University Of Roehampton, London
MSc Artificial Intelligence
STEMFormat
Full timeDuration
12 monthsTuition fee
17325 GBP (20735 EUR)Our industry-aligned curriculum, covering the latest breakthroughs from OpenAI, DeepMind and Microsoft, combined with hands-on application development using cloud-based tools, will give you the skills for cutting-edge AI roles. Gain comprehensive knowledge across machine learning, deep learning, robotics and automation while exploring AI ethics.
Skills You'll develop essential skills for the AI industry:
Industry-Aligned Curriculum: Learn the latest AI technologies and techniques from leading companies like DeepMind, OpenAI, and Microsoft. Study their research papers and code bases to gain exposure to cutting-edge industry applications.
Practical Application Development: Gain hands-on experience with industry-standard tools like Azure, preparing for real-world AI development roles.
Comprehensive Coverage: Explore all major AI domains, including machine learning, deep learning, generative AI, automation, IoT, and digital twins for a well-rounded, future-proof education.
AI Ethics and Governance: Understand the ethical, legal, and social implications of AI to develop and deploy AI responsibly.
Industry Collaboration: Benefit from Roehampton's partnerships with industry collaborators, offering internships, projects, and placement opportunities for valuable experience.
Learning
Instead of traditional lectures, you’ll engage with interactive video content that makes learning more dynamic and engaging.
You’ll dive into hands-on learning through group work and practical exercises, allowing you to collaborate and apply what you’ve learned in real-world scenarios. You’ll work in lab spaces designed to mimic real IT industry environments, giving you a taste of what it’s like to work in the field and prepare you for industry challenges.
Assessment
Practical Coursework: Create projects and artefacts that grow in complexity as you progress through your studies, allowing you to demonstrate your skills and creativity.
Class Tests and Exams: Alongside your practical work, you'll take tests and exams to assess your understanding of theoretical concepts and reinforce your learning.
Portfolio Development: Build a detailed portfolio of your work, which will help you showcase your skills and achievements to potential employers.
Careers Upon graduation you will be prepared for various roles, including:
AI Software Engineer/Developer: Build and deploy cloud-based AI software solutions using tools like Python, .NET, Git, and Azure. Develop intelligent systems for various applications.
Machine Learning Engineer: Develop and deploy machine learning models with a strong foundation in supervised and unsupervised learning, neural networks, and reinforcement learning.
Automation Engineer: Create intelligent systems for manufacturing, logistics, and other industrial domains with expertise in robotics, IoT, digital twins, and Industry 4.0/5.0.
AI Research Scientist/Engineer: Engage in research-oriented roles with theoretical foundations in computational intelligence and exposure to the latest AI research.
AI Consultant/Analyst: Advise organisations on AI strategy, implementation, and responsible use with broad knowledge of AI concepts and techniques.
Specific entry requirements
A degree in computing.
