/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: 20210901

End date: 20220831

Subjects: Artificial Intelligence, Computer Science, Data Science, Machine Learning

Price: Over £10,000

Delivery Method: Face to face

Course Overview

Artificial Intelligence (AI) is rapidly changing the way we live, work and learn. Government and industry have recognised the need for strategic development of AI; technology giants such as Google, Microsoft and Facebook have established their own AI research institutes and in 2017, the UK government announced £75 million investment in the industry. There is however a shortage worldwide of AI talents to serve the industry and to drive future research. AI jobs are amongst the best paid in the industry while a solid background in AI is strongly desired in multiple research disciplines.

 

This MSc in AI brings together Queen Mary’s teaching, research and industrial contacts to allow students to mix the different AI topics that best suits their personal requirements and future plans. Students will be offered lectures that explain the fundamental AI concepts, universal machine learning tools essential for any AI job profile, and specific practical and research skills on all five of the AI topics. Students will gain experience with cutting-edge tools such as Deep Neural Networks (DNN), Recurrent Neural Networks (RNN), and Deep Reinforcement Learning (Deep RL) via regular exercises and practical labs. Students will be taught by world-renowned academics in their specific subject areas, and have regular contacts with them throughout the duration of the programme.

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

This MSc allows you to focus your studies and combine different AI topics to suit your personal requirements and future plans. Our world-class teaching, research and industrial contacts will support you as you understand fundamental AI concepts. You will study universal machine learning tools essential for any AI job profile, and specific practical and research skills on all five of the AI topics.

 

You will gain experience with cutting-edge tools such as Deep Neural Networks (DNN), Recurrent Neural Networks (RNN), and Deep Reinforcement Learning (Deep RL) via regular exercises and practical labs.

 

You will work closely with your lecturers and supervisors to carry out a major project on the AI topic that you want to specialise in.

 

Structure

  • Three compulsory modules
  • Five elective modules
  • Compulsory 10,000-15,000 dissertation/final project

Compulsory:

  • Artificial Intelligence
  • Machine Learning
  • Artificial Intelligence in Games

 Elective Modules:

  • Introduction to Computer Vision
  • Natural Language Processing
  • Music Perception and Cognition
  • Data Mining
  • Multi-platform Game Development
  • Advanced Robotics Systems
  • Cognitive Robotics
  • Neural Networks and NLP
  • Information Retrieval
  • Deep Learning for Audio and Music
  • Music Informatics
  • Deep Learning and Computer Vision
  • Machine Learning for Visual Data Analysis
  • Interactive Agents and Procedural Content Generation
  •  Computational Game Design
  • Computational Creativity
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