{ "availability": true, "data": { "awardTitle": "Graduate Diploma in Sport Analytics", "advertisedTitle": "Graduate Diploma in Sport Analytics", "totalCreditPoints": 120, "offerYear": 2027, "studentType": "International", "locationDisplayName": "Melbourne", "deliveryModeCode": "MM", "deliveryModeDescription": "Multi-Modal", "cricosCourseCode": "094173A", "isFlexibleLocation": false, "majors": [], "specialisations": [], "virtualRollover": { "enabled": true, "instance": true, "indicativeFees": true, "startDates": true }, "relatedCourses": { "nestedCourses": {"60":["Graduate Certificate in Sport Analytics"]} }, "startDates": "LTU Term 1 (January 2027)", "duration": "1 year full-time", "prerequisite": "", "courseDescription": "<p>La Trobe&#39;s Graduate Diploma in Sport Analytics is a formal qualification with hands-on experience with real sport datasets, and in-demand technical training in programming, databases, machine learning, and statistical analysis\u2014 all delivered flexibly with a mix of online and on-campus study suited to working professionals.<\/p><p>Learn how to use data to boost athlete performance and wellbeing. You&#39;ll get hands-on experience with industry-standard technologies and cutting-edge sport analytics technology like Catapult GPS and LPS, Hudl SportsCode and IMeasureU (Inertial measurement units).<\/p><p>The course aims to prepare you for roles in the field of sport analytics or for currently employed sport and exercise professionals looking to advance into higher roles through a formal education and qualification in sports analytics. You&#39;ll graduate with a direct pathway into the Master of Sport Analytics or ready to use your new data analytics skills in the sport industry you&#39;re passionate about.<\/p><p>By studying La Trobe&#39;s Graduate Diploma in Sport Analytics, you&#39;ll learn:<\/p><ul><li>Sport analytics in practice<\/li><li><ul><li>Learn about contemporary technology applications, and apply theoretical understanding of analytics processes and methodologies to authentic sport-related data sets.<\/li><\/ul><\/li><li>Advanced analytics<\/li><li><ul><li>Develop enhanced skills in data warehousing, and analytical skills including coding (R and Python), machine learning and statistical modelling.<\/li><\/ul><\/li><li>Analytical methods in sport<\/li><li><ul><li>Learn how to perform various data handling techniques, statistical tests and explore data visualisation techniques within a sport and exercise science context.<\/li><\/ul><\/li><li>Database management<\/li><li><ul><li>Gain an overview of the architecture and management of database systems and explore programming foundations to design and create software solution.<\/li><\/ul><\/li><\/ul><p> <\/p><p> <\/p><p class=\"footnote\">The qualification awarded on graduation is recognised in the Australian Qualifications Framework (AQF) as Level 8 - Graduate Diploma.<\/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": "", "academicEntReq": "<ul><li><p>Successful completion of an Australian bachelor degree (or equivalent) with specialisation in Sport and\/or business and\/or STEM as determined by the Course Coordinator.<\/p><p>or<\/p><p>Relevant work experience (at least 2 years) in Sport and\/or business and\/or STEM as determined by Course Coordinator.<\/p><\/li><\/ul>", "essentialRequirementsInherent": "<div class=\"ds-block\"><div class=\"ds-accordion\"> <h4> <button id=\"check-core-participation-req-0\" class=\"ds-accordion__trigger\" aria-expanded=\"false\" aria-controls=\"core-participation-req-0\"> <span class=\"ds-accordion__title\">Behavioural and relational skills<\/span> <\/button> <\/h4> <div id=\"core-participation-req-0\" class=\"ds-accordion__content\" role=\"region\" aria-labelledby=\"check-core-participation-req-0\"><p>Students must demonstrate appropriate behavioural and interpersonal communication skills that will allow them to manage learning environments given varied teaching methods and diverse staff and student backgrounds and perspectives. <\/p><\/div><\/div><div class=\"ds-accordion\"> <h4> <button id=\"check-core-participation-req-1\" class=\"ds-accordion__trigger\" aria-expanded=\"false\" aria-controls=\"core-participation-req-1\"> <span class=\"ds-accordion__title\">Cognition<\/span> <\/button> <\/h4> <div id=\"core-participation-req-1\" class=\"ds-accordion__content\" role=\"region\" aria-labelledby=\"check-core-participation-req-1\"><p>Students must be able to follow instruction, seek out and use retained knowledge to make appropriate decisions and actions as they progress through their course. They must be able to sustain their attention during practical learning activities and to complete complex assessment tasks. <\/p><\/div><\/div><div class=\"ds-accordion\"> <h4> <button id=\"check-core-participation-req-2\" class=\"ds-accordion__trigger\" aria-expanded=\"false\" aria-controls=\"core-participation-req-2\"> <span class=\"ds-accordion__title\">Sensory (visual, auditory, tactile, olfaction)<\/span> <\/button> <\/h4> <div id=\"core-participation-req-2\" class=\"ds-accordion__content\" role=\"region\" aria-labelledby=\"check-core-participation-req-2\"><p>Students must be able to manipulate, analyse, visualise and present data for interpretation and communication. <\/p><\/div><\/div><div class=\"ds-accordion\"> <h4> <button id=\"check-core-participation-req-3\" class=\"ds-accordion__trigger\" aria-expanded=\"false\" aria-controls=\"core-participation-req-3\"> <span class=\"ds-accordion__title\">Strength and mobility<\/span> <\/button> <\/h4> <div id=\"core-participation-req-3\" class=\"ds-accordion__content\" role=\"region\" aria-labelledby=\"check-core-participation-req-3\"><p>Students must be able manage computer hardware and software. <\/p><\/div><\/div><\/div>", "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 Graduate Diploma in Sport Analytics, students must complete a total of 120 credit points across 1 year.<\/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><\/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>120 credit points<\/b> from Core<\/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\/SPE5ASA\" target=\"_blank\">ADVANCED SPORT ANALYTICS<\/a><\/td> <td> SPE5ASA<\/td> <td> 1<\/td> <td> 15<\/td><\/tr><tr> <td><a href=\"https:\/\/handbook.latrobe.edu.au\/subjects\/2026\/SPE5AMS\" target=\"_blank\">ANALYTICAL METHODS IN SPORT<\/a><\/td> <td> SPE5AMS<\/td> <td> 1<\/td> <td> 15<\/td><\/tr><tr> <td><a href=\"https:\/\/handbook.latrobe.edu.au\/subjects\/2026\/CSE4DBF\" target=\"_blank\">DATABASE FUNDAMENTALS<\/a><\/td> <td> CSE4DBF<\/td> <td> 1<\/td> <td> 15<\/td><\/tr><tr> <td><a href=\"https:\/\/handbook.latrobe.edu.au\/subjects\/2026\/CSE4IP\" target=\"_blank\">INTRODUCTION TO PROGRAMMING<\/a><\/td> <td> CSE4IP<\/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\/SPE5PSA\" target=\"_blank\">PRINCIPLES OF SPORT ANALYTICS<\/a><\/td> <td> SPE5PSA<\/td> <td> 1<\/td> <td> 15<\/td><\/tr><tr> <td><a href=\"https:\/\/handbook.latrobe.edu.au\/subjects\/2026\/SPE5SAP\" target=\"_blank\">SPORT ANALYTICS IN PRACTICE<\/a><\/td> <td> SPE5SAP<\/td> <td> 1<\/td> <td> 15<\/td><\/tr><tr> <td><a href=\"https:\/\/handbook.latrobe.edu.au\/subjects\/2026\/SPE5SDC\" target=\"_blank\">SPORT DATA CAPTURE<\/a><\/td> <td> SPE5SDC<\/td> <td> 1<\/td> <td> 15<\/td><\/tr> <\/tbody><\/table><\/div><\/div><\/div><\/div><\/section>", "workBasedLearning": "", "handbookLinkHtml": "<a href=\"https:\/\/handbook.latrobe.edu.au\/courses\/2026\/HGSA\" target='_blank'>Melbourne<\/a>", "intendedLearningOutcomes": "<ul><li>Review, analyse, consolidate and synthesise knowledge and apply skills autonomously or in a team to a range of sport analytics problems and performance analysis settings.<\/li><li>Critically appraise data collection technology to make informed decisions and evaluate complex ideas.<\/li><li>Evaluate own knowledge and analysis skills to plan and implement appropriate continuing development activities.<\/li><li>Communicate knowledge and ideas to diverse stakeholders using a range of communication strategies and visual analytic tools.<\/li><\/ul>", "careerOpportunities": "<p>The rise of innovative technologies and the growing need for insights and performance evaluation have created significant opportunities for sport analysts and data scientists. Numerous sectors, including sports technology companies, gaming enterprises, and sports organisations, are on the lookout for professionals with expertise in sport analysis and data science.<\/p><p>Possible roles include:<\/p><ul><li>Sport Analyst<\/li><li><ul><li>Provide insights and advice about various sports data to inform decision making<\/li><\/ul><\/li><li>Game Analyst<\/li><li><ul><li>Analyse data from games including playing patterns and problems and present information to inform improvements<\/li><\/ul><\/li><li>Data Analyst<\/li><li><ul><li>Collect, process, clean and analyse data from various sources to produce reports and insights<\/li><\/ul><\/li><li>Data Scientist<\/li><li><ul><li>Use statistical tools and methods, machine learning, and programming skills to extract and interpret data<\/li><\/ul><\/li><\/ul><p>This course also serves as a direct pathway into the Master of Sport Analytics, offering a structured route for further professional and academic advancement<\/p>", "professionalRecognition": "", "fees": { "overview": "A$42 200 per 120 credit points. <br>Note: 120 credit points represents full-time study for one year.", "showFeeLegislationMsg": false, "amountDescription": "A$42 200 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>Bridge the gap between data and sport<\/h2>\r\n<h3 style=\"color: black;\">Applications now open<\/h3>\r\n<ul><li>Balance work and study with a mix of online and on-campus study.<\/li><li>Gain hands-on experience with real sport datasets, and technical training in programming, databases, machine learning, and statistical analysis.<\/li><li>Learn how to use data to boost athlete performance and wellbeing with industry-standard technologies and cutting-edge sport analytics technology.<\/li><li>Graduate ready to use your new data analytics skills in the sports industry or as a pathway into La Trobe's Master of Sport Analytics.<\/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\/support-and-help\/question", "text": "Ask a question" }, "howToApplyVtacStatusText": "Apply through VTAC", "howToApplyUacStatusText": "Apply through UAC" }, "atarPeriod": "", "feeAdditionalDescription": "" } }