Master of Technology in Knowledge Engineering

National University of Singapore

Address : 21 Lower Kent Ridge Rd, Singapore 119077 , Prinsep
  • E-mail :
  • Phone : +65 6516 3106
  • Type : Public

Master of Technology in Knowledge Engineering

Important Information

  • Tuition FeesTuition Fees
    36,550 SGD
  • DurationDuration
    1.5 Year  Master / Specialized Master  (Full Time)
  • Exams accepted & cut-offExams accepted & cut-off
    IELTS 6.5/9.0 | TOEFL 85/120
  • EligibilityEligibility

    Applicants must have a bachelor's degree preferably in Science or Engineering and a grade point average of at least B (3 out of 5)

  • Admission ProcedureAdmission Procedure

    Additional documents required

    • Recent passport-sized photograph
    • Master of technology form
    • Copy of Passport
    • Copy of Bachelor’s Degree Certificate and Transcript in English
    • Copy of any other degree/certificate
    • Copy of TOEFL/ IELTS and GRE score sheet
    • Testimonials from the employer (where relevant)
    • The Cheque/ Bank Draft & Application Fee Form OR Proof of Payment of Application Fee (e.g. E-Receipt)



Infrastructure / Teaching Facilities

  • Cafeteria
  • Classrooms
  • Computer Laboratory
    Computer Laboratory
  • Library
  • Parking
  • Residence
  • Wi-Fi
  • Workshops

Why Join National University of Singapore?

  • Ranked 39th in Top Universities Abroad
  • Ranked among the world's best, NUS is a leading global university
  • Vibrant campus with an array of clubs, activities and events
  • Ranked 24th in the 2013 QS World University Ranking
  • Have students from 100 countries around the world

About Master of Technology in Knowledge Engineering

  • The programme is specifically designed to meet the needs of today's busy IT professionals and domain experts without disrupting their work and career
  • The curriculum emphasises the concepts, techniques and methods of Intelligent Systems, and their application to the development of data analytics applications
  • Graduates of the programme are capable of applying Intelligent Systems concepts, techniques and methods to solve typical business problems, leading the development of Intelligent Systems using existing tools and techniques, including Prediction, Forecasting, Classification, Clustering and Optimisatio and designing and customising algorithms to solve complex business problems and creating strategic advantage
  • The program includes the project module of eight months in which students are allowed to conduct their project as a team-based internship if desired

Per Year Fees Details



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Student also referred

PSB Academy, Singapore

Eligibility: IELTS - 5/9, TOEFL - 59/120

Fees: 2247 SGD

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