Course Overview

About This Course

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.

Where You Can Study

Available Locations

151 Darley Road, Manly, NSW 2095Manning Building, Level 4, 451 Pitt Street, Sydney, NSWCity Campus, SydneyMANLYSydney

Eligibility

Entry Requirements

General Requirements

No specific entry requirements are listed on the page beyond the course being a postgraduate degree.
A pathway option is available: Graduate Certificate of Information Technology for those looking for an introduction to the MIT (Big Data and Analytics).
The course is designed for those with a passion for information technologies, regardless of IT background.
FEE-HELP: DFEE is available.
International students on a Student Visa can only undertake 33% of their total enrolment load online and must be enrolled in at least one on-campus subject in each compulsory study period, in accordance with the Australian Government ESOS National Code.

Career & Study Pathways

Where this takes you

Career Opportunities

Upon completion of the Master of Information Technology (Big Data and Analytics) qualification, students will have an opportunity to pursue a wide range of career options, including: ICT Business Analyst, Database Analyst, Business Intelligence Analyst, Data & Analytics Consultant, Senior Database Administrator, Data Mining Consultant, Data Manager, and Data Quality Manager. 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 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.

Quality & Recognition

Accreditation & Migration

Academic Regulator

TEQSA

Professional Body

Australian Computer Society (ACS)

Accreditation Status

Accredited

Skills Assessor

ACS

Course Content

Units of Competency

All Units3 units

Agile IT Project Management and Governance

Core subject included in Year One, Trimester 1

Enterprise and Network Cyber Security

Core subject included in Year One, Trimester 1

Database Management Systems

Core subject included in Year One, Trimester 1

Common Questions

Frequently Asked Questions

What is the structure of the MIT (Big Data and Analytics) degree?

The ICMS Master of Information Technology (Big Data and Analytics) consists of 14 subjects in total (64 credit points), comprising 4 core subjects, 6 specialisation subjects, 2 Work Integrated Learning (WIL) Professional Placement subjects (internship), and 2 general elective subjects.

Is a professional placement (internship) included in the degree?

Yes, professional placements are an integral part of the MIT (Big Data and Analytics). Students complete a Professional Placement (internship) in an Australian or international business within two Work Integrated Learning (WIL) subjects included in the degree. Placements are arranged by the dedicated ICMS WIL team, who work with students to secure an individually tailored internship role aimed at building Australian business networks and providing real-life work experience.

What ACS membership benefits do MIT (Big Data and Analytics) students receive?

ICMS is a proud member of the Australian Computer Society (ACS) Professional Partnership Program (PPP) and provides free ACS membership to information technology students. Benefits include 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, and tailored career advice and support from the ACS team. Please note, membership with the ACS does not constitute course accreditation by ACS.

What are the available intake dates and how long does the course take to complete?

The MIT (Big Data and Analytics) has main intakes in February, May, and August, with mid-term intakes in March, June, October, and December. The full-time duration is 2 years (or part-time equivalent), with an accelerated option available in 1.5 years. The course is delivered on-campus at the City Campus, Sydney.

What career outcomes can graduates of the MIT (Big Data and Analytics) expect?

Graduates of the MIT (Big Data and Analytics) can pursue careers as ICT Business Analysts, Database Analysts, Business Intelligence Analysts, Data & Analytics Consultants, Senior Database Administrators, Data Mining Consultants, Data Managers, and Data Quality Managers. The qualification may also provide various migration pathways for international students, with relevant occupations identified as 'strategic skills' by the Australian Government.

Application

How to Apply

Three simple steps to get enrolled

Step 01

Enquire

Click "Enquire Now" and tell us a little about yourself. It's free and takes 2 minutes.

Step 02

Submit Documents

Our team will guide you on exactly which documents to prepare and submit.

Step 03

Get Enrolled

Receive your offer letter and confirm your enrolment. Welcome to the course!

Course Snapshot

Salary, careers & skills

Typical Salary

Entry-level (0-2 years)AUD $65,000 to $85,000 per year

Early Career (2-5 years)AUD $85,000 to $110,000 per year

Mid-Level (5-10 years)AUD $110,000 to $150,000 per year

Career Paths

Software Developer / Software EngineerCybersecurity Analyst / Security EngineerData Analyst / Data ScientistCloud Solutions ArchitectNetwork Engineer / Network Administrator

Key Skills

Programming and software development (Python, Java, C++, JavaScript)Database design, management, and SQL queryingCybersecurity principles, threat detection, and risk managementCloud computing and platform management (AWS, Azure, Google Cloud)Systems analysis and design

Full Course Overview

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Master of Information Technology (Big Data and Analytics)

About This Course

Available Locations

Entry Requirements

Where this takes you

Accreditation & Migration

Units of Competency

Frequently Asked Questions

How to Apply

Hear From the Students