Data courses

Master of Data Analytics Deakin University

5.0 out of 5 from 1 review
Masters Degree
Melbourne
2.0 years Full-Time
(or Part-Time equivalent)
This information aims to provide a summary of the course. If you'd like to find out more, please go here

Course Description

Deakin’s Master of Data Analytics prepares students for professional employment across all sectors. The sheer volume and complexity of data already at the fingertips of businesses and research organisations gives rise to challenges that must be solved by tomorrow’s graduates. Become a data analytics specialist capable of using data to learn insights and support decision making.

Modern organisations are placing increasing emphasis on the use of data to inform day-to-day operations and long-term strategic decisions.

Throughout your studies you’ll learn to understand the various origins of data to be used for analysis, combined with methods to manage, organise and manipulate data within regulatory, ethical and security constraints. You’ll develop specialised skills in categorising and transferring raw data into meaningful information for the benefit of prediction and robust decision-making.

As a graduate, your knowledge, skills and competencies in modern data science and statistical analysis will be highly valued by employers seeking greater efficiencies and competitive advantage through data insights.

Units in the course may include assessment hurdle requirements.
Careers

Graduates of this course may find careers as data analysts, data scientists, analytics programmers, analytics managers, analytics consultants, business...

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Additional Information
You will have an opportunity to undertake a placement as part of your course.


Ratings

Average ratings for Master of Data Analytics Deakin University based on 1 review
Rating
5.0
Job prospects
5.0
Teachers
4.0
Course work
5.0
Time worthy
4.0
Money Worthy
4.0



Student Reviews

May 2018
Year completed 2019

Positives: You can learn more about data and how to derive decisions from analysing that data

Negatives: This course enables you to be a data analyst right after course end and many people claim that it doesn't help you become a data developer. Maybe thats a problem but I never felt that.

My advice to future students is...

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