Master of Analytics

class="m-0 section-title__container anchorname" id="admissions"> Entry requirements and admissions You need to satisfy all of the following entry requirements to be considered for entry into this degree. Expand all sections Collapse all sections Academic requirements Prerequisites Selection tasks English language requirements Academic requirements A bachelor degree OR At least 10 years of relevant work experience If you wish to have industry or employment experience assessed as part of meeting the entry requirements you will need to provide a detailed CV/resume listing previous positions, dates of employment and position responsibilities; a statement from your employer confirming these details (or contact details of employer so RMIT can seek confirmation); and evidence of any relevant professional development undertaken. Prerequisites There are no prerequisite subjects required for entry into this qualification. Selection tasks A selection task is not required for entry into this qualification. English language requirements You must meet the University's minimum English language requirements to be eligible for a place in this course. You need to satisfy all of the following requirements to be considered for entry into this course. Expand all sections Collapse all sections Academic requirements Prerequisites Selection tasks English language requirements Academic requirements You must have successfully completed: An Australian bachelor degree (or equivalent overseas qualification) in any discipline. You may also be considered if you have at least 10 years of work experience in analytics, statistics, operations research, economics, finance, logistics, marketing, supply chain management, engineering (management), information technologies, information security, computer science or a relevant discipline. Prerequisites There are no prerequisite subjects required for entry into this qualification. Selection tasks A selection task is not required for entry into this qualification. English language requirements To study this course you will need to complete one of the following English proficiency tests: IELTS (Academic): minimum overall band of 6.5 (with no individual band below 6.0) TOEFL (Internet Based Test - IBT) for Australia: minimum overall score of 79 (with minimum of 13 in Reading, 12 in Listening, 18 in Speaking and 21 in Writing) Pearson Test of English (Academic) (PTE (A)): minimum score of 58 (with no communication band less than 50) Cambridge English: Advanced (CAE): minimum of 176 with no less than 169 in any component. Note: RMIT does not accept scores from 'at-home' or 'online' testing. For detailed information on English language requirements and other proficiency tests recognised by RMIT, visit English language requirements and equivalency information . Don't meet the English language test scores? Complete an English Language Pathways (Academic English) Advanced at RMIT University Pathways (RMIT UP). <div

class="m-0 section-title__container anchorname" id="career"> Career Your career as a data analyst With data-driven decisions now a fundamental part of business operations, this degree provides you with the platform to be a business-ready problem solver. Graduates are employed by a variety of scientific, commercial and government enterprises, most commonly as data scientists, statisticians, business analysts, consultants, modellers and researchers. With the increasing availability of data available from sources including smartphones, smartwatches, and the Internet of Things, there will always be analytics opportunities to derive insights. Employment in marketing has grown exponentially over recent years, followed closely by finance, consulting and business intelligence. Expand all sections Professional recognition and accreditation Graduates can apply for membership of these organisations: Statistical Society of Australia Inc. (SSAI) Australian Society for Operations Research (ASOR) American Statistical Association (ASA) Institute for Operations Research and the Management Sciences (INFORMS) Institute of Analytics Professionals of Australia (IAPA) . <div