Master of Science in Artificial Intelligence

Introduction

The 21st century is witnessing the Fourth Industrial Revolution, driven by rapid advancements in Artificial Intelligence (AI), impacting almost every sector. AI technologies are increasingly being integrated into various domains such as search engines, finance, healthcare, and autonomous vehicles. In response, the "Master's in Artificial Intelligence" program was launched at the College of Computer Science and Information Technology to provide a solid foundation and specialized training in key areas such as machine learning, computer vision, and data analysis. The program is taught by multidisciplinary experts, preparing students to meet growing industry demands and explore future AI innovations.

Program Mission

A graduate specialized in Artificial Intelligence keeps pace with the global development in this field and meets with the need of the local and regional labor market.

Program Goals

The MSAI program provides the tools to understand how Machine Intelligence works as well as to devise intelligent solutions and smart systems for tomorrow's world thereby ensuring multifaceted career paths for the potential candidates. The objectives of the MSAI program is to prepare the graduate with:

• Understanding the depth and breadth of the technologies of Artificial Intelligence and identifying the opportunities where these technologies can be applied in the world today.
• Learning how to use high-level languages and software in order to develop real applications based on AI technologies as well as understanding the problems of implementing such applications in practice.
• Guiding the proposal of AI-based solutions, considering the ethical and legal aspects and the economic and social implications.

Student (Program) Outcomes

Upon completion of the degree, the graduate of the MSAI program would be able to:

• Demonstrate acquaintance of the use of AI algorithms and processes in one of the knowledge areas: machine learning, data analytics and knowledge management, vision, intelligent interaction, knowledge representation and reasoning, and robotics and agent-based systems.
• Model the human behavior, develop Human-AI systems, and evaluate their performance.
• Formalize data-intensive problems in data science and artificial intelligence in terms of the underlying statistical and computational principles.
• Apply machine learning algorithms in technological and industrial settings, in particular, to draw inferences from data and help automate the development of AI systems.
• Use a significant range of skills, representations, and practices within the domains of Artificial Intelligence, and be able to apply and evaluate them in applications as well as develop their own.
• Demonstrate an awareness of professional and research issues in the AI discipline as well as understand the ethical concerns in developing responsible AI solutions and systems.