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Master of Science in Artificial Intelligence

Introduction

The Master of Science in Artificial Intelligence (MSCAI) program aims to provide foundational and advanced knowledge to graduate students in topics related to Artificial Intelligence (AI). The program accepts students from relevant computing undergraduate programs after enabling them through bridging courses before proceeding to advanced program topics.

Program Objectives

Upon successful completion of the program, students will be able to:

• Integrate scientific and technological principles that underlie the field of Artificial Intelligence.
• Apply the research process through critical evaluation of AI solutions to practical problems.
• Use professional tools and modern techniques to identify, design, and develop AI solutions.
• Communicate technical information effectively in both written and oral forms.
• Review and critically evaluate recent developments and research topics in the field of Artificial Intelligence.
• Identify and apply legal and ethical principles that govern the field of Artificial Intelligence.

Program Requirements

The program requires the completion of a core research component culminating in a formal thesis (equivalent to 9 credit hours) and includes mandatory courses that add a foundational knowledge base in Artificial Intelligence before choosing elective courses. These electives provide in-depth topics in the specialization.

Admission Requirements

The rules and regulations of the College of Graduate Studies are articulated in two publications: the Graduate Studies Bylaws and the Executive Regulations for the Master's Programs. Based on these rules and regulations, the Graduate Studies Committee in the Department of Computer Science grants regular enrollment for applicants to the MSCAI program who satisfy the following academic qualifications and criteria:

1. The applicant must have a Bachelor's degree or its equivalent from a recognized university with a GPA of not less than 3.0 out of 4.0.
2. The degree held by the applicant must be in a subject that qualifies them for the field of specialization they wish to study, consistent with the study plan for that specialization.
3. Applicants may be accepted into a program that does not match their previous specialization based on the recommendation of the department council, college council, and the approval of the Graduate Studies Council.
4. The applicant must have attended not less than 75% of the required period.
5. English language proficiency is required.

Program Structure

• Compulsory Courses (15 credit hours)
  • Advanced Programming
  • Advanced Artificial Intelligence
  • Machine Learning
  • Foundations of Data Science
  • Research Methodology
• Elective Courses (9 credit hours)
  • Evolutionary Computing
  • Computer Vision & Image Processing
  • Data Mining
  • Computational Geometry
  • Natural Language Processing
  • Directed Studies
  • Computational Robotics
  • Applications of Deep Learning Networks
  • Topics in Machine Learning
  • Topics in AI
  • Applied Human Computer Interaction
  • Big Data & Data Analytics
• Thesis in AI (9 credit hours)

Study Plan

The study plan consists of compulsory courses, elective courses, and a thesis. The total credit hours required for the program are 33.

College and Department

The program is offered by the College of Computing and Informatics, Department of Computer Science.

Language of Instruction

The language of instruction is English.

Duration and Mode of Study

The program duration is 2-4 years, and it is offered on a full-time and part-time basis.

Campus

The program is located on the university's main campus.

Credits and Duration

The program requires 33 credit hours, which includes 24 credit hours of coursework and 9 credit hours for the thesis. The duration of the program is typically 2-4 years.