Computer Science (with Industrial Placement) Bachelor of Science (with Honours) - BSc (Hons)

Our Computer Science degree course offers a solid foundation in core computer science principles, programming, and software development, with opportunities to specialise in machine learning,  AI and data analytics. This course will allow you to develop vital ethical, professional, and communication skills to excel in a rewarding IT career.

You will:

* Gain hands-on experience through lab work and coding assignments

* Utilise cutting-edge industry tools and software

* Study in state-of-the-art facilities, including our Cyber Innovation Academy

* Learn from experienced professionals and experts in the field

* Engage in active learning sessions, industry talks, workshops, and practical exercises

* Have the opportunity to qualify for CISCO accreditation upon course completion

* This course is ranked 1st out of Welsh Universities for Overall Satisfaction and Learning Opportunities\* 

\*This *course is part of a subject area ranked 1st in the UK for Teaching on my Course and Academic Support (National Student Survey, 2026).* 

*\*This course is part of a subject area ranked 1st out of Welsh Universities and Top 3 in Wales, Scotland and Northen Ireland for Overall Satisfaction, as well as 1st out of Welsh Universities and Top 3 in the UK for Learning Opportunities (National Student Survey, 2026).*

This degree has been a*ccredited by BCS, The Chartered Institute for IT. Accreditation is a mark of assurance that the degree meets the standards set by BCS. An accredited degree entitles you to professional membership of BCS, which is an important part of the criteria for achieving Chartered IT Professional (CITP) status through the Institute. Some employers recruit preferentially from accredited degrees, and an accredited degree is likely to be recognised by other countries that are signatories to international accords.*

Key Course Features:

* The curriculum encompasses programming fundamentals, algorithms, data structures, and agile methodologies, with a focus on problem-solving, teamwork, and ethical considerations, preparing you for sustainable and innovative practices in digital technology.

* Gain practical, hands-on experience in advanced fields such as Machine Learning, Artificial Intelligence (AI), and Data Analytics.

* The course integrates core project modules simulating cross-disciplinary industry practices with subject specific modules, offering theoretical and practical expertise.

* Opportunities to participate in industry focused, real-world proof of concept projects, enabling to apply theoretical knowledge to practical challenges while developing strong problem solving skills and professional confidence. These experiences prepare you to respond effectively to the evolving demands of industry.

* Gain valuable real world experience with the industrial placement year. Apply your skills in a professional setting, build industry relevant expertise, and graduate with enhanced employability and stronger career prospects.

* This course follows the Active Learning Framework (ALF), creating a supportive and inclusive environment where diverse, student centred teaching methods promote active participation, collaboration, and independent learning, helping all students reach their full potential.