Data Science
Master of Science (Data Science)
Learning Mode
Full Time / Part Time
Duration
1.5 Years (Full Time)
Up to 3 Years (Part Time)
Start date
March, July, November
Qualification
Master of Science (Data Science)
Fees
S$42,120 (Total Tuition Fee)
(International & Domestic Students)
Location
Curtin University Singapore
About the Course
The Master of Science (Data Science) at Curtin University Singapore prepares graduates to become data-driven decision-makers in the digital economy. This advanced program is designed for professionals and graduates who want to develop practical skills in data analysis, data engineering, machine learning, and data visualization while understanding the ethical and legal implications of data use.
You’ll explore the tools and technologies used in modern analytics environments—from Python and R programming to big data processing frameworks. With a strong emphasis on real-world applications and research-based learning, this course ensures graduates are equipped to solve complex problems using data across sectors such as healthcare, finance, logistics, and government.
Whether you are upskilling or transitioning careers, this program provides the analytical depth and practical experience necessary to thrive in today’s data-focused world.
Why choose Science at Curtin?
Industry Connected
Gain hands-on experience with industry projects and analytics tools through Curtin’s partnerships with local and global organisations.
Global Opportunities
This program is aligned with the Data Science Association and supports preparation for professional certifications in cloud and analytics platforms.
Professional Accreditation
This program is aligned with the Australian Qualifications Framework and prepares students for industry certifications in analytics and cloud platforms.
Course Overview
The MSc in Data Science delivers a rigorous curriculum covering data management, analytics techniques, machine learning, and communication of insights. Students engage in real-world problem-solving and contribute to meaningful capstone or industry-linked research projects.
This interdisciplinary degree is suitable for professionals from IT, engineering, business, or health backgrounds who seek to lead or support data-intensive functions.
Course Duration
- 5 Years Full Time (3 Trimesters)
- Up to 3 Years Part Time
Flexible delivery and trimester intake options (March, July, November)
Course Curriculum
Core Subjects Include:
- Foundations of Data Science
- Programming for Data Analytics (Python & R)
- Applied Machine Learning
- Data Engineering and Cloud Platforms
- Data Visualization and Communication
- Statistical Inference and Predictive Modelling
- Ethics, Law and Governance in Data Science
Optional Electives:
- Business Intelligence
- Health Data Analytics
- Advanced Data Mining
- AI Strategy and Deployment
Project-based assessments, industry datasets, and teamwork are core features of the learning experience.
Admission Requirements
- A recognised Bachelor’s degree in a relevant discipline (e.g., Computer Science, Mathematics, Engineering, Business, or Health)
- Applicants from non-data backgrounds may need to complete bridging modules
- English Language Proficiency:
- IELTS: 6.5 (no band below 6.0)
- TOEFL iBT: 79
- Pearson PTE: 58+ (no skill below 50)
Applicants may also be considered based on relevant work experience and demonstrated technical aptitude.
Fees and Funding
Total Tuition Fee: S$42,120 (inclusive of GST)
Fees are payable per trimester.
Funding Options:
Curtin Singapore offers merit-based scholarships and flexible payment plans. Eligible students may also apply for corporate sponsorships or education loan schemes through local providers.
Career Opportunities
Graduates of the Master of Science (Data Science) are prepared for senior analytical roles in:
- Data Science and Engineering
- Artificial Intelligence / Machine Learning
- Business Intelligence and Analytics
- Health and Public Sector Informatics
- Risk and Fraud Analysis
- Data Strategy and Consulting
- Postgraduate Research (PhD)
With growing demand across industries, data science professionals are at the forefront of innovation, decision-making, and digital transformation.
Contact Us
Reach out for any inquiries or assistance needed.
