Master of Science in Business Analytics

Trine University - Angola Campus

USA,Indiana

 0 Shortlist

12 Months

Duration

CAD 17,250/year

Tuition Fee

CAD 0 FREE

Application Fee

Jan 2025

Apply Date

USA, Indiana

Type: University

Location Type: Rural

Founded: 1884

Total Students: 13,000 +

Campus Detail

Main Campus Address

1 University Ave, Angola, IN 46703, United States

Master of Science in Business Analytics

Program Overview

Master of Science in Business Analytics  from Trine University is designed to meet the growing demand across the nation. Business analytics focuses on developing new insights and understanding of business performance based on data and statistical methods. A variety of industries need individuals who will have the education and expertise to collect, analyze and interpret information to make fact-based strategic business decisions.

The Experience

As a student in the  Master of Science in Business Analytics program, you'll experience a global program in both student population and perspective. You will be prepared to excel within your career by reducing costs with analytical insight, enhance resource utilization, and increase agility and quality of business activities. In addition, with Trine University’s strong strategic connection to diverse corporations that span both manufacturing and service industries, you will have exceptional opportunities and learn valuable skills for using technologies, applications and practices to compile data for the purpose of investigating past business performance and driving future business planning.

The Master of Science in Business Analytics program consists of 30 credit hours, including a capstone project where you will demonstrate a mastery of the program objectives by communicating your findings and applying your acquired skills in statistical and operational analysis, analytical software, and predictive models to provide an analytical solution to a real-world problem. Course topics range from project management, finance, information studies, data science, and analytics.