QS Rank:

37

University of Melbourne

Victoria
,Australia

Program Name
Master of Science in Data Science

Deadline
November 30th, 2023
Overview

The Master of Science in Data Science program at the University of Melbourne is an exceptional opportunity for students aiming to harness the power of data in today’s technology-driven world. This comprehensive program spans 24 months and is structured to equip students with both theoretical knowledge and practical skills in data science and business intelligence. With a robust curriculum designed to address the evolving demands of the industry, students will engage with core concepts such as machine learning, data visualization, and big data analytics. This program not only emphasizes essential programming languages and statistical techniques but also integrates business acumen, preparing graduates for a wide array of career paths in data-centric roles.
Throughout the program, students have access to a diverse range of courses that provide in-depth knowledge and skills. The curriculum includes vital topics such as Applied Statistics, Database Systems, and Practical Machine Learning. In addition to these foundational courses, students are encouraged to engage in specialized electives that further enhance their learning experience and allow them to tailor their education to specific interests. Whether it's focusing on data architecture, data engineering, or business intelligence strategies, the flexibility of the program ensures that each student can carve out their own niche in the vast field of data science.
Moreover, the University of Melbourne provides students with access to a wealth of resources and opportunities for research. The Faculty of Science is renowned for its commitment to innovation and is home to leading researchers in the field of data science. Students have the opportunity to participate in groundbreaking research projects, which not only enrich their academic experience but also enhance their employability upon graduation. The university actively encourages collaboration between students and faculty, fostering an environment conducive to intellectual growth and the exploration of new ideas.
The program also emphasizes industry connections and internship possibilities. The University of Melbourne maintains strong ties with various industries and organizations, ensuring that students have access to real-world experiences that complement their academic learning. Internships and collaborative projects with industry partners provide invaluable exposure, allowing students to apply their knowledge in practical settings and network with professionals in the field. This connection to industry leaders not only enhances learning but also significantly improves job placement rates for graduates.
Career pathways for graduates of the Master of Science in Data Science are incredibly diverse and rewarding. Alumni have successfully transitioned into prominent roles such as Data Scientist, Data Analyst, Software Engineer, and Machine Learning Engineer. The median base salary for graduates is approximately AUD 105,000, reflecting the high demand for skilled data professionals. Notably, graduates have found career opportunities in sectors such as finance, healthcare, education, and technology, demonstrating the versatility and relevance of the skills acquired during the program.
With a strong track record of alumni success stories, the University of Melbourne proudly highlights numerous graduates who have made significant contributions to their fields. Testimonials from former students showcase how the program has transformed their careers, enabling them to take on leadership roles and drive innovation within their organizations. This network of successful alumni serves as a testament to the program's effectiveness and the quality of education provided.
Why Study Master of Science in Data Science at University of Melbourne
- Comprehensive Curriculum: The program features a well-rounded curriculum that combines theoretical knowledge with practical skills essential for a successful career in data science.
- Expert Faculty: Learn from world-renowned professors and industry practitioners who bring real-world experience and cutting-edge research into the classroom.
- Research Opportunities: Engage in innovative research projects that contribute to the advancement of data science and technology, enhancing your learning and expertise.
- Industry Connections: Benefit from strong partnerships with leading organizations that provide internship opportunities and real-world experience.
- Diverse Career Pathways: Graduates have a high employment rate and enter various sectors, ensuring a wealth of job opportunities post-graduation.
- Global Alumni Network: Join a thriving network of successful alumni who can provide mentorship, guidance, and professional connections throughout your career.
The Master of Science in Data Science at the University of Melbourne is a program that not only prepares you for the demands of a data-driven world but also empowers you to make a meaningful impact in your chosen field. With a focus on innovation, research, and industry collaboration, this program stands out as a premier choice for aspiring data professionals.
To be eligible for this program, applicants must meet specific requirements. Candidates are required to submit official transcripts, a resume, and an academic letter of recommendation. Additionally, non-native English speakers must demonstrate proficiency through standardized tests such as IELTS, TOEFL, or PTE, with minimum scores set to ensure candidates can succeed in the program.
With the application deadline set for November 30th, 2023, prospective students are encouraged to prepare their applications ahead of time to secure a spot in this prestigious program.

Total Tuition Fees
$80,622

Duration
24 Months

Median Salary
$1,05,000
Ranking
#25
US World and News Report
#33
The World University Rankings
#37
QS World University Rankings

Intake
Winter ( Jan - Mar )
Class Profile

Class Size
50

Average Age
25

Average Work Experience
2 Years
Diversity
Asia:
25%Africa:
5%Oceania:
5%Europe:
20%North America:
15%South America:
10%Others:
20%Career Outcomes

Median Earnings After Graduation
$1,05,000 / year
Prospective Job Roles
Statistician
Product Manager
Research Scientist
Software Engineer
Data Engineer
Teacher
Entrepreneur
Data Visualization Specialist
Data Security Specialist
Data Analyst
Quantitative Analyst
Data Scientist
Business Analyst
Data Architect
Researcher
Data Science Manager
Consultant
Machine Learning Engineer
Top recruiters

















Eligibility Criteria
English Proficiency Tests
IELTS
6.5
TOEFL
79
PTE
58
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
Standard Deadline | Late | |
---|---|---|
Winter | Oct 31, 2023 | Nov 30, 2023 |
Fees and Funding

Tuition Fees
$80,622 / year

Overall Cost
$1,84,110 / year
Funding Options
External Sources - Scholarships
Department Funding
To apply, submit a complete application for admission within a few weeks of the priority deadline for best results.
Scholarships
The University of Melbourne offers a variety of scholarships for students pursuing a Master of Science in Data Science. These scholarships are based on academic merit, financial need, or a combination of both. The university also offers a number of scholarships from external organizations, such as the Australian Government and the National Science Foundation.
FAQs
The application fee to pursue Data Science at University of Melbourne is AUD 100 for international students.
The annual tuition fee to pursue Data Science at University of Melbourne is AUD 50053.
The submission of these scores mainly depends on the type of degree/ course selected at the University of Melbourne. 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 Melbourne 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 Melbourne, 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 Melbourne 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 Melbourne website to check the course/ degree duration.
One can apply for scholarships to pursue their international education at University of Melbourne 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.
A student can complete Data Science at University of Melbourne with in 24.
The deadline to submit an admission application for Data Science at University of Melbourne is Application deadline Winter (Standard Deadline) - date - 31/10/2023 ,Application deadline Winter (Late) - date - 30/11/2023
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