{ "availability": true, "data": { "awardTitle": "Master of Data Science", "advertisedTitle": "Master of Data Science (Accelerated)", "totalCreditPoints": 180, "offerYear": 2026, "studentType": "Domestic", "locationDisplayName": "Melbourne", "deliveryModeCode": "MM", "deliveryModeDescription": "Multi-Modal", "cricosCourseCode": "", "isFlexibleLocation": false, "majors": [], "specialisations": [{"name":"Artificial intelligence analytics","code":"SPE-AIA01","description":"","streams":[]},{"name":"Big data and cloud computing","code":"SPE-BDC01","description":"

Transform commercial enterprise with the power of big data. Businesses are teeming with underutilised datasets that hold the key to their future success.<\/p>\n

You'll learn how to use cloud tools and analytics to identify, extract, visualise and communicate insights to drive better decision making and enhance collaboration. Examine topics like cloud architecture, data analysis, database systems, virtualisation and business intelligence. Then, apply this expertise in our state-of-the-art, on-campus CISCO labs, available to you 24\/7.<\/p>","streams":[]},{"name":"Bioinformatics","code":"SPE-BII01","description":"","streams":[]},{"name":"Business applications","code":"SPE-BIA01","description":"

Use data-driven approaches and modern data science tools to solve real-world business problems.<\/p>\n

In this specialisation, you'll develop core technical skills in data mining, business analytics, spatial analysis and predictive modelling, then learn how to apply these advanced technical skills and modern methodologies to business contexts. You'll graduate with relevant, in-demand technical skills as well as an understanding of business processes and applications. Graduate ready to take your data science skills into business, marketing and financial analysis and prediction.<\/p>","streams":[]},{"name":"Data modelling and analytics","code":"SPE-DMA01","description":"","streams":[]},{"name":"Mathematical data science","code":"SPE-MDS01","description":"","streams":[]},{"name":"Sport analytics","code":"SPE-SPT01","description":"","streams":[]}], "virtualRollover": { "enabled": false, "instance": false, "indicativeFees": false, "startDates": false }, "relatedCourses": { "nestedCourses": null }, "startDates": "Semester 2 (July 2026)", "duration": "1.5 years full-time or part-time equivalent", "prerequisite": "", "courseDescription": "

The Accelerated Master of Data Science at La Trobe University develops your skills in data science, data modelling, statistical analysis and machine learning to analyse complex datasets and support evidence-based decision-making.<\/p>

This accelerated course is designed for students who have completed a cognate degree in artificial intelligence, data science or information technology. Eligible cognate students will receive advanced standing for selected subjects, enabling you to complete the degree in 1.5 years. For the 2-year degree, visit Master of Data Science<\/a>.<\/p>

You will study data exploration and analysis using tools such as the R programming language. You will build skills in data cleaning, data normalisation and data visualisation. You will specialise in one of the following areas: artificial intelligence and analytics, big data and cloud computing, bioinformatics, business applications, data modelling and analytics, mathematical data science or sport analytics.<\/p>

In your second year, you will align your studies with your professional goals through a specialisation stream. You will complete a work-based placement, industry development project, artificial intelligence research project or industry-based thesis.<\/p>

By studying the Accelerated Master of Data Science, you will learn how
to:<\/p>