Are you a manager, data analyst or business analyst looking to deepen your skills in data analysis? Or do you handle data regularly and seek to better understand how to derive insights from them? This course will greatly enhance your technical capabilities in managing data, which is a versatile skillset across various industries.
Being the first Specialist Diploma in Singapore to meet the increasing demand for well-trained data professionals, we have more than 1000 graduates since it was first launched.
In this course, you will be equipped with the knowledge and skills in statistics, application of business data analysis tools and methods to effectively analyse results from data. You will learn how to apply data analysis and visualisation to improve an organisation’s performance and business intelligence.
In collaboration with:
DOUBLE CERTIFICATION IN 3 SEMESTERS
This course shares a common first semester with the specialist diploma in Financial Analytics. Completing a total of three semesters will give you two specialist diploma certificates.
PRACTICE-ORIENTED APPROACH
Course work-based curriculum with hands-on and practical subjects where you get to focus on project work and apply the data skills you acquire. We have trained more than 1000 data practitioners in the industry.
EARN GLOBALLY RECOGNIZED SAS DIGITAL BADGE
Completing this course earns you a globally recognized SAS digital badge, validating your skills and specialized training to peers and potential employers.
Minimum 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 with at least 5 Years of relevant working experience
Applicants who are Singaporean citizens or Permanent Residents (PR) can utilize their SkillsFuture Credits to enrol into the new diploma eligibility qualification program called the "Data Analytics Specialist Diploma Qualification Program." This program is a collaborative effort between Accenture Academy and Temasek Polytechnic (TP). Upon successful completion of the qualification program, learners will earn credits that can be applied towards waiving the Minimum Entry Requirement (MER) for the stackable modular course - Business Intelligence Fundamentals. This provides learners the option to stack their modular course towards achieving a corresponding full-qualification course. Visit here to learn more.
| Subject Code | Subject | ||
|---|---|---|---|
| CBA1C07 | Business Intelligence Fundamentals
This subject introduces students to a basic understanding of statistics and the application of business data analysis tools and techniques to visualise, analyse and interpret the results from these data. Students will learn essential descriptive data measures and data visualisation for describing data using tools such as Microsoft Excel and Power BI. |
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| CBA1C08 | Business Intelligence Project
This subject introduces students to the concepts and techniques of turning raw data from various sources into information to help organisations better manage their performance. Students will learn to integrate data, use relevant techniques to analyse data, and apply principles of data visualisation to increase the business intelligence quotient of an organisation. Students will learn how to present the analysis using data visualisation tools such as Power BI and Tableau. |
| Subject Code | Subject | ||
|---|---|---|---|
| CBA1C09 | Data Analytics for Business Insights
In this subject, students will learn data analytics techniques and gain hands-on experience in using appropriate data analytics tools and software. It provides opportunities for students to integrate and apply the data mining knowledge and skills acquired to make data-driven decisions in specific business domains such as Customer Analytics and Marketing Analytics. |
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| CBA1C10 | Social Media Analytics
This subject introduces students to the use of unstructured social media text from various business domains to develop actionable insights for better business decision-making. Students will acquire knowledge and skills in text analytics to perform appropriate information retrieval to spot trends and sentiments expressed in unstructured text and social media platforms. |
Modes of Assessment
Coursework with no examinations
Graduates can expect good employment prospects across many industries such as government, 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.
Graduates can also look towards upgrading their knowledge and skills in further Continuing Education and Training (CET) and executive programmes offered by local Institutes of Higher Learning such as the National University of Singapore (NUS) Strategic Technology Management Institute which offers many National Infocomm Competency Framework (NICF) certified executive courses in Business Analytics.
| Intake Info | Application Period | Course Duration | |
|---|---|---|---|
April 2024 |
To be announced |
1 year |
APPLY / REGISTER INTEREST |
Online application may close earlier for courses with overwhelming response.
For details on Application and Admission Process, please click here.
| Fees Type | Course Fees per PDC (w GST) |
|---|---|
Singapore Citizens |
|
| Aged 40 and above (Individual or SME-sponsored) | S$295.32 |
| Aged below 40 | S$449.40 |
| SME-sponsored aged below 40 | S$305.40 |
| Others & Repeat Students | S$2,966.04 |
| Non-Singapore Citizens | |
| Singapore Permanent Residents | S$1,218.24 |
| SME-sponsored (Singapore Permanent Residents) | S$321.60 |
| Others & Repeat Students | S$3,045.60 |
SkillsFuture Credit Approved. For more details, please click here.
Course fees payable is based on per Post-Diploma Certificate.
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 the Work Support Scheme (WSS); for more information, please visit:
https://www.wsg.gov.sg/programmes-and-initiatives/workfare-skills-support-scheme-individuals.html
The minimum entry requirement for both Specialist Diploma courses is similar. Prior knowledge of programming is not a requirement in both 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.
The choice you make will depend on your job aspirations and job role.
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.
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.
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.
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.
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.
Monday - Thursday: 8:30am - 6:00pm
Friday: 8:30am - 5:30pm
Closed during lunchtime, 12:00pm - 1:00pm
and on weekends and public holidays.
Temasek SkillsFuture Academy (TSA)
Temasek Polytechnic
East Wing, Block 1A, Level 3, Unit 4
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.
