PhD Monitor
/Detail
Computing and Information Technology● OpenMastersPreview

Master of Data Science (Professional)

Equip yourself with specialized data science skills through Deakin University's professional master's program.

Best for:Best for professionals and graduates seeking advanced data science and machine learning skills via online coursework.

Deakin University · Cloud(online), Australia
More professors at Deakin University
data scienceartificial intelligencemachine learningdata managementpredictive analytics
This is a masters position — not a PhD studentship.
Deadline
—
Funding
—
Start date
—
Location
Cloud(online)
Australia

Overview

The Master of Data Science (Professional) at Deakin University is designed to address the growing demand for data specialists across industry and government sectors. Students explore data origins, management methods, and organizational constraints while developing technical proficiency in artificial intelligence and machine learning. Delivered online, the program prepares graduates to translate complex raw data into actionable insights for strategic decision-making. Applicants can qualify through prior academic credentials or relevant professional experience.

Master of Data ScienceDeakin Universityonline masterbig dataprofessional degree

What you'll do

  • Explore the origins and management of complex datasets within regulatory and ethical constraints
  • Develop specialized skills to categorize and transform raw data into meaningful business insights
  • Harness artificial intelligence and machine learning technologies to solve industry challenges
  • Design innovative data solutions to inform day-to-day operations and strategic decisions

Requirements

Degree required: Bachelor degree or higher in a related discipline, or any discipline with at least two years of relevant work experience

Degree offered: Master Degree (By Coursework)

Language: English

Instruction: English

Required skills
  • Foundational knowledge from a completed bachelor degree or higher
  • Quantitative or analytical aptitude demonstrated through prior education or work experience
Nice to have
Prior academic background in a quantitative or computing disciplineProfessional experience involving data handling or software development
Eligibility
  • Completion of a bachelor degree or higher in a related discipline, OR completion of a bachelor degree in any discipline plus at least two years of relevant work experience

Funding & terms

Type
Unknown
Amount
—
Duration
—
Programme
—

Programme and admissions

Admissions not verified

A catalogue listing does not mean applications are open or funding is guaranteed. Check the source for your intake.

Intake
Not confirmed by the source
Duration
Not confirmed by the source
Teaching language
Not confirmed by the source
Taught / research mode
Not confirmed by the source
Study mode
Not confirmed by the source
Campus
Not confirmed by the source
Prerequisites
Not confirmed by the source
Application instructions
Not confirmed by the source
Tuition
Not confirmed by the source
Funding
Not confirmed by the source

How to apply

Submit your application directly through the university's official application portal or international admissions channel. Ensure all required academic transcripts and proof of qualifications or work experience are attached.

Documents required
  • Academic transcripts
  • Proof of degree completion
  • Resume or CV (if applying with work experience)
↗Check programme and admissions

Contact

Lab
Faculty of Science, Engineering and Built Environment
Deakin University
Australia
See the full position

Create a free profile to unlock your personal match score, the full requirements, funding details and how to apply — in English or Persian.

No card · 10 free AI match scores
Explore this programme
Check admissions, intake and funding with the official source; a listing does not mean applications are open.