Master of Data Science
A multidisciplinary master’s programme blending technical data science skills with industry applications and research opportunities.
Best for:Best for professionals or graduates with a technical or quantitative background seeking to specialise in data science, analytics, or AI with flexible study options.
Overview
The Master of Data Science at Charles Darwin University offers a structured curriculum combining core data science concepts with specialised electives. Students explore topics like machine learning, algorithms, data visualisation, and software development through project-based assessments. The programme also provides pathways for industry placements or a research thesis, catering to professionals seeking career advancement or those passionate about data-driven innovation. Flexible study options ensure accessibility without disrupting work or personal commitments. Graduates gain expertise in managing and interpreting large datasets, preparing them for roles in analytics, AI, and data engineering across industries.
What you'll do
- Develop and apply advanced data science techniques to solve real-world problems through project-based assessments.
- Explore specialised topics in machine learning, AI, and data management via elective units.
- Engage in industry placements or conduct original research through a thesis unit, depending on chosen pathway.
- Collaborate on interdisciplinary projects integrating data science with business, economics, or technology domains.
- Develop technical and analytical skills to interpret large datasets and derive actionable insights.
- Apply project management principles to oversee data-driven initiatives from conception to execution.
Requirements
Degree required: Bachelor’s degree in a relevant field such as Computer Science, Information Technology, Mathematics, Statistics, Economics, or a related discipline. Professional experience may also be considered.
Language: English proficiency (e.g., IELTS 6.5 or equivalent).
Instruction: English
- Proficiency in programming languages such as Python, R, or Java.
- Basic understanding of statistics and data analysis principles.
- Familiarity with database systems and data management concepts.
- Ability to work collaboratively in interdisciplinary teams.
- Strong analytical and problem-solving skills.
- Open to domestic and international applicants.
- No age restrictions.
- No specific residency requirements.
Funding & terms
Programme and admissions
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How to apply
Applicants must submit an online application through the university’s portal. Required documents typically include academic transcripts, proof of English proficiency, a personal statement, and a CV. Additional materials may be requested depending on the chosen pathway (e.g., industry placement or thesis).
- Academic transcripts (Bachelor’s degree)
- Proof of English proficiency (e.g., IELTS, TOEFL)
- Personal statement or statement of purpose
- Curriculum Vitae (CV)
- Portfolio or evidence of relevant projects (if applicable)
Contact
Create a free profile to unlock your personal match score, the full requirements, funding details and how to apply — in English or Persian.