors to leading employers worldwide. Alumni from related departments, such as Mathematics and Statistics, have gone on to work with global names like AstraZeneca, Amazon, BlackRock, Goldman Sachs, and Deloitte. While these examples aren’t specific to Data Science MSci, they highlight the calibre of opportunities available through Warwick’s network.

Long-Term Accreditation Value
The MSci is more than just a degree—it’s an integrated Master’s qualification that combines the depth of undergraduate study with advanced Master’s-level training. It’s a mark of specialist expertise that employers recognise and value, and it also gives you a strong foundation should you wish to continue into research or further academic study.

Graduation Outcomes
By the time you graduate, you’ll have a powerful combination of advanced skills in mathematics, statistics, and computing, alongside project-based learning and a master’s-level dissertation. This blend of theory and practice equips you to lead in data-driven fields such as finance, pharmaceuticals, telecoms, scientific research, and beyond.