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 specified elective subjects
• 4 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.

ICMS have an impressive network of Industry Partners in technology and business. This means that our ICMS graduates gain more than just a degree during their time studying with us.

Built into the Bachelor of Information Technology (Big Data and Analytics) qualification are two Work Integrated Learning (WIL) subjects, competed over two trimesters, in which students complete a Professional Placement. This is also sometimes called an ‘Internship’.

In the study period prior to the first WIL subject, our team of consultants work to secure a suitable placement that is the best fit for our student’s unique skills, interests and professional goals.

That means that ICMS graduates have work experience on their CV; a network of contacts; and the confidence to jump straight into their chosen career.

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.