Get a unique skillset

Data scientists are in high demand across many industries around the world.

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Choose Master of Data Science at La Trobe

La Trobe’s Master of Data Science will provide you with a unique skillset that is in demand across a wide array of industries worldwide. Data scientists work across business, health, agriculture, biology, sport, transport, logistics, information technology and more, to interpret big data and identify innovative opportunities.

Companies around the globe are finding ways to manage higher volumes of data and to solve increasingly complex challenges. This means employers are competing fiercely for experts in this burgeoning field.

Our Data Science degree is designed to give you a competitive edge through up-to-the-minute theoretical content, real-world practical experiences, and networking opportunities with industry leaders.

La Trobe ranks ‘above world standard’ for mathematical sciences and pure mathematics research and ‘well above world standard’ for statistics research in the 2015 ERA Australian Research Council rankings. This means you’ll learn from academics who are at the forefront of the Big Data field. You’ll also learn using the latest data science tools such as Apache Spark and Hadoop.

Select from one of three majors: bioinformatics, big data and cloud computing, or analytical science, and broaden your knowledge through a range of electives.  You’ll graduate ready to tackle society’s next generation of challenges using your unique skills in big data computing, analytical modelling and intelligence systems.

Career opportunities

Data scientists are in short supply but desired in many industries. Rapid technological advances have created large volumes of complex data, and companies are seeking experts who can use this data to their advantage.

La Trobe University is already working with hospitals, large internet companies and the Australian Institute of Sport to solve real-world data problems.

As a graduate you’ll be well positioned for a career as a:

  • data scientist
  • business analyst
  • bioinformatician
  • healthcare data scientist
  • statistician
  • quantitative specialist
  • supply chain analyst
  • data engineer.

This course allows you to work in any sector where data can help solve problems, these may include:

  • health
  • science
  • agriculture
  • sport
  • transport
  • information technology
  • engineering
  • marketing
  • finance
  • government.

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It’s your time

Step up to postgraduate study.

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Get your answer by the next business day.

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Keep in touch

Register to receive updates on our courses and upcoming events.

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Knowledge Blog

La Trobe's Knowledge Blog is for postgrad students: career tips, staff profiles and more.

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Course details for local students

Master of Data Science

Semester starts:
Semester 1 and 2 (March and July)
Fees amount:
$27,250 per 120 credit points.
Campus:
Melbourne
Duration:
2 years full-time or part-time equivalent
Prerequisites:
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.
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.
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:

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

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.

Course details for international students

Master of Data Science (092396B)

Semester starts:
Semester 1 and 2 (March and July)
Fees amount:
31 000
Campus:
Melbourne
Duration:
2 years full-time
Prerequisites:
UG and PG (including HDR) Option 1: Academic 6.5, no band less than 6.0
Academic entry requirements:
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.
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:

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

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.

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