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  1. Home
  2. Data Science & Analytics
  3. Master of Data Science
Get A Free Course Guide

Master of Data Science

Study Method
Online
Provider
University of New South Wales (Online)
Start Date
Jan, Mar, May, Jul, Sep, Oct
University of New South Wales (Online) Courses

Course Overview

The online Master Data Science at UNSW.

It takes sophisticated thinking to find the simple answers that lie underneath layers of increasingly complex, interwoven webs of data, and businesses are turning to people with advanced technical and mathematical skills to unpick complexities and make sense of the numbers.

Delivered 100% online, the Master of Data Science explores more ways to organise, identify, analyse and ultimately use data to inform strategies, redefine ambiguous questions and find answers that make a genuine impact.

This program has been designed to deliver skills that are in the highest demand and the most difficult to find. Depending on where you wish to direct your Data Scientist career, you can specialise in areas such as machine learning, database systems or statistics. Regardless of what you choose to specialise in, the foundational skills you’ll learn before you specialise are as broad as they are deep. You’ll be in demand for diverse roles (even those yet to be imagined) across industries, creating a career that’s dynamic and filled with potential.

Read Less

Job Outcomes

Potential career outcomes could include:

  • Database Administrator
  • Market Researcher
  • Data Analyst
  • Data Scientist
  • Machine Learning Engineer
  • Big Data Visualiser
  • Data Engineer
  • Market Research Analyst
  • Investigations and Data Journalist (Analyst)
Want to see more job outcomes and how your future could change?
Get the Course Guide

What You'll Learn

The Master of Data Science comprises 12 courses – six compulsory and six electives. There is also the option to study the Graduate Certificate in Data Science or the Graduate Diploma in Data Science, which combined – and with the addition of the electives and capstone course – create the masters program.

CORE COURSES

  • Principles of Programming
  • Foundations of Data Science
  • Statistical Inference
  • Data Mining and Machine Learning
  • Regression Analysis
  • Capstone Data Science Project

ELECTIVE COURSES

Plus, six electives from the following courses (one of which must be from the * course):

  • Big Data Management*
  • Data Visualisation and Communication*
  • Multivariate Analysis for Data Scientists*
  • Neural Networks, Deep Learning
  • Bayesian Inference and Computation
  • Decision Making in Analytics
  • Data and Ethics
  • Strategic Decision Making
  • Database Systems

PREREQUISITE COURSES

  • Principles of Programming
  • Foundations of Data Science
  • Statistical Inference for Data Scientists

Principles of Programming is a prerequisite for Data Mining & Machine Learning, Neural Networks, Deep Learning & Big Data Management.

Foundations of Data Science is a prerequisite for Regression Analysis for Data Scientists, Data Visualisation and Communication & Multivariate Analysis for Data Scientists.

Statistical Inference for Data Scientists is a prerequisite for Regression Analysis for Data Scientists & Multivariate Analysis for Data Scientists.

Study Method

  • Online
    Online delivery - online course content with the exception of assessments and work placement
  • Blended
    Blended delivery - both online course content and partial face to face requirements
  • In-class
    In class delivery - predominately face to face course content conducted at a specific location
  • Virtual
    Virtual Delivery - Live and interactive classroom-style learning conducted completely online

Duration and Study Load

  • 2 years

Entry Requirements

General admission requirements

To be eligible for the Master of Data Science you must have:

Either

  1. Completed the Graduate Diploma in Data Science with a WAM of 65 or higher  OR
  2. Completed an undergraduate degree in Data Science or cognate discipline (e.g., Computer Science, Economics, Mathematics, Statistics) AND  have sufficient Data Science background as indicated by an average mark of  70  or above across three Level III courses in Mathematics and/or Statistics and/or Computer Science and/or Econometrics

Advanced standing or exemption can be granted in the program for cases where core courses were completed in a prior program.

Find out more about the entry requirements for this course
Get the Course Guide

Payment Options

Please enquire for information about the price of the course and payment options available.

Why is the price not displayed here?

The price of the course may vary for a number of reasons, including but not limited to:

  • Whether you pay up front or via a payment plan
  • Whether Government funding is available
  • Your location
  • Study method and duration

Complete an enquiry to discuss the price of the course and payment options with a course advisor.

About University of New South Wales (Online)

Study 100% Online with UNSW. A World Leader.  
UNSW is a globally recognised leader in education, with a focus on industry applicable programs. When you study online with UNSW, you can expect to learn from world-class academics and collaborate with ambitious, like-minded individuals.

Study at Australia’s Global University. Anywhere, anytime. 
Studying online at UNSW means that you have the flexibility to shape your studies to fit your life and career goals. The programs have been designed with busy working professionals in mind so you can study one course at a time, 100% online & accelerated, whilst working full-time.

Designed by Industry for Industry. 
The UNSW online programs have been developed in close consultation with industry experts equipping you with applicable and career-related skills. UNSW is ranked in the top 3 universities in Australia for graduate employability, and is 27th in the world (QS University World Rankings by Graduate Employability, 2020) with each program offering advanced disciplinary depth, giving you access to the latest thinking and current research.

Job Outcomes

Potential career outcomes could include:

  • Database Administrator
  • Market Researcher
  • Data Analyst
  • Data Scientist
  • Machine Learning Engineer
  • Big Data Visualiser
  • Data Engineer
  • Market Research Analyst
  • Investigations and Data Journalist (Analyst)
Want to see more job outcomes and how your future could change?
Get the Course Guide

Study Method

  • Online
    Online delivery - online course content with the exception of assessments and work placement
  • Blended
    Blended delivery - both online course content and partial face to face requirements
  • In-class
    In class delivery - predominately face to face course content conducted at a specific location
  • Virtual
    Virtual Delivery - Live and interactive classroom-style learning conducted completely online

Want to Know More About This Course?
Complete the form and learn about:

  • Pricing and payment options
  • Start dates
  • Subjects
  • Study Method
  • How to get help and contact information
  • Everything you need to know before enrolling!

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  • We've helped over 400,000 people apply

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