BSc and MEng Computer Science (Artificial Intelligence)

4 Years On Campus Bachelors Program

University of Leeds

Program Overview

Leeds’ BSc Computer Science with Artificial Intelligence (AI) (3-year), with an optional integrated Master’s, blends rigorous core computing—programming, systems, algorithms—with a strong focus on AI techniques, ethics, and applications. It’s ideal if you're passionate about fields like machine learning, robotics, or intelligent systems and want a richly technical degree grounded in real-world relevance 


Curriculum Structure

Year 1

Students build foundational skills in programming, mathematics, and AI principles through lectures, labs, and collaborative projects.
Core modules include:

  • Programming for Computer Science

  • Computer Architecture

  • Fundamental Mathematical Concepts

  • Artificial Intelligence (introductory concepts)

  • Databases

  • Software Engineering

Year 2

Focus shifts to advanced AI, algorithms, and system design, with coursework and exams reinforcing technical and teamwork skills.
Core modules include:

  • Data Structures & Algorithms

  • Machine Learning (core techniques)

  • Natural Language Processing

  • Operating Systems

  • User Interfaces

  • Team Software Project

Year 3 (BSc Final Year)

Students deepen AI expertise and undertake an individual project (30 credits) alongside advanced electives.
Core modules:

  • Final Year Project (AI-focused research/implementation)

  • Knowledge Representation & Reasoning

  • Advanced Machine Learning

Optional modules:

  • Computer Vision

  • Bio-Inspired Computing

  • Cloud Computing

  • Security & Threat Mitigation

Year 3/4 (Optional Industry Placement)

  • 120-credit paid placement year in industry, applying AI/CS skills in a professional setting.


Assessment Format

  • Diverse formats: Practical assessments, coding labs, reports, team projects, presentations.

  • Balanced feedback: Summative (graded) and formative (non-graded) tasks with tailored feedback.

  • Industry-linked assessments: Aligned with modern tech challenges and workplace practices.


Focus Areas

  • Procedural & Object-Oriented Programming

  • Algorithms, Systems & Architecture

  • Artificial Intelligence & Computational Theory

  • Software Engineering (solo & team-based)

  • Databases, Interfaces & Graphics

  • Distributed & Cyber-Physical Systems

  • Final-Year Individual Research Project


Learning Outcomes

Graduates will be able to:

  • Design and analyse efficient algorithms

  • Build and deploy complete software solutions

  • Understand and apply system/network architecture

  • Utilise AI, graphics, and theoretical principles

  • Collaborate on complex projects

  • Lead independent research in computing


Accreditation & Professional Alignment

  • BCS-accredited: Meets the academic requirements for Chartered IT Professional (CITP) status.

  • Real-world project modules and high-level coursework prepare students for graduate-level employment.


Reputation & Employability Rankings

  • Global Ranking: 82nd globally for Computer Science (QS World Rankings 2025)

  • Placement Partners: Apple, Amazon, Microsoft, and others via optional industrial year

Experiential Learning (Research, Projects, Internships etc.)

The BSc Computer Science programme at Leeds delivers a hands-on, career-focused education enhanced by modern infrastructure, weekly practical sessions, final-year research integration, and strong global employability support.


Facilities & Learning Environment

  • Sir William Henry Bragg Building: Home to two state-of-the-art Linux teaching labs, plus collaborative and quiet learning spaces designed for seamless project-based work.

  • Research-grade equipment: Access high-end tools like a 53-megapixel powerwall display, 3D VR suite, cloud testbed, and high-performance Linux workstations with areas for iPad, Mac, and Android development.

  • Remote access: Virtualization and UNIX/Linux server clusters support off-campus work which is ideal for AI, cloud computing, or advanced development projects.


Experiential Learning Highlights

  • Weekly lab sessions: Each module features guided, hands-on labs covering core technologies like Java, Python, C/C++, Linux, Git, cybersecurity, databases, and systems engineering.

  • Group projects (Years 1–2): Collaborate on real-world team coding tasks using industry-standard agile methods and development tools.

  • Final-year project: Undertake a self-led, research-informed project using advanced lab resources in exploring topics such as AI, VR, cybersecurity, or large-scale cloud systems.


Placement, Internships & Study Abroad

  • Optional Industrial Placement Year:

    • Gain industry experience between Years 2 and 3.

    • Leeds partners with 100+ global companies like Apple, Amazon, Microsoft, PwC, GSK, HP, Nestlé, STFC.

    • Full support: Placement Officer, portfolio building, employer mentorship, and academic supervision.

  • Short-term internships:

    • Available during summer or term through Leeds Careers Centre and the Work Experience Hub.

    • Past opportunities include Goldman Sachs, Airbus, Warner Bros, and startups.

  • Year Abroad Option:

    • Study in Year 3 at top universities in the USA, Canada, Europe, Australasia, Asia, South Africa and Latin America.

    • Leads to an ‘international’ degree pathway.


Career Development & Industry Connections

  • Research-led teaching: Lectures and projects align with cutting-edge research in AI, computational health, graphics, distributed systems, and security.

  • Top employer reach: Leeds is among the top 5 UK universities most targeted by employers.

  • Career support: From day one, access workshops on CVs, interview prep, job applications, and summer opportunities via the Faculty Employability Team and “Leeds for Life” platform.

  • Employer partnerships: Strong industry links with Google, IBM, Accenture, HP, Microsoft, Barclays, Amazon, BAE Systems, and more through fairs, guest lectures, and collaborative projects.


Student Life & Community

  • Join CompSoc: Engage in tech events, hackathons, outreach, networking, and social activities boosting teamwork, creativity, and your professional profile.

Progression & Future Opportunities

Leeds BSc Computer Science graduates launch into high-impact careers. Approximately 75% of University of Leeds BSc Computer Science graduates are in employment or further study within 15 months, with 80% in highly skilled roles.

This degree prepares you for roles such as:

  • Developer

  • Software Engineer 

  • Machine Learning Specialist

  • Data Scientist 

  • IT Consultant 

  • Systems Analyst

  • Cybersecurity Engineer


University Services That Support Employment

  • Award-winning Employability & Careers Team, offering:

    • One-to-one career guidance

    • CV and interview workshops

    • Specialist careers events, including industry-focused fairs

  • The MyCareer portal provides ongoing access to jobs, internships, and placement opportunities

  • The Leeds for Life initiative helps you track your achievements and build a standout CV from your first year


Employment Stats & Salary Figures

  • 75% in employment or further study within 15 months

  • Salaries:

    • ~£32,500 at 15 months

    • ~£40,500 at 3 years

    • ~£49,000 at 5 years


University–Industry Partnerships

  • Top 5 most targeted UK university by major employers, including IBM, HP, Apple, Microsoft, and Accenture

  • Optional industrial placement year with over 100 partner organisations, typically paid

  • Strong networks and placements with:

    • Apple

    • Amazon

    • GlaxoSmithKline

    • HP

    • PwC

    • STFC


Accreditation & Long-Term Value

  • BSc accredited by the British Computer Society (BCS)

    • Reaccreditation in progress for Chartered IT Professional (CITP) and Chartered Engineer (CEng) status

  • Backed by Leeds’ Russell Group membership and a globally renowned research culture in AI, distributed systems, and advanced computing


Graduation Outcomes

  • Recognised as a Top 10 most targeted UK university by major graduate employers (High Fliers Research)


Further Academic Progression

After completing your BSc, you can:

  • Transfer into the 4-year Integrated MEng

  • Pursue an MSc specialism in areas like:

    • Artificial Intelligence

    • Data Science

    • Cyber Security

    • Software Engineering

  • Embark on an MSc by Research or a PhD, supported by Leeds’ strengths in:

    • Algorithms

    • Biomedicine computing

    • Distributed systems

  • Use your BCS-accredited degree and professional experience to apply for CITP or CEng status

  • Enter professional conversion routes, such as fintech, consultancy, or teaching, supported by lifelong career services

Program Key Stats

£32,250
Sept Intake : 29th Jan


Eligibility Criteria

AAA
3.7
18
85

1150
6.0
80

Additional Information & Requirements

Career Options

  • AI specialist
  • Computer systems analysts
  • Computer system engineers
  • Database administrators
  • Network systems administration
  • Research and development
  • Software designer
  • Software QA

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