Master's
Master of Science in Artificial Intelligence and Data Engineering – UCL
Course Overview
The Master of Science in Artificial Intelligence and Data Engineering 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 Engineering, Computer Science, Statistics, or Applied Mathematics (min 2:1 / 60–70%+).
- Demonstrated technical experience in Python programming, machine learning basics, and linear algebra.
- English Proficiency: IELTS Academic Level 2 (7.0 overall with min 6.5 in each section).
- Certified academic transcripts, degree certificates, and passport copy.
- Detailed CV showcasing technical tools, AI frameworks, and quantitative research experience.
Career Outcomes
- AI Engineer
- Data Infrastructure Engineer
- Machine Learning Operations (MLOps) Engineer
- Big Data Architect
- AI Solutions Architect
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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