PHD IN ARTIFICIAL INTELLIGENCE (AI)

Required Courses

  • Advanced Artificial Intelligence
  • Machine Learning
  • Statistical Machine Learning

Sample Elective Courses

  • Bayesian Machine Learning
  • Advanced Deep Learning
  • Deep Reinforcement Learning
  • Topics in Artificial Intelligence
  • Topics in Machine Learning
  • Parallel Programming
  • Introduction to Bayesian Networks
  • Natural Language Processing
  • Statistical Learning Models for Text and Graph Data
  • Perception and Information Processing for Robotics
  • Computer Vision
  • Introduction to Advanced Algorithmic Techniques

Program Learning Outcomes

  • 01
    Demonstrate thorough knowledge of the literature and a comprehensive understanding of scientific methods and techniques relevant to AI.
  • 02
    Demonstrate practical skills in building AI systems.
  • 03
    Critically apply theories, methodologies, and knowledge to address fundamental questions in AI.
  • 04
    Independently pursue research or innovation of significance in AI applications.
  • 05
    Demonstrate skills in oral and written communication sufficient for a professional career.
PHD

General Information

  • Credit structure:

    PhD: 21 credits

  • Normative Program Duration:

    PhD:

    Full-time: 3 years (those with a relevant research master’s degree), 4 years (those without a relevant research master’s degree)

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