Students
مصاريف
غير متاح
تاريخ البدء
غير متاح
وسيلة الدراسة
في الحرم الجامعي
مدة
3 years

لقد شاهدت 3/5 برامج/جامعات. يمكنك مشاهدة حتى 5 برامج/جامعات

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حقائق البرنامج
تفاصيل البرنامج
درجة
دكتوراه
تخصص رئيسي
الذكاء الاصطناعي | تصميم تجربة المستخدم
التخصص
تقنيات المعلومات والاتصالات
نوع التعليم
في الحرم الجامعي
توقيت
لغة الدورة
إنجليزي
عن البرنامج

نظرة عامة على البرنامج


Doctor of Philosophy in Human-Computer Interaction

The Doctor of Philosophy in Human-Computer Interaction (HCI) advances the frontiers of HCI by preparing students for independent, original research. The program provides a deep understanding of the theoretical, methodological, and technical aspects of HCI. Graduates are positioned to lead and conduct independent, original research in HCI and are prepared for careers in research, industry, and entrepreneurial ventures, with an advanced appreciation for the ethical, societal, and sustainability concerns of technology development.


Program Overview

  • Mode: Full-time
  • Credits: 60
  • Location: On campus

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


Program Learning Outcomes

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


  • Demonstrate expert knowledge of fundamental and advanced human-computer interaction (HCI) concepts through the design of novel research agendas at the intersection of HCI and artificial intelligence (AI).
  • Conduct independent research to identify and effectively solve novel research problems in socially impactful real-life applications of HCI and AI.
  • Deliver on collaborative HCI research projects, innovating in and applying advanced human-centered design to create innovative solutions.
  • Initiate, conduct, and communicate original scholarly work, expertly conveying complex ideas across diverse formats and channels.
  • Initiate and lead complex collaborative, cross-disciplinary partnerships and research projects that advance AI-powered human-centric technology innovations.
  • Demonstrate ability to navigate the ethical, social, cultural, and environmental implications of AI, in the context of organizational governance and policy.

Completion Requirements

The minimum degree requirements for the Doctor of Philosophy in Human-Computer Interaction program is 60 credits, distributed as follows:


  • Core courses: 16 credits
  • Electives: 8 credits
  • Internship: 2 credits
  • Advanced research methods: 2 credits
  • Research thesis: 32 credits

Core Courses

The Doctor of Philosophy in Human-Computer Interaction program is primarily a research-based degree. The purpose of coursework is to equip students with the right skill set, so they can successfully accomplish their research project (thesis).


Code Course Title Credit Hours
HCI899 Human-Computer Interaction Ph.D. Research Dissertation 32
HCI7101 Introduction to Neuroscience, Psychology, Human Factors, and HCI Theory and Models 4
HCI7102 User Experience (UX), Interaction Design (IxD), and Service Design: Core Concepts, Applications and Evaluation Methods 4
HCI7103 Design Tools, Design Techniques, and Design Platforms 4
HCI7104 Universal Design for Accessible and Inclusive Interactive AI 4
INT799 Internship 2
RES799 Graduate Research Methods 2

Elective Courses

Students will select a minimum of two elective courses, with a total of eight credit hours. One must be selected from a list based on interest, proposed research thesis, and career aspirations, in consultation with their supervisory panel.


Code Course Title Credit Hours
AI7101 Machine Learning with Python 2
AI7102 Introduction to Deep Learning 2
ENT799 Entrepreneurship in Action 2
HCI8505 Next-generation interactive AI: Trends and Emerging Technologies 4
HCI8506 From Data and Information Visualization to Operational Insights 4
HCI8507 Designing Across Diverse Socio-Economic and Cultural Contexts 4
HCI8508 AI, Creativity, and the Digital Arts 4
HCI8509 Ethics, Regulation, and Social Responsibility for Human-Centered AI 4
ML7101 Probabilistic and Statistical Inference 2
ML8101 Foundations of Machine Learning 2
MTH7101 Mathematical Foundations of AI 2

Admission Criteria

MBZUAI accepts applicants who hold a completed degree in a STEM field such as computer science, electrical engineering, computer engineering, mathematics, physics, or other relevant science or engineering major that demonstrates academic distinction in a discipline appropriate for the doctoral degree.


  • Completed degree: Bachelor's degree with a minimum CGPA of 3.5 (on a 4.0 scale) or equivalent, or Master's degree with a minimum CGPA of 3.0 (on a 4.0 scale) or equivalent.
  • English language proficiency: IELTS Academic, TOEFL iBT, PTE Academic, Cambridge C1 Advanced, Cambridge C2 Proficiency, or Duolingo English Test.
  • Graduate Record Examination (GRE): Submission of GRE scores is optional for all applicants but will be considered a plus during the evaluation.
  • Statement of purpose: A word essay explaining why you would like to pursue a graduate degree at MBZUAI.
  • Referee recommendation: Applicants will be required to nominate referees who can recommend their application.
  • Screening exam: An online screening exam that assesses knowledge and skills relevant to your chosen field.

Admission Process and Key Dates

Only one application per admission cycle must be submitted; multiple submissions are discouraged.


Application Portal Opens Final Deadline Decision Notification Date Offer Response Deadline
November 14, 2025 February 27, 2026 April 15, 2026 May 1, 2026

Study Plan

Students are expected to complete coursework in the first year of degree and focus on the research and thesis writing in the subsequent three years.


Typical Study Plan

  • Semester 1: Introduction to Neuroscience, Psychology, Human Factors, and HCI Theory and Models, User Experience (UX), Interaction Design (IxD), and Service Design: Core Concepts, Applications, and Evaluation Methods, and one elective.
  • Semester 2: Design Tools, Design Techniques, and Design Platforms, Universal Design for Accessible and Inclusive Interactive AI, and one elective.
  • Summer: Ph.D. Internship (up to four months).
  • Semester 3: Introduction to Research Methods, Human-Computer Interaction Ph.D. Research Thesis.
  • Semester 4-8: Human-Computer Interaction Ph.D. Research Thesis.
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