Overview
According to research, the global AI market will expand at a compound annual growth rate of 42.2% from 2020 to 2027, reaching a value of $733.6 billion by 2027 [1]. Automotive, healthcare, retail, finance, and manufacturing are just a few of the many sectors served by the applications. Some of the tech giants that are currently heavily investing in research and development of AI are Amazon.com, Inc.; Google LLC; Apple Inc.; Facebook; IBM, and Microsoft. In order to foresee regional purchase habits, marketers employ AI-based algorithms and machine learning techniques. 70% of high-performing marketing teams claim that they have a clearly defined AI strategy, compared to only 35% of low-performing marketing teams [2]. Artificial Intelligence capabilities are built into the data management platform. The Customer Data Platform (CDP) uses machine learning algorithms to discover new customer data patterns and progressively expand with more learning data. Taking into account the aforementioned information on market growth, it's clear that AI competence will be a necessity in the near future. Machine learning engineers, AI data analysts, intelligence specialists, AI researchers, data scientists, and many more can all find career opportunities in the AI industry.
Adopting AI in public and business sectors is an essential part of the United Arab Emirates (UAE) plan to transform into a knowledge-based economy [3]. With the implementation of an integrated system that uses AI in critical sectors like transportation, healthcare, space exploration, renewable energy, water, technology, education, environment, and traffic, the UAE aims at becoming a world leader in AI by 2031, and with that comes a surge in demand for AI specialists in the mentioned fields [3]. According to a report by PwC, the Middle East stands to gain $320 billion from AI by 2030, or 2% of the total worldwide advantages. The UAE, followed by Saudi Arabia, is predicted to experience the highest rates of annual growth in the contribution of AI (from 20-34% each year) across the region [4].
Goals
- To improve skills in professional communication, problem solving, and numerical capabilities for decision making.
- To develop an understanding of the theory and complexities of computer science towards application and benefit of the organization and society at large.
- To develop an understanding of the legal, ethical and security issues associated with information technology in the workplace and in society.
- To develop higher order thinking and competitive skills and competencies of students through meaningful industry interaction, thereby improving their employability.
- To provide a conducive value-based learning environment to the students during their study and inculcate a habit of lifelong independent learning for continuous growth and development.
Program Educational Objectives
Students Outcomes (Program Learning Outcomes)
Admissions
Industries
IT Company
Software Company
Manufacturing
Telecommunication
Typical Job Titles
BI Developer
Data architect
Machine learning engineer
AI architect
Robotics engineer
Neural network developer
Cloud engineer
Web designer
Software engineer
Data scientist
Curriculum
Financial Support
In AY 2023-2024, more than 60% of the students received financial support towards their tuition fees.
Financial Support Options:
Meritorious Scholarship
MOU (Memorandum of Understanding) Scholarship
Sports Scholarship
Youth Empowerment Scholarship
