MSc Integrated Machine Learning Systems

A minimum of an upper second-class Bachelor's degree in electronic and electrical engineering, computer science, and related fields from a UK university or an overseas qualification of an equivalent standard. Basic knowledge (e.g. at UK 2:1 standard in relevant undergraduate-standard modules) of programming languages (such as C, C++, Python, Java, or similar) is required. Basic knowledge of mathematics (e.g. at UK 2:1 standard in relevant undergraduate-standard modules) is also required in algebra, analysis, probability, or statistics. Applicants must show an interest in developing thinking and problem-solving skills.

For fees and funding options, please visit website to find out more.

This programme provides you with comprehensive knowledge and practical skills in integrated machine learning systems, preparing you for a range of possible careers in industry or academia.

Compulsory modules

• Research Project
• Applied Machine Learning Systems I (MLS-1)
• Applied Machine Learning Systems II (MLS-II)
• Data Acquisition and Processing Systems (DPS)
• Cloud, Data Centres and Edge-Computing
• Security and Privacy
• Emerging Topics in Integrated Machine Learning Systems
• Introduction to Internet Protocol Networks
• Internet of Things
• Deep Learning for Natural Language Processing
• Entrepreneurship: Theory and Practice

Optional modules

• Introduction to Internet Protocol Networks
• Internet of Things
• Deep Learning for Natural Language Processing
• Entrepreneurship: Theory and Practice
• reasonable adjustments
• Student Support and Wellbeing Services
• UCL Student Support and Wellbeing Services
• AccessAble
• UCL Student Support and Wellbeing Services.