Australia is a top study-abroad location for Indian and international students in addition to being a fantastic vacation spot. Australia provides excellent instruction and education, as well as a good standard of living. Many students are considering pursuing a Master's in Data Science and Analytics in Australia due to the excitement (and, to an extent, overhype) around data science and big data. Data scientists may make up to AUD 200 000 per year, according to study research from the Institute of Analytics Professionals of Australia (IAPA). For those with experience in big data analytics, the employment environment in Australia is now highly attractive. The best universities in Australia not only provide top-notch instruction and training but are also extremely engaged in business and governmental partnerships, notably in the field of data science.
The subject of business analytics is also attracting a lot of attention. Business analytics uses statistics and data modeling to provide new business insights in a data-driven manner. Any student interested in programming or dealing with big data will find this combination of technology and business to be the best option for their course of study. The majority of the largest corporations and digital start-ups in the world employ business analytics to take advantage of any data-driven advantage for growth hacking. There are a wide variety of business analytics firms that provide their services on a consultancy basis, although some bigger enterprises might not have internal business analysts. More and more business schools are starting to offer a course in business analytics as a result of the growing demand for them in the technology industry.
Top 10 Best Universities in Australia for Data Science
1. University of Melbourne
Big data management and analysis are included in one coordinated track of the two-year curriculum. Programming, algorithms, mathematical modeling, statistics, and data mining are the main topics of the first year, whereas cluster & cloud computing, machine learning, and natural language processing are the main topics of the second year. The Melbourne program's potential for students to complete two Capstone projects in data science is another advantage.
International students who have earned at least a 65% in computer science, statistics, or data science are eligible for the program. IT and communications, scientific research, education, the health and medical sector, business and financial services, sales and marketing, engineering and mining, climate, energy & environment, and government all provide career prospects.
- Offered course: Master of Data Science
- Program costs: AUD $77,750 (average course cost in 2018: AUD $37,920 per year)
- Scholarships: For high-achieving overseas students, tuition-fee scholarships of up to 50% are offered.
2. Carnegie Mellon University
It's a post-graduate program that lasts 21 months and is available to both new graduates and working professionals. The degree is a hybrid of business and technology that includes a thorough information technology and management curriculum, 400 hours of required internship, and a capstone project in data analytics that is focused on industry needs.
It's a fantastic program for those looking to get cutting-edge expertise in data analytics and IT management. You will learn how technology affects company operations, strategy, and policy through this curriculum.
Data Mining, Data Warehousing, Programming, Statistics, E-Business, Information Systems, Finance, Big Data & Large Scale Computing, Internet of Things, etc. are only a few examples of core modules. Students can also select electives in supply chain management, consulting, economics, geography, NoSQL, distributed systems, and GIS.
CMU Australia has strong connections to the sector. Big companies like Microsoft, Amazon, Facebook, LinkedIn, Google, Oracle, GM, KPMG, IBM, HP, Citibank, Heinz, Boeing, and eBay, to mention a few, provide internship and career opportunities.
- Offered course: Business Intelligence & Data Analytics
- Program costs: AUD $93,360
- Scholarships: Depending on their academic performance, job history, test scores, and essays, overseas students may be eligible for scholarships covering up to 40% of their tuition.
3. University of Sydney
For students who want to hone their technical and analytical skill sets in data science, the one-year program is the best option. Advanced training in data mining, machine learning, and data visualization will be presented to the students. If you are interested in Natural Language Processing or Human-Computer Interaction, this is a terrific place to be. Excellent research facilities are available at the department and university, which also have strong linkages to business and government.
In addition to having a 4-year bachelor's degree in mathematics, engineering, or another quantitative subject with a minimum grade point average of 65%, prospective candidates must also have a foundational understanding of programming and data management. Students holding three-year bachelor's degrees must present proof of at least two years of full-time employment.
Instead of applying for a Master's degree, those with a three-year bachelor's degree can do so for a graduate diploma in data science. Students can acquire data science skills through the Graduate Certificate in Data Science, which also offers a route to the Master's program.
In terms of graduate employment, the University of Sydney ranks first in Australia and among the top 50 universities in the world.
- Offered course: Master of Data Science
- Program costs: AUD $41, 000
4. Deakin University
Deakin may not have the same reputation as schools like Melbourne or Sydney. But Deakin University's Master of Business Analytics program is a top-notch, business-focused curriculum. In addition, Deakin is among the top 300/350 colleges worldwide. In collaboration with companies including IBM, Microsoft, SAS, Altis Consulting, Deloitte, Ernst & Young, PBT Group, and PwC, Deakin's business analytics program was created.
This course has a strong practical focus and teaches you to a variety of widely used business intelligence and analytics technologies. You'll discover how to use cutting-edge modeling and solution methodologies as well as business analytics software products like IBM Cognos, IBM SPSS Modeler and IBM Watson, SAS Enterprise Miner, Microsoft Excel, and Tableau to address decision-making issues in the corporate world. Additionally, IBM, Microsoft, and SAS all provide analytics certification programs that students can choose from.
The degree can be earned in 18 or 24 months because of the curriculum's flexibility. Additionally, students must work with one of the industry partners on a capstone project.
Prospective students must hold a degree in a relevant field. Students from any subject who have at least three years of full-time job experience can also apply.
- Offered course: Master of Business Analytics
- Program Fees: $31, 600 AUD annually
- Scholarships: International students can apply for competitive scholarships to help pay for tuition, living expenses, and textbooks.
5. University of Queensland
It's one of Australia's top programs for learning data science. A cross-disciplinary education, immediate industry interaction, and hands-on experience in the fascinating subject of data science are all included in the 1.5-year program. Students will have a solid knowledge of theoretical ideas and real-world applications, and they will have the chance to work on two capstone projects that are centered on businesses in their final year. A broad variety of electives in the areas of business, finance, health, science, and biotechnology are available to students in addition to advanced subjects in data science, analytics, machine learning, computers, statistics, and mathematics.
The School of Information Technology and Electrical Engineering offers the course. The institution has a top-notch Big Data infrastructure that works closely with businesses on several commercial initiatives.
- Offered course: Master of Data Science
- Program Costs: AUD 42,250 annually
- Scholarships: The university offers scholarships to qualified and distinguished applicants.
6. University of New South Wales
Students can work in a variety of professions thanks to the comprehensive IT education and particular skills they receive from the two-year Master's degree. It is appropriate for individuals with little to no prior computer experience as well as those with a bachelor's degree in computing who wish to develop a deeper understanding or specialize in a particular field. Students who pursue an IT master's degree at UNSW may choose two of the following specializations:
- Artificial intelligence (AI)
- Bioinformatics
- The Database Systems
- E-Commerce Systems
- Geospatial
- Engineering & Data Science
- Internet access
The bulk of outstanding machine learning research in New South Wales is made possible through a unique partnership between UNSW and NICTA.
As a result of this arrangement, NICTA researchers are eligible to apply for Ph.D. students through UNSW as adjunct researchers. In truth, these students only receive their UNSW credentials because they complete their whole Ph.D. program at a NICTA office. Additionally, UNSW is home to a renowned artificial intelligence research team led by Professor Claude Sammut, a multiple RoboCup champions.
- Offered course: MSIT with Specialization in Data Science & Engineering
- Program Costs: $92, 500 AUD
7. RMIT University
RMIT routinely rates as one of Australia's best institutions, and its Data Science program is unquestionably strong. It is a 2-year full-time master's degree program that integrates analytics and computer science and focuses on corporate strategy, governmental planning, and commercial decision-making.
A strong foundation in computer science and statistics—two fundamental abilities required of any data scientist—is built throughout the first year of the program. The second year also involves a major project, which can be completed either off-campus as an industrial internship or while working on an industry or research project while stationed on campus.
It's a terrific incentive that students and recent graduates may join the Institute of Analytics Professionals of Australia (IAPA). Additionally, the program has strong industrial ties to both Australia and other countries.
The lab applies text, user, and data analytics research to industry-driven projects that solve issues and provide efficiencies in important fields like health, logistics, smart cities, environment, and security. The program was initially launched as a joint initiative between RMIT University and National ICT Australia (NICTA), now known as Data61. There is also a Master of Analytics program offered by RMIT.
- Offered course: Master of Data Science
- Program costs: AU $65 280
- Scholarships: Financial aid is provided to cover educational costs as well as living costs.
8. LaTrobe University
The one-year Master's program offers a distinctive blend of practical applications and technical knowledge. Students have the option of majoring in either analytical science, big data, or bioinformatics.
In addition to several specialized advanced subjects like big data high-performance programming, computational intelligence for analytics, cloud system development, analysis of repeated measures data, meta-analysis, and bioinformatics technologies. Each major consists of a core group of advanced courses in computer science and mathematics/statistics.
Additionally, there are chances for projects and placements that are industry-based. For students who have not come from a quantitative background, the LaTrobe curriculum is excellent.
- Offered course: Master of Data Science
- Program costs: $34,000 AUD
9. University of Western Sydney
It is a two-year degree that emphasizes application and places a big focus on arithmetic, statistics, and computing. Programming, Data Science, Big Data, Data Visualization, Advanced Statistics, and Predictive Analytics are all topics covered in the first year of the curriculum. The second year is devoted to specialized courses including Genomic Data Science and Social Media Intelligence as well as Machine Learning. The students will also work on two academic projects in addition to their electives.
- Offered course: Master of Data Science
- Program Costs: $30, 250 AUD annually
10. Monash University
It's a top-notch program in Australia for a master's in data science. The fact that this curriculum is accessible to students with backgrounds in science, engineering, the arts, and business is its strongest feature. The length of the curriculum might be 1, 1.5, or 2 years, depending on the student's background, expertise, and talents.
- Offered course: Master of Data Science
- Program costs: AUD$38, 300 annually
- Scholarships: There are several, generous scholarships available to pay for tuition and other costs.
Conclusion
Please note that Australia has somewhat higher than average course and living costs. Just as in every other nation, there are a certain number of full scholarships available. Therefore, having the option to work after graduation is essential. Only those overseas students who successfully finish a two-year program are eligible for the post-study employment permit in Australia. Therefore, unless the company funds the students—which does happen in the case of highly experienced and qualified professionals—those who enroll in programs that are 16, 18, or 21 months in length suffer a major disadvantage.
So, by all means, choose a 2-year program if you intend to work in Australia after earning your Master's. Without a doubt, top-notch degrees are offered at institutions like Monash (Business Analytics), CMU Australia, or Queensland. A 2-year program at a low-ranked institution is always preferable to choose one of these schools, especially if you are receiving a sizable scholarship. Additionally, these colleges have excellent connections with the business. In light of this, corporations can fund highly competent data scientists and big data analytics workers.
In addition, please be aware that Australia lags behind North America, Asia, and Europe in terms of data science and big data applications. But it's not a large enough problem to stop you from studying for an Australian master's degree in data science and analytics.
