Masters of Data Science
Course Structure
Part A: Foundation Information Technology Studies (4 credit points)
Object-Oriented Development (SIT771)
Database Fundamentals (SIT772)
Software Requirements Analysis and Modelling (SIT773)
Web Technologies and Development (SIT774)
Part B: Fundamental Data Analytics Studies (4 credit points)
Real World Analytics (SIT718)
Data Wrangling (SIT731)
Mathematics for Artificial Intelligence (SIT787)
Machine Learning (SIT720)
Part C: Mastery Data Science Studies (4 credit points)
Statistical Data Analysis (SIT741)
Modern Data Science (SIT742)
Bayesian Learning and Graphical Models (SIT743)
Deep Learning (SIT744)
Part D: Data Science Capstone Studies (4 credit points)
Professional Practice in Information Technology (SIT753)
Team Project (A) - Project Management and Practices (SIT764)
Team Project (B) - Execution and Delivery (SIT782)
Plus 1 level 7 SIT or MIS-coded elective unit (1 credit point)
Entry Requirement
| Admissions Requirements | |
|---|---|
| General Admissions Requirements | 8 credit points: Graduate certificate or diploma in a related discipline, or bachelor honours degree in a related discipline, or bachelor degree in a related discipline with at least two years of relevant work experience. 12 credit points: Bachelor degree in a related discipline, or bachelor degree in any discipline with at least two years of relevant work experience. 16 credit points: Bachelor degree in any discipline. |
| Language Requirement | |
|---|---|
| IELTS | IELTS overall score of 6.5 (with no band score less than 6.0), or equivalent, or a bachelor degree from a recognized English-speaking country. |
Career Opportunities
Graduates can pursue roles such as Data Scientist, Data Analyst, Business Intelligence Analyst, and Machine Learning Engineer. Opportunities exist in various sectors including technology, finance, healthcare, and government.