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Bachelor of Information Technology (Big Data and Analytics)

Bachelor of Information Technology (Big Data and Analytics)

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  • Course Overview
  • Course Structure

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 specialisation 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, completed over two trimesters, in which students undertake 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.

Quick facts

  • CRICOS Course Code: 115068B
  • UAC Course Code: TBA
  • Accreditation Status: Active
  • AQF Level: 7
  • Campuses: Northern Beaches Campus, Manly* | City Campus, Sydney*
  • Duration: 3 years (or part-time equivalent)
  • Accelerated Duration: 2.3 years
  • Industry Training: Minimum 600 hours
  • FEE-Help: Yes, available to Domestic students
  • Study Mode: On-campus
  • Start: February, May, August | Mid-Term Intakes: March, June, October & December (when offered)
  • Indicative Student Enrolments: N/A, new course

*Subject to Availability

** In accordance with the Australian Government ESOS National Code international students on a student visa can only undertake 33% of their total enrolment load online and must be enrolled in at least one (1) on-campus subject in each compulsory study period. Learn more

Career Options

The Bachelor of Information Technology (Big Data and Analytics) offers opportunities to pursue a career in any sector, without limiting your employability to one specialised area within IT.

The demand for skilled IT professionals is reflected in the various skilled migration occupations and pathways that are currently available in Australia.

The Bachelor of Information Technology (Big Data and Analytics)  could open up a range of career opportunities for graduates within the systems, networks and database sectors that are currently identified as ‘strategic skills’ by the Australian Government.

  • ICT Business Analyst
  • Database Administrator
  • Database Analyst
  • Data Analyst
  • Data Mining Officer
  • Data Warehouse Administrator
  • Data Centre Support Specialist
  • Information Analyst
  • Business Intelligence Analyst

Related Content

The course information on this website is indicative of a typical study pattern only and is subject to change. Enrolled students will be made aware of changes to their course structure or subjects. Not all subjects are offered every trimester. The Academic Consulting Office can assist you with subject selection and structuring your course. A typical full-time study load is between 6 and 8 subjects per year (an equivalent to 24 credit points).

Bachelor of Information Technology (Big Data and Analytics)
Prospectus 2024