Top 7 Polytechnics, Universities & Bootcamps to Learn Data Analytics in Singapore

In today’s data-driven world, the ability to analyze and interpret data has become one of the most valuable skills across industries. As a global tech hub, Singapore offers a wide range of educational opportunities for those eager to develop their expertise in data analytics. With so many courses to choose from, selecting the right one can feel overwhelming. Whether you’re a student, a professional looking to upskill, or someone considering a career switch, this guide will help you navigate the top institutions and courses in Singapore that specialize in data analytics.

Top Polytechnics for Diploma in Data Analytics

If you have just completed your secondary school education, and are keen to pursue a diploma in Data Analytics, the following details some of our top choices. We have also listed the reasoning behind our decision.

1. Ngee Ann Polytechnic – Diploma in Data Science

Ngee Ann Polytechnic offers a Diploma in Data Science that provides students with a comprehensive education in data science fundamentals, machine learning, and artificial intelligence (AI). This program emphasizes experiential learning through a one-year industry-driven project, internships, and hands-on workshops. Graduates also have opportunities to pursue additional industry certifications such as the Alteryx Core Designer and Salesforce’s Lightning Experience Reports & Dashboards Specialist Superbadge. Students work on real-world data analytics projects in collaboration with industry partners like OCBC and Indorse, making them industry-ready by graduation.

Duration: 3 years

Why It Stands Out: Strong industry partnerships and opportunities for real-world projects in data science.

2. Temasek Polytechnic – Diploma in Big Data & Analytics

Temasek Polytechnic’s Diploma in Big Data & Analytics is designed for students interested in understanding how to work with large data sets. The course covers data management, statistical methods, and predictive analytics. Students gain hands-on experience with cutting-edge tools and technologies to manage, visualize, and analyze big data, preparing them for roles such as data analysts and data engineers.

Duration: 3 years

Why It Stands Out: Emphasis on big data technologies and predictive analytics, preparing students for future roles in data-heavy industries.

3. Singapore Polytechnic – Diploma in Applied AI & Analytics

The Diploma in Applied AI & Analytics at Singapore Polytechnic blends AI with data analytics, providing students with the ability to apply AI algorithms and machine learning to solve complex problems. The course offers real-world projects, teaching students how to deploy AI-driven solutions and work with analytics tools like Python, SQL, and Tableau.

• Duration: 3 years
• Why It Stands Out: Focus on AI and analytics integration, practical applications, and exposure to emerging technologies

Top Universities for Bachelors Degree in Data Analytics

If you have completed your A Levels or attained your diplomas and are looking for a bachelor’s degree in Data Analytics to further your skills, the following programs details our top choices for this category.

1. National University of Singapore (NUS) – Bachelor of Science in Data Science and Analytics

NUS’s Bachelor of Science in Data Science and Analytics is one of the most recognized programs in Singapore. The course provides a solid foundation in mathematics, statistics, and computing, with a specific focus on data science and machine learning. The curriculum includes hands-on data analysis projects and internships with leading tech companies in Singapore.

• Duration: 4 years
• Why It Stands Out: NUS is consistently ranked as one of Asia’s top universities, with strong ties to industry partners and research opportunities.

2. Nanyang Technological University (NTU) – Bachelor of Science in Data Science & Artificial Intelligence

The Bachelor of Science in Data Science and Artificial Intelligence (DSAI) at Nanyang Technological University (NTU) is a cutting-edge program that merges the fields of data science and AI, reflecting the increasing demand for professionals skilled in these areas. This program aims to equip students with the technical expertise required to handle vast amounts of data and deploy AI technologies in practical applications across various industries.

• Duration: 4 years
• Why It Stands Out: NTU’s strong focus on research and industry collaborations makes this program highly respected in Singapore and beyond.

Top Universities for Masters Degree in Data Analytics

This is a special one. For those that, already have a bachelor’s degree, and are considering a Master’s degree to further your skills and credentials, we have the ultimate recommendation.

1. Georgia Institute of Technology – Online Master of Science in Analytics

The Online Master of Science in Analytics (OMS Analytics) from Georgia Tech is a globally recognized program that offers professionals the flexibility to earn a master’s degree while continuing to work. This program is renowned for its rigorous curriculum, combining advanced topics in machine learning, data science, and statistical modeling, making it a perfect fit for those looking to deepen their knowledge in data analytics and AI.

Why We Personally Vouch for It

At Heicoders Academy, many of our former students and even some of our current instructors who work full-time in top tech companies have completed the Georgia Tech OMS Analytics program. Their success stories have shown us firsthand the impact and quality of this program. It has empowered them to secure key roles in top tech firms like Google, Amazon, and Microsoft. Because of this, we personally vouch for the program as an excellent pathway for anyone looking to elevate their data analytics and AI skills.

Synergy with Heicoders Academy’s AI Nanodegree

There is a natural progression from our AI & DA Nanodegree program to Georgia Tech’s OMS Analytics. Many of our students take up to AI300 as preparation for Georgia Tech’s program, building a strong foundation in machine learning and AI fundamentals before diving into advanced topics. The skills taught in our courses—such as Python programming, statistical analysis, and machine learning—align closely with the curriculum at Georgia Tech, making the transition smoother for those looking to advance further in their studies.

Top Short Courses / Bootcamps for Data Analytics

1. Heicoders Academy – Data Analytics Nanodegree

Image 2: Heicoders Academy Data Analytics Course

Overview: Heicoders Academy offers a comprehensive Data Analytics Nanodegree designed for both beginners and intermediates. The course covers essential topics, including data manipulation, statistical analysis, and data visualization using popular tools like Python and Tableau.

Specific Courses: The Data Analytics Nanodegree comprises three courses designed for beginners without any background knowledge. Each course completion earns a certificate, and the successful completion of all three courses awards an additional Data Analytics Nanodegree certificate.

DA100: Data Analytics with SQL and Tableau

• This course introduces fundamental concepts of data analytics, including data management with SQL and data visualization with Tableau. Students will learn to build and deploy interactive dashboards, generate actionable insights, and perform advanced SQL queries. The course includes a capstone project where learners create and deploy a Tableau dashboard using real-world data.

AI100: Python Programming and Data Visualisation

• AI100 is designed to equip learners with a solid foundation in Python programming. It covers Python syntax, data structures, functions, and data visualization techniques using libraries like Matplotlib and Pandas. Students will also work on a case study involving geospatial visualization and exploratory data analysis.

AI200: Applied Machine Learning

• AI200 delves into machine learning, teaching learners how to train and evaluate models for various problems like classification, regression, and clustering. The course covers both supervised and unsupervised learning algorithms and emphasizes practical application through interactive projects and case studies.

Cost: The cost of the Data Analytics Nanodegree can be significantly reduced through various subsidies. Singaporeans aged 40 and above can enjoy up to 70% IBF subsidy, while those below 40 and all PRs can receive up to 50% IBF subsidy. Additionally, SkillsFuture Credits can be used to offset the remaining course fees for Singapore Citizens aged 25 and above.

Who It’s For: The program caters to various learners:

• Beginners: Those looking to transition into a data analytics career can start with DA100 and AI100 or complete the full Nanodegree (DA100 + AI100 + AI200).
• Students: For those without tech background but are about to embark on a tech diploma or degree, the Nanodegree is also a great way to prepare yourself in order to smoothen your learning curve later on. In fact, may students that took our Nanodegree have went on to do very well in their diploma and degree (e.g. Dean’s list).
• Professionals Seeking Exposure: Individuals wanting a big-picture understanding or to incorporate data analytics into their current roles can benefit from taking just DA100.

Pros and Cons: 

• Pros: The Nanodegree has successfully helped many learners transition into data analytics careers. It provides practical skills designed to prepare learners to excel in the industry. The curriculum is comprehensive, covering essential tools and techniques used by data professionals.
• Cons: Due to its rigorous nature, the course demands a significant time commitment and effort, making it more intensive than average data analytics courses.