Master of Data science
This course equips students with skills to work in data science related areas such as the health care, finance, government administration and IT industries.
OVERVIEW
CRICOS code 104808F
Duration (Full Time) 2 Years
Course Fees
Intake Dates March, July, November Students Only available to international students Faculty The School of Engineering, Information Technology and Physical Sciences
Campus Melbourne SYDNEY
Entry Requirements
English Language Requirement
Overall IELTS (Academic) band score of 6.0 with no individual band score less than 6.0, or equivalent.
Academic Entry Requirements
Successful completion of Australian Bachelor degree in science, mathematics, statistics, engineering, information technology or business; or Overseas Equivalent.
COURSE OUTLINE
This program provides an opportunity for you to develop an advanced understanding of data science by incorporating and interpreting complex information, concepts and theories to relevant disciplines, using data science tools and methods to manage, process, and analyse data.
Throughout the program, you will utilise your skills to handle large volumes of data, working with real-time data, cloud computing, unstructured data and statistical models.
Career opportunities
- Data Scientist
- Data Engineer
- Business Analyst
- Statistician
- Data Warehouse Operator
Sample Study Program*
Year
Semester 1
Semester 2
1
- Data Science for All
- Artificial Intelligence and Machine Learning
- Statistics and R
- Professional Research and Communication
- Foundations of Programming
- Elective
- Elective
- Elective
2
- Advanced Data Science Project 1
- Advanced Data Science Project 2
- Data Science Case Studies
- Business Intelligence and Data Warehousing
- Computational Methods for Data Analysis
- Regression and Multivariate Data Analysis
* This is sample structures only. Please refer to course offerings for more detail.
* Unit offering may change during semester subject to staff availability.