CET

Executive Certificate in Data Analytics and Data Visualisation

Overview

The Executive Certificate Programme in Data Analytics and Data Visualisation has been designed to support the strategic upskilling needs of employees in data analytics and data visualisation as the Singapore government continues to advocate for wider adoption of analytics by businesses and industries to improve their productivity.

Requirements for Award of Executive Certificate

The award of the Executive Certificate in Data Analytics and Data Visualisation requires the successful completion within the maximum candidature of all four one modular-credit (1 MC) courses in the programme with at least a “C” grade in each course.

Participants who do not obtain at least a “C” grade in any course may repeat that course (with fees) to obtain a “C” grade, or better, as long as they have not exceeded the maximum candidature period.

Participants who do not obtain at least a “C” grade in any course within the maximum candidature will be issued a Certificate of Participation for that course.

 

Admission Criteria

Applicants seeking admission to the Executive Certificate Programme must have a Bachelor’s degree. Applicants may be required to show relevant work experience. Applicants with other qualifications and experience may be considered on a case by case basis, subject to approval by the Department of Statistics and Applied Probability.

Maximum Candidature

The maximum period of candidature for the Executive Certificate Programme is 24 months.

 

Programme Structure and Mode of Teaching, Learning and Delivery

The Executive Certificate Programme is offered on a part-time basis. International participants pursuing the programme will not be issued with student passes.

Each course in the programme will be delivered over three weeks using a combination of e-learning and facilitated learning. There will be assessments that track the progress and competency of the participants. Each course culminates in a data-analytic project which allows participants to showcase the knowledge they gained.

The courses for the Executive Certificate Programme are shown below:

Short Courses

MC

Contact Hours

Course Date

1.

DSA5811 Data Analytics: Principles and Practice

1

9 hours

31 August to 18 September 2020 (3 weeks)

2.

DSA5812 Data Analytics: Further Principles and Practice

1

9 hours

21 September to 9 October 2020 (3 weeks)

3.

DSA5821 Data Visualisation: Principles and Practice

1

9 hours

14 September to 2 October 2020 (3 weeks)

4.

DSA5822 Data Visualisation: Further Principles and Practice

1

9 hours

5 October to 23 October 2020 (3 weeks)

 

 

DSA5811 Data Analytics: Principles and Practice

With the abundance of available data today, many organisations are looking to leverage insight from that data for decision-making. Having the skills required to work with data provides a competitive edge. This course introduces basic concepts and tools in analytics. They will allow an individual to obtain an understanding of his/her data with the goal of making decisions from it. There will be a focus on practical methods that are applicable to a wide range of data sets, types and domains.

DSA5812 Data Analytics: Further Principles and Practice

This course introduces intermediate concepts and tools in analytics, building on the foundation gained in Data Analytics: Principles and Practice for problem formulation and problem-solving using data. It equips the participant with the basic knowledge to build models, understand them and diagnose their performance. To demonstrate the application of these concepts, this course introduces the linear regression model, Bayesian models and time series models.

DSA5821 Data Visualisation: Principles and Practice

Data visualisation empowers organisations to effectively communicate actionable conclusions from their data for decision-making. This course will provide participants with a foundation in data visualisation principles. These include identifying the foundational elements of a graph and discussing the value of a chart. The practical aspect will delve into data retrieval and cleaning procedures in preparation for plotting.

DSA5822 Data Visualisation: Further Principles and Practice

This course builds on the topics in Data Visualisation: Principles and Practice to further equip the participant with skills for generating domain-specific graphics. Participants will gain experience with techniques from high-dimensional data sets and unstructured data sets.

 

Assessment and Grades

The short courses in the Executive Certificate Programme are graded.

Application and Course Fees

Application

Candidates interested in the Executive Certificate must apply for the Certificate at the NUS Online Application Portal: click on the last blue bar ‘For Alumni under the NUS Resilience & Growth Initiative 2020’ (this bar will only be available on 1 June), and then click on  ‘Executive Certificate Programmes’ under the application period of 10 August 2020 to 18 August 2020.

The next run of the Executive Certificate Programmes will commence in January 2021. Application is expected to open in November/December 2020. Please visit our webpage for the latest update.

 

Course Fees

Please visit NUS Resilience and Growth 2020 page https://scale.nus.edu.sg/nus-resilience-growth-2020 for the redemption of Virtual Voucher.

The University reserves the right to review and adjust the course fees and make changes to the programme structure and requirements as necessary and accordingly without prior notice.