Sept 2025 Entry
2 years
A minimum of 60 credits plus 3 training credits
- The curriculum of this programme, including the credit requirements, is subject to review.
- Students not meeting the equivalent standard of the Undergraduate Degree Language Communication Requirement (LCR) will be required to take the default LCR replacement subjects.
What's New
Programme Aims
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To train language and knowledge professionals for our information-rich and highly connected world and the era of digital humanities.
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To endow our graduates with highly sophisticated communication skills, especially in terms of culture and domain sensitivity in intercultural and corporate communication; inter-personal skills and empathy in face-to-face communication as well as over digital media; and being technologically savvy to master current and future new media.
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To equip our graduates with general knowledge of the underlying concepts and profession-specific literacy and skills in linguistics and bilingual communication.
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To equip our graduates with competence in utilizing analytic tools, performing and presenting quantitative analyses on language data, and extracting useful information from large-scale language datasets with complex scales.
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To equip our graduates with the ability to create, adapt and utilize language-related applications and tap into advances in artificial intelligence research.
Programme Characteristics
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The programme provides students with interdisciplinary training in areas including language sciences, quantitative data analytics, computer programming and computational linguistics.
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To nurture a deep understanding of how language works (in an individual and in a society) and foster familiarity with the concepts of digital humanities and the tools and methods of collecting and analysing language data in the digital era.
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To strengthen skills in analysing social sentiments, spotting trends in the making, generating predictions and providing insight for business and/or administrative decision making.
Medium of Instruction
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English and Chinese*
* Putonghua by default; Cantonese only used in elective subjects on the Cantonese language
Career Prospects
The programme produces graduates who can make meaningful contributions to various sectors of society (e.g. business development, marketing, journalism and media, education, academic research, and public services) by analysing social sentiments, spotting trends in the making, generating predictions and providing insight for business and/or administrative decision making.
The curriculum of this programme, including the credit requirements, is subject to review.
Applicants with AD/HD qualifications are admitted to the senior year of the four-year degree programme. They must complete the following general university requirements, compulsory subjects and the required number of elective subjects to fulfil the credit requirements for graduation.
The total credits requirement for BScLSA is 60 academic credits plus 3 training credits. The exact credits required for each AD/HD holder depends on the credits transferred.
The following tables show the composition of the curriculum:
(1) General University Requirements (GUR)
The 9 credits of GUR are distributed as follows:
| Area and Credit Requirement | Curriculum Requirement | |
|
A
|
Cluster-Area Requirements (CAR) [6 credits] |
|
| B | Service Learning [3 credits] |
|
| C |
General Education [Non-credit-bearing] |
|
| D | Language and Communication Requirements (LCR) |
|
Note 1: Students not meeting the equivalent standard of the Undergraduate Degree LCR will be required to take the default LCR replacement subjects for BScLSA students, including ENGL2000, ENGL2001 and CBS2901.
(2) Discipline Specific Requirements (DSR)
In addition to accumulating a minimum of 9 GUR credits, students need to complete at least 51 DSR credits plus 3 training credits for WIE to be eligible for the ‘Major in Language Sciences and Analytics’ qualification. Specifically, students are expected to accumulate:
- 30 compulsory academic credits and 3 compulsory training credits by completing 8 subjects + WIE offered by CBS (or CBS compulsory credits) and 1 subject offered by ENGL;
- at least 21 elective academic credits by completing 7 elective subjects offered by CBS (or CBS elective credits) and the subjects offered by AMA and COMP.
| No | Subject Title | Credits |
| Compulsory Subjects (30 Credits + 3 Training Credits) | ||
| 1 | CBS2946 Work Integrated Education (WIE) | 3 (Training Credits) |
| 2 | CBS2904 Academic and Technical Chinese Writing | 3 |
| 3 | CBS3402 Psycholinguistics | 3 |
| 4 | CBS3404 Language, Cognition, and Brain | 3 |
| 5 | CBS3947 Programming and Data Analysis for Language Studies | 3 |
| 6 | CBS4702 Advanced Topics in Quantitative Language Studies | 3 |
| 7 | CBS4799 Project in Language Sciences and Analytics | 6 |
| 8 | CBS4801 Translation Studies | 3 |
| 9 | CBS4902 Comparative and Contrastive Studies of Chinese and English Grammar | 3 |
| 10 | CBS4962 Corpus and Language Technology for Language Studies | 3 |
| 11 | ENGL2003 English for Advanced Academic Writing | 3 |
| Elective Subjects (21 credits by completing 7 elective subjects offered by CBS) | ||
|
Language Sciences |
||
| 1 | CBS3408 Language Acquisition | 3 |
| 2 | CBS3948 Semantics: Meaning in Language | 3 |
| 3 | CBS3949 Sounds and Sound Systems of Language | 3 |
| 4 | CBS3950 Pragmatics: Language in Use | 3 |
| 5 | CBS4943 Language and Society | 3 |
| 6 | CBS4949 Child Communication Disorders and Special Education Needs | 3 |
| 7 | CBS4950 Communication Disorders Across the Life Span | 3 |
| 8 | CBS4952 Language and Speech Production: Anatomical and Physiological Perspectives | 3 |
| 9 | CBS4957 Cantonese Linguistics | 3 |
| 10 | CBS4959 Syntax | 3 |
| 11 | CBS4960 Phonetics and Phonology | 3 |
|
Language Analytics |
||
| 12 | CBS3410 Python for Language Analytics | 3 |
| 13 | CBS4703 Social Media and Social Network Analysis | 3 |
| 14 | CBS4704 Workshop on Language Analytics | 3 |
| 15 | CBS4844 Machine Aided Translation | 3 |
| 16 | CBS4953 Techniques in Language Sciences | 3 |
| 17 | CBS4954 Statistics for Language Studies | 3 |
| 18 | CBS4958 Fundamentals of Computational Linguistics | 3 |
|
Elective Subjects Offered by AMA and COMP |
||
| 19 | AMA3602 Applied Linear Models | 3 |
| 20 | COMP4431 Artificial Intelligence | 3 |
The above subject list is subject to revision. Offering of subjects is subject to the availability of teaching staff and viable enrolment number. The Department has the discretion on the offering semester and class quota, which is limited by classroom capacity.
A minimum of 60 credits plus 3 training credits
Programme Leader
Dr KWONG Yee Lan, Elaine
PhD, BSc
Deputy Programme Leader
Dr Emmanuele CHERSONI
PhD, MA, BA
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A Higher Diploma or an Associate Degree from a recognised institution in a relevant discipline such as computer science, data analytics, language studies, psychology, allied health care, biological sciences, social sciences or other communication related fields. Preference will be given to applicants with good command of English and Chinese.
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Applicants’ academic results and interview performance will both be taken into account during the admissions process.
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Shortlisted applicants will be invited to attend interviews to evaluate their potential for admission to the programme and to examine their bilingual communication skills and interest in the field of study.
For further programme information, please contact:
The General Office (tel.: 2766 7454; email: cbs.ug@polyu.edu.hk)
Required
To evaluate the potential of applicants for admission to the programme.
About 30 minutes for interview
Shortlisted applicants will be invited to interviews. Conditional offers may also directly be granted to those applicants with excellent academic performance in their Associate Degree or Higher Diploma studies.
