3 Years On Campus Bachelors Program
If you’re fascinated by how intelligent systems learn, think, and make decisions, this degree is for you. The course blends solid computer science foundations with cutting-edge artificial intelligence, giving you the skills to design smart technologies that can shape the future — from self-driving cars to medical diagnostics.
Curriculum Structure
Year 1:
Your first year builds the groundwork for success. You’ll master the fundamentals of programming, databases, and web development while also exploring how AI works and what makes it so powerful. Modules such as Programming, Databases, Web Technologies, and Ethical and Legal Issues in AI introduce you to both the technical and human sides of computing.
Year 2:
Now you’ll go deeper into the world of AI and machine learning. Through hands-on projects and modules like Machine Learning and Data Mining and Algorithms and Data Structures, you’ll start turning theory into practice — building systems that can analyse data and make intelligent predictions. You’ll also explore how AI is applied in real industries through case studies and lab work.
Year 3:
Your final year is all about applying your skills to real-world problems. You’ll complete a major AI or software project, where you design, test, and present your own intelligent system. Optional modules let you specialise in areas such as Robotics, Computer Vision, or Natural Language Processing. By the time you graduate, you’ll have the confidence and experience to lead innovation in the tech industry.
Focus areas: Artificial intelligence, machine learning, data analytics, robotics, web and database technologies, software development, ethics and law in AI.
Learning outcomes: Build strong programming and problem-solving skills, apply AI and machine learning to real data challenges, understand the ethical responsibilities of AI developers, and graduate with practical experience in research or industry-based projects.
Professional alignment (accreditation): Accredited by the British Computer Society (BCS), meeting the standards for Chartered IT Professional (CITP) registration — a mark of quality recognised across the industry.
Reputation (employability rankings): The University of Bradford has an excellent reputation for applied learning and strong links with employers in AI, data science, and software development. Graduates are highly sought after for roles such as AI engineer, software developer, data analyst, or research scientist.
At Bradford, learning goes far beyond the classroom. This course gives you plenty of opportunities to put theory into action — from building real AI models to testing them in modern computing labs. You’ll use the same tools and technologies found in today’s tech industry, gaining practical experience that helps you stand out to future employers. Every project, lab session, and placement is designed to help you apply what you learn and grow into a confident, industry-ready professional.
Here’s how you’ll gain that real-world edge:
IoT Innovation Lab and Computer Suite: Work hands-on in cutting-edge labs equipped with industry-standard software and hardware to test, build, and deploy intelligent systems.
Collaboration with research centres: Get involved with the Digital Health Enterprise Zone and the Bradford-Renduchintala Centre for Space AI, tackling real problems in areas like health technology, robotics, and data science.
Industry-focused projects: Apply your skills through team-based projects built into your modules, solving practical computing and AI challenges that mimic what professionals face every day.
Optional placement year: Take your learning into the workplace with a paid year in industry, gaining invaluable experience, contacts, and insight into how AI is transforming global business.
Access to specialist software and tools: Experiment with advanced digital technologies, programming environments, and cloud-based AI platforms that prepare you for the fast-moving tech world.
Expert talks and industry engagement: Learn directly from guest speakers, innovators, and alumni working in the AI and computing sectors, keeping your knowledge fresh and relevant.
Graduating from this degree opens doors to some of the most exciting and fast-growing careers in technology. With a strong foundation in computer science and hands-on experience in artificial intelligence, you’ll be ready to take on roles such as AI developer, machine learning engineer, data scientist, or software analyst. Bradford graduates are known for being adaptable, practical, and industry-ready — exactly the kind of professionals employers are looking for in the AI era.
Here’s how the University of Bradford helps you get there:
Dedicated Career and Employability Service: From your first year, you’ll have access to tailored career coaching, CV and interview support, placement guidance, and exclusive networking events with top employers.
Strong graduate outcomes: According to Discover Uni, around 70% of Bradford computing graduates are in work or further study within 15 months of finishing their degree, earning a median salary of around £28,000.
Industry partnerships: You’ll benefit from close links with organisations such as the Digital Health Enterprise Zone and the Bradford-Renduchintala Centre for Space AI, where students can get involved in cutting-edge projects that apply AI to healthcare, sustainability, and space technologies.
Professional accreditation: This degree is accredited by the British Computer Society (BCS), which means it meets the high standards of the IT industry and enhances your global employability.
Career-ready graduates: By the time you finish, you’ll not only understand the theory behind AI — you’ll have real experience working on projects, using professional software tools, and solving the kind of challenges that employers care about.
Further Academic Progression:
If you’re passionate about advancing your expertise, you can continue your journey at Bradford with a Master’s in Applied Computer Science and Artificial Intelligence. This postgraduate pathway lets you explore specialist topics, collaborate on live research, and position yourself for leadership roles in the AI and tech industries.



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