Data Analytics Boot Camp - PDC1002

Data Analytics Boot Camp

Professional development short course

Monash University Data Analytics Boot Camp puts the learner experience first, teaching you the knowledge and skills to conduct analytics on a wide array of real-world problems.

In just 24 weeks, you’ll journey through a challenging curriculum and gain the specialised skills needed to analyse big data and turn it into clear insights. With a part-time schedule, allowing you to fit this program into your life whether you’re attending university or working full-time.

This program is based on hands-on learning. Through an immersive classroom experience, you will dive into in-demand technologies like Excel, Python, JavaScript (D3.js, Leaflet.js), HTML5/CSS, API interactions, SQL, Tableau, fundamental statistics, machine learning, Git/GitHub, and more. Collaborating with your classmates and also working individually, you’ll take your new skills and put them to use on comprehensive projects.

These projects allow you to build a professional portfolio that showcases your skills to stand out in today’s job market.

Earn a Monash digital badge

Monash is a university that combines world-leading teaching and research, and consistently ranks in the world’s top 100 universities. When you complete the Data Analytics Boot Camp, you’ll be awarded a Monash digital badge that you can share with your networks and prospective employers. By learning with us, you position yourself at the forefront of innovating for a better future, and with a Monash digital badge, you’ll have verifiable evidence to demonstrate your new skills and knowledge.

Accelerate your qualification

Successful completion of the Data Analytics boot camp program gives the following academic credit for postgraduate study at Monash University:

Please note that completion of the boot camp does not guarantee entry into these courses.  You will still need to meet the entry requirements for each course.  Once you have applied, been offered a place on the course and accepted that offer, you will be able to apply for academic credit.

At a glance


2022 Classes begin quarterly

1 February
2 May
1 August
1 November


Classes held three times a week


24 weeks





Alumni discounted fees