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 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 in accounting and related fields. Term 1 Core Units DAC702 Introduction to Database DAC700 Applied statistics Term 2 Core Units DAC604 Coding for Data Analytics DAC600 Computer information systems* DAC802 Technology, society and ethics Exit with a Graduate Certificate in Data Analytics. To graduate with a Certificate in Data Analytics, you are required to complete DAC702, DAC700, DAC604 plus one elective unit from either DAC600 or DAD802. Term 3 Core Units DAC602 System Analysis and Design DAC601 Computer System and Networking DAS704 Security of Data Systems Exit with a Graduate Diploma of Analytics Year 2 Term 1 Core Units DAC701 Data Analytics and Programming DAS705 Project management in information technology DAS707 Research Methodology Term 2 Core Units DAC703 Machine Learning DAS706 Big Data mining, wrangling and analytics DAD805 Complex data projects Term 3 Core Units DAD808 Complex data security DAD803 Capstone project Exit with a Master of Data Analytics *Prerequisite/Co-requisite Requirements 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. Register Your Interest