Big Data (9938.2)
|Available teaching periods||Delivery mode||Location|
|View teaching periods|| Online
|| UC - Ducere, Online
|0.125||3||Faculty Of Business, Government & Law|
|Discipline||Study level||HECS Bands|
|Canberra Business School||Level 3 - Undergraduate Advanced Unit|| Band 2 2021 (Commenced After 1 Jan 2021)
Band 3 2021 (Commenced Before 1 Jan 2021)
Learning outcomesOn 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.
Graduate attributes1. UC graduates are professional - communicate effectively
1. UC graduates are professional - employ up-to-date and relevant knowledge and skills
1. UC graduates are professional - use creativity, critical thinking, analysis and research skills to solve theoretical and real-world problems
2. UC graduates are global citizens - think globally about issues in their profession
2. UC graduates are global citizens - communicate effectively in diverse cultural and social settings
2. UC graduates are global citizens - make creative use of technology in their learning and professional lives
3. UC graduates are lifelong learners - reflect on their own practice, updating and adapting their knowledge and skills for continual professional and academic development
3. UC graduates are lifelong learners - be self-aware
PrerequisitesSuccessful completion of 36cp
CorequisitesEnrolment 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
|Year||Location||Teaching period||Teaching start date||Delivery mode||Unit convener|
|2021||UC - Ducere, Online||Period 1||01 February 2021||Online||Dr Jennifer Loh|
|2021||UC - Ducere, Online||Period 4||02 August 2021||Online||Dr Jennifer Loh|
|2022||UC - Ducere, Online||Period 1||31 January 2022||Online||Dr Jennifer Loh|
Submission of assessment items
Extensions & Late submissions
The below is applicable to Ducere students:
All coursework must be submitted online via the submission portals set up within the Ducere Learning Management System.
The submission file name should be in the following format:
Further details can be found in the Ducere Course Outline.
Special assessment requirements
To pass this unit, students must obtain an aggregate mark of 50% or more.
Daily activity on the Ducere Learning Management System is strongly recommended.
Required IT skills
Proficiency in the Microsoft Office suite or equivalent is highly recommended.
A desire to explore new software and technologies is encouraged.
Basic navigation skills to utilise the Learning Management System effectively.
Work placement, internships or practicums