MASTERS BY COURSEWORK
Master of Data Science
Melbourne City
The Master of Data Science addresses demand for specialist data scientists to manage and analyse big data accumulating from sources such as social media, sensors, mobile and transaction data.
The Master of Data Science program will prepare graduates for a career in data science, an emerging area driving economic growth, public policy and corporate strategy through management of very large collections of data to derive insights that ultimately benefit society.
As a student you will acquire a range of in-depth skills in data science by combining computer science and data analytics.
The program has opportunities to undertake an internship in industry.
You will undertake a capstone project which will provide you with hands-on practical experience analysing data in a project environment. The emphasis is on understanding and working within a corporate environment and integrating all the skills and knowledge that you have acquired from your previous courses into a solid base to progress from into your professional life.
1.5 years full-time or 3 years part-time (with advanced standing)
2 years full-time or 4 years part-time (without advanced standing)
1 year full-time or 2 years part-time, Graduate Diploma of Data Science available as exit award.
RMIT is committed to providing students with an education that strongly links formal learning with workplace experience.
You will learn through a broad mix of study modes including lectures, tutorials, practical classes, project work and seminars using face-to-face, online and other flexible delivery mechanisms.
The emerging growth field of Data Science is requiring professionals with advanced knowledge and skills.
Job titles for data scientists are diverse and include; analytics specialist, business intelligence analyst, business intelligence developer, data analyst, data architect, data engineer, data miner, data scientist, research scientist, web analyst.
Professional recognition and accreditation
Students and graduates can join the Institute of Analytics Professionals of Australia (IAPA). IAPA is the professional organisation for the analytics industry in Australia, incorporating business analytics and data mining across multiple disciplines and sectors.
Dr Mali Abdollahian has expertise in statistics, applied mathematics, numerical and computational mathematics.
Dr Zhifeng Bao is expert in making heterogeneous cross-domain data usable to data consumers, implemented in an efficient and generalized manner.
Associate Professor Lawrence Cavedon has expertise in spoken dialogue and speech interfaces, biomedical and health analytics, and artificial intelligence.
Dr Jeffrey Chan is expert in machine learning and data mining, social network analysis, user behaviour modelling, and network security.
Associate Professor Tao Gu expertise is in mobile and pervasive computing, sensor networks, distributed networks, big data analytics, and online social networks.
Dr Alice Johnstone is a lecturer is statistics.
Dr Flora Salim is an expert in human mobility and behaviour analytics of spatio-temporal sensor data from mobile, pervasive computing, and smart cities and environments.
Associate Professor Falk Scholer is expert in information retrieval, including evaluation of systems, relevance and user perceptions, document summarisation, interactive search, user modelling, and search engines.
Associate Professor James Thom is expert in databases, structured documents, ontologies and and multimedia information retrieval.
Dr Yan Wang is expert in spatial statistics, enumeration of animal and human population using capture-recapture method, and statistical analyses of epidemiological, ecological and associated data.
Associate Prof Xiuzhen (Jenny) Zhang is expert in databases, data mining and data analytics.
330 Swanston Street (cnr La Trobe Street)
Melbourne VIC 3000
Tel. +61 3 9925 2260
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Program and course information
Key content
Gain the skills to manage and analyse big data
As a major growth area, you'll be in demand for a wide variety roles managing very large collections of data to derive insights that ultimately benefit society.