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Data Science

Plan of Study

Business Analytics

Overview

Students in this sequence will gain the knowledge and skills to help businesses use statistical methods and technologies for analyzing historical data to gain new insight and improve strategic decision-making. Business analytics refers to the skills, technologies, and practices for continuous iterative exploration and investigation of past business performance to gain insight and drive business planning. Students will learn how data analysts describe, predict, and inform business decisions in the specific areas of marketing, human resources, finance, and operations.

Sequence Requirements

Take all of the following courses (19 credit hours):

  • ECO 101 Principles of Microeconomics
  • ECO 102 Principles of Macroeconomics
  • MKT 190 Marketing Fundamentals and Career Choices or MKT 230 Intro to Marketing Management
  • MKT 232 Marketing Research
  • MKT 245 Introduction to Marketing Analytics
  • BIS 167 Electronics Spreadsheet Usage
  • BIS 271 Introduction to Business Analytics

Take a minimum of 1 course (3 credit hours) from the following:

  • ACC 263 Accounting Information Systems
  • ACC 353 Forensic Analytics
  • BIS 366 Advanced Business Data Management
  • BIS 371 Intermediate Business Analytics
  • MKT 310 Marketing Logistics & Supply Chain Management
  • MKT 311 Marketing & Sales Forecasting
  • MKT 345 Advanced Marketing Analytics
  • MKT 339a13 Seminar in Marketing: Brand Management and Analytics

Sample Plans of Study

First Year - Fall Semester (17 credit hours)

MAT 145 Calculus I (General Education) (4)
ENG 101 Composition as Critical Inquiry or
COM 110 Communication as Critical Inquiry (3)
General Education course (3)
General Education course (3)
IT 168 Structured Problem Solving Using the Computer (4)

First Year - Spring Semester (17 credit hours)

MAT 146 Calculus II (General Education) (4)
ENG 101 Composition as Critical Inquiry or
COM 110 Communication as Critical Inquiry (3)
General Education course (3)
IT 179 Introduction to Data Structures (3)
ECO 101 Principles of Microeconomics (3)
BIS 167 Electronic Spreadsheet Usage (1)

Second Year - Fall Semester (15 credit hours)

MAT 147 Calculus III (BS-SMT) (4)
MAT 260 Discrete Mathematics (4)
IT 180 C++ Programming (1)
ECO 102 Principles of Macroeconomics (3)
General Education course (3)

Second Year - Spring Semester (16 credit hours)

MAT 350 Applied Probability Models (4)
IT 279 Algorithms and Data Structures (3)
General Education course (3)
General Education course (3)
MKT 190 Marketing Fundamentals and Career Choices or MKT 230 Intro to Marketing Management (3)

Third Year - Fall Semester (14 credit hours)

MAT 175 Elementary Linear Algebra (4)
MAT 351 Statistics and Data Analysis (4)
MKT 232 Marketing Research (3)
BIS 271 Intro to Business Analytics (3)

Third Year - Spring Semester (15 credit hours)

IT 348 Intro to Machine Learning (3)
MKT 245 Intro to Marketing Analytics (3)
University-wide elective (3)
General Education course (3)
MKT 236 Business Ethics, Social Responsibility and Sustainability (3)

Fourth Year - Fall Semester (13 credit hours)

POL 309 Data Analysis and Data Visualization in Political Science, CTK 302 Computer Programming for Creatives, or IT 352 Data and Information Visualization (3)
Business Analytics Sequence elective (3)
University-wide elective (4)
University-wide elective or AMALI (3)

Fourth Year - Spring Semester (13 credit hours)

IDS 398a05 Professional Practice Internship in Data Science or IDS 388 Capstone/Directed Project in Data Science (3)
MAT 355 Generalized Linear Models and Predictive Modeling (4)
University-wide elective or IDEAS (3) 
General Education course (3)