About the course
The Graduate Diploma in Foundational Data Science is designed for students who want to enter the data science field without a prior background in computer science or statistics. It builds core capability in statistical tools and methods alongside fundamental computing skills, focusing on analysing and evaluating data to solve real-world problems. The program can provide a pathway to the Master of Data Science, with potential course credit toward the masters (subject to meeting requirements).
What you might learn
Students develop foundational knowledge across computer science and statistics to operate effectively in data-driven workplaces. The course aims to build practical skills in applying statistical techniques, carrying out in-depth analysis and evaluation, and using these approaches to tackle real-world data problems. It also prepares students for further study in data science at masters level where eligible.
Career outcome
Graduates can pursue entry-level opportunities in data and analytics roles across government, technology, consulting, finance, healthcare and other data-intensive industries. The skills developed support pathways into roles involving data analysis, statistical analysis, and data-focused problem solving in business and research contexts. The qualification also supports progression into the Master of Data Science for broader career options in advanced analytics and data science.
Entry requirements
IELTS 6.5: with no band less than 6.0
Living Costs in Melbourne**
|
Restaurant (Meal, Inexpensive Restaurant) A$ 15 - 20 |
Rent per Month (1 bedroom in City Centre) A$ 1,583 - 2,094 |
Rent per Month (1 bedroom Outside of Centre) A$ 1,207 - 1,596 |
|
Transportation (Daily) A$ 7 - 9 |
Utilities per Month (Electricity, Mobile & Internet) A$ 240 - 318 |

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