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Macquarie University

Today’s organizations have access to many detailed sources of data, and complex decision-making strategies are required in order to operate effectively. Decision Science provides practical methods for translating data into efficiency improvements. Students will learn how to manage resource allocation, supply chains, large projects, queues and inventory systems, how to study and predict markets, how to simulate complex systems computationally, how to transact business safely via the internet, and how to identify and work around uncertainty. In the first year, students will most likely take Introductory Statistics and a computing unit such as Introduction to Computer Science. The core units of the major are offered by the Department of Statistics and these may be complemented by units from the other discipline areas such as computing, mathematics and other sciences.
Good Analytical Skills.
Gaining of knowledge related to Techniques and Elements of Finance, Principles of Management, Microeconomic Principles, Marketing Fundamentals, Accounting Information for Decision-Making, Introductory Statistics, Statistical Data Analysis, Operations Research, Applied Statistics, Introduction to Probability, Logistics and Project Management, Market Research and Forecasting, Graphics, Multivariate Methods and Data Mining, Operations Research are the concepts included as major parts in this course.
Students of this course will have career in Accounting, business management, engineering, information technology, inventory management, logistics, manufacturing, project management, warehousing.
March, August
IELTS - overall score of 7.0 Band, TOEFL - 600/ equivalent
28992
4 Years