{ "availability": true, "data": { "awardTitle": "Graduate Diploma in Data Science", "advertisedTitle": "Graduate Diploma in Data Science", "totalCreditPoints": 120, "offerYear": 2027, "studentType": "Domestic", "locationDisplayName": "Online", "deliveryModeCode": "OL", "deliveryModeDescription": "Online", "cricosCourseCode": "", "isFlexibleLocation": false, "majors": [], "specialisations": [], "virtualRollover": { "enabled": true, "instance": true, "indicativeFees": true, "startDates": true }, "relatedCourses": { "nestedCourses": {"60":["Graduate Certificate in Data Science Fundamentals"]} }, "startDates": "LTU Term 2 (March 2027), LTU Term 3 (May 2027), LTU Term 4 (July 2027), LTU Term 5 (September 2027)", "duration": "1 year full-time or part-time equivalent", "prerequisite": "", "courseDescription": "<div>We&#39;ve carefully designed our Graduate Diploma of Data Science to give you a solid foundation in computer science, statistics and applied data analysis. You'll learn using real data sets from our industry partners, so you can be sure you're learning up-to-date skills. <\/div><div> <\/div><div>You&#39;ll get practical experience with open-source software and platforms, including Python, R, and Hadoop. <\/div><div> <\/div><div>You'll learn: <\/div><ul><li><strong>Database fundamentals<\/strong><ul><li>Delve into how databases function across both hardware and software systems. Learn how data storage and retrieval, communications, networking, security and information systems are critical to our everyday lives. <\/li><\/ul><\/li><li><strong>Programming languages<\/strong><ul><li>Learn how to design and implement software solutions using a range of popular programming languages such as Java and Python, and cloud-based services offered by Amazon, Google, IBM and Microsoft. <\/li><\/ul><\/li><li><strong>Mathematics and statistics to solve data science problems<\/strong><ul><li>Complex data analysis develop your evaluation and numeracy skills through interactive learning that covers data gathering, turning data into information, probability, and how to use data to drive critical business decisions.<\/li><\/ul><\/li><li><strong>Complex data analysis<\/strong> <ul><li>Develop your ability to interpret and analyse data through interactive learning that covers data gathering, turning data into information, and how to use data to drive critical business decisions. <\/li><\/ul><\/li><\/ul><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": "<p><span>Successful completion of an Australian bachelor degree (or equivalent).<\/span><\/p>", "academicEntReq": "", "essentialRequirementsInherent": "", "engReq": "", "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 Data Science, 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>75 credit points<\/b> from Core<\/li> <li><b>30 credit points<\/b> from chosen Electives<\/li> <li><b>15 credit points<\/b> from chosen 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\/CSE5DEV\" target=\"_blank\">DATA EXPLORATION AND ANALYSIS<\/a><\/td> <td> CSE5DEV<\/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\/MAT4MDS\" target=\"_blank\">MATHEMATICS FOR DATA SCIENCE<\/a><\/td> <td> MAT4MDS<\/td> <td> 1<\/td> <td> 15<\/td><\/tr><tr> <td><a href=\"https:\/\/handbook.latrobe.edu.au\/subjects\/2026\/STM4PSD\" target=\"_blank\">PROBABILITY AND STATISTICS FOR DATA SCIENCE<\/a><\/td> <td> STM4PSD<\/td> <td> 1<\/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\/SGDSO\" target='_blank'>La Trobe University Handbook<\/a> for the subjects available. <\/p> <\/div> <\/div> <\/div><\/div><\/section>", "workBasedLearning": "", "handbookLinkHtml": "<a href=\"https:\/\/handbook.latrobe.edu.au\/courses\/2026\/SGDSO\" target='_blank'>Online<\/a>", "intendedLearningOutcomes": "<ul><li>Evaluate, communicate and interpret information and results of advanced analysis in the field of data science to expert and lay audiences<\/li><li>Critically analyse and solve complex problems in data science by using expert judgement, advanced knowledge and multi-disciplinary approaches<\/li><li>Use advanced computing techniques and mathematical and statistical approaches to solve complex scientific problems in the field of data science<\/li><li>Use a broad range of established and emerging data collection and analysis technologies and methodologies related to specialisations<\/li><\/ul>", "careerOpportunities": "<p>With organisations seeking to understand the massive amounts of data now at their disposal, the need for data professionals is at an all-time high. As a graduate, you can expect to find work as a:<\/p><ul><li><strong>Data scientist<\/strong><ul><li>Understand complex data and leverage it to the advantage of businesses and organisations.<\/li><\/ul><\/li><li><strong>Business analyst<\/strong><ul><li>Understand how businesses run and use data to solve problems and improve processes.<\/li><\/ul><\/li><li><strong>Health analyst<\/strong><ul><li>Gather, analyse and verify healthcare information.<\/li><\/ul><\/li><li><strong>Bioinformatician<\/strong><ul><li>Develop methods of research and analysis for understanding and leveraging biological and genomic data.<\/li><\/ul><\/li><li><strong>Machine learning engineer<\/strong><ul><li>Use your detailed understanding of machine learning, big data, cloud technology and mathematics to create effective machine learning solutions.<\/li><\/ul><\/li><li><strong>Business intelligence analyst<\/strong><ul><li>Design, script and build business intelligence solutions to inform how businesses operate.<\/li><\/ul><\/li><\/ul>", "professionalRecognition": "", "fees": { "overview": "$34,800 per 120 credit points. <br>Note: 120 credit points represents full-time study for one year.", "showFeeLegislationMsg": false, "amountDescription": "$34,800 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:\/\/onlinecourses.latrobe.edu.au\/request-information\/", "text": "Enquire now" }, "secondaryCta": { "link": "#contact-us", "text": "Contact us" }, "overwriteHeadline": "<h2>Build foundations in data science<\/h2>\r\n<h3 style=\"color: black;\">Applications open in August<\/h3>\r\n<ul><li>Gain a solid foundation in computer science, statistics and applied data analysis.<\/li><li>Explore&nbsp;&nbsp;data gathering, turning data into information, probability, and how to use data to drive critical business decisions.<\/li><li>Learn up-to-date skills using real data sets from our industry partners.<\/li><li>Get practical experience with open-source software and platforms, including Python, R, and Hadoop.<\/li><\/ul><p>For more information or to check your eligibility, call our team of Student Enrolment Advisors on (+61 3) 9917 3009.<\/p>\r\n", "headline": "<p class=\"h2\">Applications open in August<\/p>", "subheadline": "<p>Choose your path to success. Study your way. Build the skills employers are looking for. Contact us to discuss your options.<\/p>", "contactCallBtn": { "show": true, "link": "tel:+61399173009", "text": "Call (+61 3) 9917 3009" }, "contactConsultBtn": { "show": false, "link": "https:\/\/consultation.latrobe.edu.au", "text": "Book a 1:1 consultation" }, "contactChatBtn": { "show": false, "link": "https://www.latrobe.edu.au/contact/chat", "text": "Live chat" }, "contactAskBtn": { "show": true, "link": "https:\/\/onlinecourses.latrobe.edu.au\/request-information\/", "text": "Enquire now" }, "howToApplyVtacStatusText": "Apply through VTAC", "howToApplyUacStatusText": "Apply through UAC" }, "atarPeriod": "based on the January 2026 ATAR profile", "feeAdditionalDescription": "" } }