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Artificial Intelligence MSc - DMU Dubai

artificial-intelligence

Key details

Award: MSc
Duration: One year full-time, two years part-time
Location: DMU Dubai campus

Course overview

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 Block teaching, 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

 

 

Entry criteria

Applicants will normally hold an undergraduate degree in any subject with a minimum pass of 2:2, or equivalent overseas qualification. 
Professional qualifications deemed to be of equivalent standing will be considered on an individual basis. 

Work experience is not a requirement.

International Students 

If English is not your first language an IELTS score of 6.0 overall with 5.5 in each band, or equivalent when you start the course is essential. English Language tuition, delivered by our British Council-accredited Centre for English Language Learning, is available both before and throughout the course if you need it.

Course 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

Note: All modules are indicative and based on the current academic session. Course information is correct at the time of publication and is subject to review. Exact modules may, therefore, vary for your intake in order to keep content current. If there are changes to your course we will, where reasonable, take steps to inform you as appropriate.

Teaching and assessments

The course consists of an induction unit, four modules and an individual project. Teaching is normally delivered through lectures, seminars, tutorials, workshops, discussions and e-learning packages. Assessment is via coursework only and will usually involve a combination of individual and group work, presentations, essays, reports and projects.

Contact and learning hours

Students will normally attend around 12 hours of timetabled taught sessions each week, with approximately 28 additional hours of self-directed independent study and research to support your assignments and dissertation per week.

Graduate careers

Graduates in this highly popular field can choose a wide range of career growth options. A growing number of organizations and industries are now using AI for numerous purposes, like automating activities, increasing output, and optimizing decisions through the use of intelligent systems and data. AI can assist with customer service inquiries, financial transactions, and extracting meaningful insights from large amounts of data.