CITY UNIVERSITY OF HONG KONG · HONG KONG
MSc Artificial Intelligence for Sciences
Master's · Taught in en · UCAS P79
At a glance
12 mo
Duration
6.5
IELTS
€21k
Tuition / yr
en
Language
Master's
Level
- 30Credit units required
- 1 yearNormal full-time study period
- 4Specialized tracks
- 150Indicative intake target
This Master of Science program offers rigorous foundational training in Artificial Intelligence (AI), enabling students to deepen their knowledge in the field. It focuses on developing interdisciplinary understanding by integrating AI principles with domain-specific knowledge across various scientific fields. The program aims to prepare graduates for advanced research and development in industry, equipping them with the skills to create novel AI algorithms, enhance existing technologies, and apply these innovations to solve complex challenges in science.
Curriculum
The program requires students to complete 30 credit units (CUs), comprising 15 CUs of core courses and 15 CUs of elective courses. Students must choose one of the four specialized tracks and complete all their electives within that track. Experiential learning opportunities include a Dissertation (6 CUs) or an Internship (3 CUs).
- Year 1
- Statistical Machine Learning IDSC5001
- Design of ExperimentsDSC6008
- Artificial Intelligence for Scientific Knowledge DiscoveryDSC6020
- Generative Artificial IntelligenceDSC6021
- Research Projects for Artificial Intelligence for SciencesDSC6022
- AI for ChemistryCHEM6134
- Introduction to Quantum TechnologyPHY5503
- Data Acquisition & Processing Skills for Physicists IPHY5504
- Data Acquisition & Processing Skills for Physicists IIPHY5505
- Data Analysis and Modelling in PhysicsPHY5506
- Advanced Computational Methods for Simulation and ModellingPHY6502
- Introduction to Quantum InformationPHY6603
- Machine Learning in PhysicsPHY6604
- AI for Materials ScienceDSC6025
- Common Disease and Genetic MedicineBMS5001
- Infectious Disease ManagementBMS5002
- Pharmacology Principles in Drug Discovery and DevelopmentBMS5007
- Fundamental and Advanced Multi-omics ResearchBMS5008
- Ageing and the Science of Human LongevityBMS5009
- Artificial Intelligence in Health Science Research and ManagementBMS5010
- Wearable Technologies and Health Science ResearchBMS5011
- Nutrition Science and Stress ManagementBMS5012
- Storytelling of Health Science Data with Analysis and VisualizationBMS5013
- Immunology and Infectious DiseasesBMS8111
- Viruses, Immunity and AgeingBMS8112
- Air Pollution and Atmospheric ChemistrySEE5201
- Climate Change: Science, Adaptation and MitigationSEE5202
- Data Analysis in Environmental ApplicationsSEE5211
- Environmental Pollution: Theories, Measurement and MitigationSEE5212
- Energy Generation and Storage SystemsSEE6101
- Energy Conversion: Theory and MethodologySEE6103
- Energy Conservation and AuditSEE6104
- Carbon Audit and ManagementSEE6115
- Emerging Energy TechnologiesSEE6118
- Advanced Thermosciences for Energy EngineeringSEE6122
- Fuel ProcessingSEE6124
- Carbon Capture Use and StorageSEE6125
- Environmental ModellingSEE6212
- Wastewater Engineering and Water Quality AssessmentSEE6213
- Solid Waste Treatment and ManagementSEE6214
- Environmental Engineering ScienceSEE6224
- Environmental AssessmentSEE6225
- Topics of Artificial Intelligence for Smart CitiesDSC6004
- Embodied AI and ApplicationsDSC6019
- Social Network AnalysisDSC6026
- Topics of AI for Computational Social SciencesDSC6027
- Medical Image and AnalysisDSC6028
- Topics of Artificial Intelligence for Biomedical StudiesDSC6029
- Quantum Machine LearningDSC6030
- Internship in Artificial Intelligence for SciencesDSC6023
- Dissertation for Artificial Intelligence for SciencesDSC6024
Careers
This program equips graduates with advanced AI skills tailored for scientific and interdisciplinary challenges. Graduates will be prepared for high-demand careers at the intersection of AI and fields such as healthcare, environmental science, materials engineering, and social analytics, driving innovation in areas like data-driven design and AI for scientific research.
- AI Scientists
- AI Engineers for Scientific Domains
- Data Specialists in Biomedicine or Sustainability
- Innovation Leads in Technology and Engineering Sectors
Frequently asked questions
- What are the tuition fees for international students for the MSc Artificial Intelligence for Sciences programme?
- The tuition fee for international students is HKD 190,000 per academic year. Tuition fees are subject to annual review.
- What are the academic entry requirements for this programme?
- Applicants must hold a degree and preferably have an academic background or experience in a STEM discipline. Non-local candidates whose entrance qualification was not in English must meet English proficiency requirements, such as a TOEFL score of 79 (Internet-based) or IELTS of 6.5 (overall).
- How long does the MSc Artificial Intelligence for Sciences programme typically take to complete?
- The normal full-time study period for the MSc Artificial Intelligence for Sciences programme is one year.
- What is the structure of the MSc Artificial Intelligence for Sciences curriculum?
- The program requires 30 credit units, with 15 CUs of core courses and 15 CUs of elective courses within one of four specialized tracks. Students can choose between a Dissertation (6 CUs) or an Internship (3 CUs).
- What are the career prospects after completing this programme?
- Graduates are prepared for roles such as AI Scientists, AI Engineers for Scientific Domains, and Data Specialists in fields like healthcare, sustainability, and technology, driving innovation at the intersection of AI and science.
- When is the application deadline for the MSc Artificial Intelligence for Sciences programme?
- The application deadline is 31 May 2026, though applications are reviewed on a rolling basis and may be filled before the deadline.
Entry requirements
Degree HolderApplicants must hold a degree and preferably have an academic background or experience in a STEM discipline (Science, Technology, Engineering, or Mathematics).
TOEFL79 (Internet-based)
IELTS6.5 (overall)
CET6450 (band 6)
English test scores are valid for two years from the test date. Non-local candidates whose entrance qualification was obtained from an institution where the medium of instruction was not English must meet the English proficiency requirements. Applicants need to arrange for TOEFL results to be sent directly to the university (Institution code: 3401).
Fees
Tuition (international)HKD 190,000 per academic year
Tuition (home)HKD 47,000 per academic year (for 2026/27)
LivingHK$50,000 – HK$60,000 per academic year (estimated)
Tuition fees are subject to annual review. Non-local students are advised to budget for living costs, which can vary based on lifestyle. Accommodation costs are separate, with student residences around HKD20,800 for two semesters and off-campus estimated at HK$50,000-60,000 for two semesters.
How to apply
1. Online ApplicationSubmit your application through the university's online portal.
2. Track Selection StatementPrepare a one-page PDF statement indicating your chosen track (AI for Scientific Discovery, AI for Digital Medicine, AI for Sustainability, or Applied AI) and providing concise reasons for your choice.
3. Submit Supporting DocumentsUpload all required documents as part of the online application.
4. English Proficiency ProofIf applicable, provide official results of your English proficiency test (TOEFL, IELTS, or CET6).
Frequently asked questions
What are the tuition fees for international students for the MSc Artificial Intelligence for Sciences programme?
+
The tuition fee for international students is HKD 190,000 per academic year. Tuition fees are subject to annual review.
What are the academic entry requirements for this programme?
+
Applicants must hold a degree and preferably have an academic background or experience in a STEM discipline. Non-local candidates whose entrance qualification was not in English must meet English proficiency requirements, such as a TOEFL score of 79 (Internet-based) or IELTS of 6.5 (overall).
How long does the MSc Artificial Intelligence for Sciences programme typically take to complete?
+
The normal full-time study period for the MSc Artificial Intelligence for Sciences programme is one year.
What is the structure of the MSc Artificial Intelligence for Sciences curriculum?
+
The program requires 30 credit units, with 15 CUs of core courses and 15 CUs of elective courses within one of four specialized tracks. Students can choose between a Dissertation (6 CUs) or an Internship (3 CUs).
What are the career prospects after completing this programme?
+
Graduates are prepared for roles such as AI Scientists, AI Engineers for Scientific Domains, and Data Specialists in fields like healthcare, sustainability, and technology, driving innovation at the intersection of AI and science.
When is the application deadline for the MSc Artificial Intelligence for Sciences programme?
+
The application deadline is 31 May 2026, though applications are reviewed on a rolling basis and may be filled before the deadline.