The Business Data Analytics Program

Business data analytics students will develop skills in business and statistics to make data-driven decisions, with an emphasis on identifying trends and creating clear and informative visual presentation of data. 


Advances in technology have caused an explosion of data in multiple areas from business to history. Organizations need employees who can organize, clean, and analyze these data so that it can be useful in decision making. These data scientists also need to put the data into context to better present it and understand the ramifications of the decisions being made based upon it.

The Business Data Analytics program will prepare students to be excellent candidates for data-science or data-analytics positions across a variety of industries and in public, private and non-profit organizations. Students may explore a career in positions such as a data analyst, data architect, business analyst, data engineer, data scientist or investment fund manager, among others.

Business Data Analytics Major

Business Core (45 credits)

BA 100* Financial Accounting I - 3 credits
BA 170* Organizational Behavior - 3 credits
BA 220 Principles of Marketing - 3 credits
BA 265 Management Information Systems - 3 credits
BA 305 Business Ethics - 3 credits
BA 320 Corporate Finance I - 3 credits
BA 340 Business Law - 3 credits
BA350+BA350A Statistics I (sophomore year) + Excel Lab - 4 credits
BA351+BA351A Statistics II (sophomore year) + Excel Lab - 4 credits
BA 495 Capstone Class: Business Policy and Strategy - 3 credits
EC 101 Principles of Microeconomics - 3 credits
EC 102 Principles of Macroeconomics - 3 credits
PS 100* Principles of American Politics - 3 credits
MA 111* Analytical Calculus I - 4 credits
BA 00P ePortfolio Requirement (semester of graduation--pass/fail)

Business Data Analytics major requirements (36 credits):

CS 1xx Introduction to Python - 1 credit
DS100 Intro. Data Science and Analytics - 3 credits
BA 355 Advanced Business Analytics - 3 credits
DS300 Methods of Data Science and Analytics - 3 credits
DS350 Data Mining - 3 credits
CS 355 Software Engineering - 3 credits
MA 112 Analytical Calculus II - 4 credits
EC360+361 Econometrics with R lab - 4 credits
BA 106 Data Visualization - 3 credits
DS400 Data Science and Analytics Capstone - 3 credits
Choose one from: International Finance, Global Marketing, International Business, Global Business Management - 3 credits
Electives: Marketing Research, Digital Analytics, Introduction to ERP Systems - 3 credits

Strongly Recommended Courses:

TH 282 - Techne and Agape: Faith in a Technological Age - 3 credits
PL 215 or PL 216 Ethics or Ethical Problems - 3 credits

Data Analytics Minor (19 credits)

Two Statistics Courses
MA 311 Probability and Statistics I - 3 credits
MA 312 Probability and Statistics II - 3 credits
BA 350 Statistics I - 3 credits
BA 351 Statistics II - 3 credits
PY 203 Statistics I - 3 credits
PY 204 Statistics II - 3 credits

Three data science courses
DS 100 Introduction to Data Science - 3 credits
CS Python 1 - 3 credits
DS 300 Methods of Data Science - 3 credits

Three elective courses
CS 110 C++ Programming I - 3 credits
BA 355 Advanced Business Analytics - 3 credits
BA 106 Data Visualization - 3 credits
BL Bioinformatics - 3 credits
SO 248 Epidemiology - 3 credits
ES 220 Introduction to GIS - 3 credits
EC 360 Econometrics - 3 credits



Accreditations and Affiliations
  • The McKenna School of Business has seven undergraduate programs and one graduate program accredited by the Accreditation Council for Business Schools and Programs (ACBSP). They are: Accounting, Business Education Information Technology, Business Economics, Finance, International Business, Management, Marketing and the Master of Science in Management: Operational Excellence graduate program. The Economics, Politics and Criminal Justice programs are not accredited through the ACBSP; however, all programs in the McKenna School have regional accreditation through the Middle States Association. The ACBSP is one of the two premier accrediting agencies for business schools worldwide. With a requirement for faculty professional development (e.g., publications and research) and courses primarily taught by faculty holding doctorates, the ACBSP is the leading business accreditation program devoted to teaching excellence and service to students.
  • The McKenna School is also a member of the Middle Atlantic Association of Colleges of Business Administration.
  • Student Learning Outcomes
    • Students will prepare and manage business data for analysis.
    • Students will use descriptive, predictive, and prescriptive analytics to inform data-driven managerial decision.
    • Students will clearly interpret and communicate analysis results to both colleagues and clients.
    • Students will explain the key ethical questions related to business data analytics applying professional ethical systems and Catholic Benedictine values.
    • Students will work effectively in teams utilizing project-management skills to complete business projects.