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La Trobe University

  • 24% international / 76% domestic

Master of Data Science

  • Masters (Coursework)

Organisations in every industry are asking big questions. With a Master of Data Science under your belt, you'll have the skills to help answer them. Data science professionals are in high demand in today's data-driven world.

Key details

Degree Type
Masters (Coursework)
Duration
2 years full-time
Course Code
092396B
Study Mode
Online, In person
Intake Months
Feb, Jul, Nov
Domestic Fees
$32,400 per year / $64,800 total
International Fees
$36,800 per year / $73,600 total

About this course

Organisations in every industry are asking big questions. With a Master of Data Science under your belt, you'll have the skills to help answer them.

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.

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.

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.

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.

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


You'll learn:

  • Data science
    • Get practical experience with open-source software and platforms, including Python, R and Hadoop.
    • Understand database fundamentals, programming languages such as Java and Python, and cloud-based services offered by Amazon, Google, IBM and Microsoft.
  • Mathematics and statistics
    • Learn how to create complex models and use powerful tools for advanced analysis and problem-solving.
    • Build your skills using real data sets from our industry partners and learn how to solve data challenges facing businesses and organisations.
  • Project management
    • Learn how to manage large-scale IT projects and work in a team to develop a small-scale, industry-based system.
  • Complementary skills in other disciplines
    • Boost your knowledge through electives in business, health sciences, artificial intelligence and cybersecurity.

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

Sample course structure

Please note, the following course structure is indicative and subject to change depending on your course location, offer year or how you tailor your course with specialisations, majors, minors and electives. Structures for the following year are not normally finalised until October, so the sample provided is based on the most recently approved structure. For more information, please refer to the La Trobe University Handbook.

To qualify for the award of Master of Data Science, students must complete a total of 240 credit points across 2 years.

Year 1 requires the completion of 120 credit points including:

  • 75 credit points from chosen Core
  • 30 credit points from chosen Core choice- Specialisation
  • 15 credit points from chosen Electives

Year 2 requires the completion of 120 credit points including:

  • 15 credit points from chosen Core
  • 30 credit points from chosen Core choice- Specialisation
  • 60 credit points from chosen Core choice- Pathway
  • 15 credit points from chosen Electives
Study options

Core subjects are required subjects in your course. You need to complete these subjects to attain your degree.

Subject name Subject code Year Credit points ACADEMIC INTEGRITY MODULE LTU0AIM 1 0 DATA EXPLORATION AND ANALYSIS CSE5DEV 1 15 DATABASE FUNDAMENTALS CSE4DBF 1 15 INTRODUCTION TO PROGRAMMING CSE4IP 1 15 MATHEMATICS FOR DATA SCIENCE MAT4MDS 1 15 PROBABILITY AND STATISTICS FOR DATA SCIENCE STM4PSD 1 15 PROFESSIONAL PRACTICES AND ENTREPRENEURSHIP IN INFORMATION TECHNOLOGY CSE5003 2 15

A range of standalone elective subjects is available in this course. Some electives are recommended for your course, but you may also be able to choose from a range of University-wide electives or electives from other interest areas or disciplines. Note these electives may have their own prerequisites and other requirements. Please refer to the La Trobe University Handbook for the subjects available.

Core choice subjects are one or more subject groups you need to select in your course. Core choice subjects may be specific to your course, major, minor, specialisation or other learning requirements.

Students to select one learning pathway from the list below.

Pathway

  • Statistics thesis
  • Computer science thesis
  • Industry based learning 1
  • Industry based learning 2
  • Industry based learning 3

For more information on these please refer to the La Trobe University Handbook.

A specialisation is a sequence of related subjects studied in your course. In some courses, you need to complete at least one specialisation to attain your degree.

Students to select one specialisation

Specialisation

  • Artificial intelligence analytics
  • Big data and cloud computing
  • Bioinformatics
  • Business applications
  • Data modelling and analytics
  • Mathematical data science
  • Sport analytics

For more information on these please refer to the La Trobe University Handbook.

See La Trobe University 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.

  • Melbourne (Bundoora)

To view other campus handbook course details, please select relevant campus in the drop down.

Study locations

Melbourne

Online

Career pathways

After graduation, you could work across a range of industries, including business and finance, science, education, health, and sports.

  • Data scientist
    • Understand complex data and leverage it to the advantage of businesses and organisations.


  • Business analyst
    • Understand how businesses run and use data to solve problems and improve processes.


  • Health analyst
    • Gather, analyse and verify healthcare information.


  • Bioinformatician
    • Develop methods of research and analysis for understanding and leveraging biological and genomic data.


  • Machine learning engineer
    • Use your detailed understanding of machine learning, big data, cloud technology and mathematics to create effective machine learning solutions.

Graduate outcomes

Graduate satisfaction and employment outcomes for Computing & Information Systems courses at La Trobe University.
78.2%
Overall satisfaction
78.2%
Skill scale
74.7%
Teaching scale