Master of Data Science (Professional)

at Deakin University

Course structure

To complete the Master of Data Science (Professional), students must attain 16 credit points. Full time students’ study 4 credit points per trimester, and usually undertake two trimesters each year.

The course is structured in three parts:
 

• Part A. Core Data Science Studies (8 credit points),
• Part B. Specialisation (4 credit points) or course grouped electives (4 credit points), and
• Part C. Professional Studies (4 credit points)

The three parts comprise the following:
 

• eight (8) credit points of core units,
• four (4) credit point specialisation, or four (4) credit points of course grouped electives (level 7 SIT or MIS coded units)
• four (4) credit points of professional units
• completion of STP050 Academic Integrity (0-credit-point compulsory unit)

Core
 

• Academic Integrity (0 credit points)
• Real World Analytics
• Data Wrangling
• Mathematics for Artificial Intelligence
• Machine Learning
• Statistical Data Analysis
• Modern Data Science
• Bayesian Learning and Graphical Models
• Deep Learning

• Bachelor’s degree in a related discipline, OR
• Bachelor’s degree in any discipline and two years relevant work experience OR
• Graduate Certificate of Information Technology OR
• Evidence of academic capability judged to be equivalent.

Deakin University offers admission to postgraduate courses through a number of Admission categories. To be eligible for admission to this program, applicants must meet the course requirements.

All applicants must meet the minimum English language requirements.

Please note that meeting the minimum admission requirements does not guarantee selection, which is based on merit, likelihood of success and availability of places in the course.

Estimated tuition fee - full-fee paying place
$39,800 for 1 yr full-time AUD

The 'Estimated tuition fee' is provided as a guide only based on a typical enrolment of students completing the first year of this course. The cost will vary depending on the units you choose, your study load, the length of your course and any approved Recognition of Prior Learning.

In fiercely competitive markets where businesses are constantly striving to increase profit, reduce costs and provide exceptional customer value, the requirement for skilled data professionals is growing at a rapid pace. Graduates of this course may find careers as data analysts, data scientists, analytics programmers, analytics managers, analytics consultants, business analysts, management advisors, management analysts, business advisors and strategists, marketing managers, market research analysts and marketing specialists.