Master of Data Science
The two-year Master of Data Science will prepare you for a contemporary and rewarding career interpreting and making use of messy data. Whether you're looking for a commercial career or you want to help solve society's most important challenges, this degree will give you a unique combination of technical skills and real-world application. It will enable you to traverse any industry, any issue, any geography. The course has been developed in partnership with industry and researchers, and is delivered by an academic team that is shaping practice in Victoria and internationally. You can choose to major in Bioinformatics, Big Data and Cloud Computing or Analytical Science. You can also choose electives studies in Business Analytics to extend your skills and experience.
Each major includes a set of core advanced subjects from computer science and mathematics/statistics disciplines and a number of specialised advanced subjects including big data high-performance programming, computational intelligence for analytics, cloud systems development, analysis of repeated measures data, meta-analysis, and bioinformatics technologies.
Specialisations, majors and minors
Big data and cloud computing
Cloud computing is fast eliminating the need for other more expensive hardware solutions and the dedicated space and software they require. By specialising in cloud computing and big data you’ll be invaluable in helping organisations to understand this new technology and to interpret the high volumes of data it produces.
Due to the ever-evolving nature of cloud computing technology, the demand for specialists is set to rise as products and services expand.
You’ll be qualified to work at the forefront of this industry, acting on insights garnered from large data sets and planning strategically based on your scientific findings.
As the amount of data streaming into businesses and science grows, and the complexity of this data increases, it’s vital to find graduates skilled in data analytics. Employees who can understand patterns and trends in data and use them to make predictions are highly sought after and recruitment spans across all kinds of industries.
Set yourself up as an expert in data interpretation. Learn about practical data analysis and develop a high level of proficiency in modern statistical software. Get hands-on by selecting a major that uses real-world data sets and real-life problems to solve.
This specialisation covers sub-disciplines such as meta-analysis, analysis of repeated measures data, models for bioinformatics, and various elective subjects in advance statistics, health sciences, business and computing technologies.
Bioinformatics relates to biological data. That is, the collection, classification, storage and analysis of biochemical and biological information using computers - as applied to molecular genetics and genomics. Harness your mathematics, statistics and data analytics skills in the field of health and biology to maximise your career potential.
Gain knowledge and practical experience in database management, use of algorithms and statistics, and the latest statistical tools used to identify, interpret and mine data sets.
Our bioinformatics major uses Big Data to solve real-world issues so you can apply your knowledge and skills in one of society’s most important industries.
Academic entry requirement
Students must have completed a degree equivalent to a degree from an Australian university in computer science, information technology, computer engineering, or science with a major in mathematics or statistics.
NB: Meeting minimum entry requirements does not guarantee an offer of a place. Entry into all La Trobe courses is based on competitive selection and there may be limited places available.
English language requirement
UG and PG (including HDR) Option 1: Academic 6.5, no band less than 6.0
Data scientists can work in almost any industry. La Trobe University is already working with hospitals, large internet companies and the Australian Institute of Sport to solve real-world data problems. Graduates will be well positioned for the following careers: - Data scientist - Business analyst - Bioinformatician - Computational safety and data scientist - Data analyst - Analytical scientist - Quantitative specialist - Machine learning engineer - Supply chain analyst - Business intelligence analyst - Data engineer - Statistician
Fees and costs
Annual tuition fee (A$)
Do you have an excellent academic record? If you're a full-fee paying student, you may be eligible for a La Trobe College Excellence Scholarship and receive up to a 25% reduction on your course fees.
Scholarships are available for both current and future students. Find out what La Trobe scholarship opportunities might be available to you.
How to apply
See Student Handbook for more details
The Handbook contains detailed course information designed for enrolled students, including course structures, electives and options. The delivery of this course can vary between campuses. For detailed information please select the relevant campus:
CRICOS code: 092396B