The Graduate Certificate (GC) in Data Mining and Interpretation (DMI) aims to provide students with in-depth knowledge in data science, practical skills in mining big data and state-of-the-art techniques of machine learning applications in data analytics, which are critical in solving industrial big-data problems.
Students are required to pass DSA5203 and ST5227.
DSA5203 Visual Data Processing and Interpretation
ST5227 Applied Data Mining
The minimum requirements for admission to the GC in DMI are:
(i) Bachelor’s (without Honours classification) in one of the following degrees, or their equivalent-
(ii) Preferably with relevant work experience in quality assurance, productivity improvements or related areas.
(iii) Candidates with other qualifications and experience may be considered on a case-by-case basis, subject to approval by DSAP.
The maximum period of candidature for the GC in DMI is 36 months.
Award of Graduate Certificate
Students who have taken and completed the DSA5203 and one of these two modules: ST5226, ST5227 required for the proposed GC in a ‘stand-alone’ mode with a CAP of at least 2.50, within a period of not more than 36 months (equivalent to the maximum GC candidature period) will be awarded the Graduate Certificate in Data Mining and Interpretation.
Students may repeat modules (with fees) to improve their CAP provided the maximum candidature is not yet exceeded and as per conditions imposed by the Department/Faculty.
Application and Course Fees
Candidates interested in the Graduate Certificate/modules within the Graduate Certificate must submit their applications via the Online Application portal under ‘Lifelong Learning Initiatives’ during the application period.
Modular course fees are reflected on the application portal.
Alternatively, visit https://scale.nus.edu.sg/ . All enrolled candidates will also be required to pay the Student Services Fee per semester.
The University reserves the right to review and adjust the course fees and make changes to the programme structure and requirements as necessary and accordingly without prior notice.