Postgraduate Data Analytics Course Singapore

While not a university master’s degree, this course is considered postgraduate-level because of its depth, structure, and accreditation. It is certified by the Institute of Banking and Finance (IBF) and is recognised by employers across Singapore as advanced training in data analytics. It provides learners with hands-on experience in industry-standard tools, real-world case studies, and a capstone project. For learners who already hold a degree or equivalent work experience, this programme offers the structure and credibility of postgraduate training without the high cost or time commitment of a full degree. It is an ideal fit for professionals looking to formalise or elevate their data capabilities.

You don’t need formal analytics experience, but a basic understanding of spreadsheets or business data is helpful. This course is built for learners who are ready to deepen their skills. If you’ve worked with Excel, presented reports, or handled data casually in your job, you’ll be able to follow the pace and benefit from the structure. Everything is taught from the ground up using professional-level applications. The first few modules reinforce the foundations, then quickly advance into layered analysis, dashboard development, and AI-enhanced workflows. If you’re unsure about your starting point, the admissions team can help assess your readiness for this level.

You’ll work with three core tools: Excel, SQL, and Tableau — with AI elements layered throughout. You’ll learn how to use Excel not just for formulas, but for automation and scenario modelling. SQL will cover multi-table querying, nested statements, and efficient filtering. Tableau will be used to build dashboards that can filter, segment, and visualise complex business datasets. Additionally, you’ll explore AI tools that help automate data preparation, accelerate analysis, and improve data communication. You’ll receive templates, guided walkthroughs, and live demonstrations for every task. These tools are widely used across industries, and mastering them helps prepare you for real-world analytical challenges.

The course includes 7 sessions held over weekday evenings or weekends. Each session is 3 hours long, making the total programme approximately 21 hours. The format is intensive but manageable — designed for working professionals and postgraduate-level learners. The structure balances concept introduction, live demo, interactive practice, and weekly recap. You’ll have access to all recordings for future revision, as well as teaching assistant support for extra help. The final project brings everything together, simulating a full analysis cycle. Most learners complete the course in 3 to 5 weeks depending on their chosen schedule. It’s a focused, outcome-driven format that respects your time while delivering depth.

This course prepares you for advanced data-related roles such as Data Analyst, Business Intelligence Executive, Analytics Consultant, or Data-Driven Project Manager. It also benefits professionals in leadership or strategic roles who want to use analytics more effectively in decision-making. Many learners use this course to pivot into the tech sector, while others gain an edge in finance, marketing, logistics, or operations. Because the course includes a capstone project, you’ll graduate with portfolio-ready work to support job applications or internal advancement. Whether you’re aiming to move up, move out, or move into analytics formally, this course gives you the practical and professional foundation to make the shift.

Yes — graduates receive continued access to recorded content and learning materials, as well as career support resources. You’ll also be able to join the Vertical Institute alumni network, where learners share job opportunities, tips, and industry updates. For those seeking new roles, career advisors can provide guidance on how to position your new certification and capstone project on your CV and LinkedIn profile. Many graduates are also referred to hiring partners within Singapore’s business and tech ecosystem. Whether you’re seeking a job switch or applying new skills in your current role, support does not end with the last class — it continues as you grow.

The capstone project is a final applied task where you bring everything together to analyse a real-world dataset, develop dashboards, and present key insights. It mirrors the process data professionals follow in the workplace — from data cleaning and structuring in Excel, to analysis using SQL, and final storytelling in Tableau. You’ll apply AI-supported features where relevant, such as prompt-based query building or auto-report writing. The goal is to simulate a real business challenge and show how you’d approach it from end to end. The finished project can be included in your job portfolio or shared during interviews as proof of your skill level and readiness.

Yes — most Singaporean learners are eligible for substantial funding, and some pay zero out-of-pocket fees. If you’re aged 40 and above, you can receive 70 percent IBF funding, and use your SkillsFuture Credits to fully offset the remaining 30 percent. Those under 40 receive 50 percent IBF subsidy and can also apply up to $1,000 in SkillsFuture. NTUC members may claim UTAP reimbursement, covering 50 percent of the balance (up to $500 annually). You can check exact figures using the course provider’s funding calculator. These subsidies make postgraduate-level upskilling highly affordable for Singaporeans and Permanent Residents.