
- Degree type
- Master
- Delivery
- Online
- Language
- English
- Location
- Burwood, Australia
About this programme
Master of Data Science is a master programme from Deakin University in Data science. It is listed for online study. The official programme source describes it as: Develop advanced data science expertise and learn to transform complex data into insights that drive business and organisational decisions..
Programme information
We publish the programme facts currently available from the university record. For the latest curriculum, entry requirements, fees, or intake dates, fill in the enquiry form on this page and the university can answer your questions.
- Subject area: Data science
- Study mode: Online
- Teaching language: English
What studying is like
Teaching format
Published delivery mode: online. Teaching language in the current record: English. If you need to check live sessions, placements, examinations, or campus visits, send an enquiry through the form on this page and Deakin University can clarify.
Expected workload
2 years full-time or part-time equivalent. Depending on your professional experience and previous qualifications, you may be eligible for credit which could reduce your course duration.
Admissions
Entry requirements
The learning experiences and assessment activities within this course may require students to have access to a range of technologies beyond a laptop or desktop computer. For information regarding hardware and software requirements, please refer to the Bring your own device (BYOD) guidelines.
Application dates
The current public programme record does not state application deadlines or the next intake date. Send your question through the enquiry form on this page and Deakin University can respond with the latest programme-specific information.
How to apply
Use the enquiry form on this page for current application guidance. Deakin University can respond with the correct admissions route and required supporting evidence.
Documents you may need
- Use the enquiry form on this page for the programme-specific application checklist; Deakin University can respond with the current requirements.
- In your enquiry, include any questions about academic transcripts, identity evidence, language evidence, references, or a personal statement.
Admissions information last checked phone details available through the enquiry form.
Fees & funding
Tuition and fees
Estimated tuition fee - full-fee paying place $35,000 for 1 yr full-time - Full-fee paying place Learn more about fees and your options for paying. Estimated tuition fee - (CSP) ?
Scholarships and financial support
A Deakin scholarship can open the door to new opportunities. Whether you have something unique to offer or simply need a bit of extra support to reach your goals, we’re here to help.
Fees and funding can change by nationality, residency, study load and academic year. Confirm the amount and eligibility before applying.
Funding guidance last checked phone details available through the enquiry form.
Curriculum & assessment
Programme modules
- Primary subject area: Data science.
- The Master of Data Science is structured in four parts: Part A: Foundation Information Technology Studies (4 credit points) Part B: Fundamental Data Analytics Studies (4 credit points) Part C: Mastery Data Science Studies (4 credit points) Part D: Data Science Capstone Studies (4 credit points). To complete the Master of Data Science you must pass 16 credit points.
How you may be assessed
The current public programme record does not state assessment methods or examination arrangements. Send your question through the enquiry form on this page and Deakin University can respond with the latest programme-specific information.
Skills & outcomes
What you will learn
- Build programme-level knowledge in Data science.
- Send a question through the enquiry form on this page and Deakin University can clarify the official learning outcomes and any professional competencies.
Career directions
- Graduates of this course may find a career as data analyst, data scientist, analytics programmer, analytics manager, analytics consultant, business analyst, management adviser, management analyst, business advisers and strategist, marketing manager, market research analyst or marketing specialist.
Further study
- Use the enquiry form on this page to ask about progression to further study, research, or professional accreditation. Deakin University can respond with programme-specific guidance.