Master of Arts [M.A] (Data Science and Innovation)
Field of Study:
A$44,240/Yr
- The Master of Data Science and Innovation at the University of Technology Sydney is a postgraduate program that aims to equip students with the knowledge and skills needed to thrive in the rapidly-evolving field of data science. The program is designed to provide a comprehensive education in data science, including statistical analysis, machine learning, data visualization, and data management.
- The program is offered by the Faculty of Engineering and Information Technology and is taught by expert faculty members with extensive experience in the field of data science. Students will have access to state-of-the-art facilities, including the UTS Data Arena, a 360-degree interactive data visualization space.
- The program is suitable for students who have a background in computer science, mathematics, engineering, or related fields. Graduates of the program will be prepared for a wide range of careers in data science, including data analyst, data scientist, machine learning engineer, and business analyst.
- The program is typically delivered over 1.5 to 2 years of full-time study, or part-time equivalent, and includes a mix of coursework, group projects, and practical experience. Students will also have the opportunity to undertake a capstone project, allowing them to apply their knowledge and skills to a real-world problem.
Tuition Fees
| Year | 1st Year Fees |
|---|---|
| Tuition Fees | A$44240 (AUD 44240) |
Previous Year Tuition Fees
| Year | 1st Year Fees |
|---|---|
| 2021 | A$42960 (AUD 42960) |
Eligibility & Entry Requirement
Academic Eligibility
- Applicants must have completed a UTS-recognized bachelor's degree, or an equivalent or higher qualification, or submitted other evidence of general and professional qualifications that demonstrates the potential to pursue graduate studies.
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In addition, applicants must also meet one of the following criteria:
-
The academic qualification used to support the application for admission must have been completed with a GPA of at least 4.0 on a 7.00 GPA scale or
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The applicant must have a minimum of two-year full-time, or equivalent part-time, work experience in one of the following fields.
- Actuaries, Mathematicians, and Statisticians
- Economists
- Intelligence and Policy Analysts
- Advertising and Marketing Professionals
- ICT Professionals
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Documents required:
- Curriculum Vitae.
- Personal Statement.
Language proficiency requirement:
Applicant must have qualified for any one of the language tests TOEFL, IELTS, PTE, CAE, or AE5.
Course Guides
Masters in Data Science in Australia: Fees 2023, Top Colleges, Admissions, Placements & Salaries
Scholarship Grants & Financial Aids
| Name | Scholarship Per Student | Level of Study | Type | |
|---|---|---|---|---|
| UTS Science International Postgraduate Coursework Scholarship for Excellence | Scholarship per studentA$ 1,137/Yr$1,137 | Level Of StudyMaster | TypeCollege-Specific | |
| UTS Postgraduate Academic Excellence Scholarship | Scholarship per studentVariable Amount | Level Of StudyMaster | TypeCollege-Specific | |
| FINCAD Women in Finance Scholarship | Scholarship per studentA$ 20,000/Yr$20,000 | Level Of StudyMaster | TypeMerit-Based | |
| BrokerFish International student scholarship | Scholarship per studentA$ 1,000/Yr$1,000 | Level Of StudyBachelor | TypeMerit-Based | |
| Destination Australia Scholarship | Scholarship per studentA$ 11,070/Yr$11,070 | Level Of StudyBachelor | TypeEasy-to-Apply | |
| QS scholarships | Scholarship per studentVariable Amount | Level Of StudyBachelor | TypeMerit-Based |
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