Master of Information Technology (Big Data and Analytics)

The ICMS Master of Information Technology (Big Data and Analytics) is an innovative postgraduate degree which meets an explosion of opportunity for those who can design, develop, and implement contemporary and creative data analytics solutions to complex real-world problems. 

This is an exciting time to be in Information Technology (IT). New skills such as data visualisation, data analytics programming, big data and artificial intelligence (AI) are now being demanded by organisations who recognise the need to be able to  respond to fast changing technologies quickly.

Big Data Analytics professionals leverage the power of big data to inform strategic decision making and drive change within organisations.

The MIT (Big Data and Analytics) is a contemporary and industry-aligned degree designed to develop critical judgment, advanced knowledge and specialised skills to be able to succeed in the dynamic data analytics sector.

The degree blends the practical and theoretical aspects of data analytics across a range of essential IT domains, encompassing Business Intelligence, Big Data Architecture and Management, Persuasive Data Visualisation and Communication, Advanced Data Analytics, Deep Learning Analytics and Cyber Security as integral components of their comprehensive curriculum.

Additionally, students will have an opportunity to complete a Data Analytics IT Consulting Project, as well as gain real-world work experience through their Professional Placement.

The ICMS Master of Information Technology (Big Data and Analytics) offers:

• 4 x Core subjects
• 6 x Specialisation subjects
• 2 x WIL Professional Placement subjects (Internship)
• 2 x Elective subjects

14 Subjects in total (64 credit points)

Pathway

If you are looking for an introduction to the MIT (Big Data and Analytics), you could choose to begin your studies with a pathway option:

• Graduate Certificate of Information Technology

With a strong emphasis on industry relevance, the ICMS MIT (Big Data and Analytics) degree goes beyond theoretical knowledge, placing students in real-world IT job settings as an integral part of their qualifications.

As an ICMS MIT (Big Data and Analytics) student you will have the opportunity to complete a Professional Placement (internship) in an Australian or international business within your two (2) Work Integrated Learning (WIL) subjects, included within the degree.

Professional placements are arranged for you by the dedicated ICMS WIL team who will work with you to secure an individually tailored internship role aimed at building your Australian business networks and connections, as well as providing real life work experience that supports your future career aspirations.

Data analytics professionals can use their skills to explore how data analytics with AI and machine learning can be used to recognise patterns and to make predictions, supporting organisations in building a sustainable competitive advantage.

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

The MIT (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.

The course is designed for you if you have a passion for information technologies – regardless of your IT background. By providing you with a scholarly and practical learning environment we will enable you to develop and augment your current skills in the field.

As an MIT (Big Data and Analytics) student you will have an opportunity to build up your technical and non-technical skill sets to contribute to the workforce in many diverse industry environments. 

Not only will the MIT (Big Data and Analytics) degree enhance your industry recognition but you will be able to take advantage of the high wages that those with these skills can demand.

As well as the MIT (Big Data and Analytics), ICMS also offers a more general master’s degree with optional specialised electives subjects.

• Master of Information Technology

Alternatively, you could choose to specialise in the:

• Master of Information Technology (Cyber Security)

This specialisation MIT degree meets demand for new skills such network security, cyber security management, security operations and identity management, Internet of Things (IoT) and cloud security, cyberlaw, ethics and governance. It also explores advanced cyber security topics and the latest industry trends such as the use of artificial intelligence (AI) and blockchain technology for threat management and mitigation.

Upon successful completion of the ICMS Master of Information Technology (Big Data and Analytics) you will able to:

• Demonstrate mastery of the IT discipline within the data analytics domain, employing relevant industry standards and best practices within an organisational context.
• Design, develop, and implement contemporary and creative data analytics solutions to complex real-world problems, exhibiting critical judgment, advanced knowledge and specialised skills that underpin the key aspects and dynamics of the data analytics sector.
• Research, contextually apply, and exchange information with specialist and non-specialist audiences using emerging digital technologies and conforming to the principles of information ethics and relevant regulatory provisions. 
• Effectively collaborate with others from diverse backgrounds and with varying levels of IT proficiency, using fit-for-purpose communication methods. 
• Embrace innovation and change in an array of data analytics contexts, exercising authentic and inclusive leadership, agility, emotional and social capabilities. 
• Build collegiality in professional practice with diverse communities, applying universal ethical principles and data analytics profession specific codes of conduct in a culturally adept and socially responsible fashion. 
• Work autonomously and responsibly in the dynamic data analytics environment by implementing self-management strategies, enacting intellectual independence, and evaluating own performance for continuing professional development as a data analytics practitioner.