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Business analytics uses tools and techniques to turn data into meaningful business insights, and it is becoming critical for organizational decision making. Increasingly large quantities of data enable quantitative analysis to be utilized more systematically and reliably as part of solving many business or client problems. The major will prepare students to work across disciplines, often in communications roles between technicians and executives (and/or clients). Career opportunities for graduates include jobs in business analytics, data analytics, and team, program, project, and general management. Students may obtain both a business analytics major and a data analytics minor by earning 3 SHs beyond their major requirements from the data analytics electives list.

Admission Requirements: To graduate with a program major, students must first earn admission to the program. This typically occurs during the spring semester of the second year, and late-entry transfer students apply for admission after their first semester at EMU. Students must have program admission to apply for an internship and several upper-level courses. Students seek admission to the program by completing an application and an interview with their advisor; they must meet the GPA requirements of 2.00 overall and 2.50 for major courses taken at EMU. Students must maintain these GPA standards to retain admission and to graduate from the program. Many courses in the program have prerequisites; this requirement is met by earning a letter grade of C or higher on the prerequisite course before enrolling in subsequent courses (a grade of C- does not meet this requirement).

Required Courses (50 SH)

  • ACTG 221 Financial Accounting (3)

  • BUAD 101 Business at EMU (3)

  • BUAD 221 Principles of Management (3)

  • BUAD 301 Quantitative Decision Making (3)

  • BUAD 461 Strategic Leadership in Organizations (3)

  • CIS 211 Spreadsheet and Data Management (1)

  • CIS 251 Management Information Systems (3)

  • CIS 321 Advanced Spreadsheet (1)

  • CS 145 Introduction to Programming (2)

  • CS 155 Programming in Python (2)

  • CS 265 Databases (2)

  • *CS 460 Big Data Analysis (4)

  • ECON 201 Survey of Economics (3)

  • FIN 440 Financial Management (3)

  • MKTG 201 Principles of Marketing (3)

  • MKTG 311 Marketing Research (3)

  • STAT 120 Descriptive Statistics (2)

  • *STAT 150 Data Visualization (2)

  • STAT 220 Inferential Statistics (2)

  • STAT 230 Regression and ANOVA (2)

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