Statistical Modelling for Business

University of Sydney

Course Description

  • Course Name

    Statistical Modelling for Business

  • Host University

    University of Sydney

  • Location

    Sydney, Australia

  • Area of Study

    Business, Business Management, Management Science

  • Language Level

    Taught In English

  • Prerequisites

    BUSS1020 or ECMT1010 or equivalent

  • Course Level Recommendations


    ISA offers course level recommendations in an effort to facilitate the determination of course levels by credential evaluators.We advice each institution to have their own credentials evaluator make the final decision regrading course levels.

    Hours & Credits

  • Credit Points

  • Recommended U.S. Semester Credits
  • Recommended U.S. Quarter Units
  • Overview

    Statistical analysis of quantitative data is a fundamental aspect of modern business. The pervasiveness of information technology in all aspects of business means that managers are able to use very large and rich data sets. This unit covers a range of methods to model and analyse the relationships in such data, extending the introductory methods in BUSS1020. The methods are useful for detecting, analysing and making inferences about patterns and relationships within the data so as to support business decisions. This unit offers an insight into the main statistical methodologies for modelling the relationships in both discrete and continuous business data. This provides the information requirements for a range of specific tasks that are required, e.g. in financial asset valuation and risk measurement, market research, demand and sales forecasting and financial analysis, among others. Emphasis will be given to real empirical applications in business, finance, accounting and marketing, using modern software tools.

Course Disclaimer

Courses and course hours of instruction are subject to change.

Credits earned vary according to the policies of the students' home institutions. According to ISA policy and possible visa requirements, students must maintain full-time enrollment status, as determined by their home institutions, for the duration of the program.