Course Details
| Name of the Course | Master of Data Science |
| Name of the University | Swinburne University |
| Name of the Department/School conducting the Course | Faculty of Science |
| Location – Country | Australia |
| Location – City | Melbourne |
| Type of course | Degree |
| Mode of teaching | Regular Classroom |
| Type of degree awarded at the completion of course | Masters |
| Course Duration (in months) | 24 |
| Course Fee | AUD 36000 Per Annum |
| Selection Process | Applications/SOPs, Exam – IELTS, Exam – TOEFL |
| Focus Area | Data Science |
| Link | https://www.swinburne.edu.au/study/course/Master-of-Data-Science-MA-DATASC/international |
The Master of Data Science program at Swinburne University is designed in a way to prepare students to work at the forefront of data-driven decision-making and forecasting.
The course aims at developing an in-depth understanding of data science activities and various processes related to managing, interpreting, understanding, and deriving knowledge from large data sets.
The field of data science is set for a 200-percent growth by 2022. Professionals looking to expand their knowledge and create a robust career in the area should apply to this program as it helps build a more profound and holistic understanding of the field.
In the program, candidates learn how to gain meaningful insights from data sourced from business organizations, government bodies, scientific institutions, and other sources. Expanding on the existing practical knowledge and developing a deeper understanding of computer science and data analytics, Master of Data Science graduates from Swinburne University build their expertise with state-of-the-art techniques and contemporary tools that cover the entire data management lifecycle.
Why should you do a Master of Data Science?
As the world becomes ever more connected digitally and technology continues to grow at an exponential rate — the ability to capture, store and interpret data will become one of the crucial pillars in modern businesses and scientific experiments.
Data science professionals learn a unique skill-set in analyzing, manipulating, modeling, and interpreting large data sets to uncover patterns and generate valuable insights.
Needless to say, Data scientists add immense value to any modern-day business who want to use their data to make better, more sound strategic decisions. From statistical modeling to creating campaigns based on insights to creating strategic workflows to the HR department hiring new candidates, to helping senior staff make better-informed decisions, today, data scientists are invaluable to any company in any industry.
Why should you do a Master of Data Science at Swinburne University?
Swinburne University, recognized as a world-ranking university, is spearheading education in innovation, industry engagement, and social inclusion.
The university is known for its excellence in education, high-quality research facilities, and industry partnerships that create positive change for students, community, and staff.
The Master of Data Science program at Swinburne University is one of the leading data science programs in Australia. Swinburne has offered training and education for many decades now. It was also one of the first universities to have offered classes with the very first computers. Since the digital revolution, Swinburne has been providing cutting-edge education.
Focusing on emerging technologies, industry engagement, and flexible learning options, the Master of Data Science program is a fruitful opportunity for candidates who are willing to make a long-lasting career in data science.
The Master of Data Science program objective is simple and effective – To create data scientists of tomorrow who are data-fluent and can make data-driven decisions for effective business functioning and scientific advancements.
Curriculum
Duration
The Master of Data Science program at Swinburne University is a two-year (24 months) full-time course.
Eligibility Criteria
Interested candidates to the Master of Data Science can apply by meeting the eligibility requirements listed below:
⦁ Bachelor’s degree in a STEM (Science, Technology, Engineering or Mathematics) discipline, or
⦁ Bachelor’s degree in Computer Science or Statistics, or a non-STEM Bachelor’s degree and three years of industry experience in the software development, data analytics, database or related fields, or successful completion of the Graduate Certificate of Data Science.
English language requirements:
⦁ English for Academic Purposes by Swinburne (EAP 5 Advanced level) with an overall 70%, all skills 65%
⦁ IELTS (Academic Module): Overall 6.5 with no individual band below 6.0
⦁ Swinburne English Language Centre: EAP 5 Advanced level with an overall 70% and all skills 65% or above
⦁ TOEFL iBT: minimum score 79 (Reading no less than 18, Writing no less than 20)
⦁ Pearson (PTE) minimum score of 58 ( communicative skills shouldn’t be less than 50) any other equivalent assessment of English language proficiency.
Fees
The estimated fee for the entire program duration is $36000 AUD per year or 17,77,806 INR.
Centers
The Master of Data Science program is available at the Hawthorn campus:
Hawthorn campus
John Street, Hawthorn
Victoria 3122 Australia
Important Dates
How To Apply
Interested candidates to the Master of Data Science program can register and login online.
Follow the steps in the application process and submit it.
Please note: Additionally, you can also submit your application through an authorized representative in your country.
Degree of completion
Candidates who successfully complete the degree with the requisite credits will receive the degree in Master of Data Science that is a regulated qualification in Australian education and training.
Scholarships
Swinburne University offers scholarships to meritorious students in providing them an opportunity, promoting equity, and recognizing excellence and achievement. Scholarships are available for both current and commencing students. To find more about scholarships click here.
Career opportunities
Graduates from the Master of Data Science program will be eligible to seek employment and a great career as the following:
⦁ Data Science Developer
⦁ Data Scientist
⦁ Data Engineer
⦁ Data/Statistical Analyst
⦁ Data Modeller/Architect
⦁ Machine Learning Engineer
⦁ Big Data Engineer
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