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REGISTRATION PERIOD     APPLICATIONS CURRENTLY CLOSED

COURSE DATE 21 Apr 2025 - 19 Apr 2026 COURSE DURATION / FREQUENCY 3 hours/session (2 days/week)
MODE OF LEARNING Facilitated Learning (Face-to-Face/ Online Synchronous) and Asynchronous E-Learning COURSE VENUE Temasek Polytechnic

Course Overview

Most data science projects require sophisticated computing, mathematical and analytical skills. However, all this has changed with new technologies such as augmented analytics and automated machine learning.

 

You would not require a professional background in technology as this programme will train and guide you to easily apply sophisticated analytical techniques and algorithms for data science projects. You will learn augmented analytics in data preparation, exploration, and insight discovery, as well as use automated Machine Learning (ML) to operationalize machine learning models. Be equipped with the skills to select the appropriate tools for visualisation and employ storytelling techniques to communicate data insights to optimise business decisions. 

 

With these skills, you would be able to carry out more complex data science projects on your own and augment the work of your current data scientists.


All students are required to bring their own notebooks for lessons. You may refer to the required technical specifications for notebook HERE.

What You'll Learn

To be awarded the Specialist Diploma, participants are required to complete a total of 2 Post-Diploma Certificates (PDCs). A certificate will be issued upon successful completion of each PDC.

Subject Code Subject
icon-arrow-orange CDS1C01 Augmented Data Preparation

This subject covers the fundamental principles of data preparation and the skills involved in automating data preparation tasks. The subject includes understanding augmented analytics life cycle, preparing data for a specific problem and using the right tools to transform the data into analytics-ready datasets.

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icon-arrow-orange CDS1C02 Automated Machine Learning

This subject covers the fundamental principles in Machine Learning (ML) and the skills involved in automating ML modelling and model operationalisation. This includes how to identify the ML problem and go through the ML lifecycle by using the right tools to accelerate the configuration and optimisation of the target and parameters for predictive model building, and utilise metrics to determine the best model.

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Subject Code Subject
icon-arrow-orange CBG1C03 Data Visualisation Fundamentals

This subject covers graphing fundamentals, graphing properties and building dashboards for reporting purposes using relevant statistical modeling and analysis techniques. Topics covered include the preparation and analysis of visualised data to support managerial decision-making.

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icon-arrow-orange CDS1C03 Data-driven Storytelling

This subject covers the formulation of data science problem statements, applies the data storytelling framework and principles of data visualisation to enable business users to effectively communicate and narrate findings and insights relevant to business contexts.

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Modes of Assessment

 

You will be assessed by coursework. There is no examination for this course.


For more information on course fee / schedule, or to apply,

Hear from our Learners

Career Opportunities

Graduates can expect good employment prospects to solve business problems using data with greater depth and breadth across many industries such as government organisations, financial and banking institutions and consulting firms as business intelligence analysts, business analytics specialists, business analytics tech consultants, Customer Relationship Management (CRM) analysts, data mining specialists, data warehousing specialists, web & social media analysts and research analysts.

Entry Requirements

 

A Polytechnic Diploma or ITE Technical Diploma / Technical Engineer Diploma / Work-Learn Technical Diploma or equivalent
OR
A Bachelor’s Degree or equivalent
OR

A Post-Secondary Certificate

AND with at least 3 Years of relevant working experience

Suitable For

This course is targeted at Diploma graduates and Professionals, Managers and Executives (PMEs) who are keen to perform advanced analytics in enhancing their line-of-business roles.

FAQs

What is the difference between the Specialist Diploma in Business Analytics (SDBA) and Specialist Diploma in Data Science for Business (SDDSB)? How will I benefit from the programmes?

What is the difference between the Specialist Diploma in Business Analytics (SDBA) and Specialist Diploma in Data Science for Business (SDDSB)? How will I benefit from the programmes?

Are the admission requirements the same for the Specialist Diploma in Business Analytics and Specialist Diploma in Data Science for Business?

Are the admission requirements the same for the Specialist Diploma in Business Analytics and Specialist Diploma in Data Science for Business?

Which programme allows me to become a data scientist?

Which programme allows me to become a data scientist?

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Course Contact

  • Mainline 67881212
  • Monday - Thursday: 8:30am - 6:00pm
    Friday: 8:30am - 5:30pm
     
    Closed during lunchtime, 12:00pm - 1:00pm
    and on weekends and public holidays.

  • https://www.tp.edu.sg/tsa
  • Temasek SkillsFuture Academy (TSA)
    Temasek Polytechnic
    East Wing, Block 1A, Level 3, Unit 109
    21 Tampines Ave 1
    Singapore 529757

  • Temasek Polytechnic reserves the right to alter the course, modify the scale of fee, amend any other information or cancel course with low enrolment.