Doctor of Philosophy in Computer Vision

General

Program Description

Doctor of Philosophy in Computer Vision

Upon completion of the program requirements, the graduate will be able to:

  1. Master the fundamental knowledge of computer vision and develop expertise in several specialized areas of research in computer vision.
  2. Grow expertise in comprehending existing literature, apply reasoning, and master the necessary skills and techniques to develop novel ideas that are recognized by the experts of the computer vision discipline.
  3. Apply advanced problem-solving skills to analyze, design and execute innovative solutions for the existing and/or new problems faced in both industry and academia.
  4. Highly skilled in initiating, managing and completing technically challenging computer vision projects and be able to clearly communicate concepts, highly complex ideas and key findings in the form of technical reports, scientific publications and oral presentations at relevant technical venues.
  5. Become an expert in selecting and using programming tools, libraries, and other relevant resources to solve real-world computer vision problems.
  6. Develop an advanced ability to work independently with substantial authority or in team collaboration with professional integrity to complete highly challenging computer vision projects in a timely manner.
  7. Develop a deep understanding of the existing body of knowledge and the ability to develop new knowledge in computer vision that makes students suitable for a role in academia or industry.
  8. Practice research ethics and commit to professional responsibilities while conducting cutting edge advancements in computer vision discipline.
  9. Understand legal, ethical, environmental and socio-cultural ramifications of computer vision technologies, and be able to take a lead in making informed and fair decisions on complex issues.

The minimum degree requirements for the Ph.D. in Computer Vision are 59 Credits, distributed as follows:

  • Core Courses: 4 Courses (15 Credit Hours)
  • Elective Courses: 2 Courses (8 Credit Hours)
  • Research Thesis: 1 Course (36 Credit Hours)

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Core Courses

Ph.D. in Computer Vision is primarily a research-based degree. The purpose of coursework is to equip students with the right skillset, so they can successfully accomplish their research project (thesis). Students are required to take COM701, as a mandatory course. They can select three core courses from a concentration pool of eight in the list provided below:

Code Course Title Credit Hours
COM701 Research Communication and Dissemination 3
CV701 Human and Computer Vision 4
CV702 Geometry for Computer Vision 4
CV703 Visual Object Recognition and Detection 4
CV704 Advanced Computer Vision 4
CV705 Advanced 3D Computer Vision 4
CV706 Neural Networks for Object Recognition and Detection 4
AI701 Artificial Intelligence 4
AI702 Deep Learning 4

Elective Courses

Students will select a minimum of two elective courses, with a total of eight (or more) credit hours (CH) from a list of available elective courses based on interest, proposed research thesis, and career perspectives, in consultation with their supervisory panel. The elective courses available for the Ph.D. in Computer Vision are listed in below table:

Code Course Title Credit Hours
MTH701 Mathematical Foundations for Artificial Intelligence 4
MTH702 Optimization 4
CS701 Advanced Programming 4
CS702 Data Structures and Algorithms 4
DS701 Data Mining 4
DS702 Big Data Processing 4
ML701 Machine Learning 4
ML702 Advanced Machine Learning 4
ML703 Probabilistic and Statistical Inference 4
NLP701 Natural Language Processing 4
NLP702 Advanced Natural Language Processing 4
NLP703 Speech Processing 4
HC701 Medical Imaging: Physics and Analysis 4

Research Thesis

The Ph.D. thesis exposes students to cutting-edge and unsolved research problems in the field of Computer Vision, where they are required to propose new solutions and significantly contribute to the body of knowledge. Students pursue an independent research study, under the guidance of a supervisory panel, for a period of 3-4 years.

Code Course Title Credit Hours
CV799 Ph.D. Research Thesis 36
Last updated October 2019

About the School

Overview The Mohamed bin Zayed University of Artificial Intelligence (MBZUAI) in Abu Dhabi, is a graduate-level, research-based academic institution that offers specialized degree programs for local a... Read More