Masters in Data Science in Australia

Masters in Data Science in Australia

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 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.

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.

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.

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.

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.

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.