About Data Science\u00a0<\/mark><\/h2>\n\n\n\n

Data science is a highly sought-after course right now. Businesses generate a vast amount of data every second, making it crucial for businesses to understand it so that they can make confident business decisions. This profession has become increasingly popular with graduates who <\/mark>study Data Science<\/mark><\/mark> & AI in Australia<\/mark><\/mark>. Australian education offers an unbeatable combination of these factors. <\/p>\n\n\n\n

Study Data Science & AI in Australia: Specialization and Degrees<\/mark>\u00a0<\/h2>\n\n\n\n

Students who study data science in Australia have plenty of opportunities. In Australia, they can be employed as business intelligence analysts, developers, data architects, data engineers, web analysts, and research scientists. An experienced data scientist in Australia can earn an average salary of 103,922 AUD per year.  <\/p>\n\n\n\n

Here is a list of specializations offered in this field.<\/p>\n\n\n\n

Specialization<\/th>	Specialization<\/th><\/tr>
Data wrangling<\/td>	Modeling for data analysis<\/td><\/tr>
Computer architecture and operating systems<\/td>	Programming foundations in Python<\/td><\/tr>
Mathematical foundations for data science<\/td>	Business Intelligence Modelling<\/td><\/tr>
Data curation and management<\/td>	Data exploration and visualization<\/td><\/tr>
Big data management and processing<\/td>	Business intelligence and data warehousing<\/td><\/tr>
Applied data analytics<\/td>	Master of Data Science<\/td><\/tr><\/tbody><\/table><\/figure>\n\n\n\n In Australia, you can earn the following degrees in data science: <\/p>\n\n\n\n \n Undergraduate program<\/strong>: Bachelor of Science (B.Sc) in data science. <\/li>\n\n\n\n Post Graduate Program:<\/strong> Master in data science (M.Sc) in data science. <\/li>\n\n\n\n Doctoral Program:<\/strong> Ph.D. in data science <\/li>\n<\/ul>\n\n\n\n Study Data Science & AI in Australia: Undergraduate Program\u00a0<\/mark><\/h2>\n\n\n\n In Australia, colleges and universities offer three-year full-time bachelor’s degrees in data science. Australia offers approximately 13 bachelor’s degrees. Here are a few popular ones:  <\/p>\n\n\n\n Program<\/th> College\/ University<\/th> Duration<\/th> Course Fees (Annually in AUD)<\/th><\/tr> Bachelor of Science (B.Sc) in Data Science<\/td> University of Melbourne<\/td> 3 years<\/td> 41912<\/td><\/tr> B.Sc in Data Science<\/td> University of New South Wales<\/td> 3 Years<\/td> 49674<\/td><\/tr> Bachelor of Computer Science in Data Science<\/td> Monash University<\/td> 3 Years<\/td> 42800<\/td><\/tr> B.Sc in Information Systems (Data Analytics)<\/td> The University of Western Australia<\/td> 3 Years (B.Sc) 4 Years (B.Sc Hons)<\/td> 55496<\/td><\/tr> B.Sc in Computer Science (Data Science)<\/td> Swinburne University of Technology<\/td> 3 Years<\/td> 32087<\/td><\/tr> B.Sc in Data Science<\/td> Western Sydney University<\/td> 3 Years<\/td> 29182<\/td><\/tr> Bachelor in Information Technology (BIT) in data science<\/td> University of Southern Queensland<\/td> 3 years<\/td> 25832<\/td><\/tr> Bachelor in Information Technology (Data Analytics)<\/td> University of Southern Queensland<\/td> 3 years<\/td> 25678<\/td><\/tr><\/tbody><\/table><\/figure>\n\n\n\n Eligibility criteria for Bachelors<\/mark>\u00a0\u00a0<\/h3>\n\n\n\n In order to be eligible to apply to a bachelor of science in data science in Australia, students must meet the following criteria: <\/p>\n\n\n\n \n A minimum of 70% marks should be achieved in the 12th grade.  <\/li>\n\n\n\n An in-depth understanding of mathematics is required <\/li>\n\n\n\n To demonstrate English proficiency, international students must get 64 in PTE or a 6.5 band score in IELTS.  <\/li>\n<\/ul>\n\n\n\n Admission Requirements for Bachelors<\/mark>\u00a0<\/h3>\n\n\n\n The following documents must be attached and sent to the college at least 12 months before your proposed admission date: <\/p>\n\n\n\n \n Marksheet of 12th examination or junior college <\/li>\n\n\n\n Higher secondary certificate <\/li>\n\n\n\n Higher school certificate <\/li>\n\n\n\n Report of English proficiency test scores <\/li>\n<\/ul>\n\n\n\n Study Data Science & AI in Australia: Postgraduate Programs<\/mark>\u00a0<\/h2>\n\n\n\n Australia’s colleges and universities offer 39 types of Masters in Data Science degrees. In one to two years, the process is streamlined.<\/p>\n\n\n\n The top universities in Australia offering MS degrees in Data Science are listed below.<\/mark>\u00a0<\/h2>\n\n\n\n Master’s in Data Science Australian Universities <\/th> QS World Ranking 2023<\/th><\/tr><\/thead> University of Sydney<\/td> #41<\/td><\/tr> University of Melbourne<\/td> #33<\/td><\/tr> University of New South Wales<\/td> #45<\/td><\/tr> University of Queensland<\/td> #50<\/td><\/tr> Monash University<\/td> #57<\/td><\/tr> RMIT University<\/td> #190<\/td><\/tr> University of Adelaide<\/td> #109<\/td><\/tr> Deakin University<\/td> #266<\/td><\/tr> Swinburne University of Technology<\/td> #296<\/td><\/tr> La Trobe University<\/td> #316<\/td><\/tr><\/tbody><\/table><\/figure>\n\n\n\n Eligibility Criteria for Masters<\/mark>\u00a0\u00a0<\/h3>\n\n\n\n To get into the Australian institute, the following criteria must be met:  <\/p>\n\n\n\n \n Bachelor certificate as proof of completion.  <\/li>\n\n\n\n Bachelor’s degree in computer science, data science, engineering, statistics, finance, economics, or physics  <\/li>\n\n\n\n 70% marks in bachelors (that is 4.0 GPA)  <\/li>\n\n\n\n As proof of English proficiency, an IELTS band score of 6.5 or a PTE score of 66 <\/li>\n<\/ul>\n\n\n\n Admission Requirements for Masters\u00a0\u00a0<\/mark>\u00a0<\/h3>\n\n\n\n Along with the academic score, students must submit the following documents to be considered for admission to a master’s program in data science:  <\/p>\n\n\n\n \n One identification certificate <\/li>\n\n\n\n Your valid passport <\/li>\n\n\n\n 4 passport size photographs of the student <\/li>\n\n\n\n One statement certificate of the purpose of studying <\/li>\n\n\n\n Letter of recommendation <\/li>\n\n\n\n Transcripts of prior studies <\/li>\n\n\n\n Your current CV <\/li>\n<\/ul>\n\n\n\n Here are the top 10 universities in Australia offering master’s programs in data science, with their eligibility criteria, course duration, tuition fee, and courses covered in the program.<\/mark>\u00a0\u00a0<\/h4>\n\n\n\n College<\/th> Eligibility<\/th> Course Duration<\/th> Tuition Fee<\/th> Courses Covered<\/th><\/tr><\/thead> 1. The University of Melbourne<\/td> PTE\/IELTS\/TOEFL, Bachelor’s with a minimum of 65%<\/td> 24 months<\/td> AUD 40,960\/ Year<\/td> Professional skills subjects like scientific communication, core computer science subjects and Capstone data science project<\/td><\/tr> 2. The University of Sydney<\/td> PTE\/IELTS\/TOEFL, Bachelor’s with a minimum of 65%<\/td> 12 months<\/td> INR 27,40,080 First Year<\/td> Includes the latest in the data mining, machine learning and data visualization with a focus on developing the skills to communicate data insights to important shareholders<\/td><\/tr> 3. RMIT University<\/td> PTE\/IELTS\/TOEFL<\/td> 24 months<\/td> INR 20,93,645 First Year<\/td> The course offers a wide array of learning through lectures, tutorials, practical classes, project work and seminars.<\/td><\/tr> 4. Monash University<\/td> PTE\/IELTS\/TOEFL, Bachelor’s with a minimum of 60%<\/td> 12 months<\/td> INR 25,10,808 First Year<\/td> Covers data analysis, data pre-processing, data science objectives, and visualization. You are also given the option to select from a variety of data science electives. <\/td><\/tr> 5. La Trobe University<\/td> PTE\/IELTS<\/td> 24 months<\/td> INR 20,57,856 First Year<\/td> Besides studying advanced subjects in computer science, mathematics and statics, you can also choose from big data and cloud computing, Analytical science, and Bioinformatics.<\/td><\/tr> 6. The University of Adelaide<\/td> PTE\/IELTS\/TOEFL, Bachelor’s degree with a GPA>4.5<\/td> 24 months<\/td> INR 25,16,400 First Year<\/td> Includes a specialized introductory IT program in the first semester, and skill- building in mathematics and programming.<\/td><\/tr> 7. University of New South Wales<\/td> PTE\/IELTS\/TOEFL<\/td> 20 months (approx.)<\/td> INR 25,83,504 First Year<\/td> The online learning environment helps with the flexibility of the schedule. It includes nine core courses and three electives- all of which can be completed in two years’ time.<\/td><\/tr> 8. Deakin University<\/td> PTE\/IELTS\/TOEFL<\/td> 24 months<\/td> INR 21,02,592 First Year<\/td> Fundamental Data Analytics Studies, Introductory Data Science Studies and Mastery Data Science Studies.<\/td><\/tr> 9. The University of Queensland<\/td> PTE\/IELTS\/TOEFL, Bachelor’s GPA>5<\/td> 24 months<\/td> INR 25,78,583 First Year<\/td> Includes 32 units that consist of modules like Responsible Data Science, Introduction to Software Engineering, Social Media Analytics, Advanced Bioinformatics and Longitudinal & Correlated Data.<\/td><\/tr> 10. Swinburne University of Technology<\/td> PTE\/IELTS\/TOEFL<\/td> 24 months<\/td> INR 20,73,514 First Year<\/td> Introduction to programming and Data Science, Data Management for the Big Data Age, Data Visualization, Data Science Capstone Project, Forecasting, Internship Project, and Minor Thesis, among others.<\/td><\/tr><\/tbody><\/table><\/figure>\n\n\n\n Study Data Science & AI in Australia: Doctorate Program\u00a0<\/mark><\/h2>\n\n\n\n The PhD in Data Science can be completed in four years in Australia. In Australia, there are seven popular universities that offer PhD programs in data science. These universities and their doctorate programs are listed in the following table: <\/p>\n\n\n\n Program<\/th> University<\/th> Duration<\/th> Course Fees (Annually in AUD)<\/th><\/tr> PhD in Learning Analytics<\/td> University of Technology Sydney<\/td> 4 years<\/td> 35823<\/td><\/tr> PhD in Machine Learning (Information technology)<\/td> Monash University<\/td> 3-4 years<\/td> 42800<\/td><\/tr> PhD in Computer Science (Data Science and Analytics)<\/td> RMIT University<\/td> 3-4 years<\/td> 33600<\/td><\/tr> PhD in Data Science<\/td> University of Melbourne<\/td> 4 years<\/td> 44128<\/td><\/tr> PhD in Artificial Intelligence<\/td> University of Sydney<\/td> 3 years<\/td> 49000<\/td><\/tr> PhD in Data Science<\/td> University of Queensland<\/td> 4 years<\/td> 26000<\/td><\/tr> PhD in Data Science<\/td> University of Western Australia<\/td> 4 years<\/td> 46400<\/td><\/tr><\/tbody><\/table><\/figure>\n\n\n\n Eligibility Criteria for PhD\u00a0\u00a0<\/mark><\/h3>\n\n\n\n \n Distinction score in Bachelor <\/li>\n\n\n\n 70% in Masters  <\/li>\n\n\n\n To prove English proficiency, international students should score at least 6.5 on the IELTS or 66 on the PTE.  <\/li>\n<\/ul>\n\n\n\n Admission Requirements for PhD<\/mark>\u00a0\u00a0<\/h3>\n\n\n\n Even though the applicants possess the above academic qualifications, some required documents must be submitted along with the admission application. Here are the documents you’ll need: <\/p>\n\n\n\n \n Transcripts of prior academic mark sheets <\/li>\n\n\n\n Your updated CV or Resume <\/li>\n\n\n\n Letter of intent <\/li>\n\n\n\n Score of English language test <\/li>\n\n\n\n Receipt of application fees <\/li>\n\n\n\n 2-3 academic reference letters <\/li>\n<\/ul>\n\n\n\n Scholarships Offered<\/mark>\u00a0<\/h2>\n\n\n\n In Australia, cost of living is not only determined by tuition fees, but also by the cost of food and accommodation. It is therefore recommended to apply for any of the suitable scholarships for international students in Australia in order to reduce the cost burden. It is difficult to spend so much money as a student. Among the scholarships available to international students are:<\/p>\n\n\n\n Scholarship<\/th> Scholarship is given by.<\/th> Scholarship is given to<\/th> Amount of scholarship program<\/th><\/tr> Melbourne School of Engineering Scholarship<\/td> University of Melbourne<\/td> M.Sc in data science students<\/td> 5000- 20000 AUD<\/td><\/tr> Future of Change Scholarship<\/td> University of New South Wales<\/td> M.Sc in data science students<\/td> 5000 AUD\/ Year<\/td><\/tr> School of Computer Science Master of data science Entry Scholarship<\/td> The University of Sydney<\/td> M.Sc in data science students<\/td> 6000 AUD\/ Year<\/td><\/tr> ANU College of Engineering and Computer Science International Postgraduate Merit Scholarship<\/td> Australian National University<\/td> M.Sc in data science students<\/td> 25% concession in tuition fees<\/td><\/tr> Curtin University International Research Scholarships<\/td> Curtin University<\/td> M.Sc and PhD program<\/td> Rebate in tuition fees based on the merit of the students<\/td><\/tr> Meng Fei Innovative Future Leader Scholarships<\/td> Curtin University<\/td> Undergraduate and Postgraduate students<\/td> 10000 AUD<\/td><\/tr><\/tbody><\/table><\/figure>\n\n\n\n Career Prospects\u00a0<\/mark><\/h2>\n\n\n\n Data scientists are in high demand worldwide, including in Australia. The explosion of big data across industries has made data scientists the most sought-after specialists. As soon as you complete this program, you will have the option of working domestically or internationally. <\/p>\n\n\n\n New startups offer many opportunities to make a difference, but large corporations and money industries such as finance offer the best prospects. <\/p>\n\n\n\n Those who work in the data science field can help shape the field’s future. By honing your skills and talents, you can become a leader in this specialised industry. <\/p>\n\n\n\n According to a report, Australia’s data scientist demand will rise by 18000 people annually over the next five years. Additionally, non-IT occupations will grow by 3.2% annually, according to Australian Labour Force. Over the past few years, the job growth of passed out data scientists in Australia has flourished. <\/p>\n\n\n\n The majority of data science jobs are located in New South Wales and Victoria. There are several companies that recruit scientists, including Capgemini, Leidos, Zone IT solution, Jenny Barbour, Hudson, HAYS, Grey thorn, and so on. <\/p>\n\n\n\n Designation<\/th> Annual Salary (in AUD)<\/th><\/tr> Research Scientist<\/td> 94613 – 111170<\/td><\/tr> Data Scientist Manager<\/td> 122060 – 150000<\/td><\/tr> Senior data scientist<\/td> 101511 – 149824<\/td><\/tr> Senior consultant and decision modeling and analytics<\/td> 77000 – 140000<\/td><\/tr> Lead Data scientist<\/td> 112669 – 180614<\/td><\/tr> Data Engineer (Cloud)<\/td> 103548 – 128551<\/td><\/tr> Senior Fraud risk data scientist<\/td> 18600 – 362000<\/td><\/tr> AI and Machine learning engineer<\/td> 88330 – 153528<\/td><\/tr> Senior Science Communicator<\/td> 99265 – 128119<\/td><\/tr><\/tbody><\/table><\/figure>\n\n\n\n AI Master’s Degree: What is it?<\/mark>\u00a0<\/h2>\n\n\n\n AI is the process of creating and training machines that can solve problems where human intelligence is normally required. An artificial intelligence system can be powered by machine learning, deep learning, or operating rules. <\/p>\n\n\n\n With AI being a relatively new field, it comes with both benefits and risks. Technology can streamline tasks and reduce human errors, but it might also lead to the abolition of some types of jobs and the creation of others. Furthermore, some scientists express concerns about future self-aware AI machines, despite the fact that we have yet to develop them. <\/p>\n\n\n\n Artificial Intelligence studies cover a wide range of topics, including computer vision, natural language processing, speech recognition, software engineering principles, autonomous systems, machine learning, image analysis, signal and sound processing, ethics, and social implications of AI. <\/p>\n\n\n\n Artificial Intelligence requires advanced knowledge of Mathematics, Algorithms, Statistics, and Probability. The majority of AI professionals work for top tech companies, developing applications, systems, and machines. A digital assistant can provide useful information on services like YouTube or Netflix, or a self-driving car can offer suggestions. They also develop, test, and improve self-driving vehicles. <\/p>\n\n\n\n It is also necessary to have solid programming language knowledge. Upon graduating, AI students can become AI researchers, AI specialists, computer linguists, robotic engineers, machine learning engineers, and so forth. <\/p>\n\n\n\n Find out what Master’s degrees are available in Artificial Intelligence and the colleges offering them.<\/mark>\u00a0<\/h3>\n\n\n\n Colleges<\/th> Degree<\/th> About the Degree<\/th><\/tr><\/thead> 1. University of Canberra<\/td> Master of Information Tecnology and Systems<\/td> Explore the key area of the “Skills Framework for the Information Age” and gain a comprehensive and thorough understanding of software technology and engineering practice.<\/td><\/tr> 2. La Trobe University<\/td> Master of Information Tecnology<\/td> There’s never been a better time to build new skills and follow your passion. Apply now to secure your place for the degree.<\/td><\/tr> 3. Curtin University<\/td> Geospatial Intelligence program<\/td> Learn how to manage spatial data and remotely sensed imagery with this degree.<\/td><\/tr> 4. Deakin University<\/td> Master of Data Science<\/td> Become a data specialist capable of using data to form insights, support decision making and create a competitive advantage in today’s business world with this degree.<\/td><\/tr> 5. Engineering Institute of Technology<\/td> The Programmable Logic Controllers and SCADA program<\/td> This degree gives an opportunity for industry professionals in the fields to review, refresh and enhance their knowledge and skills in PLC, SCADA and control systems without having to complete a full master’s degree.<\/td><\/tr> 6. Charles Sturt University<\/td> The Professional Information Technology (with specializations)<\/td> This degree will put you at the cutting edge of the IT Industry- where employers need you to be.<\/td><\/tr> 7. Deakin University<\/td> Master of Applied Artificial Intelligence (Professional)<\/td> This degree extends the Master of Applied Intelligence by providing students with the opportunity to further broaden their knowledge through wider studies in IT.<\/td><\/tr> 8. Torrens University<\/td> Master of Software Engineering (Artificial Intelligence Advanced)<\/td> This degree is for experienced software engineers looking to significantly deepen their knowledge and pursue specialist careers in the field of AI.<\/td><\/tr> 9. Curtin University<\/td> Predictive Analytics course<\/td> This degree addresses the growing demand for data analysts and scientists that have the right blend of technical and analytical skills to meet big data analytics challenges.<\/td><\/tr> 10. Australian National University<\/td> Machine Learning and Computer Vision program<\/td> The degree provides students with specific knowledge and prepares them with competitive professional skills and high flexibility to build their career in the field of Machine Learning and Computer Vision. This university hosts the ARC Centre of Excellence for Robotic Vision.<\/td><\/tr><\/tbody><\/table><\/figure>\n\n\n\n Conclusion- Study<\/mark><\/mark> <\/mark>Data Science<\/mark><\/mark> <\/mark>& AI<\/mark><\/mark> in <\/mark>Australia<\/mark><\/mark><\/mark><\/mark><\/h2>\n\n\n\n Therefore, studying Data Science & Artificial Intelligence in Australia is a great option for those interested in exploring the world of developed science. With more and more advancements in science and technology, these courses will become the most popular streams in the coming years. As a result, there will be a good demand for data science analysts in various departments.<\/p>\n\n\n \n \n \n \n \n \n \n\n <\/div>\n <\/div>\n \n \n\n <\/div>\n <\/div>\n \n \n\n <\/div>\n <\/div>\n \n \n\n <\/div>\n <\/div>\n \n \n\n <\/div>\n <\/div>\n <\/div>\n \n \n \n \n\n <\/div>\n <\/div>\n \n \n\n <\/div>\n <\/div>\n \n \n\n <\/div>\n <\/div>\n \n \n\n <\/div>\n <\/div>\n \n \n\n <\/div>\n <\/div>\n <\/div>\n<\/div>\n \n\n \n Rate this post<\/span>\n <\/div>\n <\/div>\n","protected":false},"excerpt":{"rendered":" Are you planning to study Data Science & AI in Australia? Then here is all you need to know about these courses. Read the full article for detailed information regarding these two streams of study. Explore which colleges you should apply to, depending on your preferences and their eligibility criteria.  But before knowing about the […]<\/p>\n","protected":false},"author":2,"featured_media":2277,"comment_status":"open","ping_status":"open","sticky":false,"template":"","format":"standard","meta":{"_monsterinsights_skip_tracking":false,"_monsterinsights_sitenote_active":false,"_monsterinsights_sitenote_note":"","_monsterinsights_sitenote_category":0,"footnotes":""},"categories":[215,216],"tags":[217,218],"yoast_head":"\r\n