Faculty of Business and Law


The Faculty of Business and Law hosts public lectures, research seminars, information sessions and events for current students throughout the year.

Swinburne Abroad information sessions

Learn about all overseas study opportunities available to you as part of your Swinburne degree.

Learning from Entrepreneurs

Join us for the first Learning from Entrepreneurs Seminar for 2018 to hear from Shourov Bhattacharya

Startup Workshop at the Innovation Precinct

Do you have an idea? Do you want to take your business idea to the next stage?

Survey Design (STAA0004A )

Skills in the collection of survey, observational, experimental and secondary data.

Introduction to SAS (STAA0006)

Students will use this statistical software to develop their knowledge in data management, data presentation, and statistical analysis.

Simple Linear Regression and ANOVA (STAA0002)

Statistical techniques including Simple Linear Regression and ANOVA

Introduction to R (STAA0003A)

In this course you will learn how to install and configure R software. You will also learn how to read data into R, access R packages, and organise and comment R code.

Open Mic and Networking at the Innovation Precinct

Do you have an idea to share? Are you interested in working in a startup? Or want to meet other entrepreneurially minded people?

Swinburne World Kitchen

Celebrate the cultural diversity of our students and the joy of sharing food experiences from all corners of the globe.

Professional Internships information session

Looking for a flexible, short-term, project-based industry experience over one semester? Learn more at our Professional internships information session.

AGSE Oration

Join us for the inaugural AGSE Oration in honour of a significant entrepreneur, philanthropist, businessman and leader - Geoff Harris.

CXI Inspiration Series - Amplifying experience: reflections for tomorrow

CXI Research Group invites you to a breakfast with Sean Sands, Tara Ness and Bernie Brookes about Amplifying experience: reflections for tomorrow.

Using R for Statistical Analysis (STAA0003B)

In this course you will learn key programming principles of R and how to develop and perform different types of statistical analyses and data visualisation.

Factor Analysis and MANOVA (STAA0005B)

Factor Analysis covers exploratory factor analysis (EFA).