Artificial Intelligence and Computer Science (with Foundation Year) BSc (Hons)

3 Years On Campus Bachelors Program

Teesside University

Program Overview

If you’re fascinated by the idea of creating “smart” systems that can think, learn, and make decisions, this degree is perfect for you. The BSc (Hons) Artificial Intelligence and Computer Science at Teesside University gives you a solid foundation in computing while teaching you how to build AI solutions that really make an impact.

Curriculum Structure:
Foundation Year (Year 0): This year is all about getting you ready for degree-level study. You’ll explore core topics like “Computational Thinking and Mathematics” and tackle a “Development Project” to get hands-on experience in programming and problem-solving, while building your confidence in a supportive environment.

Year 1: Here, you’ll dive into the essentials of computer science. Modules such as “Algorithmic Problem Solving”, “Object-Oriented Programming”, and “Secure Computers and Networks” will give you the practical skills to code, design software, and understand how systems and networks function. You’ll also learn the fundamentals of databases and system design.

Year 2: This year is where AI really starts to shine. You’ll study “Artificial Intelligence” to learn how intelligent systems work, “Enterprise Project” to tackle real-world challenges, and “Web Apps and Services” plus advanced database modules. By now, you’re applying your knowledge to create solutions that could one day be used in industry.

Final Year (Year 3): In your final year, you’ll take on the big challenges. “Applied Machine Learning” will push your skills in neural networks and advanced AI, “AI Ethics” will make you think about the societal impact of technology, and your “Computing Project” will let you develop your own AI system from start to finish. This is your chance to showcase everything you’ve learned and graduate as a capable, forward-thinking AI professional.

Focus areas: Artificial Intelligence, Machine Learning, Intelligent Systems, Software Development, Data & Databases, Ethics in Technology.

Learning outcomes: By the end of this degree, you’ll be able to design and build intelligent systems, understand core computer science principles, evaluate ethical and social implications of AI, and confidently pursue careers in software, data, and AI development.

Professional alignment (accreditation): While this specific program doesn’t have a standalone accreditation, Teesside University’s computing courses are linked with professional bodies like the British Computer Society (BCS), giving your degree strong industry relevance.

Reputation (employability rankings): Teesside computing graduates enjoy excellent outcomes: 87 % are in work or further study within 15 months of finishing. The university is known for hands-on, industry-aligned teaching that employers value.

Experiential Learning (Research, Projects, Internships etc.)

At Teesside University, you won’t just be learning about AI and computer science from textbooks — you’ll be doing it for real. From your very first year, you’ll get hands-on experience in modern computing labs, using the same software and tools that professionals rely on in the industry. You’ll work on live projects, tackle real-world problems, and collaborate in teams, giving you practical skills that employers actually look for. The university’s dedicated facilities, including the state-of-the-art “Digital Life” building and fully equipped labs, make it easy to explore, experiment, and bring your ideas to life:

Work in specialist computing laboratories across buildings like Athena, Europa, Mercuria, Parkside, Phoenix, Stephenson, and Waterhouse, all set up with industry-standard software and hardware.
Access cloud-based lab environments through platforms like AWS and CirrusHQ, so you can work on projects from anywhere.
Participate in live industry briefs, hackathons, and competitions with real companies such as Cisco, Sage, TUI, HMRC, and Waterstons.
Complete project-based modules where you design, build, and test intelligent systems, applying your programming, AI, and data skills in meaningful ways.
Explore advanced technology in the “Digital Life” building, designed for AI, immersive tech, and cyber security innovation.
Benefit from a £7 million library with over 500 PCs, study spaces, and resources tailored for computing and AI students.

Progression & Future Opportunities

Graduates from this programme leave Teesside University ready to step straight into the tech world. Many go on to roles such as AI/ML Engineer, Software Developer, Data Analyst, or Systems Architect, applying the practical skills and industry knowledge they gained during their degree. With this solid foundation, you’ll be well‑placed to start a rewarding career or explore further specialisation:

Careers & Employability Service: Teesside’s dedicated team helps you polish your CV, prepare for interviews, and connect with employers through networking events, placements, and internships.
Employment stats & salaries: Around 87 % of computing graduates are in work or further study 15 months after graduating, with starting salaries around £25,000, rising to £28,000 within a few years.
University–industry partnerships: Teesside works with companies like Cisco, Sage, TUI, HMRC, Waterstons, and razorblue, providing live projects, guest lectures, and internship opportunities.
Long-term accreditation value: The programme aligns with professional computing standards and benefits from links with industry, helping your skills stay relevant and your CV stand out.
Graduate outcomes: About 65 % of computing graduates work in roles where their degree is directly useful, and 81 % are employed or in further study within 15 months of finishing.

Further Academic Progression:

If you want to keep learning, you could move on to a postgraduate degree such as an MSc in Artificial Intelligence, Data Science, or Computer Science, either at Teesside or elsewhere. This path lets you specialise, engage in research, and prepare for senior roles in tech, or even a career in academia.