Artificial Intelligence and Computer Science BSc (Hons)

4 Years On Campus Bachelors Program

University of Edinburgh

Program Overview

 

If you’re curious about how machines learn, think, and make decisions, this program is perfect for you. At the University of Edinburgh, you’ll dive into both computer science and artificial intelligence, gaining the skills to design intelligent systems while understanding the fundamentals of programming, data, and algorithms.


Curriculum Structure

Year 1:
You’ll start by building a strong foundation in programming, logic, and mathematics. Modules like Informatics 1 – Computation & Logic, Informatics 1 – Functional Programming, and Mathematics for Informatics 1 will introduce you to key concepts and help you develop problem-solving skills that will support your studies in the years ahead.

Year 2:
This year focuses on taking your skills to the next level. With courses such as Informatics 2A, Informatics 2B, and Mathematics for Informatics 3, you’ll explore algorithms, data structures, and discrete mathematics, while starting to apply your knowledge to more complex computing challenges.

Year 3:
Hands-on experience becomes central here. Through modules like System Design Project, Professional Issues, and Informatics Large Practical, you’ll work on real projects that simulate industry challenges, improving your coding, project management, and team-working abilities.

Year 4:
In your final year, you’ll focus on specialization and independent research. The Honours Project (Informatics), along with advanced AI electives, gives you the chance to explore areas like machine learning, robotics, or cognitive computing, preparing you for professional roles or further study.


Focus Areas: Machine learning, robotics, AI systems design, computational theory, software development.

Learning Outcomes: Develop a strong understanding of AI principles, algorithms, software engineering, and data analysis, ready to solve real-world computing challenges.

Professional Alignment: Accredited and aligned with industry standards, ensuring your degree meets employer expectations in technology and AI fields.

Reputation: The University of Edinburgh’s School of Informatics is world-renowned, consistently ranking among the top institutions for computer science and AI globally.

Experiential Learning (Research, Projects, Internships etc.)

 

At Edinburgh, studying Artificial Intelligence and Computer Science isn’t just about lectures and exams — it’s about getting your hands on real-world technology and learning by doing. You’ll have the chance to work with cutting-edge tools, collaborate on projects, and explore AI and computing in ways that mirror industry practice. From high-performance computing to smart labs and innovation hubs, the program is designed to give you both the knowledge and practical skills employers look for.

Here’s how you’ll get this hands-on experience:

  • Bayes Centre – A modern hub for AI and data science, where you can work on projects alongside leading researchers and industry partners.

  • Informatics Forum – The heart of computer science research at Edinburgh, giving you access to labs, workshops, and expert guidance.

  • EPCC (Edinburgh Parallel Computing Centre) – Home to the UK’s first national supercomputing centre, perfect for high-performance computing projects.

  • Laboratory for Foundations of Computer Science (LFCS) – Dive into programming languages, logic, and databases with opportunities to join research initiatives.

  • Software Lab & Quantum Computing Access – Explore next-generation technologies, including quantum computing experiments.

  • LinkedIn Learning & MyCareerHub – Online courses and career platforms to build skills and find internships or job opportunities in tech.

  • Edinburgh Award & Data Lab – Develop soft skills, participate in extracurricular projects, and gain industrial experience with placements.

  • Collaborative Projects – Throughout your degree, you’ll tackle group projects that simulate real-world tech challenges, boosting teamwork and problem-solving skills.

These experiences ensure you leave the program not only with a solid understanding of AI and computer science but also with practical, hands-on skills that make you ready for the tech industry.

Progression & Future Opportunities

 

Graduating from Edinburgh with a degree in Artificial Intelligence and Computer Science opens the door to a wide range of exciting careers. You’ll leave with the skills to design intelligent systems, develop innovative software, and make sense of complex data, ready for roles such as:

  • AI Specialist – creating smart systems for industries like healthcare, finance, or robotics.

  • Software Engineer – building applications and tools that solve real-world problems.

  • Data Scientist – turning large datasets into meaningful insights to guide decisions.

  • Systems Developer – developing and maintaining robust software infrastructure.

Your career journey is supported by the university every step of the way:

  • Career Support – The School of Informatics offers guidance on CVs, interviews, and job applications to help you land your first role.

  • Industry Partnerships – Work with top companies like DeepMind, Arm, and Dyson through internships and collaborative projects.

  • Accreditation – The degree is accredited by the British Computer Society (BCS), adding credibility and value to your qualifications.

  • Graduate Outcomes – Around 70% of graduates secure employment within six months of finishing their degree.

Further Academic Progression:

After completing your BSc, you can continue to expand your knowledge and expertise:

  • Master’s Programs – Specialize further with degrees like the MSc in Artificial Intelligence or MSc in Data Science at Edinburgh.

  • PhD Opportunities – Engage in cutting-edge research through the School of Informatics’ doctoral programs.

  • Interdisciplinary Paths – Explore areas like cognitive science, robotics, or AI ethics to tailor your career and research focus.

With this degree, you’re not just ready to start your career — you’re set up to grow, specialize, and innovate in the fast-moving world of technology.

Program Key Stats

£38,900
£9,535
£ 29
Sept Intake : 14th Jan


10 %
Yes

Eligibility Criteria

AAB - A*A*A*
-
34 - 43
80

NA
NA
6.5
92

Additional Information & Requirements

Career Options

  • AI Specialist
  • Software Engineer
  • Data Scientist
  • Systems Developer
  • Machine Learning Engineer
  • Robotics Engineer
  • Computer Vision Engineer
  • Natural Language Processing (NLP) Engineer
  • Data Analyst
  • Research Scientist
  • Cybersecurity Analyst
  • AI Consultant
  • Big Data Engineer
  • and AI Product Manager

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