MSci Data Science

Through the programme, you’ll benefit from:

• Projects & Supervised Research:
  You’ll undertake a substantial Data Science project in your third year, where you select your topic and supervisor, and carry the project from concept through design to delivery. In your fourth year, you'll complete a master’s-level dissertation—a major supervised research project that lets you specialise in cutting-edge areas like advanced statistical learning, big data, high-performance computing, algorithmic game theory, or computational biology and statistical genetics.

• Collaborative Software Engineering Module:
  In Year Two, you’ll participate in a Software Engineering module where you work closely with peers through all stages of software development—from design and modelling to implementation, evaluation, and maintenance. This module emphasises teamwork, project management, user-centred design, and communication skills.

• Modern Digital Tools & Languages:
  You’ll gain hands-on experience using industry-standard tools:

  • R for data analysis and statistical modelling (e.g., in the ‘Introduction to Statistical Modelling’ and ‘Linear Statistical Modelling with R’ modules). 

  • Python, through intensive module work including machine learning classes (covering regression, clustering, neural networks, SVMs, etc.).

  • SQL through the ‘Database Systems’ module, which teaches relational database design and querying—the backbone of handling large datasets.

• Highly Equipped Computing Labs:
  Practical sessions are hosted in the Department’s well-equipped undergraduate computing laboratory, where problem-solving is king. These labs are where you’ll apply your learning first-hand.

• Learning Environment & Support:
  You’ll learn via a blend of lectures, small-group tutorials, supervisions, and computer labs—and all are supported by strong teaching and assessment frameworks. Contact time is typically around 15 hours per week, with core modules initially larger, transitioning to smaller, more focused groups in later years.

• Study Abroad / Placement Year Option:
  If you’re interested in gaining international experience or industry immersion, the programme offers the possibility of an intercalated year abroad or placement year, subject to academic eligibility and availability.

• Specialist Facilities & Campus Resources:

  • You’ll study within the Oculus learning hub, packed with lecture theatres and dynamic social-learning zones.

  • Access to the University Library, which provides over a million print works and a vast collection of electronic journals, ideal for your research.

  • Across campus, you’ll find plenty of flexible study spaces—perfect for individual or group study.

• Dedicated Careers Support:
  You’ll have a professionally-qualified Senior Careers Consultant assigned to your department, who runs tailored workshops and fairs—from CV-building and interview prep to networking and exploring careers in statistics and data science

Here’s what awaits you as a Warwick MSci Data Science student—presented clearly and confidently:

• University Services Supporting Employment:

  • The Warwick Careers Service offers one-to-one advice, employer events, mock interviews, workshops, and careers fairs—and remains available up to two years post-graduation.

• Employment Statistics & Salary Figures:

  • For all Computer Science undergraduates (including Data Science MSci), 95% are in graduate employment or further study within 15 months, with a median salary of £40,000 for full-time roles in the UK.

• University–Industry Partnerships:

  • Alumni and students benefit from strong industry ties—as seen in related departments (like Mathematics & Statistics), with graduates employed at leading firms such as AstraZeneca, Amazon, BlackRock, Goldman Sachs, and Deloitte.

  • Although not specific to Data Science MSci, these connections reflect the calibre and reach of departmental networks.

• Long-Term Accreditation Value:

  • The MSci is a Master’s-level integrated undergraduate degree, combining depth and rigor, and develops specialist expertise—valued by employers and respected in the academic and professional communities.

• Graduation Outcomes:

  • A compelling mix of advanced mathematical, statistical, and computing training; project-based learning; and a master’s-level dissertation prepares graduates to lead data-driven roles in sectors like finance, pharmaceuticals, telecoms, scientific research, and more.

Further Academic Progression:
After completing your MSci, you could seamlessly continue your studies—for example:

• Pursue a taught Master's such as an MSc in Data Analytics, offered by Warwick’s Computer Science department, designed for quantitatively minded graduates and building on your technical foundation.

• Alternatively, you could embark on a research-based Master’s or PhD, where the MSci's strong emphasis on independent research and your dissertation experience provide an excellent springboard.

• Many graduates also progress into specialized postgraduate programs in statistics, machine learning, computational biology, AI, or related fields—leveraging the interdisciplinary expertise gained during the MSci.