Master of Data Analytics CRICOS: 111335J 

PROGRAM OVERVIEW

This course will provide students with the theories and methods to apply knowledge to analyse, forecast, visualize and make decisions about data.  You will develop your skills as information professionals in data mining techniques and applications, strategic thinking, project management and problem solving.

DURATION

2 years full-time or 4 years part-time

International students are required to maintain a full-time study load on campus basis

DELIVERY SITE

On campus (Eveleigh NSW 2015)

APPLICATION DATE

Refer to key dates

ENTRY REQUIREMENTS

• An Australian bachelor's degree (or equivalent qualification, including an overseas qualification); 
• Completion of a Graduate Certificate in a relevant field of study (which must include at least one study of mathematics, statistics, or quantitative analysis), or
• Completion of IMC's Postgraduate Preparation Program
• Graduate Diploma in Data Analytics or a Graduate Diploma in a relevant field

Find out if your overseas qualification is recognised and meets the Entry Requirements.

ENGLISH LANGUAGE REQUIREMENTS

Please refer to English Language Requirements

CREDIT ARRANGEMENT

Recognition of Prior Learning (RPL) is available and will be assessed in accordance with IMC's RPL policy and procedure. Please refer to the Application for Recognition of Prior Learning and the RPL policy and procedure for further details.

COURSE STRUCTURE

This course contains 16 core subjects.

Year 1

• DAC702 Introduction to Database 
• DAC700 Applied statistics  
• DAC600 Computer information systems
• DAD802 Technology, society and ethics 

Exit with a Graduate Certificate in Data Analytics  

• DAC604 Coding for Data Analytics 
• DAC602 System Analysis and Design 
• DAC601 Computer system and networking
• DAS704 Security of data and systems 

Exit with a Graduate Diploma of Data Analytics 

Year 2 

• DAC701 Data analytics and programming 
• DAS705 Project management in information technology 
• DAS707 Research methodology
• DAC703 Machine Learning 
• DAS706 Big data mining, wrangling and analytics
• DAD805 Complex data projects
• DAD808 Complex data security
• DAD803 Capstone project 

Exit with a Master of Data Analytics 

 

Please note: The availability of units may be slightly different across campuses.

ASSESSMENT METHODS

Assessment methods are designed to encourage learning, provide feedback and measure achievement of unit learning outcomes. Forms of assessment vary among units and include research reports, projects, essays, group work, presentations, problem solving and case studies as well as tests, quizzes and examinations. Students may be required to complete assessment tasks alone or in groups to encourage development of generic skills. Assessments generally require a written submission but may include an oral presentation. In capstone units, assessments may include industry engagement and an extensive report.

PATHWAY TO EMPLOYMENT / FURTHER STUDY 

Career options include Data Analyst, Data analyst specialist, Data Systems developer, Data-driven decision maker.