/MSc in AI
Provided by: Queen Mary University of London
Course Area: London
Course Code: I4U1 (FT) | I4U2 (PT)
Course Type: Masters (taught)
Start date: 01/09/2020
End date: 31/08/2021
Subjects: Artificial Intelligence, Computer Science, Data Science, Machine Learning
Who is this course for
This course is for anyone looking to pursue a career in the booming field of Artificial Intelligence (AI).
What will I learn
The programme is organised in three semesters. The first semester has four modules that operate on a 3+1 scheme: 3 core modules that cover the foundations of machine learning techniques and introduction of Artificial Intelligence for Games (e.g., AlphaGo); and 1 optional module to select from three other AI topics (vision, music and language).
The second semester has four modules that are themed around all five AI topics offered. The module selection allows you to focus on topic-specific research or industry applications for AI. More importantly, these module options allow you to gain advanced and up-to-date knowledge on selected AI topics.
In the third semester, you will carry out a project on the AI topic that you want to specialise in after agreeing on a specific topic with an academic supervisor in the first semester, and completing the preparation phase over the second semester.
Machine Learning (15 credits)
Data Mining (15 credits)
Artificial Intelligence and Games (15 credits)
Introduction to Computer Vision (15 credits)
Music Perception and Cognition (15 credits)
Natural Language Processing (15 credits)
Four options from:
Advanced Robotics Systems (15 credits)
Music Analysis and Synthesis (15 credits)
Information Retrieval (15 credits)
Artificial Intelligence (15 credits)
Music and Speech Modelling (15 credits)
Deep Learning and Computer Vision (15 credits)
Machine Learning for Visual Data Analysis (15 credits)
Multi-platform Game Development (15 credits)
Neural Networks and NLP (15 credits)
Project (60 credits)