3 Years On Campus Bachelors Program
If you’re fascinated by how intelligent machines learn, think, and make decisions, this degree is perfect for you. At Teesside University, the BSc (Hons) in Artificial Intelligence and Computer Science combines the core foundations of computing with exciting AI technologies, giving you the skills to create the smart systems of the future.
Curriculum Structure
Year 1
Your first year is all about building a solid base. You’ll dive into Algorithmic Problem Solving, learning how to break down complex problems and craft efficient solutions. Object-Oriented Programming will teach you to design and write functional software, while modules like Secure Computers and Networks and Systems Design and Databases give you the technical skills to understand and manage real-world computing systems.
Year 2
In your second year, you start exploring more advanced topics. The Artificial Intelligence module introduces you to intelligent systems and AI problem-solving techniques. In Web Apps and Services you’ll create dynamic applications, and Relational and NoSQL Databases deepen your data-handling expertise. The Enterprise Project lets you apply your skills to a practical, real-world challenge, preparing you for industry or research projects.
Final Year
Your final year is where you put it all together. In Applied Machine Learning, you’ll get hands-on with neural networks and deep learning. AI Ethics encourages you to think critically about the societal impact of AI, and your major Computing Project gives you the opportunity to plan, research, and deliver a substantial project that showcases everything you’ve learned. This year is about mastering your skills and preparing for a successful career.
Focus areas: artificial intelligence, machine learning, intelligent systems, algorithmic design, secure computing, data-intensive applications.
Learning outcomes: Graduates will be able to design and implement AI solutions, build complex software and databases, apply machine learning to real-world challenges, critically evaluate ethical issues, and manage major computing projects both individually and in teams.
Professional alignment (accreditation): Students receive free academic membership to the British Computer Society (BCS), giving you a head start on professional recognition in computing.
Reputation (employability rankings): Around 81% of graduates are working or studying within 15 months after finishing the degree, showing strong industry relevance and career readiness.
At Teesside, learning goes far beyond lectures — you’ll get hands-on experience using real industry tools, tackling live projects, and exploring AI and computing in fully equipped labs. From your very first year, you’ll be designing software, testing networks, and experimenting with intelligent systems in state-of-the-art facilities, preparing you for the challenges of a professional computing career. The campus is also expanding its Digital Life building, featuring AI and robotics suites, VR/AR labs, and cyber-security studios, so you’ll be learning in environments that reflect what’s happening in industry right now.
Here’s how your practical learning will be supported:
Work in purpose-built computing labs with specialist equipment for programming, networks, AI, and intelligent systems.
Access cloud-based labs powered by AWS and Cirrus HQ, so you can work remotely or on campus with high-performance software.
Gain experience in the soon-to-open Digital Life building, featuring AI and robotics suites, VR/AR labs, and immersive classroom experiences.
Collaborate on live industry briefs, hackathons, and projects with real businesses, giving you exposure to professional challenges.
Make use of the University’s modern library and digital learning resources, with over 500 PCs and a wealth of digital and print materials for independent or group study.
Graduating from this degree means you’ll be ready for an exciting tech career where your skills are in high demand. Typical roles include AI Engineer, Software Developer or Systems Architect, Data Scientist or Machine Learning Specialist, and IT Consultant. With both strong computing foundations and modern AI expertise, you’ll have the flexibility to work across a wide range of technology-driven industries:
Careers & Employability Support: Teesside’s dedicated service offers one-to-one guidance, CV and interview coaching, and employer events to help you land graduate roles.
Employment Stats & Salary: Around 81 % of computing graduates were working or studying just 15 months after finishing, with median starting salaries around £25,000.
University–Industry Partnerships: You’ll work on live project briefs and collaborate with real businesses, giving you practical experience that employers value.
Accreditation & Professional Value: Membership opportunities with professional bodies like the British Computer Society help strengthen your profile and open doors in the industry.
Graduation Outcomes: From AI and machine learning to systems design and secure computing, you’ll graduate with hands-on skills, completed projects, and real-world experience — making you highly employable.
Further Academic Progression:
After completing this degree, you could continue your studies with a master’s in Artificial Intelligence, Data Science, Cyber Security, or related computing fields. Many students also choose professional certifications or postgraduate research opportunities to deepen expertise and specialise in emerging technologies.



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