MEng Computer Science with Artificial Intelligence

4 Years On Campus Bachelors Program

University of Bristol

Program Overview

MEng 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 while gaining skills in system development and enterprise. 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.

Experiential Learning (Research, Projects, Internships etc.)

  • Research Projects: Final-year advanced AI research project exploring deep learning, computer vision, robotics, or AI ethics.

  • Industry Placements: Internship opportunities with AI-focused companies, research institutions, and leading tech firms.

  • Group AI Innovation Projects: Collaborative development of AI-driven applications, neural networks, and intelligent automation systems using Python, TensorFlow, and PyTorch.

  • Hackathons & Competitions: Participation in AI and machine learning competitions, such as Kaggle challenges and industry-led hackathons.

  • Advanced Study Modules: Exposure to cutting-edge AI topics like generative AI, reinforcement learning, and autonomous systems.

Progression & Future Opportunities

Further Study & Specialization:
  • PhD Research: Specialization in AI ethics, deep reinforcement learning, quantum computing, or AI for healthcare.

  • MBA in AI & Tech Management: For those looking to transition into AI leadership and innovation roles.

  • Professional Certifications: Google Professional Machine Learning Engineer, AWS AI Specialty, Microsoft Certified AI Engineer.

Industry Connections & Employability:
  • Strong links with leading AI research labs and companies like DeepMind, OpenAI, and NVIDIA.

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

  • Competitive edge with an integrated Master’s degree, opening doors to leadership and R&D roles.

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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