Programme Code: GDAV

Overview

Register for our programme briefing session on 8 Mar 2025 (Sat) to have your queries answered by our faculty on campus. Meanwhile, do visit our Open House webpage at your own time to read our student and employer testimonials, or watch specially curated videos on our video wall to experience SUSS through our people.

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The business world is increasingly reliant on data-driven decision-making and insights. What was once the domain of statisticians and computer scientists is now a critical skillset for business executives who can use data to transform their organizations at an unprecedented pace.

The Graduate Diploma in Analytics and Visualisation (GDAV) programme offers a comprehensive curriculum that will enable you to become proficient in leading-edge tools such as R, Python, MySQL, and SPSS Modeler for data visualisation, wrangling, and analytics-driven decision-making. You will also learn open-source and enterprise tools in automation, allowing you to streamline data and workflow processes and deliver powerful business solutions.

By completing the GDAV programme, you will acquire practical skills for a data-related role and gain valuable intuition in translating and addressing business problems using methods in data analytics, which are increasingly important in today’s data-driven organizations.

What our students say:

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As a post-grad student, I found the GDAV programme to be well-structured and very enriching. The curriculum is well-calibrated and many of the modules contain real-life practical applications. 

To this end, kudos to all the lecturers for being very patient and professional. All these helped with my learning journey as well as allowing me to confidently apply the knowledge gleaned from the course to the workplace. I fully recommend the GDAV! 

Marcus Lee, GDAV ‘22

Getting started on a new skill is never easy. Despite that, the professors in the GDAV course were very patient and knowledgeable while sharing their real-life experiences.

I was able to pick up many new skills for data analytics using R, Python, MySQL, even automation tools such as ServiceNow and UiPath, which would definitely be put to use in my workplace.

Norine Liana Juri, GDAV ‘23 

 

Unique Features of the Programme

  • The programme is designed with a strong industry focus, providing you with practical skills and knowledge that can be immediately applied in a data-related work environment.
  • You will learn how to use a range of leading-edge tools in data analytics tools such as R, Python, MySQL, and SPSS, as well as open-source automation tools like UiPath and enterprise-grade platforms for workflow automation.
  • You will become competent in completing various tasks in an analytics workflow, from data visualisation, data wrangling and machine learning, and gain valuable skills in translating business problems into actionable tasks that can be addressed with data analytics methods.
    As part of the programme, you will have the opportunity to complete an applied project in a structured learning environment, closely guided by both an industry or academic mentor, to help prepare you for a data-related role in the industry.
  • The courses are designed to be self-contained, and no prior knowledge of analytics or programming is assumed.
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Career Prospects

The GDAV programme provides a strong foundation for pursuing diverse data-related roles across different industries. Graduates of the programme can explore careers in positions such as data analysts, business analysts, analytics and automation solutions architects, and managerial roles responsible for driving data and automation initiatives within an organization.

Programme Structure

GDAV students are required to complete 30 credit units (cu) of coursework. However, they can also opt to exit with the Graduate Certificate in Analytics and Visualisation (GCAV) upon completion of 15 cu of courses. Courses are based on a 5-cu configuration unless stated otherwise. The candidature for GDAV has a minimum period of one (1) year and a maximum period of two (2) years. Classes are conducted in the evenings during weekdays, so students can continue to work in the day and study in the evening.


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Curriculum

Download Curriculum Plan

Admission Requirements

Refer to general admission criteria for graduate programmes.

This programme is currently unable to take in international students, i.e., you must be a Singapore citizen, permanent resident or a resident in Singapore (e.g., Employment Pass holder) in order to apply for admission.

Applicants will be required to submit a CV detailing their relevant experience (education, training and/or work).  Applicants are also encouraged (not mandated) to include the contact information (email address and/or phone number) of at least one referee.

Financial Assistance

The University offers course fee concession for selected graduate programmes. Please click here for more details.