Master's
Master of Science in Machine Learning – UCL
Course Overview
The Master of Science in Machine Learning at University College London (UCL) provides students with advanced academic knowledge and practical skills relevant to the discipline. The programme combines theoretical learning with applied projects, research, and industry-informed teaching.
Students develop analytical, communication, technical, and professional competencies through an innovative curriculum. Emphasis is placed on critical thinking, problem-solving, and global perspectives within the field. Graduates are well prepared for professional careers, research opportunities, or further postgraduate study.
Entry Requirements
- Recognized Bachelor degree in Computer Science, Mathematics, Physics, or Electrical Engineering (min 2:1 / 60–70%+).
- Advanced background in probability theory, linear algebra, calculus, and algorithm development.
- English Proficiency: IELTS Academic Level 2 (7.0 overall with min 6.5 in all sub-scores).
- Transcripts detailing higher-level math modules, degree certificate, and referee details.
- Technical portfolio or statement highlighting mathematical and machine learning projects.
Career Outcomes
- Machine Learning Researcher
- AI Research Scientist
- Deep Learning Engineer
- Algorithm Developer
- Data Scientist
Scholarship Available
- Available
Key Information
Location
London, United Kingdom
University
University College London
Intakes
September
Study Mode
On Campus
Tuition Fee
$42,700 / Year
Duration
1 Year
Language
English
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