The Hong Kong University of Science and Technology

Master of Philosophy and Doctor of Philosophy Programs in Artificial Intelligence (Full time)

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Course Information

Registration period
8 Apr 2022 (Fri) - 8 Apr 2024 (Mon)
Price
-
Study Mode
Duration
2 Year(s)
Language
English
Location
-
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Course Overview

The Artificial Intelligence Thrust Area under the Information Hub at HKUST(GZ) is established to project and grow HKUST’s strength in AI and contribute to the nation’s drive to become a world leader in AI. The Master of Philosophy (MPhil) and Doctor of Philosophy (PhD) Programs in Artificial Intelligence are offered as an integral part of the endeavor to establish a world-renowned AI research center with the mission to advance applied research in AI as well as fundamental research relevant to the application areas.

The MPhil Program aims to train students in independent and interdisciplinary research in AI. An MPhil graduate is expected to demonstrate sound knowledge in the discipline and is able to synthesize and create new knowledge, making a contribution to the field.

The PhD Program aims to train students in original research in AI, and to cultivate independent, interdisciplinary and innovative thinking that is essential for a successful career in AI-related industry or academia. A PhD graduate is expected to demonstrate mastery of knowledge in the chosen discipline and is able to synthesize and create new knowledge, making original and substantial scientific contributions to the discipline.

What You’ll Learn

Minimum Credit Requirement

MPhil: 15 credits
PhD: 21 credits

Credit Transfer

Students who have taken equivalent courses at HKUST or other recognized universities may be granted credit transfer on a case-by-case basis, up to a maximum of 3 credits for MPhil students, and 6 credits for PhD students.

Cross-disciplinary Core Courses

2 credits

IIMP 6010Cross-disciplinary Research Methods I2 Credit(s)
IIMP 6020Cross-disciplinary Research Methods II2 Credit(s)
IIMP 6030Cross-disciplinary Design Thinking I2 Credit(s)
IIMP 6040Cross-disciplinary Design Thinking II2 Credit(s)

All students are required to complete either IIMP 6010 or IIMP 6030. Students may complete the remaining courses as part of the credit requirements, as requested by the Program Planning Committee.

Hub Core Courses
4 Credits

Students are required to complete at least one Hub core course (2 credits) from the Information Hub and at least one core course (2 credits) from other Hubs.

Information Hub Core Course

INFH 5000Information Science and Technology: Essentials and Trends2 Credit(s)

Other Hub Core Courses

FUNH 5000Introduction to Function Hub for Sustainable Future2 Credit(s)
SOCH 5000Technological Innovation and Social Entrepreneurship2 Credit(s)
SYSH 5000Model-Based Systems Engineering2 Credit(s)

Courses on Domain Knowledge

MPhil: minimum 9 credits of coursework
PhD: minimum 15 credits of coursework

Under this requirement, each student is required to take one of the required courses, and other electives to form an individualized curriculum relevant to the cross-disciplinary thesis research.

For PhD, students must complete the AI required course in the first year of their study and obtain a B+ or above. Students who cannot meet the B+ requirement have to retake the course or take another AI required course in the second year to make it up.

Only one Independent Study course may be used to satisfy the course requirements.

To ensure that students will take appropriate courses to equip them with needed domain knowledge, each student has a Program Planning Committee to approve the courses to be taken soonest after program commencement and no later than the end of the first year. Depending on the approved curriculum, individual students may be required to complete additional credits beyond the minimal credit requirements.

Required Course List

Students are required to take one of the required courses listed below:

COMP 5211Advanced Artificial Intelligence3 Credit(s)
COMP 5212Machine Learning3 Credit(s)
MATH 5470Statistical Machine Learning3 Credit(s)

Sample Elective Course List

To meet individual needs, students will be taking courses in different areas, which may include but not limited to courses and areas listed below.

AIAA 5022Bayesian Machine Learning3 Credit(s)
AIAA 5024Advanced Deep Learning3 Credit(s)
AIAA 5025Deep Reinforcement Learning3 Credit(s)
AIAA 6011Topics in Artificial Intelligence3 Credit(s)
AIAA 6021Topics in Machine Learning3 Credit(s)
AIAA 6090#Research Internship0 Credit(s)
AIAA 6091Independent Studies3 Credit(s)
COMP 5112Parallel Programming3 Credit(s)
COMP 5213Introduction to Bayesian Networks3 Credit(s)
COMP 5221Natural Language Processing3 Credit(s)
COMP 5222Statistical Learning Models for Text and Graph Data3 Credit(s)
COMP 5223Perception and Information Processing for Robotics3 Credit(s)
orELEC 5670Robot Perception and Learning3 Credit(s)
COMP 5421Computer Vision3 Credit(s)
COMP 5711Introduction to Advanced Algorithmic Techniques3 Credit(s)
COMP 6211EOptimization for Machine Learning3 Credit(s)
DSAA 5002Big Data Computing3 Credit(s)
DSSA 5015Social Computing3 Credit(s)
INTR 6000Special Topics in Intelligent Transportation3 Credit(s)
ISOM 5370Technology and Innovation Management2 Credit(s)
MFIT 5001AI for FinTech2 Credit(s)
MFIT 5004Financial Data Mining2 Credit(s)
SEEN 5320Information Technology in Advanced Energy Systems3 Credit(s)
SMMG 6000Special Topics in Smart Manufacturing3 Credit(s)
UGOD 5040Urban Data Acquisition and Analysis3 Credit(s)

#: Full-time PhD students are encouraged to take at least 6 months of AI related research internship.

Additional Foundation Courses
Individual students may be required to take foundation courses to strengthen their academic background and research capacity in related areas, which will be specified by the Program Planning Committee. The credits earned cannot be counted toward the credit requirements.

Graduate Teaching Assistant Training
PDEV 6800Introduction to Teaching and Learning in Higher Education0 Credit(s)

All full-time RPg students are required to complete PDEV 6800. The course is composed of a 10-hour training offered by the Center for Education Innovation (CEI), and session(s) of instructional delivery to be assigned by the respective departments. Upon satisfactory completion of the training conducted by CEI, MPhil students are required to give at least one 30-minute session of instructional delivery in front of a group of students for one term. PhD students are required to give at least one such session each in two different terms. The instructional delivery will be formally assessed.

Professional Development Course Requirement
PDEV 6770Professional Development for Research Postgraduate Students1 Credit(s)

Students are required to complete PDEV 6770. The 1 credit earned from PDEV 6770 cannot be counted toward the credit requirements.

PhD students who are HKUST MPhil graduates and have completed PDEV 6770 or other professional development courses offered by the University before may be exempted from taking PDEV 6770, subject to prior approval of the Program Planning Committee.

INFH 6780Career Development for Information Hub Students1 Credit(s)

Students are required to complete INFH 6780. The 1 credit earned from INFH 6780 cannot be counted toward the credit requirements.

PhD students who are HKUST MPhil graduates and have completed INFH 6780 or other professional development courses offered by the University before may be exempted from taking INFH 6780, subject to prior approval of the Program Planning Committee.

English Language Requirement
LANG 5000Foundation in Listening & Speaking for Postgraduate Students1 Credit(s)

Full-time RPg students are required to take an English Language Proficiency Assessment (ELPA) Speaking Test administered by the Center for Language Education before the start of their first term of study. Students whose ELPA Speaking Test score is below Level 4, or who failed to take the test in their first term of study, are required to take LANG 5000 until they pass the course by attaining at least Level 4 in the ELPA Speaking Test before graduation. The 1 credit earned from LANG 5000 cannot be counted toward the credit requirements.

LANG 5001Postgraduate English for Engineering Research Studies1 Credit(s)
LANG 5002Postgraduate English for Business and Social Science Studies1 Credit(s)
LANG 5010Postgraduate English for Science Studies1 Credit(s)

Students are required to take one of the above three courses. The credit earned cannot be counted toward the credit requirements. Students can be exempted from taking this course with the approval of the Program Planning Committee.

Postgraduate Seminar
AIAA 6101Artificial Intelligence Seminar I0 Credit(s)
AIAA 6102Artificial Intelligence Seminar II1 Credit(s)

Students are required to complete AIAA 6101 and AIAA 6102 in two terms. The credit earned cannot be counted toward the credit requirements.

PhD Qualifying Examination
PhD students are required to pass a qualifying examination to obtain PhD candidacy following established policy.

Thesis Research
AIAA 6990MPhil Thesis Research0 Credit(s)
AIAA 7990Doctoral Thesis Research0 Credit(s)

MPhil:

Registration in AIAA 6990; and
Presentation and oral defense of the MPhil thesis.
PhD:

Registration in AIAA 7990; and
Presentation and oral defense of the PhD thesis.



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