La Trobe University

Master of Data Science


Start dates
Semester 1 and 2 (March and July)
2 years full-time or part-time equivalent
Fees and costs
$28,200 per 120 credit points.
Note: 120 credit points represents full-time study for one year.
There are limited CSP places.
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.

The qualification awarded on graduation is recognised in the Australian Qualifications Framework (AQF) as Level 9.

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.

Analytical science

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.

Entry requirements


Australian Bachelor degree (or equivalent) in computer science, information technology, computer engineering, or science with a major in mathematics or statistics. NB: Meeting minimum prerequisites 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.

Note: Meeting minimum prerequisites 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.

Advanced standing - credit for prior study

Advanced Standing is the recognition of previous study or learning that can be counted towards a qualification. This can reduce the number of subjects required to complete your course. The amount of credit received depends on the level and relevance of your previous tertiary study and the number of subjects completed.

Visit our Advanced standing information to see if advanced standing is available for this course.


If you wish to delay your studies until a later time, it may be possible for you to defer. Find out if you can defer.

Career outcomes

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 scholarships

Course fees

$28,200 per 120 credit points.
Note: 120 credit points represents full-time study for one year.
There are limited CSP places.


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

Apply now to start in Semester 2, 2018. How to apply for a postgraduate coursework degree To find out more about this course and studying at La Trobe: - ask us a question - book a one-on-one consultation - chat online - visit our FAQ page - connect with us on Facebook, Twitter, Twitter, or Instagram - call us on 1300 135 045.

Additional information

This course requires prior knowledge in cognate areas of either Computer Science, IT, and/or Mathematics and Statistics. The course starts with a semester of core fundamental subjects designed to address knowledge gaps in the required cognate skills. E.g. students who have completed a Computer Science degree will need to choose fundamental subjects in Statistics and vice versa. Please note that this course does not allow Advanced Standings. Students are required to complete 240 credit points.

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.