3 Years On Campus Bachelors Program
MEng Computer Science with Artificial Intelligence with Study Abroad 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 a modern computer architecture is organised; and the foundations of human-computer interaction, cybersecurity and theoretical and data-driven computer science.
Study Abroad Experience: A year at a partner university, gaining exposure to international AI research, emerging technologies, and diverse computing methodologies.
Research & Innovation Projects: Final-year advanced AI research project focusing on topics such as deep learning, robotics, natural language processing, or AI ethics, often integrating international perspectives.
Industry Placements: Opportunities to intern with global AI firms, research institutions, or tech startups while studying abroad.
Group AI Development Projects: Cross-cultural collaboration on AI-driven applications, intelligent systems, and machine learning models.
Hackathons & Competitions: Participation in international AI hackathons, machine learning competitions, and innovation challenges.
PhD Research: Specialization in areas like reinforcement learning, AI for healthcare, or quantum AI, leveraging global research networks.
Global Tech MBA: For those aiming for leadership roles in AI innovation and strategy.
Professional Certifications: International AI and cloud certifications such as Google Professional Machine Learning Engineer, AWS AI Specialty, and Microsoft Certified AI Engineer.
Exposure to AI research and work environments in different countries, enhancing adaptability and career prospects.
Opportunities for networking with AI experts and researchers worldwide.
Competitive advantage in global AI roles due to international experience and cross-cultural collaboration.
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