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Graduate Diploma in Analytics and Visualisation

Graduate Diploma

To offer training in data visualisation, data wrangling and machine learning for a career in data analytics and data science.

Graduate Diploma in Analytics and Visualisation


Register for our programme briefing session at the SUSS Open House on 25 Feb 2023 (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.

Register now!

Data analytics is one of the fastest growing fields in the new millennium. The exponential increase in the amount of data businesses produced and the lead time to train data analysts have resulted in the shortage of data skilled workers worldwide.

Singapore is Southeast Asia's leading Big data hub and is poised to become a global Big data centre. The Graduate Diploma in Analytics and Visualisation (GDAV) programme at SUSS aims to build up the business analytics toolkits for managers to thrive in a world where success is determined by their ability to exploit an organisation's data for business insights and evidence-based decision making.

The GDAV programme will help you to acquire proficiency in implementing state-of-the-art tools such as R, Python, MySQL and SPSS Modeler for data visualisation, data wrangling, and analytics-driven decision making.

You will be exposed to the rapidly growing field of hyperautomation, where robotic process automation meets machine learning to deliver powerful business solutions.

Unique Features of the Programme

  • Each course is modular and self-contained.
  • No prior knowledge is assumed.
  • The GDAV is stackable towards the Master of Management and Master of Social Sciences. This is in line with the nation's emphasis on stackable credentials to facilitate lifelong learning.

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.

Financial Assistance

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

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.

Graduate Diploma in Analytics and Visualisation

The GDAV will benefit anyone wishing to develop practical analytics skills to deploy data-driven solutions for their businesses. The student profile who would benefit most from this programme includes managers working in organisations that generate large amounts of data (as a side effect of daily operations), which in today's context, should comprise most large organisations in the public and private sectors, and recent graduates preparing themselves to take on future roles as data-smart managers.

GDAV graduates will gain core programming skills for data visualisation and data wrangling and broad knowledge in data analytics and automation. The programme is geared towards the training of data analysts and business intelligence professionals.

  1. How long is the duration to complete the GDAV?
    The GDAV will take 12 to 24 months to complete.

  2. When are the lessons scheduled?
    Lessons are scheduled on one to two weekday evenings per week from 7pm to 10pm.

  3. What are the assessment components in each course?
    It consists a mixture of pre-course quiz, participation, group-based assignments and End of Course Assessments.
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