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Secondary Major in Artificial Intelligence and Data Analytics (AIDA)
Programme Overview
The BA (Hons) in English and Applied Linguistics (BAEAL) with the AIDA Secondary Major aims to show students how AI and Data Analytics can be harnessed to enhance our understanding of human language and communication, and their strategic applications in different professional contexts. |
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Entrance Requirement
To be eligible for the Secondary Major, you must have a cumulative GPA of 2.70 or above at the time of application for Secondary Major enrolment.
The Secondary Major application period normally begins after the announcement of overall results for Semester Two of Year One. Your CGPA at the end of Semester Two of Year One will be used to determine your eligibility. If you are interested in pursuing a Secondary Major, please submit your application via eStudent > Application Forms > (AR164) Application for Major/Secondary Major/Double Major during the designated application period.
Programme Structure
The option of a Secondary Major in AI and Data Analytics (AIDA) is available to students of the BA (Hons) in English and Applied Linguistics (BAEAL). In addition to the 27 GUR credits, students who pursue this pathway will complete 78 academic credits + 3 training credits for the Primary Major and 36 credits for the Secondary Major (AIDA). Certain credits, including the Integrated Capstone Project, can count towards both the Primary and Secondary Majors. The list of compulsory and elective subjects for the Primary Major (BAEAL) is nearly identical to the list for the Single-Discipline Major BAEAL programme. The major differences include: (1) students must complete the Integrated Capstone Project (involving both BAEAL and AIDA) instead of the regular BAEAL Capstone Project; and (2) two subjects, ENGL4022 and ENGL4026, originally elective subjects for the BAEAL, are now core subjects in the Major/Secondary Major pathway. The minimum credit requirement of the BAEAL + AIDA programme is 132 credits + 3 training credits.
The Secondary Major in AIDA is offered by the Department of Computing. The detailed curriculum can be found at: https://www.polyu.edu.hk/comp/study/ug-programmes/aida/.
For further details of the programme requirements, please refer to pages 19-21 and 23-24 of the PRD [link].
Indicative Progression Pattern
A list of compulsory and elective subjects to be taken in the suggested semester.
| Suggested Semester | Subject code | Subject title | Credits | Compulsory/Elective |
| Year 2 | ||||
| 1 or 2 | AMA1501 | Introduction to Statistics for Business | 3 | Compulsory |
| 1 | AMA1751 | Linear Algebra | 3 | Compulsory |
| 1 | COMP1012 | Programming Fundamentals and Applications | 3 | Compulsory |
| 1 or 2 | DSAI2201 | Data Structures and Algorithms | 3 | Compulsory |
| or | ||||
| 1 or 2 | DSAI1102 or DSAI1201 or EIE1003 |
Data Analytics Fundamentals or Introduction to Data Analytics or Foundations of Data Science |
3 | Compulsory |
| Year 3 | ||||
| 1 or 2 | DSAI2201 | Data Structures and Algorithms | 3 | Compulsory |
| or | ||||
| 1 or 2 | DSAI1102 or DSAI1201 or EIE1003 |
Data Analytics Fundamentals or Introduction to Data Analytics or Foundations of Data Science |
3 | Compulsory |
| 2 | DSAI4203 | Machine Learning | 3 | Compulsory |
| 1 or 2 | COMP4431 | Artificial Intelligence | 3 | Compulsory |
| 1 | ENGL4022 | Quantitative Literacy for Language Professionals | 3 | Compulsory |
| 2 | ENGL4026 | Language and Social Data Analytics | 3 | Compulsory |
| Year 4 | ||||
| 1 or 2 | ENGL4027 | Integrated Capstone Project | 6 | Compulsory |
| 1 | Elective Subject | 3 | Elective | |
| Year 2 to 4 | Total | 36 | ||
Enquiries
For further programme information, please contact:
- AI, computational linguistics, natural language processing, data analytics, and programming skills in high market demand
- How to analyze both verbal and numerical data, and their interrelationships
- Quantitative Literacy for Language Professionals
- Language and Social Data Analytics
- Integrated Capstone Projects
- Apple - for Siri
- Alphabet - for Google Translate
- Meta - for Facebook
- I32 credits + 3 WIE training credits
