Program Overview

Data Science - C6004

Overview

The Master of Data Science is a 1.5 or 2-year full-time course that provides students with the skills to manage, analyze, and process data. The course is designed to expand students' knowledge of the analytical, organizational, and computational aspects of data science.

Course Details

• Location: On-campus at Clayton or Malaysia
• Duration: 1.5 or 2 years full-time, depending on prior qualifications
• Start date: Semester One (February) or Semester Two (July)
• Qualification: Master of Data Science
• Fees: Information about fees can be found on the Monash University website

Entry Requirements

To be considered for entry to this course, students must satisfy the following entrance requirements:

• Minimum Entry Requirements (International students):
  • Entry level 1: An Australian bachelor degree (or equivalent), not necessarily in IT, with at least a credit (60%) average
  • Entry level 2: An Australian bachelor degree (or equivalent) in a cognate discipline relating to IT, or a business, engineering, or science degree with an IT major, including python programming, databases, algorithms, computer architecture, operating systems, and networks, and mathematics (including calculus, linear algebra, and probability and statistics) with at least a credit (60%) average
• English entry requirements: IELTS (Academic), Pearson Test of English (Academic), or TOEFL Internet-based test with minimum scores
• University entrance requirements: Minimum entrance requirements for admission to Monash University Australia

Course Structure

The course structure can be viewed in the Handbook. Students can also view the course map on the Monash University website.

Outcomes of the Master of Data Science

Through the course, students will learn how to:

• Analyze the lifecycle of data through an organization
• Apply major theories in data analysis and exploration in common contexts and challenges
• Plan a data science project in a new area of application
• Investigate, analyze, document, and communicate the core issues and requirements of developing a global organization's data analysis capabilities
• Demonstrate an understanding of data science to the standard of senior professional practice
• Review, assess, synthesize, and apply modern data science theories for professional or academic purposes
• Document and communicate ethical and legal considerations in relation to privacy and security in data science practice

Fees and Scholarships

Fees are subject to change annually. The fee information displayed is based on the 2025 rates and should only be used as a guide. International students can apply for scholarships, including the International Study Grants valued at up to $10,000.

Enrolment Obligations

International students enrolling in a CRICOS-registered course can study no more than one third (33%) of their course by distance and/or online learning. Students must enroll in at least one unit that is not by distance and/or online in each compulsory study period unless the student is completing the last unit of their course.

ACS Accredited

This course is accredited by the Australian Computer Society (ACS). This means students will automatically be eligible to become a member, opening doors to invaluable networking and professional development opportunities.