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Masters in Data Science in Australia

Highlights of Studying Masters in Data Science in Australia

  • 10+ Australian universities offer masters in data science.

  • Salary 3X higher than the national average, ranging up to AUD30,000.

  • five masters in data science Australian universities among the top 50 worldwide universities.

  • The Australian data science market witnesses a 2.4% annual growth rate.

  • Increase of around 38,000 employees in the field annually.

  • Tremendous career growth scopes.

  • Australian data science master's degree is recognised across the world.

  • 1000+ scholarships available for masters in data science students.

Recognitions

Masters in Data Science in Australia

MS in data science in Australia is one of the most sought-after higher education programs in the present times. With major data overloads being created in different organisations every day, it has become crucial for companies to hire competent and skilled data scientists with the ability to analyse and handle data and make successful business decisions. Hence, it is quite evident that taking up masters in data science in Australia can help you pursue some of the best career profiles, further upgrading your earning potential.

Australia data science masters is a top choice for graduates, and combined with the superior quality Australian education system, it becomes an unbeatable study program. This is a 2-year master's program offered by most universities in Australia, with the core subjects revolving around computing and mathematics. The course helps to build real-world data science skills in students while also offering them an in-depth understanding of different data science techniques and tools, like Natural Language Processing, Data Analytics, Machine Learning, Data Warehousing, Statistics and Predictive Modeling. Upon course completion, candidates can expect some of the highest-paying career opportunities because of the course's practical nature.

Study masters data science in Australia to gain the required skills in analysing data and extracting useful insights that can further help you support the growth of the organisation you are working for. Your knowledge of the data science field can also help you transform your findings as a data scientist into reports or presentations that can be understood by general audiences and clients easily. Take up this course if you love mathematics, computing and statistics. Your chances of success are high if you have an analytical mind coupled with proper attention to detail and problem-solving skills.

While popular specialisations in this field include Data Mining, Data Engineering, Database Management, Cloud Computing and Data Visualisations, you can expect to gain good skills in using different programming languages, like R, Python, SAS, C, Java, Scala and SQL. Other skills that you may grab during the course include communication, creative thinking, analytical mindset, teamwork and patience. As a graduate of a master's of data science in Australia, you can find career scopes in almost all industries, with popular profiles being database developer, data scientist, data engineer, data analyst, cloud architect, business analyst, machine learning engineer and data strategist.

To know more about masters in data science in Australia, rely on the updated information available from our study experts at GoAustralia.

Masters in Data Science in Australia
Masters in Data Science in Australia

Scope of Masters in Data Science in Australia

Upon graduating, there is a huge scope of data science in Australia, specifically for those candidates who fetch good scores throughout their academics. Your sound knowledge of computing and statistical methodology will equip you for one of the best careers in the field of data science while also helping you evolve as the field of data science evolves from time to time. For the uninitiated, masters in data science are in huge demand in Australia, with reports claiming that data scientists earn around three times more than the national average salary. Also, a recent survey by the IAPA or Institute of Analytics Professionals of Australia states that the top data science professionals in the country earn around $300,000 every year.

Job opportunities after masters in data science in Australia are available in consulting firms, financial services companies, government organisations, telecommunication companies, IT firms, public research institutions and universities. Career prospects of data science in Australia abound, with the graduates working at the highest-paying positions in companies. Popular career profiles include data scientist, data analyst, data infrastructure engineer, software engineer, statistician and business intelligence analyst. Since the field of data science is constantly evolving, graduates can also be employed in titles such as research scientist, data miner, analytics specialist, data architect, web analyst, analytics programmer, management advisor, analytics manager, strategist, analytics consultant, market research analysts, marketing specialists, risk analyst, supply chain analyst, big data manager, actuarial consultants and portfolio manager.

Nevertheless, the best careers to consider after completing your master's in data science in Australia are data modellers or, architects and statisticians. That's because the salary range for these career profiles is huge, and there are good scopes of growth in this field as well. As a statistician, you need to analyse data and create interpretations and projections. You will also play an important role in producing statistical inferences based on available or collected data within an organisation. Conversely, as a data architect or modeller, you need to use data for modelling situations and finding the best results. You also need to build IT-facing and statistical systems to model current operations and solve numerous problems.

The past decade has seen an exponential increase in the demand for data expertise, and this is only set to grow further with an overload of AI and big data. So, taking up a master's in data science in Australia is probably a good idea as it offers you the required skills to pursue an internationally mobile career.

For more information about career profiles you can pursue after your master's in data science in Australia, consult the study experts at GoAustralia.

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Masters Courses in Data Science in Australia

Top masters in data science courses in Australia feature professional skills subjects, such as core computer science and scientific communication. Data science masters programs in Australia include the latest in machine learning, data visualisations and data mining with a major focus on developing the skills required to communicate crucial data insights within organisations. While the master of data science course in Australia is the perfect combination of tutorials, lectures, project work, practical classes, seminars and project work, students also get to visit different companies during their course to advance their knowledge of data science, data organisation, analysis and manipulation.

Major specialisations available with a postgraduate program in data science in Australia include:

Applied Data Analytics

  • Data Science & Decisions
  • Data Science and Innovation
  • Computer Science with a major in Data Science
  • Data Science in Quantitative Finance
  • Data Analytics
  • Science (Extension)
  • Information Technology
  • Digital Health
  • Artificial Intelligence
  • Data Analytics and Information Systems Management
  • Big Data Management
  • Predictive Analytics
  • Research Methods
  • Data Visualisation
  • Customer Analytics in Large Organisations
  • Advanced Analytic Techniques 1 & 2
  • Social Media Data Analytics

For more information on masters in data science courses in Australia and for help and support with course selection, you can always depend on the expertise of the study counsellors at GoAustralia.

Find the list of all masters courses in data science in Australia below:

Top Universities for Masters in Data Science in Australia

The top universities in Australia for masters in data science are the perfect choice for international students looking to take up superior quality higher education abroad. That's because the masters in data science universities in Australia are known worldwide for their research, quality, affordability and welcoming environment. Top data science universities in Australia prepare international students for computer science, statistics, software development, database systems, information modelling and data processing and algorithms. As per the QS World Rankings, more than 10 Australian universities for masters in data science rank among the top 150 data science universities in the world.

As a master's student at the Australian colleges for data science courses, you will regularly mingle with leading researchers from popular universities, while seminars will also be an integral part of your learning procedure. Besides this, you also get the scope to network with students from across the world with similar interests. The universities also conduct several corporate events throughout the academic session, making it feasible for students to connect with employers and learn from professionals in the data science field. So, if you are looking to add a global, well-rounded experience to your master's degree, consider studying data science at an Australian university.

To know more about different Australian universities offering masters in data science and to make the right choice here, consult the study experts with updated information at GoAustralia.

Here is the list of top Australian universities for masters in data science:

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Data Science Curriculum in Australia

Masters in data science course outline in Australia consists of core statistics subjects, computer science subjects, elective subjects and data science projects. Note that your elective subjects will be customised as per your requirements based on your interests and previous academic background. The MSc data science in Australia syllabus includes prerequisite subjects like

  • Computational data analysis
  • Natural language processing
  • Open source tools and scripting
  • Data warehousing
  • Machine learning
  • Data science
  • Applied predictive modelling
  • Computing and statistics

Once you have taken care of all prerequisite subjects, you need to choose from a diverse list of masters in data science courses in Australia subjects to develop professional skills. These are basically electives that you can choose as per your academics and your interests. These include:

  • Spatial Data Management
  • Spatial Databases
  • Spatial Data Analytics
  • Information Visualisation
  • Analysis of High-Dimensional Data
  • Advanced Statistical Modeling
  • Mathematics of Risk
  • Optimisation for Industry
  • Practice of Statistics & Data Science
  • Stochastic Calculus with Applications
  • Advanced Probability
  • Random Processes
  • Bayesian Statistical Learning
  • Mathematical Statistics
  • AI Planning for Autonomy
  • Advanced Theoretical Computer Science
  • Algorithms for Bioinformatics
  • Computational Genomics
  • Constraint Programming
  • Cryptography and Security
  • Declarative Programming
  • Distributed Algorithms
  • Distributed Systems
  • Internet Technologies
  • Mobile Computing Systems Programming
  • Parallel and Multicore Computing
  • Programming Language Implementation
  • Natural Language Processing
  • Stream Computing and Applications
  • Knowledge Management Systems
  • Security Analytics
  • Computer Vision
  • The Ethics of Artificial Intelligence
  • Professional skills subjects
  • Science in Schools
  • Science and Technology Internship
  • Communicating Science at Work

For more information about the curriculum, talk to the GoAustralia study counselors now.

Entry Requirement for Masters in Data Science in Australia

International students should meet the entry requirements for master of data science in Australia to be considered eligible for admission into the course. The requirements include:

  • 4-year bachelor's degree or equivalent in the required field of student, mainly data science, statistics, computer science, economics, engineering, finance or physics.
  • Minimum average GPA score of 65% or 5.0 on a 7-point scale. Candidates with 550 or more in GMAT or GRE may also be considered eligible.
  • English language proficiency test scores of 6.5 in IELTS and minimum 65 in PTE.
  • A few Australian universities may also require work experience.

Once you meet the eligibility criteria for data science in Australia universities, gather all important documents to start with the admission application procedure. These include:

  • Academic transcripts of past education.
  • Identification proof
  • Statement of Purpose
  • Letter of Recommendation
  • CV or Resume
  • Prof of funds for higher education in Australia
  • English language test score results

Start with the application procedure early on and apply within deadlines for masters in data science at Australian universities to improve your chances of admission. The Australian universities offer two application intakes: one in February and the other one in July. For the February intake, the application deadline is August to October, and the July intake is February to March.

If you find the admission procedure for a masters in data science in Australia confusing or if you require help with SOP and LOR editing, rely on the expertise of our study experts at GoAustralia. With updated information about admission requirements at different Australian universities, they can offer you the best assistance.

The requirements for admission for masters in data science in Australia are as follows:

English Requirements for Masters in Data Science in Australia

International students from non-native English-speaking nations and those who have not had their past education in English need to meet the minimum English language requirements for masters in data science in Australia. International students can do this by undertaking any of the accepted English tests for masters in data science in Australia, which include IELTS or International English Language Testing System and PTE or Pearson Test of English.

Minimal English scores for master in data science in Australia include 6.5 in IELTS and 65-79 in PTE. You must achieve these required scores in a single sitting and also ensure that your scores are not older than two years as scores beyond two years may not be considered valid by the Australian universities for masters. Also, a few Australian universities may accept international students with slightly lower English language test scores, but the students need to undertake additional English as an integral part of their academic programs. Fetching required English language test scores is not mandatory for students coming from native English-speaking nations or those who have secured their past education in English. But despite this, international students must show evidence of their English proficiency when submitting their admission application forms.

To know more about English language requirements for masters in data science at different Australia universities, consult the qualified study counsellors at GoAustralia.

Following are the English language requirements for masters in data science in Australia:

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IELTS Requirements for Masters in Data Science in Australia

The IDP conducts IELTS to examine the English language proficiency of international students and is considered one of the best evidence for the same by most Australian universities. International students must meet the minimum IELTS score requirement for master of data science in Australia. While the IELTS score range for MSc data science in Australia is 0 to 9, international students need to score a minimum of 6.5 with at least 6.0 in each band of writing, reading, listening and speaking in English.

Also, note that the required IELTS score of top universities for data science in Australia may vary as per specialisation and chosen university. While it is absolutely desirable to fetch a score of 6.5 in the examination to be eligible for admission into any Australian university offering a master's in data science, a score above this may give you a competitive edge over other candidates seeking admission. You can even choose to pursue masters in data science in Australia without IELTS. For details about it, depend on the study consultants at GoAustralia. Due to our tie-ups with many Australian universities and colleges, we always provide you with the latest information about IELTS.

Here are the IELTS requirements for masters in data science in Australia:

PTE Requirements for Masters in Data Science in Australia

International students seeking a masters in data science in Australia need to meet the minimum PTE score requirement for master of data science in Australia, which is within the range of 65 to 79. The PTE test is one of the best options for candidates failing to achieve the required band scores to prove their English language proficiency in the IELTS examination. PTE, or Pearson Test of English, is another popular English language proficiency examination equally recognised in Australia and in other countries known for their higher education quality.

Recognised by several universities for masters in data science in Australia, the PTE test assesses the four important English language skills of the candidates: writing, reading, speaking and listening. Students who fetch the required PTE scores for master of data science in Australia are considered to have a good grasp of the English language and are capable of comprehending the master classes and lectures delivered in English in most Australian universities.

The test's computerised format ensures unbiased and accurate evaluations, offering a fair chance for the students to showcase their English language proficiency. However, note that the PTE scores of top universities for MS in data science in Australia may vary as per the specialisation chosen and also on the basis of the selected university.

For more information on PTE score requirements for masters in data science in Australia, rely on the qualified study counsellors at GoAustralia.

Find the PTE score requirements for masters in data science in Australia below:

Tuition Fee for Masters in Data Science in Australia

MS in data science in Australia tuition fees range between AUD35,000 and AUD89,000. Nevertheless, you must also factor in your annual cost of living in Australia when estimating the total cost of masters in data science in Australia for Indian students. This may come to around AUD24,000 annually.

Also, note that the tuition fee for this course may vary from one university to another, with the cheapest master of data science in Australia for International students available in Melbourne, where the tuition fee at most universities ranges between AUD38,400 and AUD48,832. While masters in data science tuition fees at the universities in Sydney may go up to AUD50,500, it may be AUD47,264 in Queensland and AUD 48, 500 in Adelaide. To ensure a smooth study experience, it is always advisable to be clear about the cost of studying masters in data science for Indian students in Australia and optimise your budget accordingly.

Coming to the cost of living in Australia, which is also an important inclusion in your cost of studying masters in the country, your estimates must include the cost of travelling, accommodation and necessities. The average cost of accommodation in Australia is AUD1,495, food costs AUD312, and ravelling expenses may come up to AUD150.

To manage these expenses, you can avail scholarships, but ensure you have clear information about the same. For 100% scholarship guidance and also to know more about your cost of studying and living in Australia, consult the study counsellors at GoAustralia. If you find these expenses and the tuition fee out of your budget, you can always apply for scholarships in Australia. For 100% scholarship guidance and to know more about the tuition fee for masters in data science in Australia, consult the study experts at GoAustralia.

Below, you will find the tuition fee for a masters in data science in Australia:

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Salary for Masters in Data Science in Australia

The average salary after masters in data science in Australia is AUD100,697, which is mainly for the position of a data scientist. Nevertheless, you can even take up varied career profiles that offer a good starting salary for master in data science in Australia. These include data analyst, business analyst, senior data analyst, machine learning engineer and senior data scientist.

Masters data science graduate salary in Australia ranges between AUD73,000 and AUD1,64,000, while freshers salary after master in data science in Australia may vary on the basis of the career profile you choose. The average salary for some popular careers after masters in data science in Australia is as follows:

  • Data analyst: AUD83,430
  • Senior data analyst: AUD111,284
  • Software engineer: AUD78,372
  • Senior data scientist: AUD137,468
  • Software developer: AUD14,651
  • Senior software engineer/developer: AUD164,180
  • Business analyst: AUD93,273
  • Data engineer: AUD112,877
  • Senior software engineer: AUD164,180
  • Software programmer: AUD73,118

So, undertaking a master's in data science in Australia can fetch you some of the best careers with a lucrative pay scale. To know more about your prospective salary range after a master's in data science, connect with the study experts at GoAustralia.

Top Data Science Companies in Australia are:

  • Unisys
  • VMware
  • SAP
  • Veritas
  • nbn
  • Gartner
  • Cenitex
  • Amazon Web Services
  • Informatica
  • Citrix
  • CommVault
  • Datto
  • Veeam
  • Domain
  • NTT Data Business Solutions
  • WooliesX
  • Aristocrat
  • Bench
  • Digivizer
  • Salesforce
  • GE
  • New Relic
  • Hitachi Vantara
  • Teradata
  • DXC Technology
  • Oracle
  • Canstar
  • REA Group
  • Equifax
  • BDO
  • SOPHOS
  • Spotify
  • Optus
  • MongoDB
  • NextDC
  • Dell
  • SAS
  • TIBCO
  • Splunk
  • Tableau
  • Cloudera
  • Domo Inc.
  • Microsoft
  • Analytics8
  • Experian
  • Qantas
  • Infosys
  • MapR
  • Visa
  • CSIRO Data61
  • PWC Australia
  • Servian
  • KPMG
  • Macquarie Group
  • Ubisoft
  • Chandler Macleod Group
  • Commonwealth Bank
  • Deloitte
  • Hyper Anna
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Job Role of MS in Data Science in Australia

Masters in data science in Australia appeals to people from varied backgrounds, mainly attracting those from the fields of mathematics, computing, engineering, health and science. Completing the study program successfully presents some of the best job opportunities after masters in data science in Australia, with the majority of the candidates serving as data scientists in organisations handling large data volumes. These sectors include business, banking, IT, science, finance, engineering, medical, health and government. Data scientists in these organisations need to use their blend of skills in statistics, computer science and analytics to play key roles in corporate strategy, government planning and business decision-making. As efficient and knowledgeable data scientists, professionals can drive economic growth, scientific research and public policy using varied technologies to aid the analysis and management of huge data sets.

Besides data scientists, graduates of masters in data science in Australia can also serve in other positions, like business intelligence analyst, analytics specialist, data analyst, analyst or developer, data engineer, data architect, research scientist, web analyst and data miner. Due to their exposure to the latest practical and theoretical expertise, candidates can also move on to become influential leaders within organisations. They also possess the skills to take up research work at different companies where they coordinate with science researchers to come up with more technical data science innovations. Their deep, significant knowledge helps them excel in almost any career they take up after their master's in data science in Australia.

For further information about masters in data science in Australia and the different career scopes available post-course completion, consult the study counsellors at GoAustralia.

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FAQ:


Are there scholarships available for masters in data science in Australia?

Though the tuition fee for masters in data science in Australia is affordable, there are scholarships available to meritorious and financially weak international students. For 100% scholarship guidance, you can consult the study consultants at GoAustralia.


Is it worth pursuing a master's in data science in Australia?

Yes, 10+ Australian universities offer masters in data science, which is a high-demand course with good ROI. It will boost your performance and offer you a good understanding of the data field, landing you the best careers and excellent salaries.


What is the application procedure for a master's in data science in Australia for international students?

First, international students must match all the entry requirements for masters in data science in Australia. Next, they must fill out the admission application form and submit it before the deadline, along with valid documents required by the Australian university. On application approval, the candidates receive an offer letter, after which they can apply for a student visa.


Which data science branch is considered the best for international students?

All international students willing to pursue the best career after completing their master's in data science in Australia must choose branches such as Data Mining, Data Analytics, Machine Learning and Artificial Intelligence.


What is the cost of studying for a master's in data science in Australia?

The cost of studying for a master's in data science in Australia is approximately AUD35,000 to AUD89,000, based on the university you are studying at. Note that the cost of studying data science in Australia may vary from one university to another.


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