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This course equips you with the essential knowledge and skills to tackle data science tasks for real-world business problems. You will perform descriptive, predictive, and prescriptive analytics from ethical and human-centered perspectives while exploring innovations in the field of data science. Choose this program for its unique transdisciplinary approach, blending diverse fields with practical industry experience. Stand out with skills in transforming practices through analytics. Gain expertise in data analysis, project management, and strategic implementation, all tailored to current market demands. Learn through a mix of online and in-person sessions at UTS's advanced facilities, enriched by industry partnerships. Engage with real-world data projects, ensuring your learning is relevant and applied. The surge in data across industries fuels a global demand for your future skills.
The dramatic growth of data in every conceivable industry, from oceanography to market research, presents another major driving force in generating unprecedented global demand for data science skills.
Programme overview
Main Subject
Data Science and Artificial Intelligence
Degree
Other
Study Level
Masters
Study Mode
Blended
This course equips you with the essential knowledge and skills to tackle data science tasks for real-world business problems. You will perform descriptive, predictive, and prescriptive analytics from ethical and human-centered perspectives while exploring innovations in the field of data science. Choose this program for its unique transdisciplinary approach, blending diverse fields with practical industry experience. Stand out with skills in transforming practices through analytics. Gain expertise in data analysis, project management, and strategic implementation, all tailored to current market demands. Learn through a mix of online and in-person sessions at UTS's advanced facilities, enriched by industry partnerships. Engage with real-world data projects, ensuring your learning is relevant and applied. The surge in data across industries fuels a global demand for your future skills.
The dramatic growth of data in every conceivable industry, from oceanography to market research, presents another major driving force in generating unprecedented global demand for data science skills.
Admission Requirements
58+
6.5+
4+
176+
79+
To be eligible for admission to this course, applicants must meet the following criteria.
Applicants must have one of the following:
Completed Australian bachelor's degree or higher qualification, or overseas equivalent, in any discipline with a minimum GPA of 4/7
OR
Completed Australian bachelor's degree or higher qualification, or overseas equivalent, in any discipline AND A minimum of 2 years full-time, or equivalent part-time, professional experience in a relevant professional occupation (listed below)
OR
Completed Australian bachelor's degree or higher qualification, or overseas equivalent, in a relevant discipline (listed below)
Successful applicants who also meet the following criteria may be eligible for 24cp of recognition of prior learning, reducing the course duration from 2 years to 1.5 years:
a minimum GPA of 4/7 and a minimum of 2 years full time, or equivalent part-time, professional experience in a relevant professional occupation (listed below)
OR
a minimum GPA of 4/7 and an academic qualification in a relevant discipline (listed below)
OR
an academic qualification in a relevant discipline (listed below) and a minimum of 2 years full time, or equivalent part-time, professional experience in a relevant professional occupation (listed below)
Applicants who do not meet the criteria above should consider applying for C06124 Graduate Diploma in Data Science and Innovation or C11274 Graduate Certificate in Data Science and Innovation.
Relevant disciplines:
Natural and Physical Sciences, Information Technology, Engineering and related technologies, Accounting, Business and Management, Sales and Marketing, Banking, Finance and related fields, Economics and Econometrics
Relevant professional occupations (ANZCO classification):
2241 Mathematical Science Professionals, 2243 Economists, 2244 Intelligence and Policy Analysts, 225112 Market Research Analyst, 225115 Digital Marketing Analyst, 26 ICT Professionals
Supporting documentation to be submitted with the application
For applicants who need to demonstrate work experience:
Curriculum Vitae AND Statement of service in one of the following formats:
A 'Statement of Service' provided by the employer
A completed 'UTS statement of service’ signed by the employer
A statutory declaration confirming work experience (for Australian Residents only)
An official letter from the applicant’s accountant or solicitor on their company letterhead confirming the applicant’s work experience or engagement with the business, duration of operations, and the nature of the business
A business certificate of registration in original language and English (e.g. provision of ASIC documentation or ABN or similar documentation for Australian Businesses)
Eligibility for admission does not guarantee offer of a place.
2 Years
Jul
Feb
Domestic
34,900 AUD
International
48,290 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 and Innovation
UTS City Campus, Sydney, Australia
# 36QS Subject Rankings
24 monthsProgramme duration
48,290 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
This course equips you with the essential knowledge and skills to tackle data science tasks for real-world business problems. You will perform descriptive, predictive, and prescriptive analytics from ethical and human-centered perspectives while exploring innovations in the field of data science. Choose this program for its unique transdisciplinary approach, blending diverse fields with practical industry experience. Stand out with skills in transforming practices through analytics. Gain expertise in data analysis, project management, and strategic implementation, all tailored to current market demands. Learn through a mix of online and in-person sessions at UTS's advanced facilities, enriched by industry partnerships. Engage with real-world data projects, ensuring your learning is relevant and applied. The surge in data across industries fuels a global demand for your future skills.
The dramatic growth of data in every conceivable industry, from oceanography to market research, presents another major driving force in generating unprecedented global demand for data science skills.
Programme overview
Main Subject
Data Science and Artificial Intelligence
Degree
Other
Study Level
Masters
Study Mode
Blended
This course equips you with the essential knowledge and skills to tackle data science tasks for real-world business problems. You will perform descriptive, predictive, and prescriptive analytics from ethical and human-centered perspectives while exploring innovations in the field of data science. Choose this program for its unique transdisciplinary approach, blending diverse fields with practical industry experience. Stand out with skills in transforming practices through analytics. Gain expertise in data analysis, project management, and strategic implementation, all tailored to current market demands. Learn through a mix of online and in-person sessions at UTS's advanced facilities, enriched by industry partnerships. Engage with real-world data projects, ensuring your learning is relevant and applied. The surge in data across industries fuels a global demand for your future skills.
The dramatic growth of data in every conceivable industry, from oceanography to market research, presents another major driving force in generating unprecedented global demand for data science skills.
Admission Requirements
To be eligible for admission to this course, applicants must meet the following criteria.
Applicants must have one of the following:
OR
OR
Successful applicants who also meet the following criteria may be eligible for 24cp of recognition of prior learning, reducing the course duration from 2 years to 1.5 years:
OR
OR
Applicants who do not meet the criteria above should consider applying for C06124 Graduate Diploma in Data Science and Innovation or C11274 Graduate Certificate in Data Science and Innovation.
Relevant disciplines:
Natural and Physical Sciences, Information Technology, Engineering and related technologies, Accounting, Business and Management, Sales and Marketing, Banking, Finance and related fields, Economics and Econometrics
Relevant professional occupations (ANZCO classification):
2241 Mathematical Science Professionals, 2243 Economists, 2244 Intelligence and Policy Analysts, 225112 Market Research Analyst, 225115 Digital Marketing Analyst, 26 ICT Professionals
Supporting documentation to be submitted with the application
For applicants who need to demonstrate work experience:
Eligibility for admission does not guarantee offer of a place.
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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Doctor of Philosophy (PhD Thesis: Indigenous Health)
Doctor of Philosophy (PhD Thesis: Midwifery)
Doctor of Philosophy (PhD Thesis: Midwifery)
Doctor of Philosophy (PhD Thesis: Nursing)
Doctor of Philosophy (PhD Thesis: Nursing)
Doctor of Philosophy (PhD Thesis: Orthoptics)
Doctor of Philosophy (PhD Thesis: Orthoptics)
Doctor of Philosophy (PhD Thesis: Pharmacy)
Doctor of Philosophy (PhD Thesis: Physiotherapy)
Doctor of Philosophy (PhD Thesis: Psychology)
Doctor of Philosophy (PhD Thesis: Public Health)
Doctor of Philosophy (PhD Thesis: Speech Pathology)
Natural Sciences (6)
Doctor of Philosophy (PhD Thesis: Mathematical Sciences)
Doctor of Philosophy (PhD Thesis: Mathematical Sciences)
Doctor of Philosophy (PhD Thesis: Science)
Doctor of Philosophy (PhD Thesis: Science)
Doctor of Philosophy (PhD Thesis: Sustainable Futures)
Doctor of Philosophy (PhD Thesis: Sustainable Futures)
Social Sciences and Management (6)
Doctor of Philosophy (PhD Thesis: Communication)
Doctor of Philosophy (PhD Thesis: Communication)
Doctor of Philosophy (PhD Thesis: International)
Doctor of Philosophy (PhD Thesis: International)
Doctor of Philosophy (PhD Thesis: Law)
Doctor of Philosophy (PhD Thesis: Law)
Doctor of Philosophy (PhD Thesis: Sport and Exercise)
Doctor of Philosophy (PhD Thesis: Sport and Exercise)