Bachelor of Information Technology (Big Data and Analytics)

The ICMS Bachelor of Information Technology (Big Data and Analytics) is an innovative undergraduate degree meeting the industry’s growing demand for experts in Big Data, Analytics and Intelligence.

The accelerating digitisation of business is reshaping every sector of the economy. With globalisation, automation, and artificial intelligence (AI) on the rise, organisations worldwide are bracing for a surge in opportunities alongside inevitable threats. A nimble, adept workforce is needed to confront these emerging challenges.

These rapid transformations present a plethora of new avenues for graduates showcasing digital fluency and competency, highly sought-after skills both in Australia and across the globe. Graduates can help organisations make informed decisions, gain a competitive advantage, improve efficiency, enhance the customer experience, and manage risks effectively in today’s data-driven world.

There has never been a better time to begin a career in the exciting and dynamic Information Technology (IT) sector. 

The ICMS Bachelor of Information Technology (Big Data and Analytics) offers 26 subjects in total:

• 12 core IT subjects
• 8 IT specified elective subjects
• 4 general elective subjects
• 2 Work Integrated Learning (WIL) subjects.

Tailored to equip students with essential skills, graduates specialise in Business Data Analytics, Applied Data Mining, Computational Thinking and Algorithms, Big Data Systems, Data Visualisation and Storytelling, Web and Text Analytics, AI and Machine Learning, and Data Governance. Focused on practical application and industry relevance, this program empowers graduates to harness the power of data, drive innovation, and make informed decisions in the rapidly evolving digital landscape.

Additionally, the degree emphasises professional development through project management studies and real-world experience gained via professional placements, ensuring graduates are well-equipped to become leaders in the dynamic field of Big Data and Analytics.

Browse the Course Structure tab above to see a full list of subjects offered.

The Australian Technology Skills Grant supports domestic (Australian and New Zealand) students starting out in technology careers. This is to help meet Australia’s growing need for skilled tech professionals.

Learn more and see if you’re eligible.

ICMS is a proud member of the Australian Computer Society (ACS) Professional Partner Program (PPP), demonstrating our strong commitment to industry engagement and student employability.

As part of the PPP, ICMS provides free ACS membership to information technology students, giving them access to:

• Cutting-edge industry knowledge and mentoring from experienced technology professionals
• ACS Skillsoft – a digital library with more than 35,000 learning resources
• Over 400 networking and professional development events annually
• Tailored career advice and support from the ACS team

With more than 47,000 members across business, government, and education sectors, ACS is Australia’s largest professional community for technology professionals.

As a nationally recognised leader in the technology sector, ACS plays a critical role in shaping Australia’s digital future – and through this PPP, ICMS students can be part of that journey.

Please note, membership with the Australian Computer Society (ACS) does not constitute course accreditation by ACS.

At ICMS we believe that the best learning experience combines practical and real world experience with a strong academic foundation. Our Work Integrated Learning (WIL) program is built into your degree and will prepare you for future success in the business world.

As part of WIL, you’ll complete a Professional Placement Preparation Program, then two trimesters of professional placement.

We have an impressive network of industry partners. These leading companies provide our ICMS community with invaluable industry insight and experience. When it is time to embark on your professional placement, we work closely with them to find a suitable placement that is the best fit for your skills, interests and professional goals.

As part of your Bachelor of Information Technology (Big Data and Analytics) journey, your professional placement could take you to a major city, regional area or regional area in Australia. You could even take up a position in an international city. It is all part of finding the best placement for you.

Not only is this an invaluable experience, it is also a chance to grow your professional network. For many of our graduates this experience introduces them to their future employers.

Information Technology students have gained valuable experience with placements at: 

• Toyota Finance 
• Benefit Cosmetics 
• People 2 People 
• MMMigration 
• SAP Australia 
• Atlassian 
• Oracle

These are just some of the many organisations where ICMS students have gained practical experience. Read more.

Disclaimer: Placement opportunities and career outcomes are subject to individual performance, program requirements, and industry availability. ICMS does not guarantee employment or specific placement outcomes.

Upon successful completion of the Bachelor of Information Technology (Big Data and Analytics) graduates will able to:

• Demonstrate broad and coherent knowledge of the data analytics discipline across a spectrum of core domains and their associated people, processes and technology aspects.
• Apply in-depth knowledge and capabilities from an area of the data analytics discipline to design and implement innovative data driven solutions by exercising industry standards, best practices, tools, and techniques.
• Work collaboratively and productively with others from diverse backgrounds in a range of IT and data analytics contexts, exhibiting adaptability, autonomy and employing emotional and social intelligence.
• Identify and critically evaluate business needs and apply data science specialist knowledge to propose innovative data-driven solutions for real-world problems.
• Develop and demonstrate data intelligence, analytical thinking and digital fluency in the contemporary digital landscape in accordance with best practices.
• Engage ethically with specialist and non-specialist stakeholders exhibiting professionalism, integrity, and cultural competence in practice in line with broader social responsibilities and civic issues pertaining to the data analytics field.
• Exert the principles and practices of self-management exhibiting accountability for own learning and development within broad parameters of the data analytics workforce.
• Reflect upon own learning experiences and apply lifelong learning skills in planning for ongoing professional development as a data analytics practitioner and learner.