{ "availability": true, "data": { "awardTitle": "Master of Data Science", "advertisedTitle": "Master of Data Science", "totalCreditPoints": 240, "offerYear": 2026, "studentType": "International", "locationDisplayName": "Melbourne", "deliveryModeCode": "MM", "deliveryModeDescription": "Multi-Modal", "cricosCourseCode": "092396B", "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": {"60":["Graduate Certificate in Data Science Fundamentals"],"120":["Graduate Diploma in Data Science"]} }, "startDates": "Semester 1 (March 2026), Semester 2 (July 2026), Summer (November 2026)", "duration": "2 years full-time", "prerequisite": "", "courseDescription": "

Data science professionals are in high demand in today's data-driven world. Whether you're already working in data science, or you're ready to make a career change, our Master of Data Science prepares you for a successful career in this exciting field.<\/p>

Designed in collaboration with our industry partners, this degree gives you the knowledge, skills and hands-on experience to transition from university to the workplace. And with two early exit points along the way, you can be sure that every subject is contributing to your career.<\/p>

You'll build fundamental skills in programming, databases, probability, statistics, data exploration and analysis. Got a particular interest in artificial intelligence, bioinformatics or sport analytics? This degree allows you to specialise in these areas and others, such as big data and cloud computing, business applications and data modelling and analytics.<\/p>

As you study, you'll have opportunities to work with our industry partners on real-world projects and take on an industry work placement. If your sights are set on a research career, you can choose to undertake a thesis in computer science or statistics.<\/p>

Every step of the way, our supportive and highly qualified teaching staff will be there to offer ongoing support and advice.<\/p>


You'll learn:<\/p>