Top 10 Colleges for Master of Data Science in Australia
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Table of Contents
- 1. University of Melbourne
- 2. The Australian National University
- 3. The University of Sydney
- 4. University of New South Wales (UNSW)
- 5. Monash University
- 6. RMIT University
- 7. University of Adelaide
- 8. Deakin University
- 9. Swinburne University of Technology
- 10. La Trobe University
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Do you know that data scientists are among the most sought-after professionals in the world today, with their expertise in high demand across various industries? In our data-driven world, where over 2.5 quintillion bytes of data are created every day, the need for skilled data scientists is ever-increasing.
In fact, the field of data science has grown exponentially in recent years, and Australia has emerged as a hub for quality education in this domain. So, are you ready to explore the top educational institutions for Master of Data Science programs in Australia? Let's begin!
1. University of Melbourne
The University of Melbourne is one of the best universities for data science in Australia, offering a Data Science program that combines rigorous academic training with practical skills. With a strong emphasis on research and industry connections, students at Melbourne have access to cutting-edge resources and a dynamic learning environment.
Fees |
Domestic students - approximately AUD 29,500 per year (INR 15,46,870) International students - approximately AUD 39,330 per year (INR 20,61,945) |
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Eligibility |
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Duration |
2 years |
Placements |
The University of Melbourne has strong connections with industry partners, providing ample opportunities for internships and real-world experience. |
2. The Australian National University
The Australian National University (ANU) is highly regarded for its commitment to innovation in the field of data science. ANU's Master of Data Science program is known for its comprehensive curriculum and access to state-of-the-art technology, providing students with a solid foundation in data analysis and machine learning.
Fees | Domestic Students - AUD 31,000 to AUD 40,000 per year (INR 20,96,996) International Students - approximately AUD 48,830 per year (INR 25,90,000) |
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Eligibility |
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Duration | 2 years for full-time study |
Placements | ANU fosters industry collaborations and internships, enhancing students' employability. |
3. The University of Sydney
The University of Sydney stands out not only for its academic excellence but also for its vibrant campus and diverse student community. The Master of Data Science program at Sydney offers students a rich cultural experience and ample networking opportunities to thrive in the data science field.
Fees | Domestic Students - AUD 40,000 per year (INR 20,99,258) International Students - approximately AUD 48,000 per year (INR 25,19,076) |
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Eligibility |
|
Duration | 1.5 - 2 years |
Placements | The University of Sydney maintains strong links with the data science industry and provides internship opportunities. |
4. University of New South Wales (UNSW)
University of New South Wales (UNSW) is a leader in data science education, thanks to its strong connections with industry. UNSW's Master of Data Science program offers students real-world insights and practical experience, making them well-prepared for the data-driven world.
Fees | Domestic Students - AUD 34,900 per year (INR 18,31,602) International Students - approximately AUD 47,250 per year (INR 24,79,748) |
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Eligibility |
|
Duration | 2 years for full-time students |
Placements | UNSW's strong industry connections result in many networking opportunities and placements. |
Also, read: All You Need To Know About Data Scientist Salary in Australia in 2023
5. Monash University
Monash University is known for its nurturing and supportive learning environment. Students pursuing a Master of Data Science at Monash benefit from a wide range of resources and hands-on training, ensuring they develop practical skills that set them apart in the industry.
Fees | Domestic Students - AUD 28,800 per year (INR 15,11,465) International Students - approximately AUD 38,900 per year (INR 20,41,528) |
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Eligibility |
|
Duration | 1.5 - 2 years for full-time study |
Placements | Monash provides access to an extensive network of industry partners, increasing students' employability. |
6. RMIT University
RMIT University is renowned for its practical and industry-focused approach to data science education. The Master of Data Science program equips students with the skills and knowledge required for a successful career in data analysis, making them highly sought after by employers.
Fees | Domestic Students - AUD 33,600 per year (INR 17,63,376) International Students - approximately AUD 39,360 per year (INR 20,65,669) |
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Eligibility |
|
Duration | 2 years for full-time study |
Placements | RMIT University has strong industry ties and a dedicated careers service that helps students connect with potential employers. |
7. University of Adelaide
The University of Adelaide is celebrated for its commitment to cutting-edge research and innovation. The Master of Data Science program at Adelaide offers students opportunities to engage in real-world projects and gain valuable insights into the latest trends in the data science field.
Fees | Domestic Students - AUD 43,500 per year (INR 22,82,943) International Students - approximately AUD 51,000 per year (INR 26,76,553) |
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Eligibility |
|
Duration | 2 years for full-time students |
Placements | The University of Adelaide collaborates with various organizations, enhancing students' employability through internships and real-world projects. |
8. Deakin University
Deakin University is a preferred choice for students looking to enhance their employability in data science. The Master of Data Science program at Deakin emphasizes industry connections and practical experience, including internships and collaborative projects.
Fees | Domestic Students - approximately AUD 33,400 per year (INR 17,52,880) International Students - AUD 39,000 per year (INR 20,46,776) |
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Eligibility |
|
Duration | 1 - 2 years |
Placements | Deakin University offers practical experience through internships and research projects in collaboration with industry partners. |
9. Swinburne University of Technology
Swinburne University of Technology is known for its strong engagement with industry partners. Students in the Master of Data Science program at Swinburne have numerous opportunities for internships and real-world collaboration, ensuring they are job-ready upon graduation.
Fees | Domestic Students - AUD 30,640 per year (INR 16,08,031) International Students - AUD 41,240 per year (INR 21,64,335) |
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Eligibility |
|
Duration | 2 years for full-time study |
Placements | Swinburne has a strong emphasis on industry engagement, providing opportunities for internships and collaborative projects. |
10. La Trobe University
La Trobe University is popular for its hands-on approach to data science education. The Master of Data Science program at La Trobe offers students the chance to work on industry projects, providing them with practical experience and research opportunities in the data science domain.
Fees | Domestic Students - AUD 34,600 per year (INR 18,15,858) International Students - approximately AUD 38,160 per year (INR 20,20,000) |
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Eligibility |
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Duration | 2 years for full-time students |
Placements | La Trobe University offers students opportunities for internships and research projects with industry partners to gain practical experience. |
Remember, the world of data science is ever-evolving, and these institutions are at the forefront of this transformation. The skills and knowledge you acquire during your Master of Data Science program will not only be valuable but also highly sought after. Your education in Australia can be the gateway to a world of opportunities and these universities are your partners in this exciting journey.
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For personalized guidance and support in your pursuit of a Master of Data Science Course in Australia, consider consulting experts at ÿմ. Our experts provide valuable insights and assistance tailored to your unique aspirations, helping you navigate the path to a rewarding career in data science.
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