Artificial Intelligence MSc

Artificial Intelligence (AI) encompasses the techniques and methods used to tackle problems that traditional approaches to computing struggle to solve. The four areas of fuzzy logic, evolutionary computing, neural networks, and natural language processing encompass much of what is considered artificial intelligence. Depending on your interests, you can apply what you learn in areas such as robot control and game development.

You will study neural systems, natural language processing, and research methods and applications while developing your skills in our dedicated robotics laboratory, equipped with various mobile robots. The applied computational intelligence module considers knowledge-based systems and AI’s historical, philosophical, and future implications and focuses on current research and applications.

Key features

• Artificial intelligence is a growing industry across the globe. Students can delve into game development, control systems, software engineering, internet businesses, financial services, mobile communications, programming, and software engineering.
• The programme module features work based on research by our IAI and focus on the use of fuzzy logic, artificial neural networks, evolutionary computing, and mobile robotics, providing theoretically sound solutions to real-world decision-making and prediction problems.
• Students will be introduced to concepts such as AI laboratories featuring cutting-edge workstations and technologies such as the Emotiv Flex Gel Sensor Kit and Emotiv PRO, the Lynxmotion Hexapod robot, Turtlebots, HTC Vive development kits, a 3D printer, and Lego EV3 Kits.
• With available full-time or part-time learning and study options, your studies can keep pace with work and other commitments. This makes the course ideal for recent graduates and professionals already employed.
• The programme leaders are experienced professionals dedicated to ensuring students receive a high-quality education. They are readily available to answer any questions or concerns students may have regarding the accreditation process or the course content.
• DMU Dubai students can now benefit from the Industry Advisory Board, which comprises leading experts and professionals at the enterprise level. The board provides valuable insights and guidance to ensure the curriculum remains relevant and current with industry trends and demands.
• Benefit from Education 2030, where a simplified ‘block learning’ timetable means you will study one subject at a time and have more time to engage with your learning, receive faster feedback and enjoy a better study-life balance

Course modules

All Modules

• Block 1: Neural Systems and Natural Language Processing
• Block 2: Artificial Intelligence for Mobile Robots
• Block 3: Fuzzy Logic and Evolutionary Computing
• Block 4: Research Methods & Applications
• Blocks 5 & 6: Thesis Project