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1 Year On Campus Masters Program
Queen Mary University of LondonThe MSc Artificial Intelligence and Machine Learning in Scienceat QMUL offers both core foundations (machine learning, AI theory, NLP) and specialised streams to let students focus on language/agents or multimodal AI (vision, audio, creativity). It’s ideal for graduates in computing, engineering, or related fields who want to work in AI research or high-tech industry roles.
Curriculum Structure
You will start with compulsory modules such as Machine Learning, Artificial Intelligence, Natural Language Processing, and Ethics, Regulation and Law in Advanced Digital Information Processing and Decision Making, which build foundations in algorithms, learning, language, and AI governance. Then, depending on your chosen stream, you’ll take electives like Conversational Agents & Dialogue Systems (Language & Agents stream) or Deep Learning for Computer Vision and Computational Creativity (Multimodal AI stream), giving you hands-on experience in specialised AI applications. The programme ends with a major MSc Project, where you apply everything you've learned to a research or applied problem under supervision.
Focus areas: “Machine Learning; Natural Language Processing; AI ethics & law; Speech & Language Agents; Computer Vision & Multimodal AI; Computational Creativity”
Learning outcomes: “Develop competence in AI foundations; specialise in language-oriented or multimodal AI; build and evaluate practical AI systems; understand ethical, regulatory, and legal dimensions; complete a major project demonstrating research or development skills.”
Professional alignment (accreditation): The degree is accredited by BCS, The Chartered Institute for IT, partially meeting requirements for Chartered IT Professional (CITP) and Chartered Engineer (CEng) registration.
Reputation (employability rankings): QMUL’s School of Electronic Engineering & Computer Science is ranked among the UK’s top departments; the programme reports 100% of graduates in highly skilled employment 15 months after graduation, with an average salary around £48,219.
This programme is designed to transform theoretical AI concepts into practical, deployable skills. You will gain hands-on experience using the University's computing facilities and industry-standard software to build and evaluate intelligent systems. This applied approach is central to the course, delivered through:
Industry-Standard Software and Tools: The curriculum involves extensive practical work with core programming languages like Python and major machine learning libraries such as TensorFlow and PyTorch.
Substantial Individual Project: A core component is a significant final project where you will apply AI techniques to a substantial, real-world problem, often in collaboration with one of the University's research groups.
Access to Research Groups: The programme is supported by the Computer Vision and Learning Lab and the Cognitive Science Research Group, providing exposure to cutting-edge research in machine learning and intelligent systems.
High-Performance Computing (HPC): For complex data-intensive tasks, you will have access to the University's Apocrita HPC cluster to train sophisticated models and run large-scale computations.
Graduates of MSc Artificial Intelligence and Machine Learning in Science the at Queen Mary University London enjoy excellent pursuit of skilled employment, taking on roles such as AI Engineer, Machine Learning Specialist, Data Scientist, and Research Developer. The program’s rigorous curriculum and industry connections position graduates strongly for careers in AI-driven sectors including finance, healthcare, tech, and creative industries.
Queen Mary University’s Careers and Enterprise Service provides tailored career coaching, sector-specific employer networking, placement support, and access to a dedicated job portal focused on AI and tech industries.
The 2021/22 Graduate Outcomes Survey reports 100% of MSc AI graduates in highly skilled employment 15 months post-graduation, with an average salary of £48,219, reflecting strong market demand and competitive pay.
Industry partnerships include collaborations with major tech firms, startups, and research institutions, with student projects often linked to companies like Google, Microsoft, and DeepMind, supported by Queen Mary’s strong AI research community.
The MSc is accredited by the British Computer Society (BCS) for meeting the academic requirements for Chartered IT Professional status and Chartered Engineer pathways, enhancing professional recognition.
Graduates are employed globally, contributing to state-of-the-art AI software, system design, data analytics, and interdisciplinary innovation in both private and public sectors.
Further Academic Progression:
Graduates can continue to PhD research in artificial intelligence, machine learning, robotics, or data science, or pursue advanced professional certifications, postdoctoral fellowships, and industry-linked research to deepen expertise and career prospects in emerging AI fields.
A good 2:2 (55% or above) or above at undergraduate level in Mathematics, Physics, Chemistry, Computing, Engineering or any other STEM subjects.USA- UK 2:2 degree: GPA 2.5 out of 4.0India - Bachelor Degree (minimum 3 years) from selected institutions. With minimum 50% to 60%IELTS (Academic) minimum score 6.5 overall with 6.0 in each of Writing, Listening, Reading and SpeakingTOEFL minimum score 92 overall with 21 in Writing, 19 in Reading, 18 in Listening and 21 in SpeakingHead of DevelopmentEngineering ManagerLecturerIT ConsultantProject ManagerIT DeveloperMobile DeveloperTechnical AssistantAnalystSoftware Developer
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