Artificial Intelligence BSc (Hons)

3 Years On Campus Bachelors Program

De Montfort University

Program Overview

The BSc (Hons) in Artificial Intelligence at De Montfort University is all about giving you the skills and confidence to build smart systems that can think, learn, and act. If you’re curious about how machines learn, love problem-solving, and want to work in a tech field that’s shaping the future, this course is perfect for you.


Curriculum Structure:
Year 1:
You’ll start by building a solid foundation in computing and programming. Modules like Database Design and Implementation teach you how to organise and protect data, Computer Programming helps you write reliable software, and Fundamental Concepts of Computer Science covers the maths, logic, and ethics behind technology. You’ll also explore Operating Systems and Networks, giving you insight into the hardware and systems that power everything.

Year 2:
Now it gets exciting! You’ll dive into AI-focused subjects such as Applied Artificial Intelligence, where you’ll create chatbots and expert systems, Intelligent Robotics, learning about sensors and robot navigation, and Computational Intelligence, exploring neural networks and natural language processing. You’ll also develop teamwork skills in Agile Team Development, preparing you to work effectively in real tech environments.

Year 3:
In your final year, you’ll tackle advanced topics and complete a major project that showcases your skills. Modules like Big Data and Machine Learning teach you to handle and analyse huge datasets, Agent-Based Modelling and Parallel Computing develops your ability to work with complex systems, and Fuzzy Logic and Inference Systems helps you design smarter AI. Your Development Project lets you innovate and create a solution from start to finish.


Focus Areas:
Robotics, machine learning, data analytics, neural networks, swarm intelligence, autonomous systems, ethical AI.

Learning Outcomes:
You’ll graduate ready to design intelligent systems, implement AI algorithms, build autonomous agents, work with big data, collaborate in teams, and navigate the ethical challenges of AI in the real world.

Professional Alignment (Accreditation):
This course is accredited by the British Computer Society (BCS), so you know it meets high standards and is recognised by industry.

Reputation (Employability Rankings):
DMU is ranked among the top UK universities for helping students get into work, with strong careers support and opportunities to gain real-world experience.

Experiential Learning (Research, Projects, Internships etc.)

At DMU, this Artificial Intelligence degree isn’t just about theory — it’s about getting your hands dirty with real technology and projects that prepare you for the workplace. From building and programming robots to exploring cutting-edge AI in research labs, you’ll have every opportunity to apply what you learn in practical, meaningful ways. You’ll also benefit from support from experienced faculty and access to professional networks that connect you to industry. Here’s how this looks in practice:

  • AI and Robotics Lab – Work directly with mobile robots and AI systems, testing algorithms and seeing your ideas come to life.

  • Robot Club – Collaborate on robotics projects, mentor school students, and even compete internationally, such as at the Robot Challenge in Vienna.

  • Institute of Artificial Intelligence – Learn from leading researchers and gain insights into the latest developments in AI and intelligent systems.

  • Work Placement Opportunities – Gain real-world experience with top companies like IBM, Microsoft, and PayPoint, boosting your employability.

  • BCS Accreditation – Study a programme recognised by the British Computer Society, giving your degree extra professional weight.

  • Dedicated Support & Facilities – DMU ranks highly for academic support, ensuring you have the guidance and resources you need, including modern labs, libraries, and digital tools.

Progression & Future Opportunities

Graduates from DMU’s Artificial Intelligence program leave ready to step straight into the exciting world of AI and tech. With a strong grounding in machine learning, robotics, and data analytics, you’ll be prepared for roles such as an AI Software Developer, Robotics Engineer, Data Scientist, or Machine Learning Engineer. Your degree equips you not just with knowledge, but with the practical skills and industry connections that employers are looking for. Here’s how DMU supports you along the way:

  • Career Development Support – The dedicated Careers Team helps with CV building, mock interviews, career fairs, and one-on-one guidance to make sure you’re ready for the job market.

  • Graduate Employment – DMU graduates enjoy excellent outcomes, with 97% of students from recent cohorts employed or in further study within six months of graduation.

  • Industry Partnerships – Work with leading companies like IBM, Microsoft, and PayPoint, giving you real-world experience through placements and projects.

  • Professional Accreditation – The course is accredited by the British Computer Society (BCS), giving your degree extra professional credibility and long-term value.

Further Academic Progression:

If you want to take your studies further, there are excellent options for postgraduate learning:

  • MSc in Artificial Intelligence – Deepen your knowledge of AI models, algorithms, and applications, opening doors to leadership or research roles.

  • PhD Opportunities – Get involved in cutting-edge research at DMU’s Digital Future Institute, exploring areas like AI, data science, and cybersecurity.

These pathways let you specialise further and continue advancing in a field that’s constantly evolving.

Program Key Stats

£16,800
£9,535
£ 29
Sept Intake : 14th Jan


Eligibility Criteria

BBC
3.0
26
65

NA
NA
6.0
-

Additional Information & Requirements

Career Options

  • AI Software Developer
  • Machine Learning Engineer
  • Data Scientist
  • Robotics Engineer
  • Computer Vision Engineer
  • Natural Language Processing (NLP) Specialist
  • AI Researcher
  • Autonomous Systems Developer
  • Big Data Analyst
  • AI Consultant
  • Intelligent Systems Designer
  • Business Intelligence Developer
  • AI Product Manager

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