Computer Science - Artificial Intelligence BSc (Hons)

3 Years On Campus Bachelors Program

Nottingham Trent University

Program Overview

The BSc (Hons) Computer Science (Artificial Intelligence) at NTU is perfect for students excited about AI and how it’s shaping the future. You’ll gain hands-on experience with machine learning, natural language processing, and intelligent systems, giving you the skills to create innovative tech solutions in real-world settings.

Curriculum Structure

Year 1: Building Your Foundations

In your first year, you’ll get a solid grounding in the basics of computing and AI. Modules like Programming Fundamentals and Mathematics for Computing will sharpen your coding and problem-solving skills, while Introduction to Artificial Intelligence introduces you to the core concepts that will underpin your studies.

Year 2: Diving Deeper into AI

Year two takes your skills to the next level. You’ll explore Machine Learning Algorithms and Natural Language Processing, learning to design intelligent systems. The Professional Practice module also prepares you for real-world challenges, covering ethics, teamwork, and industry standards.

Year 3: Specialisation and Real-World Experience

In your final year, you can take a work placement to apply your skills in a professional setting. You’ll focus on modules like Advanced AI Systems and a Research Project, allowing you to specialise in your areas of interest and complete a final dissertation that demonstrates your expertise.

Focus Areas

Machine Learning, Natural Language Processing, Cognitive Computing, AI Ethics, Intelligent Systems Design

Learning Outcomes

You’ll leave with the ability to develop AI-driven applications, tackle complex problems with advanced computational techniques, and make ethical, informed decisions in technology development.

Professional Alignment

This program is accredited by BCS – The Chartered Institute for IT, giving you a pathway to CITP and partial CEng registration, and positioning you well for professional IT membership.

Reputation

NTU is recognised for excellence in research and teaching, with 80% of its Computer Science and Informatics work rated world-leading or internationally excellent in the 2021 Research Excellence Framework (REF).

Experiential Learning (Research, Projects, Internships etc.)

At NTU, studying Computer Science with a focus on Artificial Intelligence isn’t just about theory — you’ll get plenty of hands-on experience to build real-world skills. From coding in modern programming environments to working on AI projects and simulations, the program ensures you leave with practical expertise. You’ll also have the chance to collaborate on group projects, explore cutting-edge tools, and gain industry insights through internships and partnerships.

Here’s how you’ll experience learning in action:

Specialist Labs: Ten teaching labs with over 350 workstations running Windows and Linux, perfect for coding, AI experiments, and research.
High-Performance Computing Suite: Access advanced computational power for AI modeling and simulations.
Games Development Lab: Design and test AI-driven games, exploring interactive AI systems.
Robotics Lab: Apply AI to real robotic systems, from design to control.
Microsoft Certified: Azure AI Fundamentals: Participate in a blended learning course combining instructor-led sessions and online Microsoft Learn resources.
Industry Collaboration: Work with leading companies on projects, gaining experience and building your professional network.
Internships: Optional placements to get hands-on experience and boost your employability.
Smart Sensing Lab: Explore AI applications in wearable tech, mobile development, edge computing, and affective computing.
Computer Science Innovation Hub: Collaborate on tech projects and gain guidance from experts in a dynamic innovation space.
Collaborative Spaces: Dedicated project rooms and teamwork spaces to foster group work and peer learning.

Progression & Future Opportunities

Graduating from NTU with a BSc (Hons) in Computer Science (Artificial Intelligence) opens the door to a wide range of exciting tech careers. With strong skills in AI, machine learning, and software development, you could step into roles such as:

AI Software Engineer
Data Scientist
Machine Learning Engineer
AI Researcher

These positions are in high demand across industries like technology, finance, healthcare, and research, giving you real flexibility and choice in your career path.

Here’s how NTU helps you turn your degree into a successful career:

Employability Support: NTU’s dedicated careers team offers guidance for up to three years after graduation, including online resources and one-on-one career advice.
Industry-Recognised Certification: Microsoft Certified courses integrated into the program help you gain credentials that employers value.
Strong Industry Partnerships: Work on collaborative projects and placements with leading companies, gaining real-world experience before you graduate.
Graduate Success: Many students secure jobs or further study opportunities within months of completing the program.
Accreditation Advantage: BCS – The Chartered Institute for IT accreditation gives you a route to Chartered IT Professional (CITP) status, boosting your long-term career prospects globally.

Further Academic Progression:

After completing your BSc, you’ll have plenty of options if you want to continue your studies:

MSc in Artificial Intelligence or Data Science: Focus on advanced AI and analytics to deepen your expertise.
MSc in Computer Science: Broaden your knowledge in computing and prepare for research or leadership roles.
PhD Opportunities: Engage in cutting-edge AI research and contribute to the next generation of intelligent technologies.

NTU’s strong research culture, industry links, and professional support make it easy to continue your academic journey or move straight into a fulfilling career.