Macquarie University Announces new program is an interdisciplinary course that aims to arm students with technical skills necessary to work in data science across a variety of industries
Students can avail scholarship worth $10,000 – 12,000 AUD for graduates
New Delhi, September 4, 2017: Macquarie University, one of Australia’s top 10 Universities, has launched a new program ‘Master of Data Science’ and is now inviting applications from graduate students for the first session beginning February 2018.
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Data has the potential to transform the way business, government, science and healthcare is carried out. Conventional manual techniques, however, aren’t capable of handling the deluge of data that modern systems generate. Data science, which applies specialised computational and statistical techniques to analyse such ‘big data’, is considered one of the key skills of the 21st century and there is a skills shortage in this field.
This interdisciplinary course will give students a range of technical skills necessary to work in data science across a variety of industries. Students get an excellent platform to learn and apply technical skills in wide ranging areas such as forensic investigation, research, business, and scientific applications. Students will develop skills in data management: on and off the cloud, machine learning, statistical modelling and a range of big data technologies that will distinguish them from their competitors as they enter the workforce.
This program falls under MU’s Faculty of Science and Engineering. The admission process for Master of Data Science has already begun and students can apply by visiting http://courses.mq.edu.au/2018/international/postgraduate/master/master-of-data-science.
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Apart from the courses the students can also simultaneously apply for the scholarship worth A$10,000 – A$12,000 scholarship that Macquarie University offers to the international students.
Macquarie University’s ‘Master of Data Science’ Program is an intense full-time program (1 year – 2 year depending on RPL granted) and students will have the opportunity to choose electives in areas such as data security management and modern computational statistical methods to expand their knowledge of data science across a variety of industries.
Students can apply to the course through the website and last date of submission of the application is January 15, 2018.
The eligibility criteria are for the scholarships are:
- Student should hold an unconditional offer for Master of Data Science for Session 1 or 2, 2018
- Should have a minimum score of 60% in undergraduate degree with an IELTS score of 6.5, no band less than 6.0 or equivalent to be eligible to apply for up to A$10,000
- Should have a minimum score of 70% in undergraduate degree with an IELTS score of 7.0, no band less than 6.0 or equivalent to be eligible to apply for up to A$12,000
About Macquarie University, Australia
Established in Sydney in 1964, Macquarie University is consistently ranked amongst the Top 10 universities in Australia (ARWU, 2015) and Top 200 in the world (QS, 2015). It is ranked amongst the top 100 in the world in nine disciplines (QS 2015 rankings by subject). It was created during a time of extraordinary social transformation to be a different kind of university: it was, and will always be, a bold experiment in higher education. True to its founders’ vision, the University has challenged the conventional thinking of academia through innovations in its campus set-up, curricula, interdisciplinary research and engagement with industry and the wider community.
Macquarie’s approach has paid off. Hundred percent of its research activity is rated through the ‘Excellence in Research for Australia’ initiative at world standard or higher, and it has received a rating of 5 stars across all categories measured by QS. 90% of its graduates under the age of 25 are employed within 6 months of completing their studies. More importantly, the University has helped to form generations of individuals who are audacious and responsible leaders in their field and active members of their communities.
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