Charles Darwin University
Graduate Certificate of Data Science
- Delivery: Face to Face
- Study Level: Postgraduate
- Duration: 12 months
- Course Type: Graduate Certificate
Enhance your technical and analytical skills to effectively manage and interpret valuable insights from large data sets.
Course overview
This qualification complements the following multidisciplinary areas: computer science, information technology, information systems, statistics, mathematics, engineering, or a program with substantial quantitative competencies.
Your coursework will also include a project-based assessment, allowing you to focus on what you are passionate about.
Key facts
July, 2026
What you will study
The course consists of core units and a specialist elective unit. The core units of the course will allow you to explore a range of data science concepts.
Core units
- Advanced Data Management
- Data Analytics and Visualisation
- Business Intelligence and Data Mining
Specialist Elective
Specialist Elective unit totalling 10 credit points selected from the following units.
- Business Analytics
- Real-World Statistics and Data Reasoning
- Business Statistics
- Biostatistics
Entry requirements
Admission criteria
- Completing a recognised bachelor's degree or equivalent international qualification with a major in computer science, information technology, information systems, statistics, mathematics, engineering, or a program with substantial quantitative competencies.
- Consideration will also be given to applicants with at least five years of appropriate professional experience. Applicants must submit a curriculum vitae (CV) detailing their employment experience with their application.
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 more details on the English requirements for CDU courses, please take a look at 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 this course may lead to careers as a:
- Business analyst
- Data scientist
- Data analyst
- Data engineer
Fees and FEE-HELP
Estimated full fee in 2025: From $14,444 (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.