Master of Statistical Data Analysis
A rigorous master’s programme in statistical theory and application for interdisciplinary data-driven careers.
Best for:Best for graduates with a bachelor’s degree in mathematics, statistics, or related disciplines seeking to specialise in statistical data analysis for careers in research, industry, or academia.
Overview
The Master of Statistical Data Analysis at The Australian National University (ANU) offers specialised training in statistical theory and application, preparing graduates to analyse complex data across diverse fields such as biology, economics, medicine, and information technology. This programme equips students with advanced mathematical and statistical skills, ensuring they can interpret data effectively and contribute to research or industry roles globally. The curriculum balances theoretical foundations with practical applications, fostering expertise in calculus, linear algebra, and statistical modelling. Ideal candidates will have a strong quantitative background and a passion for leveraging data to solve real-world problems.
What you'll do
- Develop advanced skills in statistical theory and application through rigorous coursework.
- Apply mathematical and statistical techniques to solve complex problems in diverse fields.
- Conduct independent research projects under academic supervision.
- Engage in interdisciplinary collaboration to interpret and analyse real-world data.
- Develop expertise in calculus and linear algebra for statistical modelling.
- Prepare for professional roles as a statistician in research, industry, or academia.
Requirements
Degree required: Bachelor’s degree or international equivalent in a cognate discipline (e.g., mathematics, statistics, physics, economics, computer science) with a minimum GPA of 5.0/7.0, including a course covering calculus and linear algebra. Alternatively, an ANU Graduate Certificate in Statistics/Mathematics with a GPA of 4.0/7.0 and a relevant mathematics course.
Language: English proficiency (not explicitly stated but implied for academic programme)
Instruction: English
- Proven academic background in mathematics or statistics
- Strong proficiency in calculus and linear algebra
- Ability to apply statistical methods to interdisciplinary problems
- Analytical and problem-solving skills
- Bachelor’s degree or equivalent in a relevant discipline
- Minimum GPA of 5.0/7.0 (or 4.0/7.0 for ANU Graduate Certificate holders)
- Completion of a mathematics course covering calculus and linear algebra
- No explicit 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 submit their application through the ANU programmes and courses portal. The process typically involves providing academic transcripts, proof of English proficiency (if applicable), a personal statement, and any additional documents specified by the programme.
- CV or resume
- Academic transcripts (Bachelor’s degree or ANU Graduate Certificate)
- Proof of English proficiency (if required)
- Personal statement or research proposal
- Proof of relevant coursework (calculus and linear algebra)
Create a free profile to unlock your personal match score, the full requirements, funding details and how to apply — in English or Persian.