Master of Data Science and Decisions in Business Data Science and Decisions

University of New South Wales (UNSW) - Kensington Campus

Australia,New South Wales

 0 Shortlist

24 Months

Duration

CAD 54,000/year

Tuition Fee

CAD 150

Application Fee

Apply Date

Australia, New South Wales

Type: University

Location Type: Semi-Urban

Founded: 1949

Total Students: 65,600 +

Int. Students: 22,946 +

Campus Detail

Main Campus Address

Civil Engineering Building (H20), Library Rd, UNSW Sydney, Kensington NSW 2052, Australia

Master of Data Science and Decisions in Business Data Science and Decisions

Program Overview

Our world contains an unimaginably vast amount of digital information. Extracting meaning from this data can drive business forward, enable next-generation scientific breakthroughs and produce benefits that make a positive difference in our world. But it’s a challenging task which requires strong skills and training.

Data scientists are the people with that expertise, which explains why they have become key players in today’s job market. From industries as varied as health, defence, finance, transport and logistics, to agriculture, media and technology, there’s a growing reliance on data science professionals to deliver meaningful business insights.

Prepare yourself for excellent employment opportunities in this fast-growing field with the Master of Data Science and Decisions. Your study will explore programming languages, problem-solving and processing/interpreting/presenting data using qualitative and quantitative techniques.

Specialisation: Business Data Science and Decisions
Data Science is the study of methods for organising, modelling and analysing large and complex data relevant for businesses, governments or other organisations. The information gleaned from the data analysis is intended to improve business decisions and inform policies.

The program provides an advanced technical background in mathematics, statistics, computer science and economics. The Business Data Science major enables a student to specialise further in methods of interpreting, understanding and predicting data for use in business.

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