Computer Science (Artificial Intelligence) with a Year in Industry MSci

5 Years On Campus Bachelors Program

Royal Holloway University of London

Program Overview

The MSci in Computer Science (Artificial Intelligence) with a Year in Industry at Royal Holloway is designed for students who want to dive deep into AI while gaining real-world experience. You’ll build a strong foundation in computer science, explore cutting-edge AI technologies, and get hands-on industry exposure to prepare for an exciting tech career.

Curriculum Structure:

Year 1:
Your first year lays the groundwork, introducing key computer science concepts and essential programming skills through modules like Object-Oriented Programming I and Mathematical Methods for Computer Science. You’ll get comfortable with coding, problem-solving, and the math behind computing—everything you need to tackle more advanced topics later.

Year 2:
In the second year, you start applying your knowledge to more complex systems and AI concepts. Modules such as Software Design, Computer Systems, and Artificial Intelligence introduce intelligent agents and problem-solving techniques, while hands-on projects help you connect theory with practice.

Year 3 (Year in Industry):
This is your chance to step into the professional world. During your industrial placement, you’ll work on real AI projects, gaining practical experience that not only enhances your skills but also makes you highly employable after graduation.

Year 4:
Back at university, you’ll focus on advanced AI topics like Machine Learning, Deep Learning, and Methods of Computational Finance. You’ll develop deeper expertise in designing intelligent systems and learn how AI can be applied in finance, robotics, and other exciting areas.

Year 5:
Your final year is all about specialization and research. The extended final-year project allows you to explore an AI topic you’re passionate about, while modules like Intelligent Agents and Computational Finance push your knowledge to the next level and prepare you for a career in AI or further postgraduate study.

Focus Areas:
Artificial Intelligence, Machine Learning, Intelligent Systems, Computational Finance, Robotics, Data Science

Learning Outcomes:
By the end of the program, you’ll be confident in solving complex problems, coding AI solutions, designing intelligent systems, conducting research, and communicating technical ideas clearly.

Professional Alignment:
The program is accredited by the British Computer Society (BCS), giving you a strong professional edge in the computing industry.

Reputation:
Royal Holloway has a great reputation for employability, with graduates going on to work at top tech companies like Amazon, Microsoft, and Goldman Sachs. The combination of research-led teaching and industry experience sets you up for a successful career in AI.

Experiential Learning (Research, Projects, Internships etc.)

At Royal Holloway, learning goes far beyond lectures. Students in this program gain hands-on experience through real-world projects, cutting-edge AI research, and a full year working in industry. From coding intelligent systems to experimenting with neural networks, you’ll develop practical skills using professional-standard software and tools while collaborating with peers on innovative projects. The university provides access to specialist labs, advanced computing facilities, and the internationally recognized Computer Learning Research Centre, giving you the perfect environment to turn theory into practice.

This practical approach is complemented by:

Industrial Placement: A full year in industry where you apply AI and computing knowledge to real-world challenges.
Specialist Labs: Access to state-of-the-art computer science and AI laboratories equipped for machine learning, neural networks, and computational finance research.
Research Opportunities: Work alongside leading researchers at the Computer Learning Research Centre on cutting-edge AI projects.
Software & Tools: Hands-on experience with professional programming languages, AI toolkits, and machine learning frameworks.
Group Projects: Collaborative coursework simulating real-world software development and AI problem-solving scenarios.
Extended Final-Year Project: An in-depth AI research project where you showcase your skills and creativity.
Library & Digital Resources: Comprehensive access to computing and AI journals, databases, and digital tools to support learning.
Guest Lectures & Industry Seminars: Insights from professionals and researchers in AI, robotics, and finance.

Progression & Future Opportunities

Graduates of the MSci in Computer Science (Artificial Intelligence) with a Year in Industry at Royal Holloway leave with a strong mix of technical skills and real-world experience, ready to launch careers in AI and tech. Many alumni go on to roles like AI Research Scientist, Machine Learning Engineer, Data Scientist, or Software Developer, applying their knowledge to solve complex problems and innovate in industry. Your year in industry and hands-on projects mean you’re not just learning theory—you’re preparing to hit the ground running in a competitive job market.

Here’s how Royal Holloway supports your career journey:

Career & Employability Service: Offers tailored guidance, CV workshops, interview prep, and access to exclusive job opportunities.
Industrial Advisory Board & Partnerships: Collaborates with companies such as PwC, Accenture, Gartner, BT, and Fujitsu to ensure what you learn aligns with real-world needs.
Year in Industry: A full-year placement gives you professional experience, helping you build a network and practical skills before you graduate.
Alumni Network: Connects you with graduates thriving in top tech roles, offering mentorship and insight into the industry.
Graduate Outcomes: While exact stats vary, students leave well-prepared for competitive roles in AI, machine learning, and software development.

Further Academic Progression:

After completing your MSci, you can continue to deepen your expertise through postgraduate study. Options include:

MSc in Artificial Intelligence: Explore advanced AI technologies and research.
MSc in Machine Learning: Focus on sophisticated machine learning techniques and real-world applications.
MSc in Computational Finance: Combine computing skills with finance to tackle complex quantitative problems.
PhD in Computer Science: Engage in original research, opening doors to academic or high-level industry careers.

These pathways allow you to specialise further and continue building on the skills you developed during your degree, whether in research or applied AI careers.