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hku

The University of Hong Kong

Faculty of Business and Economics
Faculty of Engineering
School of Computing and Data Science (affiliated with the Faculty of Engineering and the Faculty of Science)

Admission Requirements

General Entrance Requirements

Core Subjects Elective Subjects
English Language Chinese Language Mathematics Citizenship and Social Development Two Elective Subjects
Level 3 Level 3 Level 2 Attained Level 3&

Programme Entrance Requirements

Faculty Study Programme English Language Mathematics Extended Module of Maths (M1/M2) Two Elective Subjects
Business & Economics BBA(BA) Level 4 Level 3 Level 3 or above in Extended Module 1 or Module 2 of Mathematics is preferred (but not required) Level 3 in one of the following subjects:
  • Biology
  • Chemistry
  • Physics
  • Science (Combined or Integrated)
  • Information and Communication Technology
School Nominations Direct Admission Scheme (SNDAS)
Engineering BEng Level 3 Level 3 Level 3 or above in Extended Module 1 or Module 2 of Mathematics is preferred (but not required) Level 3 in two subjects (one subject in Biology, Chemistry, Combined Science, or Physics)
School Nominations Direct Admission Scheme (SNDAS)
School of Computing and Data Science (affiliated with the Faculty of Engineering and the Faculty of Science) BASc(AppliedAI)

Level 4^

Level 4 Level 4 Level 3 in two subjects
School Nominations Direct Admission Scheme (SNDAS)
BASc(FinTech) Level 4^ Level 3 / Level 3 in two subjects
School Nominations Direct Admission Scheme (SNDAS)
BEng(AI&DataSc) Level 3 Level 3 Level 3 or above in Extended Module 1 or Module 2 of Mathematics is preferred (but not required) Level 3 in two subjects (one subject in Biology, Chemistry, Physics, Economics, or Information and Communication Technology)
School Nominations Direct Admission Scheme (SNDAS)
BEng(CompSc) Level 3 Level 3 Level 3 or above in Extended Module 1 or Module 2 of Mathematics is preferred (but not required) Level 3 in two subjects (one subject in Biology, Chemistry, Physics, Economics, or Information and Communication Technology)
School Nominations Direct Admission Scheme (SNDAS)

& Consideration of Elective Subjects

  1. The result of the Mathematics Extended Part (Modules 1 and 2) will be recognised as equivalent to that of a full elective in fulfilling the University Entrance Requirement on the condition that one of the elective subjects must be a Senior Secondary Subject (i.e. Category A Subject). 
  2. "Attained with Distinction" obtained prior to 2018, or "Attained with Distinction (I)" or "Attained with Distinction (II)" obtained in or after 2018, in Applied Learning subjects (other than Applied Learning Chinese) will be used as additional supporting information. In the meantime, student learning experiences in Applied Learning subjects may be considered within the context of other learning experiences in their application.
  3. Other Language subjects will be used as unspecified elective subjects. The minimum requirement is Grade E.

^ Candidates with level 4 in English Language, if admitted, will be required to take 6 additional credits in Core University English to complete their degree studies.

Admissions Information

School Nominations Direct Admission Scheme (SNDAS)

Programme Structure

Faculty Study Programme 4-year Curriculum Graduation
Business & Economics BBA(BA)

240 credits including:

  • 54 credits – Compulsory Courses as required by the University for all students
  • 96 credits – Major in Business Analytics
  • 90 credits – Free Electives
BBA in Business AnalyticsGovernment-fundedSNDAS Label
Engineering BEng First Common Year Computer Engineering (Professional Core) BEng in Computer Engineering
Government-fundedSNDAS Label
School of Computing and Data Science (affiliated with the Faculty of Engineering and the Faculty of Science) BASc(AppliedAI) 240 credits including:
  • 36 credits University Education (Language Courses/Common Core Courses)
  • 18 credits BASc Common Courses
  • 96 credits Programme Core
  • 90 credits for 2nd Major/Minor(s)/Electives
BASc in Applied Artificial Intelligence
Government-fundedSNDAS Label
BASc(FinTech) 240 credits including:
  • 36 credits University Education (Language Courses/Common Core Courses)
  • 18 credits BASc Common Courses
  • 96 credits Programme Core
  • 90 credits for 2nd Major/Minor(s)/Electives
BASc in Financial Technology 
Government-fundedSNDAS Label
BEng(AI&DataSc) 240 credits including:
  • 54 credits University Education (Language Courses/Common Core Courses)
  • 36 Foundation Courses
  • 24 Discipline Core Courses (Introductory)
  • 30 Discipline Core Courses (Advanced)
  • 12 Capstone Experience and Internship
  • 42 Discipline Elective Courses
  • 42 Free Electives/Minor
BEng in Artificial Intelligence and Data Science
Government-fundedSNDAS Label
BEng(CompSc) 240 credits including:
  • 54 credits University Education (Language Courses/Common Core Courses)
  • 36 Foundation Courses
  • 24 Discipline Core Courses (Introductory)
  • 30 Discipline Core Courses (Advanced)
  • 12 Capstone Experience and Internship
  • 42 Discipline Elective Courses
  • 42 Free Electives/Minor
BEng in Computer Science
Government-fundedSNDAS Label

BBA (Business Analytics)

BEng in Computer Engineering

BASc in Applied Artificial Intelligence

BASc in Financial Technology

BEng in Artificial Intelligence and Data Science

BEng in Computer Science

Useful Links

Faculty of Business and Economics

Faculty of Engineering

School of Computing and Data Science

Internship Opportunities

Some of the companies / organisations in which the HKU students worked as interns on past three years:

Engineering / Technology Banking / Business Government Others
Alpha AI Technology Limited eFusion Capital Limited Hong Kong Applied Science and Technology Research Institute Company Limited DrPOM Medical Care Limited
Eureka FinTech Limited WorldQuant Consulting (Beijing) Company Limited   GoGo Tech Limited
Jio Platforms Limited     Tamee (Hong Kong) Limited
Nvidia Singapore Pte Ltd, HK Branch     Time Medical Limited
PanopticAI Limited      
REVOTECH Limited      
Roborn Technology Limited      
SmartAge Intelligence Limited      
SOCIF Limited      
Swivel Software Limited      
Engineering / Technology Banking / Business Government Others
Alibaba Cloud Bank of China Civil Engineering and Development Department Chinese Academy of Sciences
Alibaba-Zhejiang Tmall Technology Co., LTD Bowtie Life Insurance HKSAR-Drainage Services Department CLP Holdings Hong Kong Ltd.
Alpha AI Technology Limited Deloitte Hong Kong Observatory DHL Express (Hong Kong) Limited
ASM Pacific Technology Ernst & Young Hong Kong Productivity Council Double Happiness Noodle And Food Ltd.
Baidu FWD Group Management Holdings Limited   Hong Kong Airlines
ByteDance Goldman Sachs Services (Asia) Limited   Hong Kong Science and Technology Park
China Electric Power Research Institute Hang Seng Bank Limited   MTR Corporation Limited
China Unicom Hong Kong Exchanges and Clearing Limited   Sun Hung Kai Real Estate Agency Limited
Clear Robotics Limited Hong Kong Monetary Authority   The Hong Kong Jockey Club
HIKVISION HSBC   University of British Columbia
HKT Services Limited J.P. Morgan Chase & Co.   University of Waterloo
Huawei Tech. Investment Co. Limited Jane Street    
Microsoft (China) Co., Ltd. Jefferies Hong Kong Limited    
NTT Data Hong Kong Limited JPMorgan Chase & Co.    
Orient Overseas Container Line Limited KPMG    
  Livi Bank Limited    
  Manulife    
  Morgan Stanley Hong Kong Limited    
  PwC    
  Qube Research & Technologies (QRT)    

Graduate Prospects

Career Prospects of BBA (Business Analytics):

Graduates of the BBA (Business Analytics) programme are expected to land on data and analytics related jobs in a wide variety of sectors such as IT, finance, supply chain, marketing, consulting, manufacturing, and so forth. They will also be competitive in pursuing post-graduate degrees in fields such as data science, information management, decision science, big data, etc.

Career Prospects of BASc in Applied Artificial Intelligence:

Graduates will gain a competitive advantage in both local and international job markets and become vital assets to organisations seeking intelligent strategies. Career prospects include opportunities in fields such as science and technology, environmental protection, medical informatics, health care, business, banking, finance, urban development, and neurocognitive science, among others.

Career Prospects of BASc in Financial Technology:

The programme prepares graduates with knowledge in both finance and technology. This would allow them to have a broad career pathway as they could take up positions in FinTech industry, finance industry, as well as IT industry. The finance and IT industries have a wide range of jobs for this talent group such as blockchain developer, apps developer, compliance expert, cybersecurity analyst, etc. Professionally, it is expected that graduates of the programme will become FinTech professionals, leaders in the FinTech industry, and researchers in the FinTech discipline. Graduates can also continue their studies by pursuing a master or doctoral degree in Hong Kong or overseas.

Career Prospects of BEng in Artificial Intelligence and Data Science:

Career prospects include positions such as data engineer/architect, data scientist, data analyst, machine learning engineer, big data engineer, business analyst and information security analyst.

Career Prospects of BEng in Computer Science:

Graduates of BEng in Computer Science programme are expected to become IT professionals in various sectors, including banking and finance, government, education, IT, and telecommunications. Some graduates also venture into entrepreneurship, starting their own businesses.