MSc in Analytics

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The Master of Science (MSc) in Analytics programme is an interdisciplinary post-graduate programme suitable for professionals seeking to leverage business analytics in their respective fields, as well as recent college graduates pursuing a career in the data science industry.

In the services sector, the rapid rise of middle class consumers and dynamic enterprises in Asia is boosting demand for modern, high value services. Our companies, particularly in the professional services industries, are well positioned to ride this wave.  Data analytics is one such industry cluster that we are developing.

Mr Tharman Shanmugaratnam, then Deputy Prime Minister and Minister for Finance
Budget Speech, Singapore, 25 February 2013

Analytics is the science of finding patterns in data to aid decision making. It is an interdisciplinary field rooted in applied mathematics, with a wide range of applications in business, finance, and industry. Modern businesses are turning toward increasingly sophisticated analytics methods to offer improved shopping suggestions to consumers, target previously-neglected markets, and improve the efficiency of their internal logistical processes and workflows.

The MSc in Analytics programme provides the skills and knowledge for applying cutting-edge data science techniques to business challenges in the modern economy.

Click here for the MSc in Analytics programme brochure

 

The MSc in Analytics programme is an intensive one-year full-time or two-year part-time programme by coursework, taught in three semesters. Upon completion of study, students are awarded a Master of Science (MSc) in Analytics degree.

The programme consists of a total of 30 Academic Units (AU), with 24 AU stemming from core courses and 6 AU from elective courses:

  • 11 Core Subjects
  • 8 Elective Modules to Choose From
  • 1 Analytics Practicum Module (Self-sourced Internship)
  • Ad-hoc Seminars on Analytics Software Tools
  • Ad-hoc Seminars from Industry Professionals

The curriculum strongly emphasizes the application of analytics on real-world data, and includes one practicum core module of 6 AU. Our full-time students had found internships in organizations for the practicum module that include APL, BreadTalk, Charles & Keith, DHL, Experian, Grab, UPS, Shopee, Lazada, DBS, UOB, Johnson & Johnson, JR Group, Lenovo, MSD, PSA, and PwC.

The requirements for graduation are:

  • ​​Successful completion of all requirements as prescribed by the programme of study; and
  • Attainment of a minimum CGPA of 2.50 at the completion of the programme of study.​

Course List

Compulsory Courses

MH8101 - Operations Research I1.5 AU
MH8102 - Operations Research II1.5 AU
MH8111 - Analytics Software I1.5 AU
M8112 - Analytics Software II1.5 AU
MH8121 - Analytics Workshop I1.5 AU
MH8122 - Analytics Workshop II1.5 AU
MH8131 - Probability and Statistics1.5 AU
MH8141 - Time Series Analysis1.5 AU
MH6142 - Database Systems3 AU
MH6151 - Data Mining3 AU
MH6191 - Practicum6 AU

Elective Courses

MH6301 - Information Retrieval and Analysis3 AU
MH8311 - Stochastic Processes for Data Science1.5 AU
MH8321 - Statistical Modelling and Data Analysis1.5 AU
MH8322 - Uncertainty and Dependence1.5 AU
MH8331 - Financial and Risk Analytics I1.5 AU
MH8332 - Financial and Risk Analytics II1.5 AU
MH8341 - Data Management and Business Intelligence1.5 AU
MH8351 - Web Analytics1.5 AU

On average, full-time students take 4-5 classes a week and part-time students take 2-3 classes a week.

Academic Calendar

Trimester 1
First half (7 weeks)
27 July – 13 September 2020
Second half (7 weeks)
14 September – 1 November 2020
Trimester 2
First half (7 weeks) 2 November 2020 – 20 December 2021
Recess (2 weeks) 21 December 2020 – 3 January 2021
Second half (7 weeks) 4 January – 21 February 2021
Trimester 3
First half (7 weeks) 22 February – 11 April 2021
Second half (7 weeks) 12 April – 30 May 2021
Recess (8 weeks) 31 May – 25 Jul 2021

Admission Requirements

Up to 40 students are admitted into the programme each year. The admission criteria are as follows:

  • A good Bachelor's Degree in a quantitative discipline (mathematics, statistics, engineering, computer science etc.) is preferred.
  • A good TOEFL score (92 or more) or IELTS score (6.5 or more), for graduates of universities in which English is not the medium of instruction.
  • A good GMAT score of 650 or GRE score of 315 is required (Graduates from autonomous universities in Singapore are exempted)​.​

Applicants may upload their TOEFL, IELTS, GMAT or GRE score via the online application.

Application Procedure and Timeline

Application
Apply online here.
1 Nov 2020 to 31 Jan 2021
Offer and Acceptance
Acceptance and deposit payment must be completed within two weeks from offer.
Check application status here.
Jun 2021
Appeals can be made via emailJun 2021
MatriculationJul 2021
Course Commencement26 Jul 2021

Medical Check-Up

Enrolling students must undergo a medical check-up and obtain a receipt certifying that they are medically fit for studies. This certification must be presented prior to matriculation. Details about the check-up will be provided upon acceptance into the programme.

The programme fees for Academic Year 2021/22 are as follows:

Singapore CitizensS$32,500 + Prevailing GST
Singapore Permanent Residents / International StudentsS$52,500 + Prevailing GST

These fees are listed in Singapore dollars (S$) and not inclusive of the prevailing Goods and Services Tax (GST). Fees are reviewed annually and subject to revision.

This programme is not eligible for government subsidies, and the university has no scholarship, government service agreement, grant, or service obligation scheme available for students. Tuition fees do not include the cost of recommended textbooks and other course materials. The costs of travel, accommodation and miscellaneous​ expenses are also not included and must be borne by the participant.

Instalment Schedule

Singapore Citizens

Deposit (non-refundable)
All students: Due upon acceptance of offer
S$5,000 + Prevailing GST
First Payment
All students: Due at the start of Year 1 Semester 1
S$16,250 + Prevailing GST
Second Payment
Full-time students: Due at the start of Year 1 Semester 2
Part-time students: Due at the start of Year 2 Semester 1
S$16,250 + Prevailing GST

Singapore Permanent Residents / International Students

Deposit (non-refundable)
All students: Due upon acceptance of offer
S$5,000 + Prevailing GST
First Payment
All students: Due at the start of Year 1 Semester 1
S$26,250 + Prevailing GST
Second Payment
Full-time students: Due at the start of Year 1 Semester 2
Part-time students: Due at the start of Year 2 Semester 1
S$26,250 + Prevailing GST

  • Deposit will be used to offset first payment.
  • Successful international applicants must ensure that they have sufficient funds for the normal duration of the MSA program, after accepting the admission offer. Currently, the calculation of the required amount is based on $18,000 per year for living expenses, in addition to the tuition and miscellaneous student fees.

Contact Us

For general enquiries, email msa@ntu.edu.sg.

For technical enquiries, email the Programme Director, Prof Nicolas Privault