The Master of Data Science offered by the University of Sydney aims to cultivate professionals with strong data analysis capabilities to meet the growing demand for data-driven decision-making. Integrating theory and practice, this program is suitable for students who wish to deepen their expertise in data science. Below, we provide a detailed overview covering program introduction, curriculum, admissions requirements, and career prospects. For detailed information and more graduate application inquiries, scan the QR code below for one-on-one consultation.
1. Program Introduction
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Degree Title: Master of Data Science
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Duration: 1.5 years full-time, or part-time (for students not on a student visa)
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Delivery Mode: Face-to-face classes at the University of Sydney Camperdown/Darlington campuses, with online options available
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Intake Periods: February and August each year
The program is designed for professionals with mathematical or quantitative backgrounds, aiming to develop skills in data mining, machine learning, and data visualization to support data-driven decision-making processes.
Official link: https://www.sydney.edu.au/courses/courses/pc/master-of-data-science0.html
2. Curriculum Structure
The Master of Data Science requires completion of 72 credit points, structured as follows:
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Core Units (30 credit points):
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Data Science Core (18 credit points)
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Specialization Core (12 credit points)
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Specialization Units (at least 18 credit points):
Students may select data science specialization units based on their interests, covering areas such as advanced data modeling and data engineering.
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Elective Units (up to 12 credit points):
A range of elective units is offered, allowing students to tailor their studies to their career goals.
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Capstone Project (12 credit points):
Students must complete a capstone project, which can be undertaken as a 12-credit-point project in one semester or split into two 6-credit-point projects across two semesters.
Assessment methods include written exams, coursework, group projects, and oral presentations, emphasizing the combination of theory and practice.
3. Admissions Requirements
Academic Requirements
Applicants must meet one of the following criteria:
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An Australian bachelor's degree (three years) in a relevant discipline with a background in computer programming and statistics, and a minimum average of 65%;
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Completion of the Graduate Diploma in Data Science at the University of Sydney with a minimum average of 65%; or
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Completion of 24 credit points from the University of Sydney's Graduate Diploma or Graduate Certificate in Data Science, including 12 credit points of Data Science core units and 12 credit points of Data Science specialization elective units, with a minimum average of 65%.T
English Language Requirements
Non-native English speakers must provide evidence of English proficiency through one of the following:
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IELTS: overall score of 6.5 with no band lower than 6.0
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TOEFL iBT: overall score of 79
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PTE Academic: overall score of 64 with no section below 60
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CAE: overall score of 176 with no component below 169
English test results must be valid within two years prior to the program start date.
Application Materials
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Online application form
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Proof of residency
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Curriculum Vitae (CV)
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Academic transcripts
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English language proficiency evidence
Application deadlines are typically in May and June each year; please refer to the university website for specific dates.
4. Career Prospects
The field of data science is experiencing robust growth both in Australia and globally. Graduates possess skills in data analysis, machine learning, and data visualization, opening up extensive employment opportunities across various industries.
Career Directions
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Data Scientist
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Data Engineer
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Data Analyst
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Machine Learning Engineer
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Data Manager
Graduates can find employment in sectors such as finance, healthcare, e-commerce, and telecommunications.
Salary Levels
Based on salary data from the Australian data science industry, average annual salaries for related positions are as follows:
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Data Scientist: approximately AUD 122,118
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Data Engineer: approximately AUD 128,745
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Data Analyst: approximately AUD 108,441
Actual salaries may vary depending on experience, industry, and company size.
During the 25fall application season, CheersYou（清柚教育） students have received offers for this program. To learn about application timelines and backgrounds, view more admissions cases, or ask graduate study-related questions, add the CheersYou（清柚教育） contact below for detailed information.
