ADS4100 Industry research project
Faculty of Science
ADS4100 Industry research project is a level 4, 24-credit-point, undergraduate and postgraduate unit from the Faculty of Science, offered in 2026 in Semester 2 at Clayton. It has no prerequisites.
- Credit points
- 24
- Offered in 2026
- Semester 2
- Clayton
- Assessment
- No exam
- 2 tasks
This is the 2026 handbook entry. See the 2027 entry.
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Requisites
Before ADS4100
No prerequisites or corequisites besides the enrolment rules below.
After ADS4100
No unit lists ADS4100 as a prerequisite in the 2026 handbook.
Enrolment rules
PREREQUISITE: Enrolment in the Bachelor of Applied Data Science Advanced (Honours) and completion of 144 credit points of study.
Overview
In this unit you will undertake a semester long research project in data science. The research project will embed you in a data science team in a government, industry or academic setting. This project will draw together the mathematical, computational and applied skills developed in the Bachelor of Applied Data Science, and the research skills developed in the coursework component of the Honours year.
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 the writing of a major report and a seminar presentation, which communicate your analysis and conclusions to a range of potential stakeholders.
The research project will be complemented by weekly seminars to provide insight into real problems tackled by experts in the field.
Offerings in 2026
| Teaching period | Campus | Mode |
|---|---|---|
| Second semester | Clayton | Immersive |
Assessment
- Research ReportWritten80%
- Oral presentation on researchPresentation20%
Assessment details may change. Please refer to the assessment information in Moodle closer to the start of the teaching period.
Learning outcomes
When you finish this unit, you should be able to:
- 1
Critically analyse data-oriented projects to break these down into achievable tasks;
- 2
Understand, synthesise and summarise the existing relevant literature;
- 3
Clearly communicate complex ideas to potential stakeholders using a variety of approaches;
- 4
Effectively manipulate, analyse and visualise data;
- 5
Implement a range of advanced machine learning algorithms;
- 6
Undertake independent research on data science techniques and relevant domain knowledge;
- 7
Present your findings in a written thesis and oral presentation.
Workload and teaching
- Seminars12 hours
- Teaching approachActive learning
- Four days per week (approx. 34 hours) of placements and
- 14 hours of independent project work and reflective practice per week.
The objectives of this unit are to introduce you to topical research in data science, develop your research skills such that they can undertake independent research and develop their written and oral communication skills to a professional standard. Therefore, the most appropriate learning method is active learning, which is achieved through industry placements and weekly seminars.
You will be embedded in organisations and undertaking active learning. You will apply your accumulated knowledge to critically analyse the relevant literature, plan and complete projects, interrogate large and complex data-sets, implement advanced machine learning algorithms on the data, research new data science techniques to apply to your project, and communicate your results to a range of stakeholders through written and oral presentations (LO1-LO7).
Learning resources
Resources
You must regularly check the Moodle page for announcements relating to this unit.
Contacts
- Unit Coordinators
- Dr Hassan Fallahgoul
- Chief Examiners
- Dr Hassan Fallahgoul
Common questions
What are the prerequisites for ADS4100?
ADS4100 has no prerequisites, but enrolment rules apply.
When is ADS4100 offered?
In 2026, ADS4100 runs in Semester 2 at Clayton.
Does ADS4100 have an exam?
No. ADS4100 has 2 assessment tasks and no exam.