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Specialisation

In response to COVID-19, the University of Sydney has reviewed the availability of courses to be delivered remotely for students commencing their studies in Semester 1, 2021.

This course component will be available to study remotely for students commencing in Semester 1, 2021. Please note that some units of study that are not essential to completing the course component may not be available to be studied remotely.

Note: The University intends to offer as many units of study as possible in a remote as well as face-to-face learning method of delivery in Semester 1, 2021 and subject to ongoing border closures and public health orders impacting attendance on campus, in Semester 2, 2021. However, some units of study and courses require students to study in-person at the relevant University of Sydney campus/es and host locations for placements and will not be available remotely.

About this specialisation

The Data Analytics for Business specialisation enables students to master the tools of quantitative analysis and apply them in a business setting. This involves building models of business problems and analysing business data.

In today’s business environment where “the world’s most valuable resource is no longer oil but data”, businesses need more and more people with skills to extract insight from data and turn it into profit potential.

Students will be able to utilise techniques from optimisation, statistics and artificial intelligence, together with business knowledge, to assist in business decision making.

This specialisation provides opportunities to apply responsibly sophisticated analytical approaches to many different functional areas, such as accounting, marketing, finance and operations.

About this specialisation

To meet requirements for the Data Analytics for Business specialisation, you will complete 30 credit points, comprising:

(1) 6 credit points of foundational unit of study for this specialisation:

  • Foundation in Data Analytics for Business

(2) 6 credit points of core units of study for this specialisation:

  • Introduction to Data Science

(3) 18 credit points of degree level selective units of study for this specialisation:

  • Managing with Data
  • Data Visualisation for Managers
  • Managing Data at Scale
  • Spatial Analytics
  • CRM / Customer Relationship Management
  • Marketing Machine Learning
  • Customer Social Data Analytical Tools
  • Business Operations Analysis
  • Statistical Learning and Data Mining
  • Business Risk Management
  • Financial Time Series and Forecasting
  • Predictive Analytics
  • Machine Learning
  • Visual Data Analytics

Graduate opportunities

Businesses are in high demand of data analysts who can work efficiently in a business quantitative team, and communicate well with both high level managers and highly skilled statisticians.

The Data Analytics for Business specialisation helps students develop conceptual and technical skills in business, statistics, machine learning and artificial intelligence that gives them opportunities across the business sectors and beyond.

Graduates can pursue rewarding careers as:

  • Business data analysts
  • Data scientists
  • Market researchers
  • Commercial bankers
  • Financial planners
  • Fund Managers
  • Risk managers
  • Operation managers
Courses that offer this specialisation

To commence study in the year

To commence study in the year

The course information on this website applies only to future students. Current students should refer to faculty handbooks for current or past course information.

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