About this course
- Entry and participation requirements
- Attributes, outcomes and skills
- Course structure
- Subject options
|Award title||Master of Data Science|
|Year & campus||2017 — Parkville|
|Fees information||Subject EFTSL, level, discipline and census date|
|Study level & type||Graduate Coursework|
|Duration & credit points||200 points taken over 24 months full time or 48 months part time|
The management and analysis of big data are becoming increasingly important in commerce, industry and applied science.
Data Science is a rapidly growing field that has evolved to address this need and sits at the intersection of statistics and computer science. Data science practitioners are accomplished in both areas and in order to keep pace with this changing field they need a sound background in both statistics and computer science.
The Master of Data Science is a professional entry program that combines these disciplines in a single coordinated program. It aims to prepare students for a career in data analytics, equipping them with the technological abilities and analytical skills needed to manage and gain insights from large and complex collections of data.
The program emphasises the use of statistical tools, techniques and methods along with in- depth analysis and evaluation, to solve real-world problems in the data realm.