Data science is the most powerful tool we have for separating scientific fact from fiction. In this course, you'll explore practical and relevant problems in Earth and Environmental Sciences by learning how to interpret data, assess uncertainty, model outcomes and make informed decisions. You'll tackle questions like:
“How can I make predictions of the future?”
"Where should I expend the most effort to improve my results?”
“What accuracy and how many measurements do I need?”
“Is this result meaningful, or just random chance?”
"Why is this happening and what's driving the change?"
Using real-world examples and hands-on activities, you’ll develop analytical thinking and quantitative problem-solving skills that are highly valued across science and industry. This course provides a foundation in essential tools, including data analysis, modelling and statistics, through engaging, problem-based learning tailored to the challenges Earth and Environmental scientists face today.
Note: This course is co-taught with undergraduate students but assessed separately.
Learning Outcomes
Upon successful completion, students will have the knowledge and skills to:
- Critically appraise the suitability and quality of datasets for Earth System science problems.
- Design and justify data management approaches based on contemporary best practices including FAIR data principles.
- Synthesise and critique research quality, appropriateness of analyses, and validity of conclusions.
- Use statistics, mathematics and programming to formulate and solve Earth System science problems.
- Write reproducible, well-structured Python code to analyse, visualise and model data and create simulations.
- Contribute effectively in team coding environments using version control.
- Develop as an independent researcher and communicate data-driven concepts effectively.
Indicative Assessment
- Collaborative programming task using GitHub to develop a data analysis workflow (15) [LO 2,5,6,7]
- Individual Project report write up / presentation / showcase (40) [LO 1,3,4,5,7]
- Individual Project including data plan, tooling plan, time-frames (25) [LO 1,4,7]
- Group notebooks for project activities (5) [LO 1,3,6,7]
- Tasks in weeks 2,3,4 (hurdle / mastery) (15) [LO 2,4,5,6]
The ANU uses Turnitin to enhance student citation and referencing techniques, and to assess assignment submissions as a component of the University's approach to managing Academic Integrity. While the use of Turnitin is not mandatory, the ANU highly recommends Turnitin is used by both teaching staff and students. For additional information regarding Turnitin please visit the ANU Online website.
Workload
The expected workload will consist of approximately 130 hours throughout the semester including:
Face-to face component which is expected to consist of:
- Weeks 1-4: 2 x 2 hour practicals and 1 x 1 hour tutorial per week
- Weeks 5-6 and 7-12: 1 x 2 hour Lectorial and 1 x 3 hour practical per week
- 1/2 day student conference (presentations or posters)
- Approximately 60-70 hours of self-directed study which will include preparation for lectures, practicals and other assessment tasks.
Students are expected to actively participate and contribute towards discussions.
Inherent Requirements
No specific inherent requirements have been identified for this course.
Prescribed Texts
A list of prescribed texts will be provided within the class summary.
Fees
Tuition fees are for the academic year indicated at the top of the page.
Commonwealth Support (CSP) Students
If you have been offered a Commonwealth supported place, your fees are set by the Australian Government for each course. At ANU 1 EFTSL is 48 units (normally 8 x 6-unit courses). More information about your student contribution amount for each course at Fees.
If you are a domestic graduate coursework student with a Domestic Tuition Fee (DTF) place or international student you will be required to pay course tuition fees (see below). Course tuition fees are indexed annually. Further information for domestic and international students about tuition and other fees can be found at Fees.
Where there is a unit range displayed for this course, not all unit options below may be available.
| Units | EFTSL |
|---|---|
| 6.00 | 0.12500 |
Offerings, Dates and Class Summary Links
ANU utilises MyTimetable to enable students to view the timetable for their enrolled courses, browse, then self-allocate to small teaching activities / tutorials so they can better plan their time. Find out more on the Timetable webpage.
Class summaries, if available, can be accessed by clicking on the View link for the relevant class number.
First Semester
| Class number | Class start date | Last day to enrol | Census date | Class end date | Mode Of Delivery | Class Summary |
|---|---|---|---|---|---|---|
| 5434 | 22 Feb 2027 | 01 Mar 2027 | 31 Mar 2027 | 28 May 2027 | In Person | N/A |