Masters Qualifying Program (MQP) (066028J) + Master of Predictive Analytics (MC-PREDAN) (092977C)
About Masters Qualifying Program (MQP) (066028J) + Master of Predictive Analytics (MC-PREDAN) (092977C)
The Master Qualifying Program (MQP) at Curtin College builds academic and language competencies required for post graduate studies. The aim is to develop– academic communication, intercultural capability, research methodology and project management skills. Employability competencies such as analytical, interpersonal, cultural awareness would be emphasised in MQP.
Upon successful completion, the graduates should be able to:
- Evaluate and connect ideas showing logical and creative thinking, reasoning and reflective thinking appropriate for academic purposes
- Find, evaluate, generate and share ideas and information appropriately in written, oral and digital formats for diverse purposes and audiences.
- Incorporate global thinking in evaluating, and responding to, issues and interests of contemporary and/or historical relevance
- Reflect on personal attitudes and values to engage respectfully across culturally diverse contexts and adapt communication and interpersonal approaches appropriately
- Demonstrate effective teamwork, ethics, curiosity and investigative skill in working, researching and communicating for academic and professional purposes
It is a one semester (non-award) program designed for international students with tertiary qualifications but have not qualified for direct entry into master’s degree at Curtin University. The MQP graduates will meet the academic and English language requirements for entry into specified postgraduate programs (by coursework) at Curtin University. One-unit exemption will be provided towards the postgraduate course at Curtin University.
The Master of Predictive Analytics addresses the growing demand for data scientists who have the right blend of technical and analytical skills to meet the challenge of big data analytics. It is currently the only master degree course in predictive analytics in Australia.
It is a multidisciplinary degree, in which students can choose from four majors to learn about specific application domains. It introduces advanced skills in data management, mining and visualisation, decision methods and predictive analytics, with a focus on their applications to different disciplines, such as engineering, networking, business and finance.
Students will have opportunities to work on industry-sponsored projects, and participate in Curtin partnerships through Innovation Central Perth and the Curtin Institute for Computation.
Upon completion of this course, students will be well placed to handle the ‘big data’ issues of the future, understand how to overlay historical and prediction data with production, financial and other data and correlate probability assessments to make better informed decisions.
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