Accelerated Master of Data Science
A 1.5-year advanced degree in data science, modelling, and machine learning for students with a relevant undergraduate background.
Best for:Best for graduates with a bachelor’s degree in computer science, information technology, or related fields seeking a fast-track master’s in data science with specialisation options.
Overview
The Accelerated Master of Data Science at La Trobe University is designed for students with a bachelor’s degree in computer science, information technology, or related fields. This programme accelerates the completion of a master’s degree to 1.5 years by offering advanced standing for eligible students. It focuses on developing expertise in data analysis, statistical modelling, machine learning, and specialised domains such as artificial intelligence, big data, bioinformatics, and business applications. Students will gain hands-on experience with tools like R, data cleaning, visualisation, and cloud computing, preparing them for careers in evidence-based decision-making and data-driven industries.
What you'll do
- Develop skills in data exploration, analysis, and modelling using advanced tools like R.
- Learn data cleaning, normalisation, and visualisation techniques to prepare datasets for analysis.
- Specialize in one of seven areas: artificial intelligence and analytics, big data and cloud computing, bioinformatics, business applications, data modelling and analytics, mathematical data science, or sport analytics.
- Apply machine learning techniques to solve complex real-world problems.
- Collaborate on projects that support evidence-based decision-making in various industries.
- Engage in hands-on learning through practical assignments and case studies.
Requirements
Degree required: Successful completion of an Australian bachelor degree (or equivalent) in computer science, information technology, or information systems.
Degree offered: Master of Data Science
Language: English proficiency (if applicable, as per university admission standards).
Instruction: English
- Proficiency in programming (e.g., R, Python, or similar).
- Basic understanding of statistical analysis and data modelling.
- Familiarity with data cleaning and normalisation techniques.
- Eligible cognate students with a relevant bachelor’s degree.
- No specific nationality or residency restrictions mentioned.
Funding & terms
Programme and admissions
Admissions not verified
A catalogue listing does not mean applications are open or funding is guaranteed. Check the source for your intake.
- Intake
- Not confirmed by the source
- Duration
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- Teaching language
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- Taught / research mode
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- Study mode
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- Campus
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- Prerequisites
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- Application instructions
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- Tuition
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- Funding
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How to apply
Deadline: unknown
Applicants must apply directly through La Trobe University’s official application portal. Ensure you meet the eligibility criteria and provide all required documents, including academic transcripts and proof of English proficiency if applicable.
- CV or resume
- Academic transcripts (bachelor’s degree)
- Proof of English proficiency (if required)
- Statement of purpose or personal statement
Contact
Create a free profile to unlock your personal match score, the full requirements, funding details and how to apply — in English or Persian.