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OGCIO
hku

The University of Hong Kong

Faculty of Business and Economics
Faculty of Engineering
Faculty of Science

 

Admission Requirements

General Entrance Requirements

Core Subjects Elective Subjects
English Language Chinese Language Mathematics Liberal Studies Two Elective Subjects
Level 3 Level 3 Level 2 Level 2 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 the following subjects:
  • Physics or
  • Combined Science with Physics Component
School Nominations Direct Admission Scheme (SNDAS)
BEng(DS&E) Level 3 Level 3 Level 3 Level 3 in two subjects (one of which should be M1/M2)
BASc(Fin Tech)

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 two subjects
School Nominations Direct Admission Scheme (SNDAS)
Science

BASc(AppliedAI)

Level 4^

Level 4 Level 4 Level 3 in two subjects

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:

  • 18 credits Language Enhancement Courses
  • 36 credits BASc Common Core Courses
  • 96 credits Programme Core
  • 90 credits for 2nd Major/Minor(s)/Electives
BBA in Business Analytics
Government-fundedSNDAS Label
Engineering

BENG

First Common Year Computer Science (Professional Core) BEng in Computer Science
Government-fundedSNDAS Label
Computer Engineering (Professional Core) BEng in Computer Engineering
Government-fundedSNDAS Label
BEng(DS&E) 240 credits including:
  • 54 credits University Education (Language Courses/Common Core Courses)
  • 24 credits Engineering Core Courses
  • 90 credits Programme Core
  • 72 credits for 2nd Major/Minor(s)/Electives

BEng in Data Science and Engineering
Government-funded

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
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

BBA in Business Analytics

BEng in Computer Science

BEng in Computer Engineering

BEng in Data Science and Engineering

BASc in Financial Technology

BASc in Applied Artificial Intelligence

Useful Links

Faculty of Business and Economics

Faculty of Engineering

Faculty of Science

Internship Opportunities

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

BEng in Computer Science and BEng in Computer Engineering

Engineering / Technology Banking / Business Government Others
Alcatel·Luncent-Shanghai Bell AIA International Limited Census and Statistics Department Asian Art
CLP BNP Paribas Electrical & Mechanical Services Department FS education
ClusterTech Limited Convoy Financial Services Limited Hong Kong Observatory Galaxy (Asia) Limited
Facebook Credit Suisse Inland Revenue Department Hong Kong Youth and Tertiary Students' Association (NGO)
Google Deutsche Bank Office of the Government Chief Information Officer Nike Inc
Huawei Goldman Sachs (Asia)   OOCL
IBM HSBC   TAL Apparel
Lenovo J.P. Morgan Chase & Co.    
Microsoft (China) KPMG    
MTR Corporation Limited Morgan Stanley Asia Limited    
NVIDIA AI Technology Center Hong Kong The Bank of East Asia Limited    
Thomson Reuters Hong Kong Limited UBS AG    

Graduate Prospects

Career Prospects of BBA in Business Analytics:

Graduates of the BBA in 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 path of graduates of BEng in Computer Science:

Career path of graduates of BEng in Computer Science include: 1․ Conventional IT Posts, such as:(a) IT Specialist(b) System Analyst(c) Network Engineer․ 2․ Unconventional Career Paths, such as:(a) Management Trainee(b) Interior Designer(c) Marketing Trainee․ 3․ IT Training or Education, such as:(a) Professional Computer Forensic Examiner(b) School IT Teacher․ 4․ Start Up your Own Company․  Successful Examples include:(a) ICO Ltd․(b) Summation X(c) TnC Ltd․ 5․ Further Studies, such as:(a) MPhil or PhD(b) MSc (ECom & ICom) or MSc (CS)․

Career Prospects of BEng in Data Science and Engineering:

The programme aims to nurture professionals who are equipped with core knowledge and technologies in data science and practical training in data engineering, and are capable and passionate in driving different disciplines to excel in the era of big data. It offers graduates new and exciting career choices in the fastest-growing job positions like data engineer/architect, data scientist, data analyst, machine learning engineer, big data engineer, business analyst, and information security analyst.

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. Graduates can also continue their studies by pursuing a master or doctoral degree in Hong Kong or overseas. Professionally, it is expected that graduates of the programme will become FinTech professionals, leaders in the FinTech industry, and researchers in the FinTech discipline.

Career Prospects of BASc in Applied Artificial Intelligence:

It aims to give students practical knowledge in the design and construction of intelligent systems so that they can apply their skills in a variety of career settings, including but not limited to:

  • Banking and finance
  • Business
  • Environmental protection
  • Health care
  • Medical informatics
  • Neurocognitive science
  • Science and technology
  • Urban development

Students will be able to acquire the necessary expertise in artificial intelligence and a competitive advantage in becoming vital assets of any organisations which need to formulate intelligent strategies.