Institute Name : Queen Mary University of London

Course Name : Computer Science and Artificial Intelligence

Course Type : Undergraduate

Education Level : 4,5,6

Duration : 3 Years

Method of Delivery : On Campus

Pre Requirements : Non-UK students We accept a wide range of European and international qualifications in addition to A-levels, the International Baccalaureate and BTEC qualifications. Please visit International Admissions for full details. If your qualifications are not accepted for direct entry onto this degree, consider applying for a foundation programme. English language Find out more about our English language entry requirements, including the types of test we accept and the scores needed for entry to the programme. You may also be able to meet the English language requirement for your programme by joining a summer pre-sessional programme before starting your degree.

Language Level : B2

Visa Type : 40

Application Fee : None

Academic Deposit : None

Fees : £26500 Annual

Intakes : September

Course Description :

YEAR 1

• Procedural Programming
• Computer System and Networks
• Logic and Discrete Structures 
• Professional and Research Practice
• Object Oriented Programming
• Fundamentals of Web Technology
• Information System Analysis
• Automata and Formal Languages

YEAR 2

• Aspects of Robotics
• Algorithms and Data Structures
• Probability and Matrices
• Introduction to Artificial Intelligence
• Design and Build Project in Robotics Engineering
• Operating Systems
• Nature-inspired Computing
• AI for Decision Making

YEAR 3

Core (both streams) 

• Project

You will be asked to choose one education of the following stream of modules, which you will choose according to your interests.

Stream 1 - Vision and Data:

• Principles of Machine Learning
• Image Processing
• Data Mining
• Bayesian Decision and Risk Analysis
• Machine Learning for Visual Data Analysis
• Introduction to Natural Language Processing

Stream 2 - Games and Music:

• Principles of Machine Learning
• Logic in Computer Science
• Multi-platform Game Development
• Bayesian Decision and Risk Analysis
• Music Informatics
• Computational Game Design