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
Major
Degree
Bachelor's
Duration
4-year
Required Credit Hours
66
"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."
Required Business Analytics co-majors need 9 credits. Three credits will be shared with the
primary major. From Our Students
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 286Electives
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