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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.
Programme overview
Main Subject
Data Science and Artificial Intelligence
Degree
Other
Study Level
Masters
Study Mode
Blended
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.
Admission Requirements
176+
58+
79+
6.5+
Prerequisites To be considered for admission to this degree you will need to meet at least one of the following criteria:
completion of an Australian bachelor degree or equivalent in any discipline. OR
completion of the Postgraduate Qualifying Program (PPN001)
2 Years
Mar
Jul
Tuition fees
Domestic
34,800 AUD
International
43,800 AUD
Scholarships
Selecting the right scholarship can be a daunting process. With countless options available, students often find themselves overwhelmed and confused. The decision can be especially stressful for those facing financial constraints or pursuing specific academic or career goals.
To help students navigate this challenging process, we recommend the following articles:
Master of Data Science
Melbourne, Melbourne, Australia
24 monthsProgramme duration
43,800 AUDTuition Fee/year
Data Science and Artificial IntelligenceMain Subject Area
Programme overview
Main Subject
Data Science and Artificial Intelligence
Degree
Other
Study Level
Masters
Study Mode
Blended
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:
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.
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.
Learn how to manage large-scale IT projects and work in a team to develop a small-scale, industry-based system.
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.
Programme overview
Main Subject
Data Science and Artificial Intelligence
Degree
Other
Study Level
Masters
Study Mode
Blended
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:
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.
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.
Learn how to manage large-scale IT projects and work in a team to develop a small-scale, industry-based system.
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.
Admission Requirements
To be considered for admission to this degree you will need to meet at least one of the following criteria:
completion of an Australian bachelor degree or equivalent in any discipline.
OR
completion of the Postgraduate Qualifying Program (PPN001)
Tuition fees
Domestic
International
Scholarships
Selecting the right scholarship can be a daunting process. With countless options available, students often find themselves overwhelmed and confused. The decision can be especially stressful for those facing financial constraints or pursuing specific academic or career goals.
To help students navigate this challenging process, we recommend the following articles:
How to get a full scholarship
Looking for a fully-funded scholarship to see you into university? Find out how to boost your chances of getting one.
Scholarships to study abroad
Find scholarships to study abroad with our lists of international scholarships – categorized by country, by subject, and by type of student.
Scholarship Applications: Frequently Asked Questions
Get answers to all your questions about scholarship applications, including tips on how to find scholarships and chances of success.
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