M.Sc. in Artificial Intelligence Systems

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PROGRAM LEVEL

The Master of Artificial Intelligence  program is a platform for Leaders, executives, directors, managers,  and  practitioners who are seeking to better integrate AI into their business to improve performance, innovation, and competitive positioning.  The most important aspect of the new proposed M.Sc. in Artificial Intelligence Systems is that it reflects the local and regional needs for embarking on new tools for engineering and science demands. It also provides an advanced understanding of different aspects of use of AI tools for private and public applications in terms of design, management, maintenance and service provision. The program has well established theoretical knowledge and practical skills related to modern AI. Careers: As a graduate, you’ll have the skills for a career in areas such as: Healthcare, Airports, Security, Transportations, Industry, …  , The MSc is also an ideal entry point for doctoral research in the fields of AI uses and advanced systems.

Elective Courses:

In addition, the program has been designed to make use of AI in engineering and non-engineering future (4th IR) and (ICT) applications.  Given this fact, the proposed program is a four-semester postgraduate M.Sc. program, that will be suitable for decision makers-engineers, that make use of such new trends in recent computations, and methods related to engineering domains and the 4th IR applications.  This master’s program focuses on three aspects in particular: M.Sc. in Artificial Intelligence Systems.

  • Technological Innovations: Participants acquire a basic technical knowledge in the area of alternative analysis and decision makings. The fast-changing nature and development of this sector are specifically considered. Focal points are Data Mining, Data Analysis-Modeling, Decision Based Systems, IoT, and Tools of Machine Learning.
  • AI Management: Convey skills, such as project development, project financing, project operation, and knowledge of business management. Furthermore, participants obtain a detailed market overview on selected countries leading in use of AI for different Sectors.
  • General Economic and Legal Framework: Participants obtain knowledge on the general economic and legal frameworks of national directives and legal provisions of selected international countries.

Covering Topics Related of AI use in social aspects, education, engineering, health, finance, government, manufacturing, retail, transport, … and other related fields.

College of Engineering Booklet

PDF, 21.7 MB , 52 Pages

ABOUT THE PROGRAM

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DETAILED STUDY PLAN

Download Detailed Study Plan     (PDF، 0.4 MB، 6 Pages).

PROGERAM OBJECTIVES

Upon graduation, the students should be able to:

  1. Graduate students in Artificial Intelligence Systems will have in-depth knowledge of modern methods of analysis, design, and management of artificial intelligence systems for various engineering applications.
  2. To provide a thorough knowledge in the principles of Artificial Intelligence Systems for engineering applications.
  3. Providing knowledge that directly usable in very diverse application fields ranging from Industry 4.0, complex corporate processes automation, autonomous driving, finance, health, and environment.
  4. Graduate students will have an ability to develop novel engineering solutions for important regional and global Artificial Intelligence Systems building, and to meet the region’s needs for AI through carrying out fundamental and applied research using appropriate AI design methods and analysis tools.
  5. To broaden and enhance student’s skills on efficient problem solving, critical thinking, team working and professional communication.
  6. Developing in student’s leadership skills, so they can play principal roles in academic and industrial organizations in the engineering areas.
  7. Enable learners to pursue Ph.D. and other advanced postgraduate studies.

PROGRAM INTENDED LEARNING OUTCOMES

a) Demonstrate an advanced understanding of the basic principles of Artificial Intelligence Applications.

b) Demonstrate engineering competency in Artificial Intelligence Applications areas.

c) Demonstrate competency in undertaking in‐depth research, design, analysis, or experimental investigation of some engineering problems involving Artificial Intelligence Applications.

d) Demonstrate their ability to communicate AI related engineering ideas and techniques.

e) Demonstrate a mathematical competency above that of an undergraduate engineering student.