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Course Overview

Once upon a time, people thought they needed sophisticated computer science, mathematics and analytics skills to undertake a data science project. Now, all that has changed. With new technologies such as augmented analytics and automated machine learning a business domain professional without a background or experience in technology, can work on a data science project. This course equips you with the ability to use advanced data-driven algorithms to produce impactful and actionable insights. In fact, it empowers business professionals as well as data analytics professionals to perform more sophisticated, self-serviced analytical tasks, making them highly valued in the workplace.
 

On completion of the course, graduates will be able to:

 

  • adopt augmented analytics capabilities to streamline data preparation, data exploration and insight discovery;
  • use automated Machine Learning (ML) to automate ML modelling and model operationalization;
  • select and use appropriate tools to automatically find and visualise insights;
  • collaborate insights through effective data storytelling.

Application/Entry Requirement

At least a Polytechnic Diploma, ITE Technical Diploma/Technical Engineer Diploma/Work-Learn Technical Diploma.

 

Holders of other equivalent academic qualifications will be considered on a case-by-case basis.

 

Applicants who do not meet the entry requirements may be considered for admission to the course based on evidence of at least 5 years of relevant working experience or supporting evidence of competency readiness. Suitable applicants who are shortlisted may have to go through an interview and/or entrance test. The Polytechnic reserves the right to shortlist and admit applicants.

Who Should Attend

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.

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
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.

CDS1C02 Automated Machine Learning

This subject covers the fundamental principles of Machine Learning (ML) and the skills involved in automating ML modelling and model operationalization, without the need for extensive programming knowledge. This includes how to identify the ML problem and undertake the ML lifecycle by using the right tools to accelerate the configuration and optimization of the target and parameters for predictive model building, and utilize metrics to determine the best model.

Subject Code Subject
CBG1C03 Data Visualization 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 visualized data to support managerial decision-making.

CDS1C03 Data-driven Storytelling

Turn overwhelming and complicated data into compelling narratives by applying storytelling principles to your analytics work. This subject covers the fundamental concepts in understanding an audience and communicating findings to them in a meaningful way. This includes how to identify suitable storylines, leverage analogies and examples, and deploy productive storyboards with memorable visual representations.

Modes of Assessment

 

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

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.

Course Schedule

Intake Info Application Period Course Duration

19 April 2021

02 November 2020 - 11 January 2021

1 Year

APPLY

Course Fees

Course Fees per Post-Diploma Certificate

Fee Type Total Fees
w GST
SME-sponsored Singapore Citizens & Permanent Residents S$291.72
Singapore Citizens aged 40 & above S$282.48
Singapore Citizens aged below 40 S$423.72
Singapore Permanent Residents S$1,142.76
Others & Repeat Students S$2,863.32

SkillsFuture Credit Approved. For more details, please click here

Course fees payable is based on per MC.

Course fees will be reviewed by MOE on an annual basis and adjusted accordingly.

MOE subsidy will not be applicable for students who repeat a module or semester.

 

With effect from 1 Jul 2020, the Workforce Training Scheme (WTS) will be replaced by Work Support Scheme (WSS), for more information, please visit:

https://www.wsg.gov.sg/programmes-and-initiatives/workfare-skills-support-scheme-individuals.html

FAQs

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?

The minimum entry requirement for both Specialist Diploma courses is similar. Prior knowledge of programming is not a requirement in both courses.

What are the programming languages used in these courses?

What are the programming languages used in these courses?

There is no coding for the Specialist Diploma in Business Analytics, whereas the Specialist Diploma in Data Science for Business will expose participants to available packages that can perform AI and automated machine learning with minimum coding.

If I am interested in both programmes, which one should I embark on first?

If I am interested in both programmes, which one should I embark on first?

The choice you make will depend on your job aspirations and job role.

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?

The Specialist Diploma in Business Analytics provides training in the tools and techniques of business intelligence which enables you to know what happened in the past in order to draw insights to improve an organisation’s performance, understand their customers better and identify areas for improvement. It delves deep into data mining techniques with statistical concepts that transform data into business insights for day-to-day decision making. Those who wish to acquire skills in data preparation, data modeling, data mining fundamentals with step-by-step know-how, should apply for the SDBA course. Someone who wants to work as a Data Analyst / Senior Data Analyst, Business Analyst / Senior Business Analyst would benefit from this course.

The Specialist Diploma in Data Science for Business enhances the skills and knowledge of participants in the area of advanced analytics such as augmented analytics, automated machine learning and data driven storytelling. It targets diploma graduates and those working in the industry who have had a couple of years of domain work experience and wish to acquire skills in data science. The use of advanced data analytics tools lowers the technology barrier for things like scripting and coding – this is helpful for business domain professionals with low-tech skills as it enables them to undertake data science projects more easily. This approach helps to bridge the data skills gap and enables business users to undertake some basic data science work. AI and machine learning concepts are also emphasised to equip participants with predictive modelling competencies and to operationalise the models. Those who want to jumpstart in the area of data science and wish to pick up the fundamental skills easily should choose SDDSB.

 

Are there any differences in the job roles I can take up?

Are there any differences in the job roles I can take up?

Based on the Singapore Skills Framework Job Roles (ICT), graduates of both programmes will be able to take on similar job roles as Data Analyst / Senior Data Analyst, Business Analyst / Senior Business Analyst. You would have expanded capabilities in data mining if you take up the Specialist Diploma in Business Analytics; and in predictive modelling if you take up the 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?

Both programmes enable you to undertake work as a data / business analyst. Both courses are complementary in nature and help you to expand your skillsets. To be a full-fledged data scientist you will need to progress after completing these specialist diploma courses to take up advanced university courses.

What is data driven storytelling?

What is data driven storytelling?

Data Storytelling is an essential data science skill that everyone needs. Data driven story telling focuses on how to identify suitable storylines, leverage analogies and examples, and deploy productive storyboards with memorable visual representations to communicate findings. You will learn through case studies and learn from experienced guest speakers on how to tell your data story with clarity.

If I have completed the Specialist Diploma in Business Analytics, is it worthwhile for me to take the Specialist Diploma in Data Science for Business?

If I have completed the Specialist Diploma in Business Analytics, is it worthwhile for me to take the Specialist Diploma in Data Science for Business?

Yes, you will receive exemption for the Data Visualization subject. Also, as AI and machine learning concepts are covered in depth in the Specialist Diploma in Data Science for Business, you will gain useful skills in predictive modelling to forecast future outcomes.

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Course Contact

  • 67881212
  • 8.30 am to 6.00 pm (Mon to Thu)

    8.30 am to 5.30 pm (Fri)

    Closed on Sat, Sun & Public Holidays

  • Website: https://www.tp.edu.sg/tsa
  • Temasek SkillsFuture Academy
    Temasek Polytechnic
    East Wing Block 1A, 
    Level 3, Unit 81
    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.

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