Master of Data science

by Australian Technical & Management College (ATMC) Claim Listing

This course equips students with skills to work in data science related areas such as the health care, finance, government administration and it industries. This program provides an opportunity for you to develop an advanced understanding of data science by incorporating and interpreting complex inf

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Australian Technical & Management College (ATMC) Logo

img Duration

2 Years

Course Details

This course equips students with skills to work in data science related areas such as the health care, finance, government administration and it industries. This program provides an opportunity for you to develop an advanced understanding of data science by incorporating and interpreting complex information, concepts and theories to relevant disciplines, using data science tools and methods to manage, process, and analyse data. 

Throughout the program, you will utilise your skills to handle large volumes of data, working with real-time data, cloud computing, unstructured data and statistical models.

As a graduate, you may work in data science related areas such as the health care, finance, government administration and IT industries.

Entry Requirements

English Language Requirement

  • Overall IELTS (Academic) band score of 6.0 with no individual band score less than 6.0, or equivalent.

Academic Entry Requirements

  • Successful completion of Australian Bachelor degree in science, mathematics, statistics, engineering, information technology or business; or Overseas Equivalent.
  • Students will be required to demonstrate they have previously studied introductory mathematics and at least one information technology course in their undergraduate degree. If they cannot, they must select an approved elective course in their first semester of study to meet prerequisite requirements.

Career opportunities

  • Data Scientist
  • Statistician
  • Data engineer
  • Data warehouse operator
  • Business analyst

Year 1
Semester 1

  • Data Science for All
  • Statistics and R
  • Foundations of Programming
  • Elective

Semester 2

  • Artificial Intelligence and Machine Learning
  • Professional Research and Communication
  • Elective
  • Elective

Year 2
Semester 1

  • Advanced Data Science Project 1
  • Experiment Design and Visualisation
  • Computational Methods for Data Analysis

Semester 2

  • Advanced Data Science Project 2
  • Data Analytics for Cyber Threat Intelligence
  • Regression and Multivariate Data Analysis
  • Melbourne Branch

    470 Bourke, Victoria 3000, Melbourne

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