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Unit of study_

Data Science in Business - BUSS6002

Year - 2018

Growing volumes of data and, more importantly, the computation power to analyse it are now widely recognised as key business assets. No single discipline has the tools to make the most of these assets. Instead successful "big data" capability requires (a) the ability to understand how data can (and often cannot) be used to generate new insights into substantive problems (b) knowledge of how data are generated and used and (c) the ability to understand connections between variables captured in data. This unit provides an overview of principles from the disciplines of Business Information Systems and Business Analytics, applied in the context of Marketing problems, relevant for using 'big data' in business planning, decision-making and operations.

Classes
seminars: 3 hours per week x 13 weeks

Assessment
Quiz 1 (10%), Quiz 2 (10%), Quiz 3 (10%), Quiz 4 (10%), Assignment A (Business Analytics) (20%), Assignment B (Customer Analytics) (30%), and Assignment C (Data Visualisation Activity) (10%)

Details

Faculty: Business (Business School)

Semester 1

05 Mar 2018

Department/School: Business Analytics
Study Mode: Normal (lecture/lab/tutorial) day
Census Date: 31 Mar 2018
Unit of study level: Postgraduate
Credit points: 6.0
EFTSL: 0.125
Available for study abroad and exchange: Yes
Faculty/department permission required? Yes
Location
Camperdown
Faculty: Business (Business School)

Semester 2

30 Jul 2018

Department/School: Business Analytics
Study Mode: Normal (lecture/lab/tutorial) day
Census Date: 31 Aug 2018
Unit of study level: Postgraduate
Credit points: 6.0
EFTSL: 0.125
Available for study abroad and exchange: Yes
Faculty/department permission required? Yes
Location
Camperdown
Courses that offer this unit

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