Sept 2026 Entry
4 years
123 (including 3 Work-Integrated Education training credits)
Dr WU Wing Li
PhD, MPhil, MA, BA
The option of a Secondary Major in AI and Data Analytics is available to students of the BSc (Hons) in Language Science and Technology (BScLST) (subject to approval). Admission to the Secondary Major is competitive and subject to different credit requirements for graduation. Please see Secondary Major Details for further information.
What's New

- Undergraduate

- Undergraduate
Programme Aims
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To train language professionals with essential technology-enhanced problem-solving skills, preparing them to tackle challenges in the AI-driven job market;
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To develop graduates’ competence in utilising technological tools to conduct language science experiments, process and analyse language data, and extract valuable insights from large-scale complex language-based datasets; and
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To equip graduates with a broad understanding of fundamental concepts, alongside profession-specific knowledge and hands-on experience in areas such as language science, psycholinguistics, neuroscience, AI and computational science, technology-enhanced translation and bilingual business communication.
Programme Characteristics
The BSc (Hons) in Language Science and Technology (BScLST) provides students with interdisciplinary training in areas including language science, psycholinguistics, neuroscience, artificial intelligence and computational science, and technology-enhanced translation and corporate communication. Using innovative pedagogical approaches, the programme introduces concepts and theories via pre-class activities, which are accompanied by hands-on in-class practice to consolidate the introduced concepts and theories. Both the theoretical and practical components nurture language professionals who are equipped with solid linguistic knowledge and technological application readiness for the market in the digital era. This emphasis makes the programme the first of its kind in Hong Kong.
Medium of Instruction
- English*
* Supplemented by Chinese examples in certain subjects when necessary
All admitted students embark on a Common Year One curriculum. Towards the end of year one, students can decide whether to continue with their initial choice or switch to another choice within the Faculty. Those who wish to change to another choice need to join a competitive process through a ranking assessment, which considers a combination of entrance qualification score, Year One GPA, and interview performance.
Career Prospects
Graduates of this programme's predecessor work in various fields, including linguistic research, translation and interpreting, administration and management, education, corporate communication, language data analysis, editing and publishing, civil service, marketing and sales.
Academic Pathways
a) Single Discipline Major; or
b) Major and Minor; or
c) Major + AIDA Pathway (subject to approval).
Curriculum Structure
The overall credit requirements for the programme are as follows:
General University Requirements (GUR) | 27 credits* |
Major | 84 credits* + 3 training credits |
Free Electives | 12 credits |
Minimum credit requirement for graduation | 123 credits, including 3 training credits / 129 credits, including 3 training credits for Major and Minor / 135 credits, including 3 training credits for Major + AIDA (subject to approval) |
* Including double-fulfilment
Subject requirements for the three BScLST riders
To help students develop more focused study paths according to their interests, BScLST offers three riders within the programme: 1) AI and Language Technology, 2) Psycholinguistics and Neuroscience, and 3) Technology-Enhanced Bilingual Business Communication and Translation. All elective subjects are grouped into the three different riders. Students who successfully complete any nine elective subjects of a rider receive a certificate from the Department upon graduation that acknowledges their completion of the relevant rider.
The rider system is independent of the major programme award requirement. Therefore, students are NOT required to complete any rider to graduate from BScLST.
Compulsory Subjects
Introduction to Language; Psycholinguistics; Corporate Communication: Theory and Practice; Introduction to Neuroscience; Introduction to Artificial Intelligence in Language Sciences; Text Mining for Linguistic Applications; Translation Theory and Methodology in the Age of AI; Capstone Project; Work Integrated Education (WIE); English for Advanced Academic Writing; Language and Humanities Professionals in Society; Science and Civilisation in Pre-modern China
Elective Subjects (excluding subjects in the Japanese and Korean Minors within LST)
AI and Language Technology
Python for Language Analytics; Advanced Topics in Quantitative Language Studies; Statistics for Language Studies; Fundamentals of Computational Linguistics; Corpus and Language Technology for Language Studies; Introduction to Coding for Linguistic Data Analysis; Natural Language Processing; AI Ethics, Digital Humanities, Culture, and Society; Computational Psycholinguistics; Language Modelling and Generative AI; AI Applications in Social Sentiment Analysis
Psycholinguistics and Neuroscience
Anatomy and Physiology: Speech and Hearing Sciences I; Language, Cognition and Brain; Language Acquisition; Comparative and Contrastive Studies of Chinese and English Grammar; Analysis of Language Samples: Clinical Implications; Techniques in Language Sciences; Reading Development and Reading Disorders; Processing of Language Meanings; Processing of Language in Contexts; Speech Perception and Production; Neurolinguistics
Technology-Enhanced Bilingual Business Communication and Translation
Introduction to Translation; Translation for Corporate Communication; Intercultural Communication in Corporate Context; Technology-Enhanced Cross-Cultural Brand Strategy and Consumer Communication; AI-Supported Interpreting in Business Context; Digital Marketing and Multilingual Content Management in Global Markets; Digital Approaches to Transcultural Crisis Management for Business; Translation for the Media in the Digital Age; Emerging Technologies in Multilingual Corporate Engagement; Machine and Computer-assisted Translation and Language Technologies
Others
Introduction to Speech Therapy; Introduction to Modern Chinese; Major Trends in Chinese History; Modern and Contemporary Chinese Literature; Introduction to English-Speaking Culture; Communication Skills at Work; Language in Social Contexts; AI and Academic Excellence: Navigating University Writing, Research, and Communication
(The above subject list is subject to revision.)
The option of a Secondary Major in AI and Data Analytics is available to students of the BSc (Hons) in Language Science and Technology (BScLST) (subject to approval).
Students on this pathway complete 84 academic credits + 3 training credits for the Major (BScLST) and 36 credits for the Secondary Major (AIDA). 12 credits can be double-counted for the Major and Secondary Major. The list of compulsory and elective subjects for the Major (BScLST) is almost the same as that for the existing BScLST programme. The only difference is in the Capstone Project, as students complete an integrated project (involving both BScLST and AIDA) instead of the regular BScLST route. The minimum credit requirement of BScLST + AIDA is 135 credits (subject to approval).
Remarks
There is no professional accreditation for BScLST + AIDA.
Satisfy the University's General Entrance Requirements.
The subject weightings for 2026/27 will be announced in due course.
There is no compulsory subject requirement. Preferred subject(s) with the highest weighting for admission score calculation include(s):
This programme will be restructured from 2026/27. The average HKDSE score is listed for reference:
Bachelor of Arts (Honours) / Bachelor of Science (Honours) Scheme in Translation, Language Sciences and Analytics (JS3241)
2025/26 Average Score: Any Best 5 Subjects (plus an additional bonus score for the 6th subject with Level 3 or above) (with Subject Weighting) = 200.6
For further programme information, please contact:
the General Office (tel.: 2766 7454; email: lst.ug@polyu.edu.hk).
To determine the suitability of applicants who have the same admission scores.
About 15-30 minutes
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Required
- To evaluate the potential/suitability of applicants for admission to the programme, and to examine their verbal proficiency and communication skills of applicants
About 15-30 minutes for interview
Only shortlisted applicants will be invited to interviews
Required
To evaluate the potential/suitability of applicants for admission to the programme, and to examine their communication skills and interest in the field of study
About 15 to 30 minutes
Only shortlisted applicants will be invited for interviews


