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Graduate Certificate of Applied Data Science
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Study mode

Accelerated 100% Online

Duration

0.7 years part-time

Units

4

Intakes

Jan, Mar, May, Jul, Aug, Oct

Fees

$5,200 per unit

FEE-HELP

Eligible students may apply for FEE-HELP

Lead the future of big data technology

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Re-evaluate your career

Effective data management is vital to building successful business strategies. As the industry rapidly expands, you can equip yourself with a versatile and future-focused qualification in data science.

4.1 stars out of 5

Data scientists rate job satisfaction very high

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Discover big data analysis

Explore real-world data science issues

Learn data science problem-solving from influential academics.

Support seven days a week

Learning advice and study assistance

Dedicated support services designed for your study discipline.

Accelerated & 100% online

Study that’s flexible

Coursework and assessments designed to fit around your needs.

Lead the future of big data technology

The effective management of data is vital to building successful business strategies. As the industry rapidly expands, there has never been a better time to equip yourself with a versatile and future-focused qualification in data science.

Your Graduate Certificate of Applied Data Science will build on your ability to critically analyse and interpret big data and apply that knowledge to real-world data science issues. You’ll graduate with the confidence to evaluate complex data issues and find innovative, future-focused solutions that will support the future of a business.

What you will learn  
  • Python programming
    Learn the ways the Python programming language is used to implement data structures and algorithms to solve problems. 
  • Effective database management
    Learn the core principles of sound database design and how to implement relational databases.
  • Policy, ethical and legal issues
    Learn how to ethically collect, store, prepare and stream data in adherence to industry laws and policies.

 

Receive a one-on-one consultation about your study options.

Our worldwide University rankings

Monash University holds high rankings domestically and internationally for research and teaching excellence. 
Australia
# 2
Times Higher Education (THE) World University Rankings
(2025)
International
# 37
QS World University Rankings
(2025)

Pathway to a masters degree

You can graduate with a Graduate Certificate of Applied Data Science in approximately 0.7 years part-time accelerated, after completing 4 units (24 credit points). 

You can also continue studying after completing approximately: 

  • 1.4 years part-time accelerated, 8 units (48 credit points total), and you’ll receive a Graduate Diploma of Applied Data Science; or 
  • 2 years part-time accelerated, 12 units (72 credit points total), and you’ll receive a Master of Applied Data Science 

This course consists of four units.

Need further clarification about our online course structure?

You can submit an enquiry directly to our student consultants by using the form listed on our contact us page. You’ll have the opportunity to schedule a call if you’d like to receive further information.

Introduction to databases

Mathematical foundations for data science and AI

Introduction to data science

Introduction to Python

An Australian bachelor degree or equivalent qualification approved by the faculty or a minimum of three years relevant work experience in IT.

If you successfully complete the Graduate Certificate of Applied Data Science you may be eligible for admission at into either the Graduate Diploma of Applied Data Science or the Master of Applied Data Science.

English requirements

Applicants must meet the English language requirements.

University entrance requirements

Minimum entrance requirements apply for admission to Monash University Australia.

If you need help understanding the above entry requirements, reach out to our student consultants on our contact us page and schedule a booking for a chat.

For the Graduate Certificate of Applied Data Science, the estimated cost is $5,200 per unit. You may be eligible to receive a FEE-HELP loan to cover part or all of your tuition. Fees are subject to change annually.

Scholarships

We offer over 360 types of scholarships, valued at up to $280,000. Some scholarships offer one-off payments while others continue for the length of your course. Learn more about Monash Scholarships.

Looking for clarification on fees, FEE-HELP or scholarships?

Enquire with our student consultants and schedule a call to get your questions answered.

Career Outcomes

The workplace of the future is an exciting and dynamic place. A Graduate Certificate of Applied Data Science degree is designed to equip you with the necessary skills to succeed in a constantly changing global environment.

What does the future look like for Data Scientists?

With rising demand for this profession, experienced data scientists are highly sought-after and well-paid.

Salary

$125,000

The most common salary for a Data Scientist in Australia.

STAR RATING

4.1 / 5

Data Scientists report very high job satisfaction.

Industry Growth

+27.7%

Projected job growth of Data Scientists over the next five years.

Applied Data science online at Monash

Designed by leading Monash academics, this course is your opportunity to learn from industry experts. Build on your network and practical experience through coursework based on the Faculty of Information Technology’s own research.

The data you’ll work with in each of your units is derived from industry-based projects in the real world. This ensures that the skill set you develop is grounded in a sophisticated simulation of real-world professional practice.

I am currently in a career transition phase, working to become a full-time software engineer; all this made possible by the excellent pathways Monash has created.

Rashid Elhouli

Monash Online Graduate

Meet your academic team

Dr Yi-shan Tsai

Online Course Director

Dr Yi-Shan Tsai is a Senior Lecturer in the Faculty of Information Technology and a member of the Centre for Learning Analytics at Monash (CoLAM). She is also a member of the Digital Education Research Group at Monash and an associate scholar of the Centre for Research in Digital Education and the Centre for Research in Education Inclusion and Diversity at the University of Edinburgh.

Dr Yasmeen George

Deputy Course Director

Dr Yasmeen George is a Lecturer with data science and AI department at Monash Faculty of Information Technology with over a decade of interdisciplinary research experience in AI for healthcare analytics. She received her Ph.D. from the University of Melbourne in 2018 (Australia), Master of Computer Science (by research) in medical image analytics in 2013 from the University of Ain Shams (Egypt).

Dr Don Samitha Elvitigala

Deputy Course Director

Before joining Monash Dr Don Samitha was a postdoctoral fellow in the School of Computer Science and Engineering at UNSW, Sydney where he co-created HCI BoDi Lab. At UNSW he investigated how a network of human augmentations can serve a community by context and environmental sensing.

Frequently Asked Questions

The Graduate Certificate of Applied Data Science will help you develop the technical skills required for wrangling data and analysing it. Data Science also focuses on programming and advanced mathematical modelling to achieve these outcomes. Students looking to complete this course require previous knowledge – academic or work experience – within the IT and/or science or maths field already. Alternatively, the Graduate Certificate of Analytics focuses on understanding problems that businesses face and how to develop data analytics to address these problems. The course builds on core data mining skills and how to analyse, solve and present data and solutions for complex decision making. This course is for students who may not have had any formal IT experience as it provides foundational knowledge that you’d require to progress in a role within this field.
Machine learning is only one of type of AI technology. Others include Natural language processing and computer vision.
Learning mathematical foundations in data science is fundamental for applying AI techniques to computing and statistics. Some of the mathematical concepts include trees and graphs; probability theory; linear algebra; fundamental concepts of algebra.
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