La Trobe University
Organisations in every industry are asking big questions. With a Master of Data Science under your belt, you’ll have the skills to help answer them.
Data science professionals are in high demand in today's data-driven world. Whether you're already working in data science, or you're ready to make a career change, our Master of Data Science prepares you for a successful career in this exciting field.
Designed in collaboration with our industry partners, this degree gives you the knowledge, skills and hands-on experience to transition from university to the workplace. And with two early exit points along the way, you can be sure that every subject is contributing to your career.
You'll build fundamental skills in programming, databases, probability, statistics, data exploration and analysis. Got a particular interest in artificial intelligence, bioinformatics or sport analytics? This degree allows you to specialise in these areas and others, such as big data and cloud computing, business applications and data modelling and analytics.
Melbourne, Australia
24 Months
AU$ 36,800
IELTS: 6.5 TOEFL: 79
Core subjects
Core subjects are required subjects in your course. You need to complete these subjects to attain your degree.
Subject name |
Subject code |
Year |
Credit points |
---|---|---|---|
ACADEMIC INTEGRITY MODULE |
LTU0AIM |
1 |
0 |
DATA EXPLORATION AND ANALYSIS |
CSE5DEV |
1 |
15 |
DATABASE FUNDAMENTALS |
CSE4DBF |
1 |
15 |
INTRODUCTION TO PROGRAMMING |
CSE4IP |
1 |
15 |
MATHEMATICS FOR DATA SCIENCE |
MAT4MDS |
1 |
15 |
PROBABILITY AND STATISTICS FOR DATA SCIENCE |
STM4PSD |
1 |
15 |
PROFESSIONAL PRACTICES AND ENTREPRENEURSHIP IN INFORMATION TECHNOLOGY |
CSE5003 |
2 |
15 |
Prerequisites
Successful completion of an Australian bachelor degree (or equivalent).
English language requirement
6.5 IELTS (Academic) with no individual band less than 6.0.
Annual tuition fee:
A$36,800
After graduation, you could work across a range of industries, including business and finance, science, education, health, and sports.
Data scientist
Business analyst
Health analyst
Bioinformatician
Machine learning engineer