Computer Science in Language Computing Technology (Master's Mixed Mode)

Program Code


About Courses

The Master of Computer Science in Language Computing Technology is mixed-mode programme (coursework plus dissertation) that offered on a full-time and part-time basis in order to accommodate both working professionals and fresh graduates. This program is designed to introduce students to the fundamentals concepts and the ideas of computers ability to recognize, understand, interpretation, written, spoken, produce and imitate human languages. It develops an in-depth understanding of both the algorithms available for the processing of linguistic information and the underlying computational properties of natural languages. This program simplifies and improves computer-man communication and generally supports communication between people. From a cognitive perspective the study of language computing technology aims at comprehending the framework and ingredients of an effortless man-computer communication, preferably as effortless as man-man communication.

Mode of Program

Full Time / Part Time

Duration of Study

  • Full Time : 3-4 Semesters
  • Part Time : 4-8 Semesters

Classes are conducted on weekday evenings and Saturday

Entry Requirements

  • Academic Qualification
    • Applicant must have a Bachelor’s Degree with Honours in a relevant field of study from a university that is recognized by the University Senate and the Malaysian government.
  • English Language Proficiency
    • a TOEFL certificate with a score of at least
    • 550 for (paper based), or
    • 213 (computer based), or
    • 79-80 (IBT), or
    • an IELTS certificate with at least Band 6.0

 *Any other English language certificates other than TOEFL and IELTS are NOT accepted by the university.

Courses Offered

All students are required to take the following courses:

  • Semester 1 Year 1
    • Research Methods in Computing
    • Speech Recognition Technology
    • Natural language Processing
    • Philosophy of Computer Science
  • Semester 2 Year 1
    • Research Proposal
    • Storage and retrieval algorithms
    • Computational Semantics
  • Semester 3 Year 2
    • Dissertation in Language Computing Technology


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