BSc Computer Science with Artificial Intelligence

3 Years On Campus Bachelors Program

University of Bristol

Program Overview

BSc Computer Science with Artificial Intelligence combines a focus on the rapidly evolving field of Artificial Intelligence (AI) with a thorough grounding in the fundamentals of computer science, including opportunities to specialise in a range of advanced areas of AI and computer science. We review our curriculum constantly to ensure it remains at the leading edge.

Core ideas are introduced in years one and two. You will learn the principles of algorithms and programming, covering three key paradigms: imperative, functional and object-oriented. You will also study the core concepts, tools and methods of artificial intelligence; the mathematics and statistics underpinning modern computer science and artificial intelligence; how modern computer architecture is organised; and the foundations of human-computer interaction, cyber security and theoretical and data-driven computer science.

A key component of year two is the AI software team project where you will work with others to develop an AI application for a real-world client, with help from an industrial mentor.

Experiential Learning (Research, Projects, Internships etc.)

  • Research Projects: Final-year project focusing on AI applications such as deep learning, computer vision, or natural language processing.

  • Industry Placements: Internship opportunities with AI-driven companies, research labs, and tech firms working on machine learning and automation.

  • Group AI Projects: Hands-on experience developing AI models, neural networks, and intelligent systems using Python, TensorFlow, and PyTorch.

  • Hackathons & Competitions: Participation in AI-focused competitions, including Kaggle challenges and university-led innovation sprints.

Progression & Future Opportunities

Further Study & Specialization:
  • Master’s Degrees: MSc in Artificial Intelligence, Machine Learning, Data Science, or Robotics.

  • PhD Research: Specialization in deep learning, AI ethics, reinforcement learning, or autonomous systems.

  • Professional Certifications: TensorFlow Developer Certificate, AWS Machine Learning Specialty, or Microsoft AI Engineer.

Industry Connections & Employability:
  • Strong partnerships with AI-focused companies such as DeepMind, Google, and Microsoft.

  • High demand for AI specialists in industries like finance, healthcare, and autonomous systems.

  • Real-world AI project experience makes graduates highly competitive in tech-driven job markets.

Program Key Stats

£32,500
Sept Intake : 14th Jan


59 %
Yes

Eligibility Criteria

A*AA
3.2
38
90

650
28
6.5
NA

Additional Information & Requirements

Career Options

  • AI Engineer
  • Machine Learning Engineer
  • Data Scientist
  • Software Engineer
  • Robotics Engineer
  • Computer Vision Engineer
  • NLP Engineer
  • AI Researcher
  • Cybersecurity Analyst
  • Automation Engineer

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