Program Overview

Master of Science in Artificial Intelligence and Data Science

The Master of Science in Artificial Intelligence and Data Science (MSAIDS) at AUE is a postgraduate degree that prepares students for the profound impact of Artificial Intelligence (AI) and Data Science on society, industries, and human potential. This program offers more than technical mastery, providing a transformative academic journey that combines rigorous scientific foundations, hands-on experience, and ethical foresight.

Overview

In an era defined by rapid digital transformation, the ability to harness the power of intelligent machines and vast amounts of data has become one of the most valuable skillsets of the 21st century. The MSAIDS program is designed to prepare students for real-world challenges, equipping them with specialized knowledge and skills to solve complex problems.

Program Details

• Program Mission: To develop highly skilled AI and Data Science professionals capable of designing intelligent systems, analyzing complex datasets, and making ethical, data-driven decisions that transform industries, drive innovation, and serve society.
• Program Learning Outcomes: Graduates will be able to identify, analyze, and define complex AI and Data Science problems, apply advanced principles of computing, mathematics, and domain-specific knowledge to develop effective and innovative solutions, and demonstrate an understanding of ethical, legal, and societal implications of AI and Data Science.

Program Goals

• Goal 1: Equip students with specialized knowledge and skills to solve real-world challenges.
• Goal 2: Instill ethical practices and promote responsible AI.
• Goal 3: Foster lifelong learning and adaptability to evolving technologies.
• Goal 4: Develop leadership and interdisciplinary collaboration skills.
• Goal 5: Promote innovation and research for impactful solutions.

Career Opportunities

Graduates of the MSAIDS program will be prepared to pursue roles such as:

• Data Scientist
• Machine Learning Engineer
• AI Researcher
• Business Intelligence Specialist
• Deep Learning Architect
• AI Policy and Ethics Advisor
• Cloud AI Developer
• Intelligent Systems Designer

These roles span industries including finance, healthcare, government, manufacturing, cybersecurity, retail, and transportation.

Admission Requirements

Admission to the MSAIDS program is governed by AUE's Graduate Admission Policy and Procedure and is fully compliant with the Commission for Academic Accreditation (CAA). Applicants holding a recognized bachelor's degree in Artificial Intelligence, Computer Science, Computer Engineering, Software Engineering, Information Technology, Computer Information Systems, Data Science, Electrical/Electronic Engineering, or a closely related field, with a cumulative GPA of 3.0 or higher (on a 4.0 scale), are granted regular admission.

Program Structure

• Duration: 2 Years
• Yearly Tuition Fees: AED 60,000/USD 16,338 (VAT 5% inclusive, excluding service fees)
• Scholarships: Up to 50% available

Courses

Core Courses

1. Data Preparation and Statistical Analysis [3 Credit Hours]
2. Big Data Analytics and Mining [3 Credit Hours]
3. Ethics and Governance in Artificial Intelligence [3 Credit Hours]
4. Research Methods [3 Credit Hours]
5. Machine Learning Foundations and Applications [3 Credit Hours]
6. Advanced Deep Learning Technologies [3 Credit Hours]

Elective Courses

1. Digital Image Processing [3 Credit Hours]
2. Advanced Natural Language Processing and Transformers [3 Credit Hours]
3. Cloud Computing for Data-Driven AI Applications [3 Credit Hours]
4. Intelligent Decision Support Systems [3 Credit Hours]
5. Intelligent and Autonomous Agents [3 Credit Hours]
6. Cognitive and Autonomous Robotics [3 Credit Hours]
7. Special Topics in AI and Data Science

Thesis

1. Thesis I [3 Credit Hours]
2. Thesis II [3 Credit Hours]

Recommended Study Plan

Students can join at the beginning of any semester (September for Fall, January for Spring, May for Summer). The program director, Prof. Faruq Al-Omari, oversees the academic progression and guidance of students throughout the program.