{ "availability": true, "data": { "awardTitle": "Master of Business Analytics", "advertisedTitle": "Master of Business Analytics", "totalCreditPoints": 240, "offerYear": 2026, "studentType": "International", "locationDisplayName": "Melbourne", "deliveryModeCode": "MM", "deliveryModeDescription": "Multi-Modal", "cricosCourseCode": "087774A", "isFlexibleLocation": false, "majors": [], "specialisations": [], "virtualRollover": { "enabled": false, "instance": false, "indicativeFees": false, "startDates": false }, "relatedCourses": { "nestedCourses": {"30":["Professional Certificate in Business Analytics"],"60":["Graduate Certificate in Business Analytics"],"120":["Graduate Diploma in Business Analytics"]} }, "startDates": "Semester 1 (March 2026), Semester 2 (July 2026), Summer (November 2026)", "duration": "2 years full-time", "prerequisite": "", "courseDescription": "<p>In the Age of Artificial Intelligence (AI), knowledge and skills in organisational data, analytics techniques and AI capabilities are foundational for driving business success, economic growth and development. Codesigned with leading industry experts, the Master of Business Analytics is a specialised postgraduate degree that equips you with the technical, analytical, and business skills necessary to build solutions that address the complexity of data and information in modern businesses.<\/p><p>In this course, disciplinary knowledge in data, analytics and AI are aligned with industry leading tools and technologies to provide a hands-on learning experience of practical skills for solving real-world business problems. The teaching team draw on their own industry and research expertise in building AI and analytics solutions to deliver a future-focused learning experience. They teach in small, interactive classes and use Gen AI teaching tools to ensure the student learning journey is personalised and fully supported.<\/p><p>Build and grow your analytics and AI capabilities through industry placements and business case studies that foster critical thinking, ethical reasoning, strategic communication and leadership. Become a well-balanced technology professional with data, analytics, and AI capabilities that are highly sought after by AI-first organisations of the future.<\/p><p>You will learn:<\/p><ul><li><strong>Data Analytics: <\/strong>professional knowledge and skills to build and use analytics dashboards, predictive models, cloud applications for real-world business problems<\/li><li><strong>Artificial Intelligence: <\/strong>industry-ready skillset in AI to drive productivity, innovation and decision-making across the business ecosystem<\/li><li><strong>Business Innovation:<\/strong> AI, analytics and data-driven innovations in business settings to create value, solve problems, and improve performance<\/li><li><strong>ICT Ethics and Cybersecurity:<\/strong> knowledge of local and international regulatory frameworks and guidelines for addressing enterprise ethics and cybersecurity challenges<\/li><li><strong>Professional ICT Practice: <\/strong>power skills essential for collaboration and teamwork in modern workplaces, including communication, critical thinking, emotional intelligence, and adaptability.<\/li><\/ul><p class=\"footnote\">The qualification awarded on graduation is recognised in the Australian Qualifications Framework (AQF) as Level 9 - Masters Degree.<\/p>", "entryReq": { "rse": { "isEligible": true, "ineligibleMsg": "", "admCriAtarStmt": "", "prerequisite": "", "admCriInAddToAtar": "", "selRankAdj": "", "otherAdmOpts": "" }, "higherEd": { "isEligible": true, "ineligibleMsg": "", "prerequisite": "", "admCri": "" }, "vet": { "isEligible": true, "ineligibleMsg": "", "prerequisite": "", "admCri": "" }, "wle": { "isEligible": true, "ineligibleMsg": "", "prerequisite": "", "admCri": "" }, "prerequisite": "<p><strong>1.5-year full-time or part time equivalent<\/strong><\/p><p>To be considered for admission to this degree (with 60 credit points of admission credit applied) you will need to meet at least one of the following criteria:<\/p><ul><li>completion of an Australian bachelor's degree (or equivalent) or higher qualification in Business Analytics, Data Analytics, Data Science, Computer Science, Information Systems, or Information Technology within the last five years. If the qualification is older, applicants must have a minimum of two years of recent and *relevant work experience.<\/li><\/ul><p><strong><em>*Relevant work experience: <\/em><\/strong><em>Applicants applying based on work experience are required to provide a detailed Resume, outlining their employment history and relevant work experience. Relevant work experience is business experience in a managerial or leadership position with business oversight<\/em><\/p><p><strong>2-year full-time or part time equivalent<\/strong><\/p><p>To be considered for admission to this degree you will need to meet at least one of the following criteria:<\/p><ul><li>completion of an Australian bachelor degree or equivalent in any discipline.<\/li><\/ul><p>OR<\/p><ul><li>completion of the Postgraduate Qualifying Program (PPN001)<\/li><\/ul>", "academicEntReq": "", "essentialRequirementsInherent": "", "engReq": "<p><span>6.5 IELTS (Academic) with no individual band less than 6.0.<\/span><\/p>", "hasEngReqAlt": true }, "vtacCodes": null, "courseStructure": "<section id=\"course-structure\" class=\"sublayout-1\"><div class=\"ds-block\"> <p><b>To qualify for the award of Master of Business Analytics, students must complete a total of 240 credit points across 2 years.<\/b><\/p><\/div><div class=\"ds-block ds-block--full-width course-structure-content\"><div class=\"ds-tabs\"><div class=\"ds-tabs-nav ds-block\" role=\"tablist\"><button class=\"ds-tabs-nav__tab\" role=\"tab\" aria-selected=\"true\" aria-controls=\"tab1\" id=\"tab1trigger\" >Year 1<\/button><button class=\"ds-tabs-nav__tab\" role=\"tab\" aria-selected=\"false\" aria-controls=\"tab2\" id=\"tab2trigger\" >Year 2<\/button><\/div><div class=\"ds-content-chunk\" data-bg-color=\"lightest\"><div id=\"tab1\" class=\"ds-block ds-tab-content__body\" role=\"tabpanel\" aria-labelledby=\"tab1trigger\"> <p class=\"lead\"> Year 1 requires the completion of <b><a class=\"pls-explain\" title=\"A credit point is a unit of measurement to indicate the relative study load of subjects, courses, majors, minors, specialisations and other academic items.<br><br>For example, to be eligible for the award of a standard Bachelor's degree, a student must complete 360 credit points.\">120 credit points<\/a><\/b> including:<\/p> <ul> <li><b>105 credit points<\/b> from Core<\/li> <li><b>15 credit points<\/b> from chosen Prescribed electives<\/li><\/ul><\/div><div id=\"tab2\" class=\"ds-block ds-tab-content__body\" role=\"tabpanel\" aria-labelledby=\"tab2trigger\" hidden=\"hidden\"> <p class=\"lead\"> Year 2 requires the completion of <b><a class=\"pls-explain\" title=\"A credit point is a unit of measurement to indicate the relative study load of subjects, courses, majors, minors, specialisations and other academic items.<br><br>For example, to be eligible for the award of a standard Bachelor's degree, a student must complete 360 credit points.\">120 credit points<\/a><\/b> including:<\/p> <ul> <li><b>105 credit points<\/b> from Core<\/li> <li><b>15 credit points<\/b> from chosen Prescribed electives<\/li><\/ul><\/div><\/div><\/div><\/div><div class=\"ds-block\"><h4>Study options<\/h4><\/div><div class=\"ds-block\"><div class=\"ds-accordion\"> <h5> <button id=\"check-course-struct-1\" class=\"ds-accordion__trigger\" aria-expanded=\"false\" aria-controls=\"course-struct-1\"> <span class=\"ds-accordion__title\"> Core subjects <\/span> <\/button> <\/h5> <div id=\"course-struct-1\" class=\"ds-accordion__content\" role=\"region\" aria-labelledby=\"check-course-struct-1\"> <div class=\"ds-table-wrapper\"> <p> Core subjects are required subjects in your course. You need to complete these subjects to attain your degree. <\/p> <table class=\"ds-table--striped\"> <thead> <tr> <th> Subject name<\/th> <th> Subject code<\/th> <th> Year<\/th> <th> Credit points<\/th> <\/tr> <\/thead> <tbody><tr> <td><a href=\"https:\/\/handbook.latrobe.edu.au\/subjects\/2026\/LTU0AIM\" target=\"_blank\">ACADEMIC INTEGRITY MODULE<\/a><\/td> <td> LTU0AIM<\/td> <td> 1<\/td> <td> 0<\/td><\/tr><tr> <td><a href=\"https:\/\/handbook.latrobe.edu.au\/subjects\/2026\/BUS4005\" target=\"_blank\">ARTIFICIAL INTELLIGENCE FOR BUSINESS<\/a><\/td> <td> BUS4005<\/td> <td> 1<\/td> <td> 15<\/td><\/tr><tr> <td><a href=\"https:\/\/handbook.latrobe.edu.au\/subjects\/2026\/BUS4006\" target=\"_blank\">CYBERSECURITY FOR BUSINESS<\/a><\/td> <td> BUS4006<\/td> <td> 1<\/td> <td> 15<\/td><\/tr><tr> <td><a href=\"https:\/\/handbook.latrobe.edu.au\/subjects\/2026\/BUS5DWR\" target=\"_blank\">DATA WRANGLING<\/a><\/td> <td> BUS5DWR<\/td> <td> 1<\/td> <td> 15<\/td><\/tr><tr> <td><a href=\"https:\/\/handbook.latrobe.edu.au\/subjects\/2026\/BUS5PA\" target=\"_blank\">PREDICTIVE ANALYTICS<\/a><\/td> <td> BUS5PA<\/td> <td> 1<\/td> <td> 15<\/td><\/tr><tr> <td><a href=\"https:\/\/handbook.latrobe.edu.au\/subjects\/2026\/BUS4011\" target=\"_blank\">PRINCIPLES OF BUSINESS ANALYTICS<\/a><\/td> <td> BUS4011<\/td> <td> 1<\/td> <td> 15<\/td><\/tr><tr> <td><a href=\"https:\/\/handbook.latrobe.edu.au\/subjects\/2026\/BUS4012\" target=\"_blank\">VIBE CODING FOR STARTUPS<\/a><\/td> <td> BUS4012<\/td> <td> 1<\/td> <td> 15<\/td><\/tr><tr> <td><a href=\"https:\/\/handbook.latrobe.edu.au\/subjects\/2026\/BUS5VA\" target=\"_blank\">VISUAL ANALYTICS<\/a><\/td> <td> BUS5VA<\/td> <td> 1<\/td> <td> 15<\/td><\/tr><tr> <td><a href=\"https:\/\/handbook.latrobe.edu.au\/subjects\/2026\/BUS5AP\" target=\"_blank\">ANALYTICS AND AI IN INDUSTRY<\/a><\/td> <td> BUS5AP<\/td> <td> 2<\/td> <td> 15<\/td><\/tr><tr> <td><a href=\"https:\/\/handbook.latrobe.edu.au\/subjects\/2026\/BUS5PR1\" target=\"_blank\">ARTIFICIAL INTELLIGENCE AND HYPERAUTOMATION<\/a><\/td> <td> BUS5PR1<\/td> <td> 2<\/td> <td> 15<\/td><\/tr><tr> <td><a href=\"https:\/\/handbook.latrobe.edu.au\/subjects\/2026\/BUS5001\" target=\"_blank\">CLOUD PLATFORMS AND ANALYTICS<\/a><\/td> <td> BUS5001<\/td> <td> 2<\/td> <td> 15<\/td><\/tr><tr> <td><a href=\"https:\/\/handbook.latrobe.edu.au\/subjects\/2026\/BUS5WB\" target=\"_blank\">DATA WAREHOUSING AND BIG DATA ANALYTICS<\/a><\/td> <td> BUS5WB<\/td> <td> 2<\/td> <td> 15<\/td><\/tr><tr> <td><a href=\"https:\/\/handbook.latrobe.edu.au\/subjects\/2026\/BUS5MIP\" target=\"_blank\">MANAGING IT PROJECTS<\/a><\/td> <td> BUS5MIP<\/td> <td> 2<\/td> <td> 15<\/td><\/tr><tr> <td><a href=\"https:\/\/handbook.latrobe.edu.au\/subjects\/2026\/BUS5003\" target=\"_blank\">OPERATIONALISING BUSINESS ANALYTICS<\/a><\/td> <td> BUS5003<\/td> <td> 2<\/td> <td> 15<\/td><\/tr><tr> <td><a href=\"https:\/\/handbook.latrobe.edu.au\/subjects\/2026\/BUS5019\" target=\"_blank\">RESPONSIBLE AI FOR SUSTAINABILITY<\/a><\/td> <td> BUS5019<\/td> <td> 2<\/td> <td> 15<\/td><\/tr> <\/tbody><\/table><\/div><\/div><\/div> <div class=\"ds-accordion\"> <h5> <button id=\"check-course-struct-7\" class=\"ds-accordion__trigger\" aria-expanded=\"false\" aria-controls=\"course-struct-7\"> <span class=\"ds-accordion__title\"> Elective subjects <\/span> <\/button> <\/h5> <div id=\"course-struct-7\" class=\"ds-accordion__content\" role=\"region\" aria-labelledby=\"check-course-struct-7\"> <div class=\"ds-table-wrapper\"> <p> A range of standalone elective subjects is available in this course. Some electives are recommended for your course, but you may also be able to choose from a range of University-wide electives or electives from other interest areas or disciplines. Note these electives may have their own prerequisites and other requirements. Please refer to the <a href=\"https:\/\/handbook.latrobe.edu.au\/courses\/2026\/BM014\" target='_blank'>La Trobe University Handbook<\/a> for the subjects available. <\/p> <\/div> <\/div> <\/div><div class=\"ds-accordion\"> <h5> <button id=\"check-course-struct-11\" class=\"ds-accordion__trigger\" aria-expanded=\"false\" aria-controls=\"course-struct-11\"> <span class=\"ds-accordion__title\"> Prescribed elective subjects <\/span> <\/button> <\/h5> <div id=\"course-struct-11\" class=\"ds-accordion__content\" role=\"region\" aria-labelledby=\"check-course-struct-11\"> <div class=\"ds-table-wrapper\"> <p> A prescribed elective is an elective tied to your discipline, course, major or activity. You\u2019ll choose your electives from a curated list of subjects, enabling you to tailor your studies while staying aligned with your course goals. <\/p> <table class=\"ds-table--striped\"> <thead> <tr> <th>Subject name<\/th> <th>Subject code<\/th> <th>Year<\/th> <th>Credit points<\/th> <\/tr> <\/thead> <tbody><tr> <td><a href=\"https:\/\/handbook.latrobe.edu.au\/subjects\/2026\/BUS5020\" target=\"_blank\">DIGITAL STRATEGY<\/a><\/td> <td> BUS5020<\/td> <td> 1<\/td> <td> 15<\/td><\/tr><tr> <td><a href=\"https:\/\/handbook.latrobe.edu.au\/subjects\/2026\/MGT5009\" target=\"_blank\">MANAGEMENT OF SERVICE SUPPLY CHAIN AND OPERATIONS<\/a><\/td> <td> MGT5009<\/td> <td> 1<\/td> <td> 15<\/td><\/tr><tr> <td><a href=\"https:\/\/handbook.latrobe.edu.au\/subjects\/2026\/MGT4006\" target=\"_blank\">ORGANISATIONAL BEHAVIOUR AND MANAGEMENT PRACTICE<\/a><\/td> <td> MGT4006<\/td> <td> 1<\/td> <td> 15<\/td><\/tr><tr> <td><a href=\"https:\/\/handbook.latrobe.edu.au\/subjects\/2026\/MGT5010\" target=\"_blank\">ANALYTICS FOR SUPPLY CHAIN AND LOGISTICS<\/a><\/td> <td> MGT5010<\/td> <td> 2<\/td> <td> 15<\/td><\/tr><tr> <td><a href=\"https:\/\/handbook.latrobe.edu.au\/subjects\/2026\/MGT5EBP\" target=\"_blank\">ENTREPRENEURIAL BUSINESS PLANNING<\/a><\/td> <td> MGT5EBP<\/td> <td> 2<\/td> <td> 15<\/td><\/tr><tr> <td><a href=\"https:\/\/handbook.latrobe.edu.au\/subjects\/2026\/LTU5IND\" target=\"_blank\">INDUSTRY PLACEMENT<\/a><\/td> <td> LTU5IND<\/td> <td> 2<\/td> <td> 15<\/td><\/tr> <\/tbody><\/table><\/div><\/div><\/div><\/div><\/section>", "workBasedLearning": "<p>During this course, you will have the opportunity to participate in a Work Based Learning (WBL) placement experience, designed to allow you to extend your formal academic learning beyond the classroom. The WBL experience will provide the opportunity to bring your learning from the university into a work environment and test out your knowledge in a professional real-world environment. Placements are expected to be self-sourced by students and be related to their studies. Subject to approval from the University, placements can be undertaken within an organisation, remotely, or as a virtual experience.<\/p>", "handbookLinkHtml": "<a href=\"https:\/\/handbook.latrobe.edu.au\/courses\/2026\/BM014\" target='_blank'>Melbourne<\/a>", "intendedLearningOutcomes": "<ul><li>Critically evaluate business objectives, ethical and sustainability considerations, stakeholder roles, and project management strategies to guide analytics and AI initiatives.<\/li><li>Analyse and interpret business datasets by applying data transformations, management, visualisation, security and privacy practices to develop responsible AI and analytics solutions.<\/li><li>Apply and evaluate analytics techniques, AI models and algorithms, and cloud technologies for solving business problems, with attention to business value, return on investment, data privacy and cybersecurity.<\/li><li>Develop and communicate analytics strategies, actionable insights and AI-driven decision-making, to diverse stakeholders across organisational settings.<\/li><li>Construct and evaluate responsible AI and analytics solutions that integrate analytical, technical, and problem-solving skills with business competencies and ethical guidelines to address complex business problems.<\/li><\/ul>", "careerOpportunities": "<p>The need for analytics professionals is at an all-time high. Organisations of all sizes are seeking to understand the massive amounts of data now at their disposal. After graduation, you could work across a wide range of sectors in roles such as:<\/p><ul><li><strong>Data Analyst<\/strong><ul><li>Leverage advanced analytics, artificial intelligence, data modelling, and visualisation to extract insights from complex data and support informed decision-making. Build effective data models and create clear, impactful visuals to communicate findings and drive business value.<\/li><\/ul><\/li><li><strong>Business Analyst<\/strong><ul><li>Analyse business contexts to identify problems and opportunities, using data-driven methods to inform decisions and optimise processes.<\/li><\/ul><\/li><li><strong>Report Analyst<\/strong><ul><li>Use and apply data analytics tools and platforms to generate management and operational reports, actionable insights and inform executive decision-making.<\/li><\/ul><\/li><li><strong>Data Engineer<\/strong><ul><li>Design and maintain scalable, cloud-based data infrastructure, including data warehouses and pipelines, to enable secure, reliable, and efficient access to analytics-ready data across the organisation.<\/li><\/ul><\/li><li><strong>Gen AI Specialist<\/strong><ul><li>Adopt and apply prompting techniques, generative AI models, and AI-assisted coding to develop business solutions and optimise business efficiencies.<\/li><\/ul><\/li><li><strong>Analytics and AI Consultant<\/strong><br \/><ul><li>Design and evaluate AI-enabled business solutions with a focus on cybersecurity and ethics.<\/li><\/ul><\/li><\/ul>", "professionalRecognition": "<p>Graduates of the Master of Business Analytics may apply for membership with the Institute of Analytics Professionals of Australia (IAPA). Membership may be subject to additional or ongoing requirements beyond completion of the degree. Please contact the relevant professional body for details.<\/p>", "fees": { "overview": "A$43 800 per 120 credit points. <br>Note: 120 credit points represents full-time study for one year.", "showFeeLegislationMsg": false, "amountDescription": "A$43 800 per 120 credit points. <br>Note: 120 credit points represents full-time study for one year.", "essentialRequirementsSelection": "", "eligibleForCspLoan": false, "eligibleForErpLoan": false } }, "content": { "atarDistributionReport": null }, "softContent": { "contactCta": { "primaryCta": { "link": "https:\/\/student-latrobe.studylink.com", "text": "Apply now" }, "secondaryCta": { "link": "https:\/\/consultation.latrobe.edu.au\/s\/home-international", "text": "Book a 1:1 consultation" }, "overwriteHeadline": "<h2>Transform business with data-led insights<\/h2>\r\n<h3 style=\"color: black;\">Applications now open<\/h3>\r\n<ul><li>Gain advanced skills in business, programming and data engineering.<\/li><li>You'll have the opportunity to go on work placements with industry partners, including SAS, Microsoft and PwC.<\/li><li>The La Trobe Business School is accredited by the Association to Advance Collegiate Schools of Business (AACSB).<\/li><li>Become a balanced technology professional with data, analytics and AI capabilities, sought after by AI-first organisations of the future.<\/li><\/ul>\r\n", "headline": "<p class=\"h2\">Applications now open<\/p>", "subheadline": "<p>There's never been a better time to build new skills and follow your passion. Apply now to secure your place at La Trobe.<\/p>", "contactCallBtn": { "show": true, "link": "tel:+61394791993", "text": "Call (+61 3) 9479 1993" }, "contactConsultBtn": { "show": true, "link": "https:\/\/consultation.latrobe.edu.au\/s\/home-international", "text": "Book a one-on-one" }, "contactChatBtn": { "show": true, "link": "https://www.latrobe.edu.au/contact/chat", "text": "Live chat" }, "contactAskBtn": { "show": true, "link": "https:\/\/www.latrobe.edu.au\/international\/international\/ask-a-question", "text": "Ask a question" }, "howToApplyVtacStatusText": "Apply through VTAC", "howToApplyUacStatusText": "Apply through UAC" }, "atarPeriod": "", "feeAdditionalDescription": "" } }