Frequently Asked Questions

Frequently Asked Questions for Admitted Students

During the online matriculation, students will be asked to check and verify their particulars, upload a digital photo and activate their SMU email account. You will need to have internet access and the process should not take more than 30 minutes.

Once you have successfully performed the online matriculation, you will have access to your SMU email address.

SMU’s IT Helpdesk offers a range of hardware/software services to students. However, these are available only after you’ve completed your online matriculation. You may buy your laptop through SMU’s bulk purchase scheme. You can also bring your laptop to IT helpdesk for them to assist in configuration and installation:

Contact Us

Location:Basement 1, School of Accountancy
Phone:6828 0123
Email:helpdesk@smu.edu.sg

Operation Hours

Open:Mon-Fri: 8:30am -7:00pm
(Last walk-in 6:30pm)
Closed:Sat, Sun and Public Holidays

Click here for a list of available IT helpdesk services.

IT Welcome Kit

The IT Welcome Kit consists of a series of helpful short guides to inform and help new students get started with the various IT services on campus. The kits also cover some of the commonly asked questions or commonly faced issues that many new users may have/face being new to SMU IT environment.

To access the welcome kit : https://iits.smu.edu.sg/welcome-kit

Please ensure that your laptop meets the minimum specifications here: specifications. This is required if you are taking MITB courses.

For Students Reading Financial Technology & Analytics Courses:
  1. Pre-course readings
For Students Reading Analytics Courses

Recommended:

  1. Python for Everybody (Getting Started with Python), University of Michigan (via Coursera) https://www.coursera.org/learn/python

  1. Data Science Specialization by Johns Hopkins in Coursera (via Coursera) https://www.coursera.org/specializations/jhu-data-science#courses

    1. Course 1: The Data Scientist’s Toolbox https://www.coursera.org/learn/data-scientists-tools
    2. Course 2: R programming https://www.coursera.org/learn/r-programming
    3. Course 3: Getting and Cleaning Data https://www.coursera.org/learn/data-cleaning
    4. Course 4: Exploratory Data Analysis https://www.coursera.org/learn/exploratory-data-analysis
  2. SQL for Data Science, University of California, Davis (via Coursera) https://www.coursera.org/learn/sql-for-data-science

Optional:

  1. Data Science Specialization by Johns Hopkins in Coursera (via Coursera) https://www.coursera.org/specializations/jhu-data-science#courses

    1. Course 6: Statistical Inference https://www.coursera.org/learn/statistical-inference
    2. Course 7: Regression Models https://www.coursera.org/learn/regression-models
    3. Course 8: Practical Machine Learning https://www.coursera.org/learn/practical-machine-learning

  2. JavaScript Tutorial, w3schools (www.w3schools.com/js/)

For students reading AI courses:

  1. Please refer to below course materials:

EngD students can apply for preferential parking, which is 30% off the usual rate for parking at LKCSB carpark only. Parking at Admin building and SOL building is at public rate.

Annual preferential parking application fee is $10 and is valid for one year. Please refer to here on application for preferential parking.​​​​​​​
[Note: only matriculated students can apply]

Please click here for details.