Master of Combined Studies in Business Analytics / Information Technology in Networking
Macquarie University
CRICOS 0101509 · Provider 00002J
at University of New England · Armidale, New South Wales
CRICOS course code
096381K
CRICOS provider code
00003G
This course is registered on the Commonwealth Register of Institutions and Courses for Overseas Students. Verify it yourself at cricos.education.gov.au before paying any fee.
Duration
2 years
Tuition (whole course)
A$71,616 total
Per year
A$33,250/yr
Intake
Semester 1 (Feb/Mar), Semester 2 (Jul)
The Master of Data Science at the University of New England provides a comprehensive education in data analysis, machine learning, and data management. Over the course of two years, students engage in a structured programme that blends theoretical knowledge with practical experience, covering vital areas such as data mining, big data technologies, and statistical methods. The programme is designed to equip graduates with skills necessary to handle complex data challenges in various sectors.
Students typically study in a semester format, completing a range of core and elective units to accumulate credit points, which culminate in a substantial capstone project or research thesis. This capstone experience allows students to apply their learning in real-world settings, ensuring that they are well-prepared for professional practice. Furthermore, students may have opportunities for work-integrated learning or professional placements, facilitating direct connections with industry.
This Master’s programme is suitable for individuals looking to specialise in data science, whether they come from a background in IT or a related field. The curriculum fosters critical thinking and problem-solving skills, enabling students to innovate and drive data-driven decisions in their future careers. It is ideal for those who wish to enter a rapidly growing field and make significant contributions through data analysis.
The skills gained in this programme are highly sought after across various Australian industries, including technology, finance, healthcare, and government sectors. Graduates can leverage these skills in roles that require advanced data manipulation and insightful analysis, paving the way for a successful career in data science.
It typically takes 2 years, with intakes in Semester 1 (Feb/Mar), Semester 2 (Jul).
Tuition is around A$71,616 total. Fees change yearly — confirm with an advisor.
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