Master of Data Science (2 Years)
Master of Data Science (2 Years)
The Master of Data Science is designed for graduates from all disciplines to complement their existing skills with a solid background in statistics and computer science, preparing them for advanced subjects in these areas along with discipline-specific data science units. The degree provides access to a back-bone of statistics and…
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COURSE DESCRIPTION
The Master of Data Science is designed for graduates from all disciplines to complement their existing skills with a solid background in statistics and computer science, preparing them for advanced subjects in these areas along with discipline-specific data science units. The degree provides access to a back-bone of statistics and computer science units, provided within the course. Career outcomes
Data science is a rapidly growing field with outstanding employment prospects for appropriately qualified professionals. You will be equipped with the skills and knowledge needed to advance your career in positions such as:
data scientist
business intelligence analyst
data engineer or architect
data strategist
healthcare data manager
bioinformatics analyst. Learning Outcomes: understand the key tools, methods and theories used in data science to a level of depth and sophistication consistent with advanced professional practice;
synthesise information from data and analyse the lifecycle of data within an organisation;
apply problem solving skills and advanced knowledge to implement data analysis solutions for real-world problems;
communicate effectively with expert and non-expert audiences to understand issues and gather requirements for the development of data analysis strategies and related systems within an organisation;
integrate theories and methods related to data science, statistics and software development by planning and executing a research-grounded industry project;
evaluate information from a range of sources, such as peer-reviewed literature and technical documentation, to assess current developments in the area of data science; and
demonstrate a sophisticated awareness of the ethical and legal issues that relate to the practice of data science.
REQUIREMENTS
Entry is based on a bachelor, graduate certificate or diploma, or bachelor with honours qualification, or overseas equivalent. English Language Requirements: An IELTS (Academic): overall score – 6.0, Listening, Reading, Writing, Speaking – 5.5; TOEFL Computer-based test overall score – 213, Internet-based test overall score -79, Writing – 22; Pearson PTE (Academic) overall score -57, Listening, Reading, Writing, Speaking – 50.
EDUCATIONAL INSTITUTION
The University of New England was originally formed in 1938 as the New England University College, a College of the University of Sydney. It became fully independent in 1954. The university is located on several sites in Armidale, NSW. All the programs are offered via the four faculties: Arts; Economics, Business and Law; Education, Health and Professional Studies; and The Sciences; these faculties incorporate 18 teaching schools. Research is offered in the areas of rural science, agricultural economics, geology, educational administration, linguistics, archaeology, etc.
