What's on?

Get involved in Monash IT events and get networking with your fellow students and our dedicated staff.

Jan20

Graduate study info session

IT is also critical to the efficiency and success of industries and organisations around the world. Taught by leading academics, join us to discover how a master's degree in one of these areas equips you with in-demand skills –and the power to future-proof your career.

Until Mar7

Get the latest tech insights: Relive our 2020 Monash Tech Talks

Free replays – on demand

Our series this year explored a range of topics relevant to the industries, businesses and communities of today. They’re the perfect way to expand your knowledge by hearing from leading specialists.

Mar11

Women in Technology Alumni Mentoring Program - ‘Presenting your inner professional’ mentee Q&A

Our preliminary Q&A session on ‘Presenting your inner professional’ is a chance for mentees to pose all their networking questions to an alumni and industry panel.

The WIT Alumni Mentoring program is returning for the third year in 2021. The program will run twice - March to May (semester one) and again from August to October (semester two).

Mar16

Women in Technology Alumni Mentoring Program - Launch event

Mentors and mentees are introduced to the program and each other. We also provide all tools and resources for the program, and partnerships are given the opportunity to plan their goals.

The WIT Alumni Mentoring program is returning for the third year in 2021. The program will run twice - March to May (semester one) and again from August to October (semester two).

Until Mar23

iConference 2021

The iConference series is presented by the iSchools, a worldwide association of Information Schools dedicated to advancing the information field, and preparing students to meet the information challenges of the 21st Century. Affiliation with the iSchools is not required—all information scholars, researchers and practitioners are welcome at the iConference.

April22

Women in Technology Alumni Mentoring Program - Networking Event

In a facilitated workshop, mentees are given the chance to build their communication and presentation skills. Mentors are invited to connect with other mentors and industry partners. Afterwards, both parties engage in a structured speed networking session.

The WIT Alumni Mentoring program is returning for the third year in 2021. The program will run twice - March to May (semester one) and again from August to October (semester two).

Until May13

ACM CHI Conference on Human Factors in Computing Systems

The ACM CHI Conference on Human Factors in Computing Systems is the premier international conference on Human-Computer Interaction. CHI – pronounced ‘kai’ – is a place where researchers and practitioners gather from across the world to discuss the latest in interactive technology. CHI is generally considered the most prestigious in the field of HCI and attracts thousands of international attendees annually. CHI will be held for the first time as an online virtual conference.

May18

Women in Technology Alumni Mentoring Program - Celebration Event

At the end of the program, our mentors and mentees gather to celebrate their progress, share their experiences and reflect on their journeys. We also award certificates to participants who successfully complete the program.

The WIT Alumni Mentoring program is returning for the third year in 2021. The program will run twice - March to May (semester one) and again from August to October (semester two).

Until May31

Enhance your career: Driving decision-making with data

Gain in-demand data science skills – in 12 short weeks

Through hands-on activities and a comprehensive curriculum covering data wrangling, statistical models, R programming, data analysis workflows, data collection and more, this microcredential equips you to:

  • read different data formats and use web scraping to collect data
  • apply effective techniques to wrangle and visualise data, and accurately interpret analysis results
  • design smart solutions to address challenges in big data
  • apply modelling techniques and effective visualisation to make decisions with data
  • compare and contrast a range of statistical and machine-learning tools
  • identify and assess ethical, legal, social and organisational issues in data science