Online Master of Data Science
About this Study Course
Embark on an exhilarating journey into the world of Data Science with La Trobe University Online. Our Data Science program is meticulously crafted to prepare you for a thriving career in this dynamic and rapidly evolving field. Gain not just theoretical knowledge but also practical insights that will set you apart in the competitive landscape of data-driven industries.
Overview
Crafted in collaboration with industry partners, our Data Science program at La Trobe University Online is designed to equip you with knowledge, skills, and hands-on experience crucial for a seamless transition from university to the workplace. With two early exit points, each subject contributes significantly to your career development. Explore fundamental skills in programming, databases, probability, statistics, and data exploration. Whether your interest lies in artificial intelligence, bioinformatics, or sports analytics, our program allows specialization in these areas, along with big data, cloud computing, and data modeling and analytics. Immerse yourself in real-world projects with industry partners and opt for an industry work placement. For those aspiring to a research career, a thesis in computer science or statistics awaits you.
Admission Requirements
- TOEFL 64
- Successful completion of an Australian bachelor’s degree or equivalent.
- Submission of transcripts from all prior universities.
- Mathematics for Data Science
- Probability and Statistics for Data Science
- Data Exploration and Analysis
- Professional Practices and Entrepreneurship in Information Technology
- Big Data Management on the Cloud
The fee is $4,050 per subject.
Future Career Outcomes
Upon graduation, anticipate impactful career outcomes in the field of data science. La Trobe’s Data Science program positions you as a versatile professional, offering a broad spectrum of career possibilities. Equip yourself for the future of data-driven decision-making, and contribute to advancements in artificial intelligence, big data, and analytics.