Computer Science for Artificial Intelligence (with Integrated Foundation Year)

4 Years On Campus Bachelors Program

The University of Bradford

Program Overview

If you’re passionate about technology but want a supportive start before diving into complex coding and AI concepts, this course is perfect for you. The integrated foundation year helps you build confidence in maths, computing, and problem-solving before progressing into the full Computer Science and Artificial Intelligence degree — setting you up to thrive in a fast-growing, future-focused field.

Curriculum Structure

Foundation Year
Your journey begins with a foundation in maths, science, and computing. You’ll explore essential skills in programming logic, data handling, and professional development while learning how to think critically and creatively about technology. This year ensures you have the knowledge and confidence to succeed in university-level study.

Year 1
You’ll start your computer science degree with modules like Software Design and Development, Computer Architecture and Systems Software, and Introduction to Artificial Intelligence. This year gives you a strong grounding in coding, algorithms, and the core principles that power modern technology — from building websites to understanding how machines “learn.”

Year 2
Now you’ll dive deeper into intelligent systems and applied computing. Modules such as Machine Learning and Neural Networks and Data Science and Databases let you explore how AI is transforming industries. You’ll also strengthen your teamwork and problem-solving skills through group projects that simulate real workplace challenges.

Placement Year (optional)
Many students choose to spend a year gaining hands-on experience in industry. You could work with a tech company, research lab, or software startup — applying what you’ve learned in a professional environment and building a strong CV before graduation.

Final Year
This is where everything comes together. You’ll work on a major independent project, using AI to solve real-world problems. Modules like Advanced Artificial Intelligence, Ethics of AI, and Computational Modelling help you refine your technical expertise while understanding the wider impact of AI on society.

Focus Areas

Artificial Intelligence, Machine Learning, Data Science, Software Development, Intelligent Systems

Learning Outcomes

By the time you graduate, you’ll be able to design and build intelligent software systems, apply advanced AI and machine learning techniques, and understand the social, ethical, and professional responsibilities of computing professionals. You’ll leave ready for a career in a wide range of roles — from AI engineering to data analytics and software innovation.

Professional Alignment (Accreditation)

This degree is accredited by the British Computer Society (BCS) — meeting the academic requirements for registration as a Chartered IT Professional (CITP).

Reputation (Employability & Rankings)

Around 90% of Bradford computing graduates are in highly skilled employment or further study within 15 months of finishing their degree. The University of Bradford also ranks among the top 300 globally for Computer Science (Times Higher Education).

Experiential Learning (Research, Projects, Internships etc.)

At Bradford, learning computer science and artificial intelligence goes far beyond lectures. You’ll spend a lot of time putting ideas into action — designing, building, testing, and refining systems that reflect the same challenges faced by professionals in the tech industry. From your first year, you’ll gain hands-on experience using specialist software and facilities, developing teamwork, problem-solving, and creative thinking skills that employers value most.

Here’s what that looks like in practice:

Cutting-edge computing labs and IoT Innovation Lab: Get practical experience working with the latest AI, robotics, and Internet of Things technologies in modern computing suites designed to support real-world development and experimentation.
Team-based software projects: Through modules such as Enterprise-Pro, you’ll collaborate with classmates to design and deliver full software solutions — just like you would in a professional tech team.
Industry-standard tools and platforms: You’ll learn to code, debug, and manage projects using the same digital tools and simulation environments used across the computing industry.
Optional paid placement year: Gain valuable professional experience by working in industry, applying your AI and computing knowledge in real job settings before graduation.
Links with leading research centres: You’ll have the chance to engage with innovation hubs like the Digital Health Enterprise Zone and the Renduchintala Centre for Space AI, where cutting-edge research meets practical technology solutions.
Supportive study environment: The university’s modern library, online learning systems, and dedicated computer resources give you the flexibility to study, explore, and develop ideas beyond the classroom.

Progression & Future Opportunities

Graduating from this programme opens the door to an exciting range of careers where your skills are in high demand. Many of our students move straight into roles like AI Developer, Data Scientist, Machine Learning Engineer, or AI & Cybersecurity Specialist. Because the degree gives you a strong foundation in both computer science and AI, you’ll be confident and well-prepared to make an impact in the tech world:

Career and Employability Support: The University’s dedicated services help you find placements, internships, and graduate roles, and offer one-to-one guidance on CVs, interviews, and career planning.
Strong graduate outcomes: Around 94% of graduates from computing-related courses are in employment or further study within 15 months, with 80% in highly skilled roles.
Industry partnerships: Collaborations with institutions like The Alan Turing Institute give you exposure to cutting-edge AI research and opportunities to work on real-world projects.
Long-term professional recognition: The BCS accreditation ensures your degree meets the requirements for Chartered IT Professional (CITP) status — a strong advantage for your career.
Real-world success stories: Many alumni quickly secure “highly skilled” positions in tech companies, research labs, and innovative startups, thanks to the practical and industry-focused nature of the course.

Further Academic Progression:
If you want to keep learning, this degree is a great springboard for postgraduate study. Many students go on to MSc programmes in Artificial Intelligence, Machine Learning, or Applied Computer Science at Bradford, deepening their expertise and opening doors to research, leadership roles, or specialised technical careers.