Join our MSc programme in Artificial Intelligence to become a leader in the AI revolution, gaining hands-on experience with cutting-edge technologies and preparing for impactful roles in global industries.
Embark on a career at the cutting edge of Industry 4.0 with City University Qatar’s MSc in Artificial Intelligence. Develop advanced skills in computing, robotics, and machine learning at our state-of-art Lusail City campus. Accredited by BCS, The Chartered Institute for IT, this prestigious programme unlocks global opportunities across diverse sectors including healthcare, finance, advanced manufacturing, telecommunications, and energy.
•Specialised modules in Data Science, Deep Learning, Robotics & AI, and Knowledge
Engineering
•Accredited by BCS, The Chartered Institute for IT, for Partial CITP and Partial CEng
•Emphasis on practical application through projects and real-world case studies
To qualify for our master’s Programme, applicants must meet all the following criteria.
•A lower second-class honours degree (GPA 2.8) or better in relevant fields such as Computer Science, Software Engineering, Electronic Engineering, Electrical Engineering, Games Design and Development, Digital Media Production, Mathematics, or Physics from a recognised institution
•IELTS 6.0 with no less than 5.5 in any one band or equivalent such as the Ulster University Password English Placement Test
•If you don’t meet these requirements, the university offers support programmes to enhance your English and academic skills
The course structure offers a full-time 12-month completion or a more flexible part-time study over 24 months. The programme is structured into three semesters for a full-time student or five semesters for part time students, comprising six mandatory taught modules and a significant research project. Each module is valued at 20 credits, and the Master’s project is worth 60 credits.
SEMESTER 1
•Knowledge Engineering
•Emerging and Advanced Topics in AI
•Intelligence Engineering and Infrastructure
SEMESTER 2
•Data Science and Machine Learning
•Robotics and AI
•Deep Learning and Its Application
SEMESTER 3
•Masters Project
