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Degree summary

Welcome to the world of big data. At Monash Online, we offer a 100% online Graduate Diploma of Data Science that puts you at the forefront of this exciting field.

This postgraduate qualification offers:

  • 100% online learning – Study and take exams at home.
  • Six-week teaching periods – Focus on one unit at a time.
  • Six intakes throughout the year – Achieve your goals sooner.

Degree curriculum

Following the curriculum of the Graduate Diploma of Data Science will improve your problem-solving skills and broaden the creativity behind your data analysis. You’ll experience full-circle data science from engineering and wrangling to visualisation and data management.

You’ll be exploring:

  • Solid analytical theory
  • R and Python language for data science
  • The latest big data processing tools (Hadoop and Spark)
  • Relevant case studies.

These areas are fundamental to performing as a data scientist – ensuring everything you learn is applicable to the real world outside of a study environment.

 

Accelerated units

The Graduate Diploma of Data Science comprises 8 units covered over 1.4 years. Each unit is worth 6 credit points (with 8 units totaling 48 points). To graduate from the data science course, you’ll need to complete:

a) Up to 2 foundation units (0-12 points)

b) 3 core units (18 points)

c) 3-5 other units (18-30 points).

Some units require a foundation unit to be taken first. When planning your degree, make sure you consider each unit’s prerequisites to help make sure you graduate on time.

 

a) Foundation units
b) Core units
c) Further units

Career outlook

Companies around the world are searching for data scientists to manage and analyse their data.

In the US, for example, a December 2017 report by LinkedIn included four data-related roles (machine learning engineer, data scientist, big data developer, and director of data science) in the top 10 emerging positions. This appetite for skilled data professionals is worldwide – especially in Australia, where there’s a shortage of data scientists.

As you further your career, you can apply your new skills as a data scientist in:

  • Global financial institutions
  • Government organisations
  • Technology start-ups
  • Many other businesses

Regardless of whether you want to work in the health care, finance or IT industry (among many others), data scientists are sought after. They help a range of organisations manage the complex data sets being collected to expertly solve problems for businesses.

Learn more about the various career options you’ll have upon graduation in this infographic.

Salary expectations

Average salaries for data professionals are now well into six figures and continue to grow, with the average income expected to be $130,176 between 2021 and 2022 (Deloitte). The Institute of Analytics Professionals of Australia (IAPA) Skills and Salary Survey 2017 revealed that data scientists can earn as much as $200,000 plus.

Entry requirements

For entry into the Graduate Diploma of Data Science, you’ll need to prove you have relevant work experience or previous study in programming, databases, or mathematics. This can be done if you:

You’ll also need to fill out the data science online course prerequisite form. This helps us understand your previous work experience, academic history, and what position you’re starting in.

 

Alternative Entry through Foundation Units

If you don’t meet the entry requirements, there may be other options available to you. We offer three foundation units in programming, databases, and mathematics. To make you eligible for the graduate diploma, you can take a maximum of two foundation units prior to commencing your studies if you possess:

  • A bachelor’s degree in business, engineering, or science with a mathematics major plus two Foundation Units (i.e. Programming and Databases), or;
  • A non-cognate Graduate Diploma or Master’s degree (e.g. MBA) in any field at a recognised Australian institution and two years of relevant professional experience in programming or databases, plus up to two Foundation Units in an area not related to your work experience (i.e. Mathematics plus either Programming or Databases)

With either of the qualifications above, you can take two foundation units (e.g. programming and databases) and become eligible to continue your studies in the Graduate Diploma of Data Science.

Application Checklist for Graduate Diploma of Data Science

Step 1 - Visit the Monash University Application Portal to begin your application.

Step 2 - Have the below course code and soft copies of the below supporting documents ready before you start. 

Step 3 - Complete the Course Pre-requisites Summary to show us how your qualifications and experiences will make you the best candidate for entry.

Step 3 - When you are ready, accept the Applicant Declaration and submit your application. It is important that you upload all your supporting documents and Course Pre-requisites Summary for your application to be assessed.

Step 4 - When you have successfully submitted your application, you will receive a confirmation email, followed by a response from our team within 5 - 10 business days.

If you require assistance at any point, please contact us to speak to one of our Enrolment Advisors.

Course code: C5003
Supporting documents
Evidence of relevant tertiary study (complete and official transcripts). 
Proof of citizenship/permanent residency with a photo ID.
Proof of English language proficiency (see Monash English language requirements).
Change of name, if applicable (e.g. marriage certificate).
Curriculum Vitae with two references for relevant roles.
Completed course pre-requisites summary that highlights your experience or previous study in programming, databases, mathematics or statistics.
Unit outlines and transcripts for credit applications (if applicable)