Computer Science (Artificial Intelligence) BSc

3 Years On Campus Bachelors Program

University of Leeds

Program Overview

 

The BSc Computer Science (Artificial Intelligence) at the University of Leeds gives you a strong grounding in computer science while letting you dive deep into the exciting world of AI. It’s perfect for students curious about machine learning, neural networks, and data-driven problem-solving, preparing you for careers in AI, software development, and data science.


Curriculum Structure

Year 1: Building the Foundations

In your first year, you’ll get a solid understanding of the fundamentals of computer science. You’ll learn Algorithms and Complexity to understand how programs solve problems efficiently, Programming Fundamentals to master coding and software development, and Mathematical and Statistical Foundations that are crucial for AI. This year sets you up with the essential problem-solving and technical skills you’ll build on later.

Year 2: Exploring AI in Depth

The second year is all about applying your knowledge to AI. You’ll study Machine Learning to create systems that can learn from data, Data Management to handle large datasets effectively, and Human-Computer Interaction to design technology that works well for people. This year is where theory meets practical application, giving you hands-on experience with real AI tools and techniques.

Year 3: Advanced AI and Research

In your final year, you’ll tackle advanced topics and work on your own research project. You’ll explore Deep Learning, diving into complex neural networks, Text Analytics, applying AI to understand and process natural language, and Automated Reasoning, learning how machines can make smart decisions independently. The research project lets you bring everything together and solve real-world AI challenges.


Focus Areas

Machine Learning, Deep Learning, Data Processing, Natural Language Processing, Automated Reasoning


Learning Outcomes

You’ll graduate ready to design AI systems, analyze complex datasets, and apply ethical considerations in technology, equipping you for a rapidly growing tech industry.


Professional Alignment

The program follows the ACM/IEEE/AAAI Computer Science Curriculum and the Computing QAA Subject benchmark, ensuring your degree meets industry standards and prepares you for professional roles.


Reputation

The University of Leeds is highly regarded for research excellence and graduate employability, with alumni in high demand across AI, software engineering, and data science sectors.

Experiential Learning (Research, Projects, Internships etc.)

 

At Leeds, we believe the best way to learn is by doing. This program doesn’t just teach AI in theory — it gives you hands-on experience that will prepare you for real-world challenges. From high-tech labs to industry placements, you’ll get plenty of opportunities to put your skills into practice, work with cutting-edge tools, and collaborate on exciting projects with fellow students.

Here’s how you’ll gain practical experience:

  • High-Performance Computing Labs: Work in custom-built labs with powerful Linux machines to develop and test AI models in a realistic environment.

  • Collaborative Study Spaces: Take advantage of modern study areas in the Sir William Henry Bragg Building to collaborate with peers or focus on individual projects.

  • Industry Internships: Boost your career prospects with placements at top companies like Apple, Microsoft, and Amazon.

  • Study Abroad Programs: Expand your horizons by spending time at partner universities around the world.

  • CompSoc Student Society: Join hackathons, networking events, and community projects to connect with like-minded students and industry professionals.

  • Research Opportunities: Get involved in cutting-edge research, including projects exploring biological neural networks and other AI innovations.

  • Dedicated AI Facilities: Use specialized AI labs and resources within the School of Computer Science for both study and research.

  • Access to Robotics Research: Collaborate on projects that develop innovative robotic technologies addressing real-world problems.

With these experiences, you won’t just learn AI — you’ll live it, giving you a real advantage when you enter the tech industry.

Progression & Future Opportunities

 

Graduates from the BSc Computer Science (Artificial Intelligence) at the University of Leeds leave well-prepared for exciting careers in the tech industry. With strong skills in AI, machine learning, and software development, alumni often step into roles such as:

  • AI Software Engineer

  • Data Scientist

  • Machine Learning Engineer

  • AI Researcher

These careers are in high demand across sectors like technology, finance, healthcare, and more. Leeds ensures you’re ready to hit the ground running through a combination of career support, practical experience, and industry connections:

  • Careers Centre: Personalized guidance on CVs, interviews, and career planning to help you land your first role.

  • Industrial Placements: Opportunities to gain real-world experience with top companies such as Apple, Microsoft, and Amazon.

  • Study Abroad Programs: Expand your horizons and develop global skills by studying at partner universities worldwide.

  • Graduate Outcomes: 94% of Leeds graduates are employed or in further study within 15 months, with a typical starting salary around £34,500 and growth up to £50,500.

  • Professional Accreditation: The program is accredited by the British Computer Society (BCS), giving your degree recognized value in the tech industry.

Further Academic Progression:
After completing the BSc, you could continue your studies with:

  • MSc in Artificial Intelligence – dive deeper into AI technologies and research.

  • MSc in Data Science – specialize in data analytics and machine learning techniques.

  • MSc in Computer Science – broaden your knowledge across all areas of computer science.

These postgraduate options open doors to leadership roles and specialized positions, giving you a competitive edge in the fast-growing tech world.

Program Key Stats

£32,750
£9,535
£ 29
Sept Intake : 14th Jan


Eligibility Criteria

AAA
3.0
36
60 - 85

NA
NA
6.0
80

Additional Information & Requirements

Career Options

  • AI Software Engineer
  • Data Scientist
  • Machine Learning Engineer
  • AI Researcher
  • Robotics Engineer
  • Business Intelligence Analyst
  • Software Developer
  • Natural Language Processing (NLP) Engineer
  • Computer Vision Specialist
  • Data Analyst
  • AI Consultant
  • Systems Architect
  • Research Scientist in AI
  • Cloud AI Engineer
  • Autonomous Systems Developer

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