Handbook : Course informationEdith Cowan University

Master of Data Science

Effective from 01-JAN-2022 : Code I97

Data Science is an inter-disciplinary field, drawing on mathematics, statistics, and computer science, that uses scientific methods, processes, algorithms and systems to extract knowledge and insights from structured and unstructured data. Data Science is a significant area of growth and potential employment in Australia and the Asia-Pacific region. This course provides the necessary foundations in the disciplines of mathematics, statistics and computer science, and develops student knowledge and skills in some of the key tools and techniques relevant to data science. It also pays specific attention to ethical issues surrounding the manner in which data is gathered, stored, analysed and used.

Disclaimer

This course information may be updated and amended immediately prior to semester. To ensure you have the correct outline, please check it again at the beginning of semester. In particular please check the course requirements and the unit and unit set offerings, as these differ according to course delivery location.

Work Experience Option

The final semester of the course is entirely centered on an industry relevant project or a work integrated learning (WIL) experience. By default students will be required to undertake CSI6224 Applied Project which is a 60 credit point, whole of semester capstone learning experience. Students will form into discipline related groups to scope, implement and then deliver a substantive industry relevant project that demonstrates the key aspects of their course learning outcomes. Students will work closely with academic and industry project supervisors to manage their time, project scope, quality assurance and communication between all relevant parties. Student will also have the option of a full-time semester of WIL through the unit CSI6223 Work Experience Project in their final semester of study. Students undertaking a 12 week full-time work placement will demonstrate discipline knowledge, communication and collaboration skills in addition to a proven professional work ethic whilst undertaking projects in an industry setting. The unit is designed to create an authentic learning experience in an industry setting where students can demonstrate the discipline knowledge and skills acquired throughout their degree. The underpinning learning process is that of independent learning in which aspects of the work experience are reflected upon with a view to altering future behaviour, including academic and professional capabilities. Students will undertake, and be assessed on, authentic activities through engagement with industry and community partners. Students must apply for WIL at the commencement of their second year of study and will only be considered for WIL if they have achieved a course WAM of at least 65% at the time of application. The School of Science has two WIL-officers who are responsible for establishing and maintaining relationships with prospective hosts and assisting eligible students in finding placements and preparing for them.

Attendance requirements

Students enrolled in the WIL unit CSI6223 will be expected to attend a workplace on a full-time basis for the entire teaching semester.

Prerequisites

WIL will be undertaken by students who have been awarded a work experience placement.

Course Learning Outcomes

1. Reflect critically on a complex body of data science knowledge, research principles and methods to demonstrate mastery of professional practice.
2. Apply advanced cognitive and technical skills to analyse complex concepts in authentic data science scenarios.
3. Apply communication and collaboration skills in designing solutions to data sciences problems.
4. Use high level self-management skills to initiate, plan and execute a substantial data science focused project.

Admission requirements

Admission requirement (Band 6)

• Bachelor degree; or
• Equivalent prior learning including at least five years relevant professional experience.

English Language requirement (Band 4)

English competency requirements may be satisfied through completion of one of the following:

• IELTS Academic Overall band minimum score of 6.5 (no individual band less than 6.0);
• Bachelor degree from a country specified in the Admissions Policy;
• Successfully completed 0.375 EFTSL of study at postgraduate level or higher at an Australian higher education provider (or equivalent);
• Where accepted, equivalent prior learning, including at least five years relevant professional experience; or
• Other tests, courses or programs as defined in the Admissions Policy.

Course Duration

• Full Time: 2 Years
• Part Time: 4 Years

Course Delivery

• Joondalup: Full Time, Part Time
• Online: Full Time, Part Time

Course Coordinator

Dr Stacey Nichole REINKE

Course Structure

OR

Work Integrated Learning – For Approved Placements

^ Core Option