MSc Responsible Artificial Intelligence
The MSc Responsible Artificial Intelligence is an integrated programme of study with dual foci on both theory and application. Presupposing no background in computing, students are equipped with the relevant knowledge and data programming skills – covering recent technical developments alongside broader ethical and theoretical considerations – to fulfil the needs of a vast range of organisations and employers.
Courses
The courses that run in each academic year are subject to change in line with faculty availability and student demand so there is no guarantee every course will be delivered. For further information, please see here and speak to your admissions contact.
Core courses
For the MSc Responsible Artificial Intelligence all students will complete the following compulsory courses.
Michaelmas Term
Programming with Data (NCHAI758)
Learn programming in Python… Read More
Discrete Structures
Learn the mathematical tools that form the foundation of computer science… Read More
AI & Data Ethics (PG)
Explore ethical issues that arise in Data Science and the related field of AI… Read More
Hilary Term
Foundations of Data Science (NCHAI759)
Analyse data sets in Python using modern data analytics libraries … Read More
Object-Oriented Design
An understanding of the concepts and practice of program design… Read More
PLUS Either:
Minds & Machines (NCHAI750)
The Minds and Machines course engages students with philosophical thinking and AI… Read More
or:
Technology & Human Values (NCHPH757)
Exploration of the social, political, and ethical dimensions of emerging technologies… Read More
Trinity Term
Principles of Machine Learning
Develop an understand the principles of machine learning and when to use it. … Read More
Natural Language Processing with Deep Learning (NCHAI771)
Natural language processing is one of the most important areas of machine learning… Read More
MSc Dissertation Project
An MSc dissertation project addressing a substantial, real-world problem… Read More