Master of Data Science
Master of Data Science
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. This course provides the necessary foundations in the disciplines of mathematics, statistics and computer science, and develops student knowledge…
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COURSE DESCRIPTION
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.
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 and analysed/utilised.
Data Science is a significant area of growth and potential employment in Australia and the Asia-Pacific region.
Course learning outcomes
Reflect critically on a complex body of data science knowledge, research principles and methods to demonstrate mastery of professional practice.
Apply advanced cognitive and technical skills to analyse complex concepts in authentic data science scenarios.
Apply communication and collaboration skills in designing solutions to data sciences problems.
Use high level self-management skills to initiate, plan and execute a substantial data science focused project.
Career Opportunities
This course provides students with the opportunity to engage in a semester-long work-orientated project or a work-integrated experience. This provides an excellent springboard for employment following this degree. Career pathways available to data science graduates include data scientist, data analyst, machine learning scientist, statistician, informatician, computational scientist. Graduates of this course will also have the option to pursue further study at the PhD level.
Possible future job titles
Data Scientist, Data Analyst, Informatician, Computational Scientist
REQUIREMENTS
Academic admission requirements (Band 6) may be satisfied through completion of one of the following:
Bachelor degree; or
Equivalent prior learning including at least five years relevant professional experience.
English competency requirements:
IELTS Academic: An overall band minimum score of 6.5, with no individual band less than 6.0.) (Results are typically valid for 2 years and online tests are not acceptable.)
TOEFL iBT: TOEFL iBT: 84 (with no score below 17)
TOEFL Paper-Based Test (PBT): Minimum score of 573, including Test of Written English of 5.0 or better. (Results are typically valid for only 2 years)
Pearson Test of English (PTE): PTE Academic 58, with no score less than 50 for postgraduate standard entry courses. (Results are typically valid for only 2 years)
EDUCATIONAL INSTITUTION
Edith Cowan University (ECU) is a large, multi-campus institution serving communities in Western Australia and internationally.ECU was awarded university status in 1991, but despite its relative youth, the University has a proud history of more than a century of service to education in Western Australia and is recognised for its teaching and learning, excellence in research, and partnerships with the community.We have more than 23,300 students, including around 18,500 undergraduates and 4,800 postgraduates. Approximately 3,600 international students attend the University, originating from 104 countries.We are a progressive University with courses developed through ongoing industry input, and employing lecturers who engage fully with their students. We’re a university that knows while knowledge is important, understanding comes from experience –experience that enables you to adapt what you’ve learned to whatever opportunities come your way. Because that’s when you do more than just survive in this world. You thrive in it.
