QS Rank:

38

University of Sydney

New South Wales
,Australia

Program Name
Master's in Data Science
Overview

The Master's in Data Science program at the University of Sydney is meticulously designed to equip students with the comprehensive skill set required in today's data-driven world. As one of the premier institutions in New South Wales, Australia, the university offers an array of specialization options such as data engineering, machine learning, artificial intelligence, and business intelligence. This program is tailored to provide both theoretical knowledge and practical experience, ensuring that graduates are well-prepared to tackle real-world challenges in various domains. The course spans approximately 18 months and comprises a rich blend of hands-on projects, collaborative work, and industry-relevant coursework, ultimately fostering a deep understanding of data science principles.
Throughout the duration of the program, students will delve into a diverse curriculum that covers critical themes such as applied statistics, data preparation, and machine learning techniques. Core courses include subjects like database systems, business intelligence, and software engineering, which are essential for understanding how to efficiently manage and analyze large sets of data. The program also places a strong emphasis on programming skills, with courses focusing on Python, R, and Java, which are widely used in the industry. By the end of the program, students will have developed a robust toolkit to interpret data and glean actionable insights beneficial to businesses and organizations.
The faculty expertise at the University of Sydney is one of the program's standout features. The instructors are not only academically distinguished but also active in research and industry projects, bringing real-world insights into the classroom. They employ innovative teaching methodologies, which include case studies, guest lectures from industry leaders, and collaborative projects, ensuring students are engaged and learning in a dynamic environment. This approach fosters critical thinking and problem-solving skills, enabling students to approach data science challenges with confidence and creativity.
Research opportunities are abundant within the Master's in Data Science program. Students have access to cutting-edge resources, including advanced data analytics labs and research centers that focus on artificial intelligence and machine learning. The university encourages student involvement in ongoing research projects, providing them with the chance to contribute to groundbreaking work while enhancing their own learning experience. These projects often lead to publications and presentations, which can significantly boost a student's academic profile and career prospects.
Moreover, the University of Sydney has established strong connections with various industries, providing students with numerous internship possibilities that are invaluable for gaining practical experience. The university's career services actively assist students in securing internships with leading companies, including tech giants and financial institutions. These experiences not only bolster the student's resume but also provide a glimpse into potential career pathways. Graduates of this program are well-prepared to enter diverse sectors such as finance, healthcare, technology, and more, where they can assume roles like data scientist, data analyst, product manager, and many others.
As the demand for professionals in data science continues to rise, graduates from the University of Sydney can expect strong job outcomes and competitive salaries. The median base salary for graduates is approximately AUD 90,000, with many alumni successfully securing positions in prestigious organizations. With the university's robust alumni network, students have access to mentorship and career guidance from those who have tread the path before them, further enhancing their job readiness.
Additionally, the program distinguishes itself with unique features, including a focus on ethical data practices and data storytelling, which are becoming increasingly important in today's data landscape. This ensures that graduates not only possess technical capabilities but also understand the implications of their work on society and can communicate their findings effectively to non-technical audiences. As global leaders in data science education, the University of Sydney aims to cultivate responsible and innovative thinkers who can contribute positively to the world.
Why Study Master's in Data Science at University of Sydney
- Top-ranked institution: The University of Sydney is ranked 38th in the QS World University Rankings, ensuring a high-quality education.
- Diverse curriculum: The program offers a well-rounded curriculum covering essential areas of data science, programming, and business intelligence.
- Experienced faculty: Learn from industry leaders and academic experts who bring real-world experience into the classroom.
- Research opportunities: Engage in meaningful research projects and gain access to state-of-the-art facilities and resources.
- Strong industry connections: Benefit from internships and job placement opportunities through the university's extensive networks.
- Alumni success: Join a thriving network of alumni who have established successful careers in diverse fields.
- Emphasis on ethics: Gain insights into the ethical implications of data science and develop skills in data storytelling.
To be eligible for the Master's in Data Science at the University of Sydney, applicants must have a relevant undergraduate degree, along with a strong academic record. Additionally, proficiency in English is required, with accepted tests including TOEFL (minimum score of 85), IELTS (minimum score of 6.5), and PTE (minimum score of 61). Candidates are also required to submit key documents, such as transcripts, resumes, and academic letters of recommendation as part of their application.
In conclusion, the Master's in Data Science program at the University of Sydney not only prepares students for successful careers but also empowers them to make impactful contributions to the field of data science. With its comprehensive curriculum, experienced faculty, and strong industry connections, this program stands as a beacon for those aspiring to thrive in the dynamic world of data.

Duration
18 Months

Median Salary
$90,000
Ranking
#28
US World and News Report
#58
The World University Rankings
#38
QS World University Rankings
Class Profile

Class Size
200

Average Age
25

Average Work Experience
3 Years
Diversity
Others:
2%New South Wales:
30%Victoria:
20%Queensland:
15%Western Australia:
10%South Australia:
5%Tasmania:
2%Career Outcomes

Median Earnings After Graduation
$90,000 / year
Prospective Job Roles
Statistician
Product Manager
Research Scientist
Software Engineer
Data Engineer
Teacher
Entrepreneur
Data Visualization Specialist
Data Analyst
Quantitative Analyst
Data Scientist
Business Analyst
Journalist
Data Storyteller
Researcher
Writer
Consultant
Machine Learning Engineer
Top recruiters


















Eligibility Criteria
English Proficiency Tests
TOEFL
85
IELTS
6.5
PTE
61
Application Requirements
Here's everything you need to know to ensure a complete and competitive application—covering the key documents and criteria for a successful submission.
Transcript
Academic LOR
Resume
Application Deadlines
Fees and Funding

Tuition Fees
$50,500 / year
Funding Options
External Sources - Scholarships
Department Funding
Scholarships
Data Science Institute
FAQs
- A student can complete Data Science at University of Sydney with in 18.
- The deadline to submit an admission application for Data Science at University of Sydney is Application deadline Term 2 (Final Deadline) - date - 25/06/2023 ,Application deadline Term 1 (Final Deadline) - date - 15/01/2024
- The application fee to pursue Data Science at University of Sydney is AUD 150 for international students.
- The annual tuition fee to pursue Data Science at University of Sydney is AUD 50500.
- The submission of these scores mainly depends on the type of degree/ course selected at the University of Sydney. For example, the GMAT test is required to take admission to an abroad graduate management program, the LSAT is required during an abroad Law School admission process, and more. Therefore, check University of Sydney requirements before submitting a score.
- Data Science can help Indian/ international students gain: 1. Quality and Practical Education 2. Global Recognition 3. International Exposure 4. Amazing Job Opportunities 5. Experience of Lifetime and more
- If a student fulfils all the eligibility criteria and admission requirements of University of Sydney, they can easily pursue Data Science. The basic eligibility criteria include the following: 1. A GPA above 3 2. Well-written Statement of Purpose 3. An impressive Letter of Recommendation 4. A Work Experience Certificate (if required) 5. A Statement of Financial Proof 6. Academic Transcripts 7. Valid Visa, etc.
- An MS degree at University of Sydney can usually be completed in 2 years. However, many universities offer a 1-year master’s specialisation as well. You can explore the official University of Sydney website to check the course/ degree duration.
- One can apply for scholarships to pursue their international education at University of Sydney by: 1. Looking for country-specific scholarships by contacting the specific scholarship institutions. 2. Applying to or finding out if any subject-specific scholarships are available from the university website/ department.
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