Master of Data Science
Royal Melbourne Institute of TechnologyMelbourne, Australia
Fee for international students
- Intakes
- February, July
- Duration
- 104 weeks
Programme facts
- Level
- Master's
- Duration
- 104 weeks
- Language of teaching
- English
- Study mode
- Not published
- Credits
- Not published
- Intakes
- February, JulyTypical for this country
About this programme
We live in a data-driven world thats generating huge volumes of information at ever-increasing rates via social media, financial transactions, transportation, and scientific discovery. Consequently, an understanding of data is a top priority for all of us whether you are in business, government, or individually as citizens and consumers.The new interdisciplinary field of data science combines areas of computer science with mathematical statistics and domain expertise to manage and analyse data. Specialists develop the capability to derive insight and opportunity from the vast repositories of information that organisations collect. Data science also puts an emphasis on the specialised computational skills required to manage and analyse big data from sources such as social media, massive sensors, mobile and transaction data. It enables businesses to gain a competitive edge, governments to deliver more targeted services, and research teams to make new discoveries.
Entry requirements
- IELTS6.5 overall
- TOEFL iBT79
- Prerequisites
- An Australian bachelor degree in computing, science, engineering, or health, or statistics with a GPA of at least 2.0 out of 4.0, or equivalent. OR You may also be considered if you have an Australian bachelor degree with a GPA of at least 2.0 out of 4.0, or equivalent and; relevant completed courses in programming and statistics in an undergraduate or postgraduate degree or a minimum three years of current, relevant work experience or professional practice as a programmer, statistician or equivalent.
Data: CRICOS, Australian Government.
