PROGRAM LEVEL
The Master of Science in Applied Artificial Intelligence is designed for individuals from non-IT backgrounds seeking to leverage Artificial Intelligence (AI) and intelligent systems in their original fields. This program combines knowledge and practical skills in AI, and data analysis. Students will engage in hands-on projects and collaborative learning, preparing them to tackle real-world challenges across various domains.
By equipping graduates with essential AI skills, the program empowers them to implement innovative solutions within their current fields or pursue new career opportunities in the IT sector. The program aims to foster professionals who can leverage AI to enhance organizational effectiveness, drive innovation, and positively impact their communities.
Moreover, the program prepares graduates for advanced academic pursuits, such as PhD programs, enabling them to engage in cutting-edge research and contribute to technological advancements.
ABOUT THE PROGRAM
DETAILED STUDY PLAN
- Download Detailed Study Plan- 2025   (PDF، 0.3 MB، 3 Pages).
PROGRAM OBJECTIVES
Graduates of the Master of Science in Applied Artificial Intelligence will be well-prepared to:
- Apply advanced Artificial Intelligence knowledge, techniques and tools to analyze, design, model, and solve complex problems within their domain of expertise, with consideration for ethical, societal, and business implications.
- Engage in research and innovation by integrating multidisciplinary knowledge across intelligent systems to address emerging challenges.
- Demonstrate a sustained commitment to lifelong learning and professional advancement, driving innovation and fostering meaningful contributions to the evolving field of applied artificial intelligence.
PROGRAM INTENDED LEARNING OUTCOMES
Graduates of the program will be able to:
- Apply advanced principles of artificial intelligence and data-driven methodologies, to design and implement innovative solutions for complex, real-world problems across diverse domains.
- Critically synthesize and evaluate cutting-edge theories, models, and methodologies of Artificial Intelligence, demonstrating a deep and integrated understanding of their applications in modern computational systems.
- Apply advanced artificial intelligence knowledge in specialized and emerging areas such as machine learning, natural language processing, and intelligent systems.
- Analyze and interpret high-dimensional, complex data sets using advanced machine learning, statistical, and computational techniques to uncover meaningful patterns, support data-driven decision-making, and develop intelligent predictive models.
- Evaluate intelligent software systems and applications, leveraging modern frameworks, paradigms, and technologies relevant to multidisciplinary domains.
Communicate technical information effectively to diverse audiences. - Develop a research project, showing individual initiatives as well as teamwork skills.
