Introduction

We are in an era of disruption where technology has levelled the playing field in some areas and created unfair advantages in others. This places an increasing demand on business leaders to lead with the relevant know-how.

Drawing from thought leadership in the ambits of data analytics, technological platforms and business strategies, the Master of IT in Business (MITB) programme delves into 3 specialisation tracks to choose from – Analytics, Financial Technology & Analytics, and Artificial Intelligence. Each of these tracks uniquely resources you to lead competently and decisively.

Programme Structure
Analytics Track

The Master of IT in Business (AT) is an intensive programme with 2 options for completion:

Full-Time Candidature:
A minimum of 1 year to a maximum of 2 years
(from Aug 2017 intake onwards)
Part-Time Candidature:
A minimum of 2 years to a maximum of 4 years

Students can switch between these 2 modes of candidature at any time, but the change can only be made once.

Artificial Intelligence Track

The Master of IT in Business (AI) is an intensive programme with 2 options for completion:

Full-Time Candidature:
A minimum of 1 year to a maximum of 2 years
(from Aug 2017 intake onwards)
Part-Time Candidature:
A minimum of 2 years to a maximum of 4 years

Students can switch between these 2 modes of candidature at any time, but the change can only be made once.

Financial Technology & Analytics Track

The Master of IT in Business (FTA) is an intensive programme with 2 options for completion:

Full-Time Candidature:
A minimum of 1 year to a maximum of 2 years
(from Aug 2017 intake onwards)
Part-Time Candidature:
A minimum of 2 years to a maximum of 4 years

Students can switch between these 2 modes of candidature at any time, but the change can only be made once.

Admission Requirements

The Master of IT in Business (MITB) Programme welcomes applicants with the following qualifications:

  • Applicants from all degrees are encouraged to apply, while degrees from Computing, Engineering, Mathematics and related technical fields are preferred.
  • For AI Track applicants, coding artefacts must be submitted together with the application.
  • Preferably 2 years work experience in IT and/or operations related work experience in any industry; Analytical and Mathematically inclined.
  • A valid GMAT/GRE score (SMU’s GMAT Code: F8D-Z4-61, GRE Code: 2861) or CAT (only for applicants from India). Applicants must apply with a valid GMAT/GRE score (within the last 5 years) or a registered test date. Conditional acceptance may be granted to applicants with registered test date. Bachelor’s/Master’s/PhD Degree graduates from the four local universities (SMU, SUTD, NTU, NUS) may take the SMU Admission Test in place of GMAT/GRE. Test scores must be submitted before matriculation into the programme. SMU Bachelor’s degree graduates with a minimum cGPA of 3.4/4.0 (within 5 years of graduation) will be exempted from the SMU Admission Test. SUTD Bachelor’s degree graduates with a minimum cGPA of 3.5/5.0 (within 5 years of graduation) will also be exempted from the SMU Admission Test.
  • IELTS, UKVI (Academic) or TOEFL is required for applicants whose Degree programme (Bachelor’s/Master’s/PhD) was not taught in English. Minimum Requirements (IELTS/UKVI (Academic)/TOEFL): IELTS/UKVI (Academic) – Min 6.5, or TOEFL – Min 90.
Dates & Fees

Dates
For more information on Application Dates, click here.

Fees
For more information on Fee, Scholarships and Finance matters, click here.

Contact Details

School of Information Systems Graduate Programmes Office
Singapore Management University
80 Stamford Road
Singapore 178902

Email: mitb@smu.edu.sg