Master of Science in AI and Data Science
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Overview
Master the Future of Intelligence and Innovation
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 Master of Science in Artificial Intelligence and Data Science (MSAIDS) at AUE is not just a postgraduate degree, it’s a launchpad for visionary thinkers, problem-solvers, and change-makers who are ready to lead the next wave of technological evolution.
Artificial Intelligence and Data Science are at the core of today’s most groundbreaking advancements—from predictive healthcare and autonomous vehicles to smart cities, financial forecasting, and intelligent robotics. Our MSAIDS program is designed to prepare students for the profound impact these technologies are having—and will continue to have—on society, industries, and human potential.
This program offers more than technical mastery. It is a transformative academic journey that combines rigorous scientific foundations, hands-on experience, and ethical foresight. Students will engage with complex datasets, develop intelligent systems, master machine learning and deep learning techniques, and explore the legal, societal, and ethical dimensions of AI in a globalized world. Whether your goal is to lead cutting-edge R&D, revolutionize industry practices, or contribute to AI policy and governance, this program provides the tools, mindset, and credentials to get you there.
At AUE, we are not merely educating professionals, we are cultivating the next generation of leaders who will shape the intelligent systems that shape our future.
This is where your journey into the world of advanced intelligence begins. Are you ready to lead it?
What Makes Our Program Unique?
At AUE, we don’t just teach AI and Data Science — we cultivate innovators who will define its next frontier. Here’s what sets our program apart:
- Cutting-Edge Curriculum: A strategically designed sequence of courses that covers data engineering, machine learning, deep learning, ethics, research methodogies, and specialized topics in computer vision, NLP, decision systems, and intelligent agents.
- Hands-On Thesis Experience: Our two-stage thesis journey enables students to dive into real-world research and contribute original work to the field under expert supervision.
- Future-Ready Specializations: With electives in cloud-based AI, robotics, digital image processing, and cognitive systems, students gain practical skills aligned with industry’s evolving needs.
- Global Perspective, Local Relevance: We prepare students to address global challenges while responding to UAE and regional demands for AI innovation, ethical governance, and data-driven decision-making.
- Expert Faculty & Research Culture: Learn from faculty actively engaged in groundbreaking research and supported by a thriving academic ecosystem that values innovation and collaboration.
Who Should Join This Program?
This program is ideal for professionals and graduates with a background in computing, engineering, mathematics, or related fields who want to become leaders in AI, machine learning, and data science. Whether you aspire to be a data scientist, AI engineer, or applied researcher, this is your launchpad.
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.
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, applying advanced principles of computing, mathematics, and domain-specific knowledge to develop effective and innovative solutions.
- Design, develop, and evaluate sophisticated AI and Data Science models, algorithms, and systems that address real-world challenges, considering factors such as scalability, performance, and constraints.
- Apply advanced mathematical, statistical, and computational methods to model data, derive insights, and create state-of-the-art machine learning and AI-based solutions.
- Demonstrate an understanding of ethical, legal, and societal implications of AI and Data Science, making informed decisions that promote fairness, transparency, and responsible use of data.
- Develop leadership skills to lead interdisciplinary teams effectively, communicate technical information and data-driven insights clearly, and collaborate efficiently in AI and Data Science projects.
- Continuously acquire and apply new knowledge in AI and Data Science, adapting to evolving technologies, methodologies, and industry standards with an emphasis on research and innovation.
ADMISSION REQUIREMENTS
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GRADUATION REQUIREMENTS
For graduate degree completion, graduate students must satisfy the following requirements:
- Earn a minimum CGPA of 2.00 on a scale of 4.00.
- Successfully complete all courses as described in the study plan.
- The Degree Completion requirements must be met within the timeframe of the program.
- Successfully complete the “Thesis” course.
ACCREDITATION
