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.

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 trimesters. Upon completion of the 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 Courses
  • 12 Elective Courses (Choose Under Curriculum)
  • 1 Analytics Practicum Courses (Self-sourced Internship)
  • Ad-hoc Seminars on Analytics Software Tools
  • Ad-hoc Seminars from Industry Professionals

The curriculum strongly emphasises the application of analytics on real-world data and includes one practicum core course of 6 AU. Our full-time students had internships in organisations for the practicum course, including 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

MH6142 - Database Systems3 AU
MH6151 - Data Mining3 AU
MH6191 - Practicum6 AU
MH6201 - Operations Research I1.5 AU
MH6202 - Operations Research II1.5 AU
MH6211 - Analytics Software I1.5 AU
MH6212 - Analytics Software II1.5 AU
MH6221 - Analytics Workshop I1.5 AU
MH6222 - Analytics Workshop II1.5 AU
MH6231 - Probability and Statistics1.5 AU
MH6241 - Time Series Analysis1.5 AU

Elective Courses

MH6301 - Information Retrieval and Analysis3 AU
MH6311 - Stochastic Processes for Data Science1.5 AU
MH6321 - Statistical Modelling and Data Analysis1.5 AU
MH6322 - Managing Uncertainty & Dependence: From Data To Decisions1.5 AU
MH6331 - Financial and Risk Analytics I1.5 AU
MH6332 - Financial and Risk Analytics II1.5 AU
MH6333 - Analytics in Smart City Operations3 AU
MH6341 - Data Management and Business Intelligence1.5 AU
MH6351 - Web Analytics1.5 AU
MH6812 - Advanced Natural Language Processing with Deep Learning3 AU
MH6813 - Blockchain Systems I: Concepts and Principles1.5 AU
MH6814 - Blockchain Systems II: Development and Engineering1.5 AU

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

Academic Calendar

For Trimester Calendar (for Graduate Programmes only), please click here.

Admission Requirements

The admission criteria are as follows:

  • A good Bachelor's Degree in a quantitative discipline (mathematics, statistics, engineering, computer science etc.) is preferred.
  • A TOEFL score of 85 or more, or IELTS score of 6.0 or more, for graduates of universities in which English is not the medium of instruction.
  • A good GMAT score of 650 or a GRE score of 315 is required (Graduates from autonomous universities in Singapore are exempted).​
  • All recommendation letters or referee reports are no longer accepted

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

Refer to Coursework Programmes Admission Guide for the general requirements for admission.

NOTE: Complete set of supporting documents (must be legible) have to be uploaded via the fully digital application portal. Do not send a hardcopy admission package unless requested.

Application Procedure and Timeline

Apply online here
November 2024
Offer and Acceptance
Acceptance and deposit payment must be completed within two weeks of the offer.


MatriculationJuly 2025

Non-credit-bearing Preparatory Lessons
(Linear Algebra, Calculus, and R programming)
Complimentary for matriculated MSc in Analytics students

July 2025
Course CommencementAugust 2025

Check Application/Result Status
Owing to a large number of applicants, we are unable to attend to phone or email enquiries on application status/results. Click here to check your application status after you have made a successful online payment.


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 before matriculation. Details about the check-up will be provided upon acceptance into the programme.

The tuition fees for Academic Year 2024/25 are as follows:

Tuition Fee (inclusive of GST)                                        S$55,000 + prevailing GST  (S$ 59,950)


 Financial Assistance

  • Singapore Citizens (SCs): enjoy a study grant of S$10,000 + prevailing GST (S$10,900).

  • Singapore Permanent Residents (SPRs): enjoy a study grant of S$5,000 + prevailing GST (S$5,450).

  • Needy SCs and SPRs may apply for financial aid (up to S$5,450 in addition to the SC/SPR study grant).

  • NTU Alumni: On top of the above, alumni can enjoy a 10% grant of the tuition fee (S$5,500 + prevailing GST (S$5,995)). Eligible for holders of bachelor’s, master’s, and/or doctoral degrees obtained from NTU Singapore.

 Payment Schedule

 Singapore Citizens Singapore Permanent ResidentsInternational Students
(non-refundable & non-transferrable)
 All students: Due upon acceptance of offer

S$ 5,000 + prevailing GST  (S$ 5,450)
First Payment
All students: Due at the start of Year 1, Trimester 1
S$ 24,525
Second Payment
Full-time students: Due at the start of Year 1, Trimester 2
Part-time students: Due at the start of Year 2, Trimester 1
S$19,075S$ 24,525S$ 29,975
NTU Alumni
S$ 13,080S$ 18,530S$ 23,980
Please note the following:

1. All fees and financial assistance shown are inclusive of 9% GST from 1 January 2024.
2. There is an application fee of S$ 50.
3. A one-time miscellaneous fee will be billed every academic year. Please click here for details.
4. Tuition fees do not include the cost of recommended textbooks and other course materials. The costs of travel, accommodation and miscellaneous expenses must be borne by the student.
5. All grants will be offset at the last payment, as shown in the above table.
6. The fees and grants are reviewed annually and subject to revision.
7. This programme is not eligible for government subsidies. The university currently has no scholarship, government service agreement, or service obligation scheme available for students.


  • (Singapore Citizens only) The Singapore Digital (SG:D) Scholarship is offered by the Infocomm Media Development Authority (IMDA).

The terms and conditions of the scholarship have been enhanced to groom aspiring Infocomm Media (ICM) talent to be industry-ready for an exciting career in a fast-evolving digital economy.  Click here for more information about the scholarship.

Contact Us

For general enquiries, email [email protected].

For academic enquiries, email the Programme Director, Dr Lim Kay Jin ([email protected]).