Overview
The Master of Data Science at La Trobe University is tailored to meet the demands of one of Australia's most rapidly expanding professions. This advanced programme not only prepares students for roles in data science but also provides a robust foundation in programming, databases, statistics, and data analysis. Students will gain hands-on experience with essential tools and technologies, ensuring they are well-equipped for the challenges of the industry.
Why Data Science at La Trobe University?La Trobe University is renowned for its commitment to academic excellence and industry collaboration. The university's strong partnerships with leading organisations enhance the learning experience, providing students with opportunities to engage in real-world projects. La Trobe's state-of-the-art facilities and resources further support a comprehensive educational environment. The programme is designed with input from industry experts, ensuring that the curriculum remains relevant and effective.
Tuition Fee BreakdownThe tuition fees for the Master of Data Science are as follows:
- Domestic students: AUD 33,000 per year
- International students: AUD 41,000 per year
Visit the Fees and Funding section for a breakdown in your local currency.
SyllabusThe Master of Data Science curriculum is structured to provide a comprehensive understanding of the field. Students must complete a total of 240 credit points over two years, with the following breakdown:
- Year 1: 120 credit points, including:
- 75 credit points from Core subjects
- 30 credit points from Specialisation
- 15 credit points from Electives
- Year 2: 120 credit points, including:
- 30 credit points from Core subjects
- 30 credit points from Specialisation
- 60 credit points from Core choice - Pathway
Core subjects include Data Exploration and Analysis, Database Fundamentals, Introduction to Programming, Mathematics for Data Science, and Probability and Statistics for Data Science. Specialisations available are Artificial Intelligence Analytics, Big Data and Cloud Computing, Bioinformatics, Business Applications, Data Modelling and Analytics, Mathematical Data Science, and Sport Analytics.
Industry DemandAs the reliance on data continues to grow across various sectors, the demand for skilled data science professionals is at an all-time high. Graduates of this programme will find opportunities in diverse industries, including finance, healthcare, education, and technology, making it a versatile choice for aspiring data scientists.
Careers with Data ScienceGraduates of the Master of Data Science can pursue a range of careers, including:
- Data Scientist: Utilising complex data to inform business strategies.
- Business Analyst: Leveraging data to enhance business processes.
- Health Analyst: Analysing healthcare data for improved patient outcomes.
- Bioinformatician: Developing methods for biological data analysis.
- Machine Learning Engineer: Creating solutions using machine learning and big data.
The programme prepares students for successful careers by providing the skills and knowledge needed to excel in this fast-evolving field.
Programme Structure
Courses included:- Data Exploration and Analysis
- Programming
- Mathematics for Data Science
- Probability and Statistics for Data Science
- Professional Practices and Entrepreneurship in Information Techology
Key information
Duration
- Full-time
- 24 months
Start dates & application deadlines
- Starting
- Apply before , National
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- Starting
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Internationals - The University assesses applications on a rolling basis which means you can apply for the next upcoming intake or available future intakes.
Language
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Credits
Delivered
Campus Location
- Melbourne, Australia
Disciplines
Data Science & Big Data View 55 other Masters in Data Science & Big Data in AustraliaWhat students do after studying
Academic requirements
We are not aware of any specific GRE, GMAT or GPA grading score requirements for this programme.
English requirements
Prepare for Your English Test
AI-powered IELTS feedback. Clear, actionable, and tailored to boost your writing & speaking score. No credit card or upfront payment required.
- Trusted by 300k learners
- 98 accuracy using real exam data
- 4.9/5 student rating
Other requirements
General requirements
CRICOS code: 092396B
- Successful completion of an Australian bachelor degree (or equivalent).
- 6.5 IELTS (Academic) with no individual band less than 6.0.
Student Insurance via Studyportals Partner
Make sure to cover your health, travel, and stay while studying abroad. Even global coverages can miss important items like Additional medical costs, Repatriation, Liability etc. Make sure your student insurance covers your needs.
Studyportals partnered with Aon to provide you with the best affordable student insurance, for a carefree experience away from home.
Get your student insurance nowStarting from €0.53/day, free cancellation any time.
Remember, countries and universities may have specific insurance requirements. To learn more about how student insurance work at La Trobe University and/or in Australia, please visit Student Insurance Portal.
Tuition Fees
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International Applies to you
Applies to youNon-residents43800 AUD / year≈ 43800 AUD / year -
Domestic Applies to you
Applies to youCitizens or residents34800 AUD / year≈ 34800 AUD / year
Additional Details
Domestic Students:
- Commonwealth Supported Places (CSP) may be available.
- Indicative CSP price $7,872 per 120 credit points.
Living costs
Melbourne
The living costs include the total expenses per month, covering accommodation, public transportation, utilities (electricity, internet), books and groceries.
Funding
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Scholarships Information
Below you will find Master's scholarship opportunities for Data Science.
Available Scholarships
You are eligible to apply for these scholarships but a selection process will still be applied by the provider.
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