Master of Science in Artificial Intelligence (AI)

Program Overview

The Master of Science in Artificial Intelligence at AUK is a rigorous graduate program designed to develop next-generation AI leaders and innovators. The program combines deep theoretical knowledge with practical, project-based experience, equipping graduates to contribute meaningfully to AI research, development, and application across sectors.

Why Study AI at AUK?

  • State-of-the-Art AI Lab: Gain hands-on experience in a dedicated AI lab with high-performance computing resources and industry-standard tools.
  • Industry-Driven Curriculum: Tackle real-world problems through project-based learning in healthcare, finance, education, and more.
  • Interdisciplinary Focus: Master machine learning, deep learning, computer vision, NLP, and ethics in AI.
  • Career Readiness: Graduate prepared for high-impact roles in research, academia, and industry.

Program Highlights

  • Duration: 18 – 24 Months (Full-time)
  • Credit Hours: 30
  • Capstone or Thesis Option
  • Evening and Weekend Classes
  • Start Term: Fall 2025

Curriculum

    Year 1 – Fall

  • Machine Learning
  • Data Mining
  • Elective 1
    Year 1 – Spring

  • Artificial Intelligence
  • Deep Learning and Neural Networks
  • Elective 2
    Year 1 – Summer

  • Project-Based Course 1
  • Project-Based Course 2
    Year 2 – Fall

  • Thesis/Capstone (6 Credits)

Capstone/Thesis

The program culminates in a capstone or thesis project addressing real-world challenges or contributing original research in AI. Students work under faculty supervision and utilize the AI Lab’s advanced resources to design, implement, and defend their work.

Admission Requirements

  • Bachelor’s degree in Computer Science, IT, or related field
  • GPA of 2.5/4.0 or 60% minimum
  • English Proficiency: TOEFL ITP 537+, TOEFL iBT 75+, IELTS 6.0, or equivalent
  • Successful interview
  • Recommended: Prior coursework or experience in AI, programming, and mathematics

Prerequisite Knowledge

    Applicants must demonstrate competency in:

  • Programming (Python, C++, or Java)
  • Linear Algebra, Calculus, Probability, and Statistics
  • Data Structures and Algorithms

Note: Students lacking these competencies may be admitted conditionally and required to complete specific undergraduate courses.

Facilities

    AUK’s AI Lab features:

  • High-performance GPUs and computing clusters
  • Industry-grade AI tools and frameworks (e.g., TensorFlow, PyTorch)
  • Dedicated project spaces for team collaboration and innovation

Career Opportunities

    Graduates will be prepared for roles such as:

  • Machine Learning Engineer
  • AI Researcher
  • Data Scientist
  • NLP Engineer
  • Computer Vision Specialist
  • AI Policy Analyst
  • PhD or advanced research positions

Ready to Lead in AI?

Join a future-focused AI program at the heart of the Middle East. Apply today and shape the intelligent systems of tomorrow.