Study Computer Science with Artificial Intelligence BSc (Hons)

Course Highlights

Step into the future with our BSc Computer Science with Artificial Intelligence degree – your path to mastering the digital world. This exciting course blends theory with hands-on learning, giving you the technical expertise and creative problem-solving skills that today's tech industries crave.

You'll dive into the core of computer science, from software development and data management to system communication and data processing. Our interactive, project-based curriculum mirrors real-world challenges, allowing you to collaborate in diverse teams and tackle issues like a pro.

Explore everything from coding and networking to AI, and mobile app development. You'll gain the skills to not only understand today's technologies but also to drive tomorrow's innovations. With this degree, you'll be ready to create ground-breaking solutions and shape the future of tech during a career within AI development, data science, robotics and software engineering, where computer science and AI fuel the next wave of innovation.

Course Modules

Learning Structure

This course, including the Foundation Year, is delivered in three terms of ten weeks each. In each term, you will study 40 credits usually comprised of either one or two modules, covering a breadth of topics and subject skills.

In Years 1-3 (Levels 4-6), the average number of scheduled contact hours per week typically ranges from five to ten hours. This will vary depending on the module, year of study, number of practical sessions and the complexity of the material being taught. If studied, the Foundation Year will have 12 hours of contact time per week; there may be variations to this depending on the subject matter and any practical sessions.

This course is delivered primarily through in-person learning, supported by online learning materials. You can expect to take part in labs, workshops, lectures and tutorials. Teaching will be delivered by experienced academics and practitioners in the subject. This will be supplemented by occasional guest lecturers and speakers.

On this course, you should expect to spend an average of 30 to 34 hours per week on independent study, which might include following asynchronous learning material on the University’s VLE, using the University's library, working with peers and preparing work for assessment.

There will be a broad range of assessment methods so that you are exposed to the different types of tasks you might encounter in the workplace. These will include coursework in the form of programming projects, software artefacts, portfolios of work, written work (e.g., essays) and presentations. In some modules, you will encounter class tests and practical assessments. We continuously review the assessment methods used to ensure they adequately prepare you for graduate-level employment.

All teaching is delivered by experienced academics and practitioners, with the fundamental principles of the Chester Future Skills Curriculum at its core - building your subject competence, confidence and key transferable skills to shape you into a world-ready Chester graduate.

Entry Requirements

• Higher Secondary with 75% marks, or Grade A, or GPA 4.5 (or above).
• An equivalent to UK A Level qualification.

English Language Requirements

IELTS Academic

Overall 6.0

With minimum 5.5 in each components

TOEFL iBT

Overall 79

Minimum in Listening: 17, Reading: 18, Speaking: 20, Writing: 17

PTE (Pearson Test of English) Academic

Overall 61

With minimum 59 in each components

LanguageCert Academic

Overall 65

With minimum 60 in each bands

OIETC (Oxford International English Test Centre)

Overall B2+

With minimum B2 in each bands