University of Sydney Handbooks - 2019 Archive

Download full 2019 archive Page archived at: Tue, 05 Nov 2019 02:36:05 +0000

Business Analytics

The units of study listed in the following table are those available for the current year. Students may also include any units of study, which are additional to those currently listed, which appear under these subject areas in the Business School handbook/website in subsequent years (subject to any prerequisite or prohibition rules).

Timetabling information for the current year is available on the Business School website. Students should note that units of study are run subject to demand.

Table of postgraduate units of study: Commerce

Unit of study Credit points A: Assumed knowledge P: Prerequisites C: Corequisites N: Prohibition Session

Business Analytics

Achievement of a specialisation in Business Analytics requires 30 credit points from this table comprising:
(i) 6 credit points in foundational units of study
(ii) 24 credit points in elective units of study.

Units of study for the specialisation

Foundational unit of study

QBUS5001
Quantitative Methods for Business
6    A Basic calculus; basic concepts of probability & statistics
N ECMT5001 or QBUS5002
Semester 1
Semester 2

Elective units of study

QBUS6310
Business Operations Analysis
6    P ECMT5001 or QBUS5001 or QBUS5002
N ECMT6008
Semester 2
QBUS6320
Management Decision Making
6    A Basic Algebra, Probability, and Statistics
P QBUS5001 or QBUS5002
Semester 1
QBUS6810
Statistical Learning and Data Mining
6    P ECMT5001 or QBUS5001
Semester 1
Semester 2
QBUS6820
Business Risk Management
6    A Knowledge of basic probability theory and familiarity with spreadsheet modelling
P ECMT5001 or QBUS5001
Semester 2
QBUS6830
Financial Time Series and Forecasting
6    A Basic knowledge of quantitative methods including statistics, basic probability theory, and introductory regression analysis.
P ECMT5001 or QBUS5001
Semester 1
Semester 2
QBUS6840
Predictive Analytics
6    P QBUS5001 or ECMT5001
Semester 1
Semester 2
QBUS6850
Machine Learning for Business
6    P QBUS6810
Semester 1
Semester 2
INFS6018
Managing Business Intelligence
6    A Understanding the major functions of a business and how those business functions interact internally and externally so the company can be competitive in a changing market. How information systems can be used and managed in a business. How to critically analyse a business and determine its options for transformation. (ii) Desirable Experience as a member of a project team.
Semester 1