University of Edinburgh vs The University of Melbourne

Data science is the study of the computational principles, methods, and systems for extracting and structuring knowledge from data; and the application and use of those principles. Large data sets are now generated by almost every activity in science, society, and commerce - ranging from molecular biology to social media, from sustainable energy to health care.

As an MSc Data Science student, you will explore how to efficiently find patterns in these vast streams of data. Many research areas have tackled parts of this problem:

Machine learning focuses on finding patterns and making predictions from data.
Ideas from algorithms and databases are required to build systems that scale to big data streams.
Separate research areas have grown around different types of unstructured data such as text, images, sensor data, video, and speech.

You'll enter the Master of Data Science with a background in computer science or statistics (or both), and the course will be tailored to build your skills in the other discipline. 

Core subjects will give you a solid grounding in data science, so you’ll have the technological and analytical abilities that are vital for managing and interpreting large, complex collections of data.

Beyond the core subjects, elective subjects give you the freedom to dive deeper into a specialist area of data science.

Given the ever-increasing volume of data that businesses have access to today, there is a demand for employees who have computational and analytical skills and who can help inform business decisions to increase efficiency and ultimately build a competitive edge.MSc in Business Analytics has been developed with just that in mind and aims to train you to understand:

• the variety of business environments
• the importance and relevance of decision-making problems facing organisations
• ways of solving these using a variety of techniques

The Melbourne Business School Full-time Master of Business Analytics gives you the skills and knowledge to become a stand-out data scientist expert in not just maths and information systems, but also able to approach analytics with the strategic perspective of the business mind.

This advanced, one-year, full-time degree focuses on quantitative methods and the role of data in decision-making. Discover how data can drive decision-making through statistical and quantitative analysis, explanatory and predictive modelling and fact-based management.

You will learn from experts in computer science, statistics, mathematics and business management and become a skilled user of SAS, R, Python, Tableau and other tools.