Perform new course search

Search Filter

Big Data (9938.2)

Level: Level 3 - Undergraduate Advanced Unit
Credit Points: 3
HECS Bands: 2
Faculty: Faculty of Business, Government & Law
Discipline: Canberra Business School

Availability

Possible changes to your unit's learning activities and assessment items

For the remainder of 2020, resulting from Australian Government's directives requiring physical distancing and restrictions on movement because of the COVID-19 pandemic, any exams that are required for assessment in a unit will be online exams. Online exams may also use online proctoring to help assure the academic integrity of those exams. Please contact your unit convener with any questions.

While the University has made efforts to ensure that Unit Outlines reflect a unit’s learning activities and assessment items, any changes to Australian Government directives because of the COVID-19 pandemic may require changes to these during the semester to ensure the safety and well being of students and staff. These changes will not be updated in the published unit outline, but will be communicated to you via your unit’s UCLearn(Canvas) teaching site. Any changes made will continue to meet the unit’s learning outcomes, as described in the Unit Outline.

Unit Outlines

To view your Unit Outline, click View to log in to MyUC and access this information, or visit your unit's online teaching site.

  • Teaching Period 4, 2020, ONLINE, DUCERE-ONL (197886) - View
  • Teaching Period 1, 2020, ONLINE, DUCERE-ONL (197884) - View
  • Teaching Period 4, 2019, ONLINE, DUCERE-ONL (187777) - View
  • Teaching Period 1, 2019, ONLINE, DUCERE-ONL (187690) - View
  • Teaching Period 4, 2018, ONLINE, DUCERE-ONL (181053) - View
  • Teaching Period 2, 2018, ONLINE, DUCERE-ONL (184890) - View

If a link to your Unit Outline is not displayed, please check back later. Unit Outlines are generally published by Week One of the relevant teaching period.

Syllabus

In this unit, students will be introduced to the concepts of big data and how it can be applied in modern business contexts. Following on from developing their understanding of the various methodologies for collecting and interpreting Big Data, students will work on its application to improve business performance. Students completing this unit will have a demonstrated capacity to identify and articulate appropriate metrics for measuring business performance across all departments in varying business types and thus, how to identify pertinent trends to overall business performance. This unit is delivered self-paced online, requiring students to self-manage their work load, developing many skills required of outstanding graduate students.

Learning Outcomes

On successful completion of this unit, students will:

1. Clearly explain the concept of Big Data and its importance for modern business;

2. Design data collection strategies that provide relevant information for business decision making;

3. Effectively communicate an understanding the various types of big data and the function of each;

4. Interpret big data and provide recommendations to business decision makers; and

5. Identify and articulate relevant metrics for business performance across departments, sectors and business types.

Assessment Items

Contact Hours

Online and self-paced study equivalent to 150 total learning hours.

Prerequisites

Successful completion of 36cp

Corequisites

Enrolment in one of: Bachelor of Applied Entrepreneurship, 334JA; Bachelor of Applied Entrepreneurship (Social Entrepreneurship), 335JA; Bachelor of Applied Business (Management), 332JA; Bachelor of Applied Business (Marketing), 333JA

Assumed Knowledge

None.

Incompatible Units

None.

Equivalent Units

None.


Print this page
ApplyEnquire
Why choose UC

Perform new course search

Search Filter

Frequently Asked Questions