Bachelor in Mathematics, Specialisation in Data Science for Artificial Intelligence

Q. What are the admission requirements?
• High-School with a minimum average of 80%; (General Stream); 75% (Advanced stream/ Elite Stream/ Science stream or equivalent)
• Recent EmSAT-Math with a minimum score of 800 (Following MOE regulations, the EmSAT exam is required for specific applicants; please refer to the MOE’s website for more details)
• Recent EmSAT-English with a Minimum score of 1250, or valid Academic-IELTS 5.5, or valid TOEFL-IBT 71


Q. What does the course curriculum cover?
A. The programme provides students with state-of-the-art knowledge and competencies in Mathematics, Data Science and Machine Learning. It offers a carefully devised blend of traditional lecture/tutorial/lab tuition and more innovative, project-based learning. This produces graduates who are able to successfully apply their skills in the various fields of AI


Q. What is the course duration and schedule?
A. 3 years


Q. What are the opportunities after finishing the bachelors degree?
A. career-paths that could be undertaken by graduates of the programme are: Data Analyst/Scientist/Engineer, Machine Learning Engineer, Statistician, Quantitative Analyst (in Insurance and Finance), Developer in Machine Learning/AI, Computational Linguist/NLP Engineer, Business Intelligence Analyst, Business Analyst, Systems Analyst, Marketing/Operations Analyst, etc…


Q. Where is the degree recognized from?
A. The degree is awarded by Sorbonne University in Paris and recognized by UAE (CAA)


Q. Are there any scholarships?
• Emirati citizens receive the H.H. Sheikh Mohamed bin Zayed Al Nahyan scholarship grant covering tuition fees for the programme and a foundation year (if any)
• For non-Emirati students, academic excellence scholarships are offered, covering up to 75% of the tuition fee


Q. What is the application deadline?
A. 3 July 2022

Artificial intelligence is completely remodelling today’s societies to the point that many argue that it is fostering a fourth industrial revolution.

Advances in Machine Learning are profoundly transforming technology. In fact, and basing on recent discoveries in Mathematics and Data Science, complex algorithms imbedded in modern systems allow to accomplish more complex tasks (decision-support systems, human-machine interaction, intelligent agents, etc). Today, AI-based applications requiring a deep knowledge of Mathematics and Data Science can be found in many fields, ranging from Insurance and Finance, to Health and Medicine, to Environmental studies, to Exploration of Space, to Digital Humanities, etc…

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