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11 Master's degrees offered by the university
AI Ethics and Society
The AI Ethics and Society degree from the University of Cambridge is rapidly developing and is increasingly being applied across sectors, posing significant ethical and societal challenges.
Ethics of AI, Data and Algorithms
The Ethics of AI, Data and Algorithms course from the University of Cambridge aims to equip students with the skills and knowledge to contribute critically and constructively to cross-disciplinary research on AI, data and algorithms and their ethical and societal implications.
Data Intensive Science
The Data Intensive Science course from the University of Cambridge is a full-time, ten-month programme designed to provide students with advanced skills in data science. This degree equips graduates with the necessary expertise to tackle complex data challenges in scientific research and industry applications.
Machine Learning and Machine Intelligence
Machine Learning and Machine Intelligence from University of Cambridge is an 11-month MPhil programme, taught from within our Information Engineering Division, with a unique, joint emphasis on both machine learning and machine intelligence.
Economics and Data Science
Economics and Data Science from University of Cambridge course aims to expand the knowledge of a diverse set of students who already have good undergraduate degrees in economics or related fields with the tools of data science to handle and interpret large quantities of data.
Scientific Computing
The Scientific Computing course from the University of Cambridge graduates have rigorous research skills and are formidably well-equipped to proceed to doctoral research or directly into employment.
Advanced Computer Science
This Advanced Computer Science programme from the University of Cambridge aim is to provide preparation appropriate for undertaking a PhD programme in computer science.
Computational Biology
The Computational Biology course from the University of Cambridge is aimed at introducing students in the biological, mathematical and physical sciences to quantitative aspects of modern biology and medicine, including bioinformatics.
Human Inspired AI
This MPhil in Human Inspired AI at University of Cambridge is designed to equip the next generation of AI researchers, technologists, and leaders with the skills needed to develop human-centred, human-compatible, responsible and socially and globally beneficial AI technologies.
Digital Humanities
This Digital Humanities course from the University of Cambridge explores the ways in which the humanities engage with the processes of digital transformation, digital futures, digital research, and digital cultures, as questions arise around AI, ethics of automation, algorithmic analysis, privacy/surveillance, online cultures.
NeuroAI and Intelligent Systems
This NeuroAI and Intelligent Systems course from University of Cambridge is designed to equip students with a strong foundation in the core principles of NeuroAI, combining theoretical depth with hands-on technical training.