Introduction:
Masters in Data Science courses are in high demand in Australia, with reports indicating that data scientists make nearly three times the national average. In fact, a recent survey by the Institute of Analytics Professionals of Australia (IAPA) revealed that top data science executives earn close to $300,000 per year.
Given these facts, it is not surprising that there is a high demand for the Masters in Data Science courses offered by a number of prestigious universities in Australia.
According to PayScale, the average annual compensation for a data scientist in Australia is AUD 98,000 (INR 53,56,930). According to the most recent QS World University Rankings, numerous Australian universities are placed among the top 100 globally in computer science and information systems.
Masters in Data Sciences is a hands-on course that teaches you how to use data science in the real world. This postgraduate course provides a thorough overview of diverse data science tools and techniques, including data analysis, natural language processing, data warehousing, machine learning, predictive modelling, and statistics. The program is provided at some of Australia’s premier educational institutions, in both full-time and part-time modes, and normally lasts two years. Because of the program’s practical orientation, alumni can expect good work opportunities after graduation. International students applying for this program might potentially benefit from the many scholarships available.
Do you envision yourself becoming a data scientist in five years’ time? Contact our Australian education experts to help you choose the right university for a data science program.
In this blog, we have brought about the best data science universities in Australia, the best data science master’s programs, the qualifying requirements for each, and much more. So, go browsing!
Introduction:
Masters in Data Science courses are in high demand in Australia, with reports indicating that data scientists make nearly three times the national average. In fact, a recent survey by the Institute of Analytics Professionals of Australia (IAPA) revealed that top data science executives earn close to $300,000 per year.
Given these facts, it is not surprising that there is a high demand for the Masters in Data Science courses offered by a number of prestigious universities in Australia.
According to PayScale, the average annual compensation for a data scientist in Australia is AUD 98,000 (INR 53,56,930). According to the most recent QS World University Rankings, numerous Australian universities are placed among the top 100 globally in computer science and information systems.
Masters in Data Sciences is a hands-on course that teaches you how to use data science in the real world. This postgraduate course provides a thorough overview of diverse data science tools and techniques, including data analysis, natural language processing, data warehousing, machine learning, predictive modelling, and statistics. The program is provided at some of Australia’s premier educational institutions, in both full-time and part-time modes, and normally lasts two years. Because of the program’s practical orientation, alumni can expect good work opportunities after graduation. International students applying for this program might potentially benefit from the many scholarships available.
Do you envision yourself becoming a data scientist in five years’ time? Contact our Australian education experts to help you choose the right university for a data science program.
In this blog, we have brought about the best data science universities in Australia, the best data science master’s programs, the qualifying requirements for each, and much more. So, go browsing!
Advancements in science and technology create both opportunities and problems for any organisation. It takes complex methods and skilled persons to grasp these processes, which aids in providing appropriate solutions for transferring the style of functioning. In fact, every minute, a vast amount of data is generated for various operations that aid in the resolution of a wide range of business issues. Universities in Australia provide such knowledge and expertise through an excellent curriculum of data science programmes.
This is not all; there are several compelling reasons to pursue a Masters of Data Science in Australia. Here’s a glimpse:
Academic excellence: A Master of Data Science course typically lasts between one and two years, and it is primarily based on the student’s prior education and study experience. Pursuing data science in Australia is worthwhile mostly because of its academic quality in all critical areas. You’ll become acquainted with the full scope of mathematics and computing in connection to data handling.
Worthy Master’s Degree: Australia is one of the most popular study locations, having pioneered many well-known programmes. Enrollment in Master of Data Science programmes has increased significantly in recent decades, and the degree is now widely recognised around the world by top employers.
Plenty of work opportunities: After completing data science degrees, students can pursue professions in a variety of industries. Yes, Australia is prepared to provide international students with jobs with rising salaries.
Financial Aid: There are approximately 1000 scholarships available for individuals wishing to pursue a Masters in Australia. Do not be concerned about the costs associated with pursuing a Master’s degree in data science. The Australian government and institutions are eager to assist you with your educational goals.
Given the multitude of options, selecting Australia’s best Data Science institutions may be tough. Consider the following factors while making your decision:
Reputation: Look for colleges with a strong national and worldwide reputation in data science. This can give you an advantage when looking for work once you graduate.
Curriculum: Examine the curriculum for the data science programme to ensure that it covers the areas and qualities you’re interested in studying. Seek out classes that offer both academic and practical teaching.
Teaching Staff: Examine the credentials and backgrounds of the professors who teach data science courses. Look for colleges that have knowledgeable teachers who are actively engaged in research and industry relationships.
Industry Partnerships: Look for colleges that have strong corporate partnerships. This may lead to networking opportunities, internships, and post-graduate employment.
Learning Resources: Consider the resources available at the institution, including as libraries, cutting-edge research facilities, and access to cutting-edge technology.
Location: Consider the university’s location and whether it is in a town or city that interests you.
Cost: Consider the entire cost of living and tuition, as well as any prospective university scholarships or financial help programmes.
You may choose the best data science university in Australia for your future ambitions by considering these factors as you narrow down your choices!
Australian Universities | Study Programs | QS World Ranking 2024 |
Master of Information Technology (Data Science) | #19 | |
Master of Data Science | #43 | |
Master of Data Science | #42 | |
Master of Data Science | #140 | |
Master of Data Science | #89 | |
Master of Data Science | #233 | |
Master of Data Science | #285 | |
Master of Data Science | #242 |
Eligibility criteria are the most perplexing aspect of applying abroad, agree? The top data science institutions in Australia may have varying standards for overseas applicants, but the following are the general requirements:
Academic Standards: To be admitted to the Data Science programme, international students must meet certain academic requirements. A bachelor’s degree or similar qualification in a relevant subject, such as mathematics, computer science, engineering, or statistics, is typically necessary. Certain colleges may also need a minimum grade point average (GPA).
English Language Proficiency: International students whose first language is not English must take an English language proficiency exam, such as the TOEFL or IELTS, to demonstrate their language abilities. There may be a minimum score requirement particular to each university.
Online Form: To apply to the Data Science programme, overseas students must complete an online form. It will require you to submit academic records, the results of an English language proficiency exam, and any further supporting evidence that the university may need.
Visa Requirements: To study in Australia, international students must meet visa requirements. This requires obtaining a student visa and meeting the Australian government’s standards for character and physical fitness.
Financial Requirements: International students must demonstrate that they have adequate money to cover their living expenses and tuition while studying in Australia. Evidence of financial assistance, such as bank statements or a letter announcing a scholarship award, could support this.
Career Prospects | Job Profiles | Average Salary (AUD) |
Data Analyst | Data analysts gather and analyse massive amounts of data to uncover patterns and trends that may be utilised to make business choices. | AUD 70,000 – 120,000 (INR 38,28,550 – 65,63,230) |
Data Scientist | Data scientists utilise statistical analysis and machine learning approaches to create predictive models and algorithms that may be applied to difficult issues. | AUD 90,000 – 150,000 (INR 49,22,420 – 82,04,040) |
Business Intelligence Analyst | Business Intelligence Analysts analyse and interpret data to provide insights and recommendations that help businesses make decisions. | AUD 80,000 – 120,000 (INR 65,63,230 – 43,75,490) |
Machine Learning Engineer | Machine Learning Engineers create, develop, and implement machine learning algorithms and models to automate and optimise commercial operations. | AUD 100,000 – 160,000 (INR 54,69,360 – 87,50,970) |
Big Data Engineer | Big Data Engineers create and develop data infrastructure and architecture to facilitate the processing and storage of huge datasets. | AUD 110,000 – 160,000 (INR 60,16,290 – 87,50,970) |
Data Architect | Data architects create and construct data models and architecture to facilitate data storage, administration, and retrieval throughout an organisation. | AUD 120,000 – 180,000 (INR 65,63,230 – 98,44,840) |
Statistician | Statisticians collect, analyse, and evaluate data to provide insights and suggestions that help businesses make decisions. | AUD 80,000 – 120,000 (INR 43,75,490 – 65,63,230) |
Database Administrator | Database administrators create, implement, and maintain databases so that data may be stored and accessed efficiently and securely. | AUD 90,000 – 130,000 (INR 49,22,420 – 71,10,160) |
In Australia, data science is getting more popular. According to an Australian Computer Society research, there will be a 79,000-worker deficit by 2025 as demand for data analysts and scientists grows at a 2.4% annual rate. This has opened up numerous exciting opportunities for qualified workers in this industry.
Hopefully, this blog has answered any questions you may have about getting a master’s degree in data science in Australia. Global Campus is ready to serve you at any point of your study abroad experience. From shortlisting universities and filling out applications to applying for loans and visas, our Global Campus consultants will guide you through the entire process.
Contact our study abroad experts today!
The average cost of studying Data Science in Australia varies per university and programme. International students can expect to pay between AUD 30,000 and AUD 50,000 each year in tuition costs.
Data Science is a fast growing subject in Australia, and graduates may expect to find numerous intriguing and well-paying job opportunities in a variety of industries. Job titles include Data Analyst, Data Scientist, Business Intelligence Analyst, Machine Learning Engineer, Big Data Engineer, Data Architect, Statistician, and Database Administrator.
No, the GRE is not necessary for admission to Australia’s leading universities for MS in Data Science, however, a good GRE score may add some weightage to the application.
Data Science tests innovative approaches for interpreting data. In Data Analytics, datasets are studied to identify solutions to problems.
In Australia, the MS in Data Science course lasts 1-2 years. However, the length of the courses varies depending on which university you choose.
Yes, a Masters in Data Science is a good way to acquire PR in Australia. However, it is also determined by the points you have earned through the Australian PR Points Calculator.
Data Science is a fast growing subject in Australia, and graduates may expect to find numerous intriguing and well-paying job opportunities in a variety of industries. Job titles include Data Analyst, Data Scientist, Business Intelligence Analyst, Machine Learning Engineer, Big Data Engineer, Data Architect, Statistician, and Database Administrator.
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