Data Analytics & Data Science Courses
Singapore is rapidly transforming into a Smart Nation and a leading digital economy, and data skills are at the heart of this transformation. Mastering Data Science is becoming increasingly important to stay competitive in Singapore's evolving talent landscape.
Don't get left behind. Gain a competitive edge with the Data Science & Analytics courses offered by Murdoch University, in partnership with Kaplan (Singapore). The skills you’ll develop can open pathways to long-term career opportunities in Singapore’s key growth sectors, including fintech, healthtech, and advanced manufacturing. They align with national upskilling initiatives such as SkillsFuture, which provides structured pathways for you to develop in-demand expertise.
Empower yourself to contribute directly to innovation and data-driven decision-making, vital for businesses thriving in Singapore's dynamic ecosystem. From optimising supply chains to personalising customer experiences, data skills are in demand across many industries. For example, the government is actively harnessing data analytics and AI to enhance public services, driving smarter decision-making and more efficient digital policies. At the same time, businesses are increasingly seeking data-driven professionals to fuel innovation and growth, making analytics expertise an essential advantage in today’s job market.
HARNESS BIG DATA TO DRIVE REAL-WORLD IMPACT
Prepare for a future-ready career where machine learning, analytics, and business intelligence converge to shape smarter decisions across industries.
Advantages of Data Analytics or Data Science Courses
Here are some key benefits of pursuing a Data Analytics or Data Science course in Singapore:
Future-Proof Your Skills
Drive Data-Driven Innovation
Gain Global Recognition
- Master Practical Techniques
- Access Diverse Industries
- Boost Your Earning Potential
Study with Leading University Partners
Murdoch University
Partnering with leading institutions like Murdoch University, Kaplan (Singapore) offers Data Science & Data Analytics courses designed to equip you with the skills and knowledge to excel in this rapidly evolving field. For students pursuing Data Science & Data Analytics, Murdoch offers a distinctive blend of technical rigour and business strategy.
Why Study Data Science & Data Analytics with Murdoch?
- Double Majors, Double the Advantage: Murdoch University offers more than 200 Bachelor’s Degree options, but for DS & DA students, the real power lies in the Double Major. You can pair Data Science and Data Analytics with Business Information Systems, Cyber Security, FinTech, AI and autonomous systems to attain in-depth knowledge across two specialisations. This equips you with the "hybrid" skill set employers demand, systems design alongside data strategy, without extending your study duration.
- Industry-Relevant Tools & Curriculum: Go beyond theory with a curriculum designed for the real world. You will master industry-standard tools, including Python, JavaScript D3.js, Unity3D, Unreal, WebGL and more, gaining the technical skills to visualise data, influence operations research, and make strategic decisions. The programme prepares you to apply these skills in a global context, driving business intelligence and organisational success from day one.
- Flexible Schedule & Class Recordings: Designed for learners who value autonomy, this programme allows you to plan your own schedule and study at your own pace. With class recordings available, you can revise anytime, ensuring you never miss a critical concept, whether you are studying full-time or balancing work commitments.
- Global Recognition & Accreditation: Graduates are awarded a Bachelor of Data Analytics in Data Science from Murdoch University, Australia. The degree transcript is identical to that awarded to on-campus graduates in Australia, giving you a competitive edge in the job market.2026 Intake Grant: An education grant is available to local applicants for the 2026 intakes of these programmes. Please contact our programme consultant for more information.
- 2026 Intake Grant: An education grant is available to local applicants for the 2026 intakes of these programmes. Please contact our programme consultant for more information.
What Will You Learn in Kaplan’s Data Analytics or Data Science Courses?
The Data Science & Analytics courses at Kaplan (Singapore), offered in partnership with a renowned institution like Murdoch University, equip you with the knowledge and abilities to excel in a data-driven world.
Data Analytics
Data Analytics focuses on the processes of extracting, cleaning, transforming, and analysing data to uncover meaningful insights that drive decision-making, including in digital marketing.
Artificial Intelligence (AI) and Machine Learning (ML)
Artificial Intelligence (AI) and Machine Learning (ML) involve developing intelligent systems that learn from data, make predictions, and automate tasks, playing a key role in Cybersecurity by enhancing threat detection and risk analysis.
Artificial Intelligence and Autonomous Systems
Artificial Intelligence and Autonomous Systems focus on building intelligent agents that can learn and operate independently. You will explore how to design systems that process vast amounts of data to make autonomous decisions, from robotics to predictive software agents, pushing the boundaries of what machines can achieve.
Business Information Systems
Business Information Systems is the study of how Information Technology supports and improves business operations, enabling organisations to optimise processes and gain a competitive advantage.
Cyber Security and Forensics
Cyber Security and Forensics focuses on securing digital infrastructures and investigating cybercrimes. In a data-driven world, this specialisation equips you with the skills to protect sensitive information, detect vulnerabilities, and analyse digital evidence to mitigate risks and ensure data integrity.
Financial Technology (FinTech)
FinTech (Financial Technology) focuses on the intersection of finance and technology to innovate financial services. It involves applying data analysis and software development to areas like digital banking, blockchain, and algorithmic trading to optimise financial operations and drive economic value
Why Choose Kaplan (Singapore) for a Data Analytics or Data Science Course?
Choosing Kaplan (Singapore) means investing in a future-focused education that can help you build a thriving career in data analytics or data science. The programmes we offer through our partner universities feature job-ready curriculums, meticulously crafted with industry experts to ensure you master the skills employers actively seek. Benefit from our industry partnerships, which can give you access to real-world projects, exclusive networking events, and career opportunities.
Industry-Relevant Learning: Gain hands-on experience with data analytics, AI, and machine learning, ensuring you develop skills that meet industry demands.
- Recognised University Partners: Study data analytics and data science programmes from top universities, including Murdoch University, known for its strong emphasis on data-driven decision-making.
- Designed for Working Professionals: Flexible learning options, including blended learning and recorded lectures, allow professionals to upskill in data science without disrupting their careers. This is available for Data Analytics and Data Science courses in Singapore, as well as business analytics.
- Progressive Pathways: Whether you're starting with a Bachelor’s Degree or advancing to postgraduate studies, Kaplan (Singapore) offers structured pathways to deepen your expertise in data analytics.
- Graduate Support: Access career guidance and networking opportunities to transition into data science roles, ensuring you’re equipped for success in the evolving data-driven economy.
Education Progression Pathway
With structured pathways from Diploma to Bachelor’s and Master’s degrees at Kaplan (Singapore), you can progressively build expertise in Data Science & Analytics. Flexible study options, including part-time and online learning, enable working professionals to advance their careers while managing their schedules.
Many programmes feature blended learning and recorded lectures, ensuring accessibility without compromising quality. Explore all Data Science & Analytics courses or check individual programme details for more information.
Career Paths In Data Analytics & Data Science
A career in data analytics or data science puts you at the forefront of innovation, offering exciting opportunities and competitive salaries. In Singapore's dynamic job market, skilled data professionals are in high demand across all sectors. With a Data Analytics or Data Science course from Kaplan (Singapore), you'll gain the expertise to excel in roles such as:
- Data Analyst: Uncover insights from complex datasets to drive strategic business decisions (Avg. SGD 5,016/month).
- Business Intelligence Analyst: Transform raw data into actionable intelligence, shaping business strategy (Avg. SGD 7,471/month).
- Data Engineer: Build and maintain the data infrastructure that powers analysis and innovation (Avg. SGD 6,877/month).
- Machine Learning Specialist: Develop cutting-edge algorithms that enable machines to learn and predict, revolutionising industries (Avg. SGD 6,347/month).
- Data Warehouse Architect: Design and implement robust data storage and retrieval systems, ensuring data accessibility and integrity (Avg. SGD 12,859/month).
Source: Indeed Singapore (accurate as of 8 May 2025)
Make a Difference Across Industries
Kaplan (Singapore) graduates are making an impact in diverse sectors:
- Finance & Banking: Mitigate risk and detect fraud with data-driven insights.
- Healthcare & Life Sciences: Advance medical research and improve patient outcomes through predictive analytics.
- Retail & E-commerce: Personalise customer experiences and optimise marketing strategies.
- Technology & Telecommunications: Drive innovation in AI, cybersecurity, and network optimisation.
- Government & Public Sector: Develop smart city solutions and inform evidence-based policy decisions.
- Energy & Engineering: Enhance operational efficiency and predict equipment failures.
- Marketing & Advertising: Understand consumer behaviour and create targeted campaigns.
- Education & Research: Personalise learning experiences and improve educational outcomes.
- Logistics & Supply Chain: Optimise delivery routes and predict demand fluctuations.
Kaplan ( Singapore ) Success Stories
Kaplan (Singapore) alumni work across Singapore's data-driven landscape, applying their skills in various industries. The Data Analytics and Data Science courses we offer through partner universities are designed to help you develop practical knowledge, address workplace challenges, and contribute meaningfully in your chosen field.Success Stories – Kaplan (Singapore)
Life Beyond Classrooms
Industry Internships & Co-Op Programmes
Gain valuable, hands-on experience in Singapore’s industries, understand the local business landscape, and build a professional network that can enhance your prospects of securing a graduate role in Data Science and Analytics.
Data Science / Analytics / AI Student Clubs
Start your own interest groups or initiatives to build peer networks, hone practical skills, gain leadership experience, and connect directly with alumni and professionals shaping Singapore's data science and analytics sectors.
Data Challenges & Competitions (Local & Regional)
Apply your skills to solve locally relevant problems, gain recognition within Singapore's vibrant tech scene, and network with sponsoring companies and government agencies. Win attractive prizes and unlock potential career opportunities.
Leveraging SkillsFuture & Local Training Providers
Acquire specific, in-demand technical skills tailored to the Singaporean job market, including cloud platforms (AWS/Azure/GCP), machine learning techniques, and data engineering fundamentals. Earn industry-recognised certifications that set you apart.
Career Fairs (University & Industry Specific)
Secure internships and graduate positions, gain valuable market insights, and build initial industry contacts within Singapore's thriving business analytics, data science and analytics fields.
Networking via Local Meetups & Communities
Engage in informal learning and network with professionals across diverse industries in Singapore. Gain insider knowledge on job opportunities, current trends, and challenges faced by local companies in the data science and analytics sectors.
Life Beyond Classrooms
Experience Kaplan’s supportive learning environment inside and out.
A Supportive Environment
At Kaplan, our conducive environment helps stimulate minds, encourage exploration and achieve excellence. Find out how this helped our student Jordan Sukaimi become a World Dance Champion! Check out the video here.
Learn more about the Kaplan way:
Culture of Support
Future Ready
Student Engagement
Career Readiness
Frequently Asked Questions
What is the difference between Business Analytics, Data Analytics, and Data Science?
To better demonstrate the synergy between business analytics, data analytics, and data science, we have prepared a diagram that demonstrates where it overlaps, and where it defers.
Business Analytics (Synergy of: Business Strategy + Math): When you apply statistical insights directly to corporate challenges, you get Business Analytics.Business Analytics Ffocuses on interpreting structured business data to drive strategic decisions, often using statistical methods and visualisation tools.
Data Analytics (Synergy of: Computer Science + Math): When you combine the technical ability to mine and clean raw data with the statistical skills to find patterns, you get Data Analytics. Data Analytics involves processing and analysing raw data (structured and unstructured) to uncover trends, patterns, and insights across various domains.
Data Science (The Ultimate Synergy: CS + Math + Business): The center of the diagram where all three fields converge. Data Scientists are the "unicorns" who can build the code (CS), design the complex algorithms (Math), and ensure the result solves a critical industry problem .
It is a broader field that integrates machine learning, AI, and advanced algorithms to build predictive models and automate data-driven solutions.
The venn diagram above shows the differences and overlaps between
Are there hands-on projects and real-world applications?
Yes! The Data Science & Analytics programmes Kaplan (Singapore) offers with partner universities emphasise practical learning, including industry projects, case studies, and AI-driven applications. Students work on real-world datasets to develop skills in predictive modeling, business intelligence, and automation.
How relevant are these skills in the Singaporean job market?
Data Science & Analytics skills are highly sought after in Singapore, with demand across industries like finance, healthcare, e-commerce, and cybersecurity. Companies are investing heavily in data infrastructure, making graduates valuable for roles in AI, machine learning, and business intelligence
What is the course duration and format (full-time, part-time, online)?
Kaplan (Singapore) offers flexible study options, including full-time, part-time, and online learning.
- Bachelor’s Degree: Typically 12-week terms, available full-time and part-time.
- Master’s Degree: Part-time and full-time options, with blended learning and recorded lectures for accessibility.
For more details, explore our Data Science & Analytics courses.
Are there opportunities for internships or industry placements?
Yes! Kaplan (Singapore) collaborates with industry partners to provide internships and placements for students. These opportunities help students gain real-world experience in data analytics, AI, and cybersecurity
Are there scholarships or financial aid options?
Yes, Kaplan (Singapore) offers a range of scholarships, bursaries, and financial assistance schemes. This includes education loans and repayment support for eligible students.
What are the entry requirements for international students?
International applicants must meet these academic and English language requirements:
- Diploma: Completion of secondary education or equivalent.
- Bachelor’s Degree: Completion of Diploma or equivalent.
- Postgraduate Degree: A recognised Bachelor’s Degree and relevant work experience (for some programmes).
- English Proficiency: IELTS 6.0 or equivalent.