Computer Science with Artificial Intelligence BSc (Hons) at Birmingham Newman University

Discover how computing and intelligent technologies combine to shape the future of digital society. The BSc (Hons) Computer Science with Artificial Intelligence at Birmingham Newman University is a full-time, three-year undergraduate degree designed for students who want to build strong computing foundations while specialising in artificial intelligence. Whether you are entering the field for the first time or building on existing experience, this course supports curious and creative learners who are ready to contribute to a digital world through ethical, inclusive and applied practice.

Department: Computer Science  |  Duration: 3 years full-time  |  Study mode: full-time  |  Intake: September 2026, September 2027  |  Location: Birmingham, England, United Kingdom

What you will study

You will explore core areas of computer science including programming, algorithms, databases and software engineering, alongside specialist topics such as machine learning, neural networks and robotics. Learning is delivered through lectures, practical workshops and collaborative projects, supported by expert staff and access to modern computing facilities. Modules – Year 1: Object Oriented Programming & Data Structures, Programming Fundamentals, Developing as a Computer Scientist, Fundamentals of Systems and Networking, Fundamentals of Web Design, Database Design & Development; Year 2: Cyber Security, Knowledge Representation and Reasoning, Machine Learning, Advanced Web Development, Applied Statistics & Pattern Recognition, Industry Project; Year 3: Project, Cloud Application Development, Internet of Things, Deep Learning, Natural Language Processing.

Career pathways

Graduates of this degree are well-prepared for roles in software development, artificial intelligence, data science or cyber security across public, private or voluntary sectors. You may choose to work in areas such as intelligent systems, automation, digital innovation or applied research.

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