Business Analytics

How can app-based delivery services increase productivity? Business analytics uses raw data analysis to solve problems like this. With business analytics, you will learn how to find actionable answers to complex company-specific and industry problems. 

The Business Analytics Co-Major is an applied program that complements a primary major. The goal is to shape students into data-driven professionals that can identify problems, develop solutions, and communicate findings—without the heavy scientific component.

View the Curriculum Guide. 

Major Pairings

Business analytics complements all business majors but is most often paired with supply chain management, accounting, and marketing.

Career Opportunities

Graduates can apply their skills to focused analyst roles in accounting/finance, marketing, supply chain management, operations, and more. 


Program Information

Three separate but related areas emerged in the last decade: data science, big data and data analytics. Our business analytics program intersects with elements of all three areas, emphasizing business applications and business skills but without the deep programming and machine learning skills that are required of data science.

Program Type






Required Credit Hours


From Our Students

Alec Asti

"Data analysis is a highly sought after skill right now, and Duquesne does it best. The professors offer real-world projects to help build the essential skills needed to succeed in the rapidly changing business world."

Alec Asti Accounting & Business Analytics Double Major

Course Descriptions: Required


3 credits

In this course, students learn one or more popular business analytics software tools (e.g., Excel, SAS, R, Python, and/or Tableau), along with the ability to apply those tools in a business setting using a variety of problem-solving methods. Those methods include descriptive analytics (use of both visual and numerical methods of describing data), data extraction, data transformation, and data analysis with light programming.


3 credits

Business operations generate large amounts of data. Knowing how to extract, analyze, and interpret financial information is critical for effective decision-making. This course introduces strategies and methods for developing meaningful business intelligence to assist managers in making decisions in complex decision environments.

3 credits

The capstone for the Business Analytics co-major will have students use technical skills and communication skills involving significant data analysis. The capstone course will be complementary to the major capstones and the Business School capstone. The structure of this course will be determined by the course coordinator/course instructor.

Prerequisite: BUBA 286


Business Analytics co-majors need 9 credits. Three credits will be shared with the primary major.

3 credits/ea.

ACCT 310
—Accounting Information Systems
BUAD 325—Data Analytics and Emerging Technologies in Accounting
ECON 322—Advanced Excel Modeling
ECON 481W—Econometrics
ECON 484W—Advanced Econometrics
FINC 334—Investments
ISYS 382—Data and Information Management
ISYS 484—Business Intelligence
MGMT 364W—Critical Managerial Decision Making
MKTG 374W—Marketing Research
MKTG 442—Digital Sales and Marketing Tools
MKTG 472—Digital Marketing
SCMG 385—SCM Information Systems and Technology
SCMG 480—Forecasting, Production, and Inventory Planning