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Analytics Track

Analytics Track


In a data-driven economy, the ability to make better decisions, create value and develop a sustained competitive advantage using data analytics techniques, is imperative. The SMU MITB Analytics (AT) track is Asia's first professional masters programme to meet the ever increasing demand for well-trained data analytics professionals. Co-designed by leading global and regional sector firms from hospitality, tourism, supply chain, retail, healthcare, public sector, banking and telecommunications, it promises a systematic understanding and application of the end-to-end data analytics processes to answer key business questions. With businesses keen to leverage the power of data analytics, it is no longer a choice, but a necessity for business survival and growth.

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

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.

The MITB programme runs its academic year based on that of the Singapore Management University, which operates on 3 regular terms comprising 10 study weeks, and 2 special terms of 5 study weeks. Some courses may include an additional week to administer examinations.

MITB class sessions are 3 hours long, and are conducted in a highly interactive, seminar-styled manner. Class sessions combine lectures with discussions, hands-on lab sessions, problem-solving practice classes, and group work. Through our pedagogy, students have the opportunity to interact closely with faculty, full-time professional hires (instructors) and student teaching assistants. In addition, students also meet with industry experts who share their experiences and perspectives through regular seminars organised by the MITB (AT) programme.

All classes are held either on weekday evenings from 7pm onwards, Saturday mornings from 8.15am onwards, or Saturday afternoons from 12pm onwards. These timings have been chosen to accommodate the schedules of part-time students who are working, and full-time students who might be engaged with industry attachments.

The MITB curriculum has its courses classified into the following series:

 
*
A compulsory pre-requisite course is required.
These courses cannot be taken in students' first term of study. As a result, some full-time students may need to extend to their fourth term of study in order to read these courses. Only those with special exemptions can be allowed to read these courses in the first term of study.
§
The AI Translational Research Seminar is a graduation requirement (without credit) for AI track students.

Course modules listed are subject to change.


GRADUATION REQUIREMENTS FOR ANALYTICS TRACK

Students must complete and pass a total of 15 Course Units (CUs) with a minimum cumulative Grade Point Average (GPA) of 2.5 to graduate with the MITB degree.

PROFESSIONAL DEVELOPMENT (1 CU)
PROFESSIONAL DEVELOPMENT Any 4 full-day topics across the categories here
PROGRAMME CORE (1 CU)
TECH Spreadsheet Modelling for Decision Making
TRACK CORE (4 CUs)
ANALYTICS Data Analytics Lab
ANALYTICS Python Programming & Data Analysis
ANALYTICS Applied Statistical Analysis with R
ANALYTICS Data Science for Business*
TRACK ELECTIVES (5 CUs)
ANALYTICS Choose any 3 CUs
TECH Choose any 1 CU
ANY SERIES IN THE MITB CURRICULUM Choose any 1 CU
OPEN ELECTIVES (4 CUs)
OPEN ELECTIVES Choose any 4 CUs from the following^:
  • Internship or Capstone Project (2 CUs)
  • Courses from any series in the MITB curriculum
  • Courses from other SMU Masters programmes (up to 2 CUs)
^
Students are strongly encouraged to take up an immersive component (such as an Internship, Capstone Project or SMU-X course) during their study at MITB.

Last updated on 02 Jun 2021 .