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| REGISTRATION PERIOD 06 June 2025 - 20 August 2025 |
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| COURSE DATE | 20 Oct 2025 to 18 Oct 2026 | COURSE DURATION / FREQUENCY | 3 hours/session (3 days/week) |
| MODE OF LEARNING | Facilitated Learning (Face-to-Face/ Online Synchronous) and Asynchronous E-Learning | COURSE VENUE | Temasek Polytechnic |
In the fast-changing financial world, insights gained from financial data are highly valuable. This course equips you with knowledge and skills in statistics, business intelligence and visualisation tools to analyse and gain insights and revelations about financial data sets. You will learn to apply industry-standard tools like Power BI and Tableau to real-world challenges. You will also be able to apply business intelligence techniques to produce reports on business performance and financial analytics reports.
Upon completing the course, graduates will be able to undertake the following responsibilities:
THREE CERTIFICATIONS IN 4 SEMESTERS
This course shares a common first semester with the Specialist Diploma in Business Analytics and the Specialist Diploma in AI-Driven Data Analytics. By completing a total of four semesters, you can earn all three Specialist Diploma certificates.
TRAINING DATA ANALYSTS FOR THE FINANCIAL INDUSTRY
This course has a specific focus on training graduates for the finance industry across different financial sub-sectors, hence its materials and use cases focus predominantly on financial data.
All students are required to bring their own notebooks for lessons. You may refer to the required technical specifications for notebook HERE.
| Subject Code | Subject | ||
|---|---|---|---|
| CDA1C01 | Data Visualisation
This subject focuses on developing skills in creating compelling narratives through data visualisation tools. It also covers various visualisation techniques, transforming data into actionable insights and effectively communicating complex data findings. |
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| CDS1C03 | Data-driven Storytelling
This subject introduces techniques for communicating data findings, tailored to a target audience, by connecting the dots using compelling narratives and visuals such as storyboarding. It also covers using Generative AI to craft narratives and optimise the storytelling process. |
| Subject Code | Subject | ||
|---|---|---|---|
| CFT1C01 | Fintech & Financial Services
This subject introduces students to core financial services, banking and new fintech business models. Students will also learn and compare the current financial processes to new fintech business models and evaluate their strategic, operational and regulatory requirements based on Singapore’s regulatory policies. Students will also explore the key success factors for fintech solutions, using the design thinking approach. |
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| CFT1C05 | Data Analytics in Financial Services
This subject introduces students to data analytics techniques and provides them with hands-on experience in using appropriate data analytics tools and software to turn financial service data into actionable insights. Students will also be introduced to data wrangling concepts and work with industry partners on real world problem statements for projects in this module. This will enable students to understand how domain knowledge such as banking and financial services can interact with the different areas of analytics applications. |
Modes of Assessment
The assessments would comprise a combination of coursework components such as written and practical tests, case studies, assignments and projects.
Graduates can expect good employment prospects across many industries such as government, financial and banking institutions and consulting firms in the following types of positions:
With the revised course structure, graduates will also be well-equipped for roles such as:
Data Visualisation Specialist – Specialises in translating complex financial data into compelling visual narratives and leveraging storytelling techniques to communicate data-driven insights effectively within the financial services sector.
This expanded skillset enhances graduates' ability to drive data-informed decision-making, making them valuable assets in today's data-driven economy.
The minimum entry requirement for both courses is the same. Prior knowledge of programming is not a requirement in both courses.
The Specialist Diploma in Business Analytics (SDBA) and the Specialist Diploma in Financial Analytics (SDFA) are both designed to equip learners with essential data analytics skills, but they differ in focus and industry application. The SDBA is business-centric and emphasises the practical use of analytics to gain insights and support decision-making across a wide range of industries. It is especially suitable for individuals without a technical background, as it does not require programming knowledge. This programme is ideal for those who wish to apply data-driven thinking to improve business performance and contribute to strategic decision-making within their organisations.
In contrast, the SDFA is tailored specifically for the finance sector. It focuses on both traditional financial services and emerging Fintech business models, helping learners understand how to apply analytics within financial contexts. The programme prepares students to analyse financial data and extract insights that support roles in financial analysis, business intelligence, and Fintech innovation.
Both programmes offer strong career benefits. Graduates will gain in-demand analytical skills that enhance their ability to turn data into actionable insights, making them valuable assets in today’s data-driven economy. While the SDBA is best suited for those looking to apply analytics broadly across industries, the SDFA is more appropriate for individuals aiming to specialise in finance or Fintech-related roles.
Data Visualisation and Data Storytelling continue to be highly valued across a wide range of industries. According to SkillsFuture Singapore and various Job Transformation Maps (JTMs), data storytelling is a key differentiator in sectors such as finance, sustainability, and logistics. These skills play a crucial role in turning complex data into clear, actionable insights that support better decision-making. As a result, employers consistently seek professionals who can communicate data effectively, making these capabilities both relevant and indispensable in today’s job market.
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 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.
