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A course mapper by Monash Association of Coding (MAC)
Advanced data challenges
ADS3001
Synopsis
This is the final in a series of Data Challenges units which draws together your mathematical, computational and applied studies, and builds on the industry-relevant data science case studies explored during the first two years of the Bachelor of Applied Data Science. You will apply this knowledge working in industry and academic placements.
You will further develop and apply your analytic and technical skills to interrogate and understand large and complex real-world data sets drawn from academic, governmental and business problems. You will continue to develop your communication skills through a combination of written, oral and multimedia presentations, which communicate your analysis and conclusions to a range of potential stakeholders. Finally, you will work in teams to enhance your project management, collaborative and leadership skills.
The placements will embed you in data science teams in a range of government, industry and academic settings. These placements will be complemented by weekly seminars to provide insight into real problems faced by experts in the field.
Sourced from the Monash Handbook 2026.
Quick facts
- Credit points
- 12
- Level
- 3
- Audience
- Undergraduate
- Type
- Coursework
- School
- Faculty of Science
- Handbook year
- 2026
Prerequisites (4)
- Data challenges 4ADS2002
- Modelling for data analysisFIT2086
- Introduction to computational mathematicsMTH2051
- Mathematics of uncertaintyMTH2222
What it unlocks
Nothing in the visible graph depends on this unit.
Offerings (3)
- Second semesterMalaysia · IMMERSIVE / Clayton · IMMERSIVE
- First semesterMalaysia · IMMERSIVE