Machine Learning

The MSc in Machine Learning at University College London offers a comprehensive and rigorous curriculum designed to equip students with advanced knowledge and practical skills in the rapidly evolving field of artificial intelligence and data science. This program provides a deep understanding of the theoretical foundations of machine learning algorithms, including supervised, unsupervised, and reinforcement learning methods, as well as their real-world applications across diverse industries. Students will explore topics such as probabilistic models, neural networks, deep learning, natural language processing, and computer vision, gaining the ability to develop, analyze, and deploy cutting-edge machine learning systems. The program emphasizes a hands-on approach, integrating practical programming exercises, project work, and collaboration with industry partners to ensure graduates are well-prepared for careers in research, technology development, and data-driven decision-making. The coursework is complemented by seminars and workshops led by leading experts in the field, providing insights into the latest advancements and challenges in machine learning. With access to state-of-the-art laboratories and computing facilities, students can experiment with real datasets and innovative tools to create effective machine learning solutions. The MSc program also fosters a strong foundation in mathematical and statistical principles, critical thinking, and problem-solving skills necessary for advancing research or pursuing doctoral studies. Graduates from this program are highly sought after by technology companies, finance institutions, healthcare organizations, and consulting firms, reflecting the program’s focus on applying machine learning techniques to solve practical problems. Designed for students with a background in computer science, mathematics, or related disciplines, the MSc in Machine Learning at UCL prepares graduates for leadership roles in academia and industry by combining theoretical knowledge with practical experience and industry engagement.

Students develop an understanding of the principles underlying the development and application of new techniques in this area, alongside an awareness of, and ability to analyse the range and scope of algorithms and approaches available, and design, develop and evaluate appropriate algorithms and methods for new problems and applications.

Students undertake modules to the value of 180 credits.

The programme consists of two core modules (30 credits), six optional modules (90 credits) and a research project (60 credits).

Core modules

• Supervised Learning
• Either Graphical Models
• or Probabilistic and Unsupervised Learning

Optional modules

• Advanced Deep Learning and Reinforcement Learning
• Advanced Topics in Machine Learning
• Affective Computing and Human-Robot Interaction
• Applied Machine Learning
• Approximate Inference and Learning in Probabilistic Models
• Bioinformatics
• Information Retrieval and Data Mining
• Introduction to Deep Learning
• Machine Vision
• Programming and Mathematical Methods for Machine Learning
• Statistical Natural Language Programming

Dissertation/report

All MSc students undertake an independent research project which culminates in a dissertation ( maximum length of 120 pages) in the form of a project report.

Teaching and learning

The programme is delivered through a combination of lectures, seminars, class discussions and project supervision. Student performance is assessed though a combination of unseen written examination, coursework (much of which involves programming and/or data analysis), practical application, and the research project.

A minimum of an upper second-class UK Bachelor's degree in a highly quantitative subject such as computer science, mathematics, electrical engineering or the physical sciences, or an overseas qualification of an equivalent standard. Relevant work experience may also be taken into account. Additionally, candidates must be comfortable with undergraduate mathematics in areas such as linear algebra and calculus.

The MSc in Machine Learning at University College London offers a diverse range of financing options to support students throughout their studies. The program primarily provides funding opportunities through scholarships, bursaries, and student loans. UCL’s prestigious scholarship schemes, such as the Trinity College London Trust Scholarships and departmental bursaries, are available to outstanding applicants based on academic excellence and potential. These awards can significantly reduce the financial burden and are highly competitive. Additionally, students are encouraged to explore external funding sources, including government-sponsored loans and private foundations that support postgraduate education in STEM fields. The UK government offers postgraduate loans for eligible students, which can cover a substantial portion of tuition fees and living expenses, repayable after graduation based on income levels. UCL also advises students to seek funding from industry partners and research grants, particularly those aligned with advancements in Artificial Intelligence and machine learning. International students may also consider scholarships offered specifically for international applicants, which might include full or partial tuition fee waivers. The university provides comprehensive guidance on applying for these financial aid options. Furthermore, students are encouraged to seek part-time employment opportunities both within UCL’s campus and externally, which can provide additional financial support while gaining valuable work experience. It is recommended that prospective students thoroughly review the specific eligibility criteria, application procedures, and deadlines associated with each funding source. Overall, the combined support from UCL’s internal scholarships, external funding opportunities, government loans, and part-time work options facilitates accessible education for talented individuals pursuing the MSc in Machine Learning.

The MSc Machine Learning programme at University College London (UCL) is designed to provide students with a comprehensive understanding of the theoretical foundations and practical applications of machine learning. The curriculum covers a broad range of topics including supervised and unsupervised learning, deep learning, reinforcement learning, probabilistic models, and optimization techniques. Students will gain hands-on experience through laboratory work, projects, and collaborations with industry partners, enabling them to develop deployable machine learning solutions.

The program is suitable for graduates from computer science, mathematics, engineering, or related fields who wish to specialize in machine learning. It emphasizes both the mathematical underpinnings and computational methodologies essential for designing advanced algorithms. UCL’s state-of-the-art facilities and faculty expertise ensure that students are trained to stay at the forefront of AI research and industry developments.

Core modules include Introduction to Machine Learning, Statistical Methods for Data Analysis, Deep Learning, and Probabilistic Modelling, with options in areas like Natural Language Processing, Computer Vision, and Reinforcement Learning. The programme also offers a final-year dissertation, allowing students to undertake independent research under academic supervision.

UCL's diverse and vibrant student community facilitates collaborative learning and innovation. Graduates of the MSc Machine Learning programme are well-equipped to pursue careers in research, industry, or continue to PhD studies. The programme benefits from UCL’s extensive links with tech companies and research institutions, providing students with valuable networking opportunities and access to cutting-edge developments in artificial intelligence.

Admission requirements typically include a strong background in mathematics and programming. The programme is delivered through a combination of lectures, tutorials, and project work, encouraging active participation and practical skill development. On completion, students receive an MSc degree, recognized globally for its academic excellence and relevance to current and future technological challenges in artificial intelligence and data science.

The MSc Machine Learning programme at UCL reflects the university’s commitment to innovation and excellence in education, positioning graduates for successful careers in a rapidly evolving technological landscape.