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Data Science

Bachelor of Science (Data Science)

Learning Mode

Full Time / Part Time

Duration

2 Years (Accelerated)
3 Years (Standard)

Start date

March, July, November

Qualification

Bachelor of Science (Data Science)

Fees

S$40,920 per year (International Students)
S$33,840 per year (Domestic Students)

Location

Curtin University Singapore

About the Course

The Bachelor of Science (Data Science) at Curtin University Singapore is designed to prepare students for the data-driven world of tomorrow. By combining core scientific knowledge with in-demand technical skills, this degree equips students with the ability to analyse, interpret, and extract valuable insights from complex datasets.

Students learn how to apply statistical methods, machine learning algorithms, and data visualisation techniques to solve real-world problems across industries. With a strong focus on practical skills and project-based learning, graduates are ready to enter a wide range of sectors including business, health, finance, government, and technology.

This program offers a strong foundation in programming, mathematics, and data management, alongside opportunities to work on industry-linked capstone projects.

Why choose Science at Curtin?

Industry Connected

Collaborate on real-world data projects with industry partners, using the latest tools and platforms relevant to the data science field.

Global Opportunities

Benefit from Curtin’s global presence, with the flexibility to transfer between campuses or engage in international research experiences.

Professional Accreditation

This program is aligned with the Australian Qualifications Framework and prepares students for industry certifications in analytics and cloud platforms.

Course Overview

This course provides a comprehensive introduction to data science, covering programming, statistics, mathematics, and machine learning. Students will build data pipelines, manage large-scale databases, and generate visual reports that drive business decisions.

Graduates will be capable of working in interdisciplinary teams, effectively communicating technical findings, and leveraging data to make evidence-based recommendations.

Course Duration

  • 3 Years (Standard): Two trimesters per year
  • 2 Years (Accelerated): Three trimesters per year

Students can choose to accelerate their studies to graduate earlier.

Course Curriculum

Core Study Areas:

  • Introduction to Programming
  • Database Management and Data Wrangling
  • Statistical Data Analysis
  • Machine Learning Fundamentals
  • Data Visualisation and Communication
  • Ethics and Law in Data Analytics
  • Big Data Architecture
  • Applied Predictive Analytics
  • Research Methods in Data Science
  • Industry Capstone Data Project

Additional electives may include cloud computing, artificial intelligence, and financial modelling, depending on availability.

Admission Requirements

  • Completed high school qualification equivalent to Australian Year 12
    (e.g., GCE A-Levels, IB Diploma, STPM, or equivalent)
  • English Language Proficiency:
    • IELTS: 6.0 (no band less than 6.0)
    • TOEFL iBT: 79
    • Pearson PTE: 50+ (no skill below 50)

Applicants without a mathematics background may be required to complete a bridging course.

Fees and Funding

International Students: S$40,920/year
Domestic Students: S$33,840/year
Fees include GST and are payable by trimester.

Scholarships & Assistance:
Curtin Singapore offers merit-based scholarships, early application incentives, and payment plan options. Contact the admissions team for full details.

Career Opportunities

Graduates of this program are prepared for roles including:

  • Data Analyst
  • Data Scientist
  • Business Intelligence Analyst
  • Machine Learning Assistant
  • Database Developer
  • Risk Analyst
  • Research Data Specialist

The course also sets a solid foundation for postgraduate studies or professional certifications in data analytics, AI, and information systems.

Contact Us

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