Industrial/Research Project - 2017

To enrol in this unit, you must be accepted into a course from the provider. Read before you start

Unit summary


  • Level of Study: Postgraduate
  • Study load: 0.125 EFTSL
  • Delivery method: Fully Online
  • Prerequisites: Yes
  • Duration: 13 weeks
  • Government loans available: FEE-HELP
  • Availability for 2016: SP3
  • Availability for 2017: SP3
  • Assessment: Presentation (20%) , Proposal (20%) - Learn more

Unit provided by

2017 Fees
Domestic 2,600.00
Domestic continuing 2,472.00
International 2,850.00
International continuing 2,722.00

2017 Swinburne tuition fees are reduced for continuing postgraduate students.
Please login in to view the applicable amount.

The aim of this unit of study is to provide students with the opportunity to apply the statistical skills acquired throughout their course in undertaking a research project. Students will be required to negotiate a suitable research topic with a supervisor and to obtain/generate an appropriate data set.

On successful completion of this unit students will be able to: 
  1. Analyse suitable data sets and conduct a relevant literature review
  2. Devise research questions and formulate hypotheses which are applicable for a specific secondary data set
  3. Prepare the data for analysis and choose appropriate statistical techniques
  4. Choose a range of multivariate or other appropriate statistical analyses, including relevant assumption testing, and interpret the results
  5. Evaluate the support for hypotheses using the results and suggest limitations for the current research
  6. Synthesise conclusions with literature review suggesting directions for future research
  7. Appraise findings and conclusions using a 5000 word report or paper and a presentation.
  • Presentation (20%)
  • Proposal (20%)
  • Research Paper (60%)

Mandatory prerequisites

You must have successfully completed the following unit(s) before starting this unit:

If you have completed equivalent study at another university, please contact a Student Advisor for advice.

  • Broadband access

In order to enrol in this unit, you must be accepted into one of the following courses:

Please visit the course details page and read the Requirements tab for more information about eligibility.

This unit addresses the following topics.

1Formulation of research questions/hypotheses
2Literature review relating to the above
3Review of statistical methodology to be used
4Exploratory data analysis
5Statistical analysis
6Discussion of results

This unit is delivered using the following methods and materials:

Instructional Methods

  • Discussion Forum/Discussion Board
  • Online Quizzes/Tests
  • Online assignment submission
  • Podcasting/Lecture capture
  • Standard Media
  • Web links

Print based materials

  • Welcome Letter

This unit is a core requirement in the following courses:

This unit may be eligible for credit towards other courses:

  1. Many undergraduate courses on offer through OUA include 'open elective' where any OUA unit can be credited to the course. You need to check the Award Requirements on the course page for the number of allowed open electives and any level limitations.
  2. In other cases, the content of this unit might be relevant to a course on offer through OUA or elsewhere. In order to receive credit for this unit in the course you will need to supply the provider institution with a copy of the Unit Profile in the approved format, which you can download here. Note that the Unit Profile is set at the start of the year, and if textbooks change this may not match the Co-Op textbook list.

Textbook information for this unit is currently being updated and will be available soon. Please check back regularly for updates. Alternatively, visit the The Co-op website and enter the unit details to search for available textbooks.

Enquire online

Need to ask a question that's best put down in words?
Make an online enquiry.

Enquire now

Ready to enrol?

Start studying this unit now.


Got a question?

Get an answer from one of our friendly Student Advisors.