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Business Analytics, MS: Curriculum

Overview

30 total credits required

Through the MS in Business Analytics, you’ll gain a direct understanding of how to effectively enhance business processes with data-driven, informed insights. The business analytics courses that you’ll explore in the program have been composed by faculty with extensive experience in improving organizational, managerial, and industrial business procedures. Designed for real-world, practical applications, the degree will prepare you to advance your career as you employ descriptive, prescriptive, and predictive analytical tools to solve business problems.

Scranton’s MS Business Analytics program is part of the Kania School of Management, which is among an elite 10 percent of U.S. business schools to have earned accreditation from the Association to Advance Collegiate Schools of Business (AACSB) International. Additionally, the program carries a STEM designation, which is especially important for international students looking for opportunities to continue training in the United States for up to three years after graduation.

Courses

Core Courses (18 credits required)

  • BUAN 500: Business Analytics Tools
  • BUAN 571: Introduction to Business Analytics
  • BUAN 572: Data Mining
  • BUAN 576: Business Database Management Systems
  • BUAN 578: Business Intelligence
  • BUAN 590: Big Data Capstone Project

Elective Courses (12 credits required)

  • BUAN 573: Business Analytics Using R
  • BUAN 574: Business Forecasting Models
  • BUAN 575: Business Simulation
  • BUAN 577: Data Visualization
  • BUAN 584: Special Topics in Business Analytics
  • BUAN 585: Big Data Ethics
  • BUAN 586: Applied Business Statistics
  • BUAN 587: Customer Relationship Management
  • BUAN 588: Business Analytics Using Python

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