Charles Darwin University
Master of Data Science
- Delivery: Face to Face
- Study Level: Postgraduate
- Duration: 24 months
- Course Type: Master's
Enhance your technical and analytical skills to effectively manage and derive insights from large data sets.
Course overview
The Master of Data Science will further develop your technical and analytical skills to manage and interpret valuable insights from large data sets. This course is designed for students with and without a background in data science, information technology, information systems or equivalent. You will learn about the applications of data science in different real-world problems. Your coursework will include project-based assessments, allowing you to focus on what you are passionate about.
Key facts
20th July, 2026
What you will study
A candidate must successfully complete units totalling 160 credit points as detailed below. All units are valued at 10 credit points unless otherwise indicated.
- Software Now
- Foundations of Data Science
- Database Concepts
- Professional issues in Technology
- Business Intelligence and Data Mining
- IT Service Management
- Risk and Reliability Management
- Advanced Data Management
- Data Analytics and Visualisation
- Machine Learning and Artificial Intelligence
- Principles of Operating Systems, Networks and Cyber Security
- Principles of Software Systems
- Data Science Practice (20 credit points)
Special Electives
Specialist Elective unit totalling 20 credit points as detailed below.
Select one of the units below:
- Professional Experience
- IT Thesis
Entry requirements
Admission criteria
Successful completion of a recognised bachelor's degree or equivalent international qualification.
English language requirements
To gain entry into Charles Darwin University, all higher education applicants must satisfy the University's English Language Proficiency requirements for their chosen course of study. From 2025, ALL applicants will be required to supply evidence of this at the time of application. For further details on the English requirements for CDU courses, please refer to the CDU English Language Proficiency Policy.
Recognition of Prior Learning
Higher Education Students Higher Education students can apply for Advanced Standing (Credit Transfer or Recognition of Prior Learning - RPL). Contact the university for more information.
Outcomes
Career outcomes
Graduating from Master of Data Science may lead to career opportunities as a:
- Business Analyst
- Data Analyst
- Data Analyst
- Data Engineer
- Data Manager
Fees and FEE-HELP
Estimated first year fee in 2025: $28,888 (domestic full-fee paying place)
Estimated fees are determined by individual units of study and the year the course was commenced.
A student’s annual fee may vary in accordance with:
- The number of units studied per term.
- The choice of major or specialisation.
- Choice of units.
- Credit from previous study or work experience.
- Eligibility for government-funded loans.
Student fees shown are subject to change. Contact the university directly to confirm.
FEE-HELP loans are available to assist eligible full-fee paying domestic students with the cost of a university course.