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Graduate Diploma of Data Science

100% online

Study load

20-24 hours per week

Units

8

Intakes

Jan, Mar, May, Jul, Aug, Oct

Reveal market trends and guide the direction of entire organisations with your data science expertise.

Shape high-level decision making 

With the rise of big data and its importance to organisational decision-making, data scientists are now an essential componentof any successful organisation. Many industries look to data scientists to collect, manage and interpret large sets of raw information, so that business strategy can be driven by statistical analysis.  

A career in data science is exciting, forever in flux, and there’s almost no limit to where it can take you. Data is only as valuable as the data scientist with the creativity and skill set to interpret and draw insights from it. This is where you come in. 

 

What you will learn  
  • Python programming
    Learn the ways the Python programming language is used to implement data structures and algorithms to solve problems. 
  • Data modelling and visualisation
    Build your knowledge of the statistical modelling foundations that underlie data analytics. 
  • Data wrangling
    Take data in its raw form and convert it into actionable insights.

 

This course consists of eight units. You will complete core studies in introductory data science, data wrangling and statistical data modelling, then select units from across a range of areas where you can tailor the course to suit your own interests.

If you do not meet course requirements in programming, databases or mathematics/statistics, you must complete up to a maximum of two foundation units prior to commencing your core studies.

Foundation units 2 units (0-12 credit points)
You may complete up to 12 credit points from the following units.

Introduction to databases

Algorithms and programming foundations in Python

Mathematical foundations for data science

You must complete the following units.

Introduction to data science

Data wrangling

Statistical data modelling

You must complete 18 to 30 credit points from the following units.

Data exploration and visualisation

Applied data analysis

Business intelligence and data warehousing

Machine Learning

Data processing for big data

Data analysis for semi-structured data

An Australian undergraduate degree with at least a credit (60 per cent) average (or qualification deemed by the faculty to be a satisfactory equivalent), in a discipline relating to IT, business (with mathematics), economics, econometrics, engineering, or science, with completed studies in at least one of mathematics, programming or databases.

OR

An Australian bachelor’s degree (or a qualification deemed by the faculty to be a satisfactory equivalent) with at least a credit (60 per cent) average, plus two years of professional work experience in programming or databases.

English requirements

Applicants must meet the English language requirements.

University entrance requirements

Minimum entrance requirements apply for admission to Monash University Australia.

For the Graduate Diploma of Data Science, the estimated cost is $4200.00 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.

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. 

Meet your academic team

Dr Jackie Rong

Dr Jackie Rong is the course director of the Graduate Diploma of Data Science at Monash University. She has nearly 15 years of experience in tertiary education across Australian universities. She is an active researcher in data mining, machine learning, deep learning and digital health analytics.

Dr Lei Yang

Dr Lei Yang is a Data Science lecturer and deputy course director of Graduate Diploma of Data Science. Before he joined Monash, he was a senior system engineer in Nokia and was mainly responsible for the 4G and 5G research and development. His current research interest includes 5G, signal processing, IoT, big data and machine learning.

Monash has propelled my career to new heights I never thought possible.

Sarah

Monash Online student

Industry insights

A data science qualification will prepare you for work in a wide range of careers specialising in data analysis, including as a:  

  • data scientist 
  • business analyst 
  • data analyst 
  • data architect. 

 

4.1 stars out of 5
Data scientists report very high job satisfaction.

27.7% job growth is expected for data scientist roles over the next five years.

$130,000 is the most common salary for a data scientist in Victoria.

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  • course information
  • career pathways
  • how online study works
  • course fees
  • how to apply