MSc Artificial Intelligence

This programme is designed to transform you into an AI practitioner through a deeply practical, hands-on curriculum that bridges cutting-edge theory with real-world application. You'll have access to our world-class facilities within the Department of Informatics, including our specialised AI laboratories, high-performance computing clusters, and robotics equipment, all designed to give you direct experience with the tools shaping the future of technology. Your learning is powered by the same industry-standard software used by leading tech firms and culminates in a substantial research project where you will design, implement, and evaluate intelligent systems, preparing you for a career at the forefront of AI innovation.

Here’s how you’ll gain advanced, hands-on experience:

• Industry-Standard AI Software: You'll gain deep proficiency in essential professional tools including TensorFlow and PyTorch for deep learning, Scikit-learn for machine learning, and OpenAI Gym for reinforcement learning, ensuring you're industry-ready upon graduation.

• The MSc Individual Project: The cornerstone of your degree is a six-month research and development project, where you'll tackle a complex, real-world AI challenge, developing crucial problem-solving and technical skills.

• Intelligent Systems Laboratory: You'll conduct experiments in our dedicated AI labs, utilising high-performance GPU clusters and computing resources to train and test sophisticated models on large-scale datasets.

• Robotics and AI Hardware: You'll have access to our robotics equipment, including humanoid robots and autonomous systems, for practical work in embodied AI and intelligent agents.

• High-Performance Computing Cluster: You'll use our advanced computing facilities for computationally intensive tasks like large-scale data analysis, complex model training, and simulation.

• King's Computational Research Resources: You'll have access to college-wide high-performance computing resources, including specialised hardware for accelerated machine learning workflows.

• Industry Collaboration: Many projects incorporate real-world challenges from our industry partners, providing valuable insight into current AI applications in healthcare, finance, and technology sectors.

• Research-Led Learning: Your practical work is directly informed by the pioneering research conducted within the King's Institute for Artificial Intelligence, giving you exposure to the latest advancements in AI ethics, natural language processing, and computer vision.

Graduates of the AI MSc at King’s often move into roles such as AI Engineer, Data Scientist, Machine Learning Consultant, or Research Associate. The programme gives both theoretical rigour and practical experience, helping many students land well-paying jobs in tech, public sector, and research soon after finishing.

Progression & Future Opportunities:
Here’s how King’s sets you up to succeed and grow professionally:

• Which university services help students to employ:
  The Informatics Department works closely with King’s Careers Service to offer tailored sessions (CVs, interviews etc.), plus a careers programme including skills workshops and regular visits from top employers. These ensure that you are well prepared to meet employer expectations. 

• Employment stats and salary figures:

  • Computing graduates from King’s earn about £36,000 around 15 months after completing the course; after 3 years it rises to around £44,000, and at 5 years to roughly £53,700. 

  • About 85% of students go on to work and/or further study within 15 months of graduating. 

• University–industry partnerships (specific):

  • King’s AI Institute and its Informatics department collaborate widely, including multidisciplinary partnerships with the NHS, public sector, industry, and charities. 

  • The MSci AI programme (linked closely to the MSc) includes work with companies such as Amazon Web Services, Aerogility, IBM, Terranova Software for real-world projects and mentorship opportunities.

• Long-term accreditation value:

  • The MSci version is accredited by the BCS (Chartered Institute for IT), which is one of the key professional recognitions in the UK computing field. This adds value in the eyes of employers and helps with routes to professional status such as CITP. 

• Graduation outcomes:
  You’ll graduate with not just academic knowledge, but hands-on experience, professional readiness, and a network of industry contacts. Many alumni work in high demand areas like cloud, data science, software systems, or research roles. Your credential from King’s gives your CV both strength and recognition.

Further Academic Progression:
After you complete the MSc Artificial Intelligence, there are several ways to build on it if you want to go further: you could pursue a PhD in areas like Machine Learning, AI Ethics, or Human-Centred AI; engage in research roles in academia or industry; or even branch into interdisciplinary fields combining AI with healthcare, environment, or public policy. King’s strong research profile and its partnerships make these routes very feasible.