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What can a business data science degree do for you?

Blend data and business

The sheer amount of data collected by businesses like Google, Facebook and Amazon is staggering—and they all need someone to interpret what it means.

With a degree in business data science from Susquehanna, that someone will be you.

You'll learn to manipulate large data sets and how to speak the language of data crunchers and C-suite executives. You'll be the one they consult to translate the numbers into actionable business intelligence.

Analytical skills grounded in business

Business data science at our AACSB-accredited business school will take your deep math skills and business acumen to new heights.

It's the perfect blend of our broad arts and sciences approach and acclaimed business curriculum—20 semester hours in math and computer science, 18 hours in business school analytics and the core classes completed by all business students.

Not many data analysts will list an international internship on their resume, but you'll be guaranteed one if you study through our London Program. International experience is an invaluable selling point for business graduates with future employers.

Meet the growing demand

From accounting firms to major consumer brands to healthcare systems, businesses of all types and sizes are collecting data.

We've heard from accounting firms that data analytics graduates can automatically earn an extra $10,000 in salary per year.

You'll show the value of your business data science degree again and again as you help companies produce big results due to your data-backed leadership.

Richard E. Orwig, Ph.D.

Department: Management
Associate Professor of Management

Email Address orwig@susqu.edu
Phone Number 570-372-4380

Ali H.M. Zadeh, Ph.D.

Department: Management
Professor of Finance

Emailazadeh@susqu.edu
Phone570-372-4189

Paul A. Dion, Ph.D.

Department: Management
Associate Professor of Management

Email Address dionp@susqu.edu
Phone Number 570-372-4034

Emma Fleck, Ph.D.

Department: Management
Associate Professor of Management

Emailflecke@susqu.edu
Phone570-372-4463

Christine Cooper Grace, Ph.D.

Department: Management
Associate Professor of Management

Email Address gracec@susqu.edu
Phone Number 570-372-4523

Mark A. Heuer, Ph.D.

Department: Management
Associate Professor of Management

Emailheuer@susqu.edu
Phone570-372-4448

Pat Polwitoon, Ph.D.

Department: Management
Associate Professor of Finance

Email Address polwitoon@susqu.edu
Phone Number 570-372-4749

James J. Pomykalski, Ph.D.

Department: Management
Associate Professor of Management

Emailpomykalski@susqu.edu
Phone570-372-4529

Shan Yan, Ph.D.

Department: Management
Associate Professor of Finance

Email Address yan@susqu.edu
Phone Number 570-372-4499

Peter Dadalt, Ph.D.

Department: Management
Assistant Professor of Finance

Emaildadalt@susqu.edu
Phone570-372-4524

Lori Ellison

Department: Management
Assistant Professor of Management

Email Address ellisonlori@susqu.edu
Phone Number 570-372-4745

Minjung Park

Department: Management
Assistant Professor of Marketing

Emailparkm@susqu.edu
Phone570-372-4576

Robert L. Williams Jr., Ph.D.

Department: Management
Assistant Professor of Marketing

Email Address williamsrl@susqu.edu
Phone Number 570-372-4464

Basil Holobetz

Department: Management
Visiting Assistant Professor of Management

Emailholobetz@susqu.edu
Phone570-372-4524

Requirements for the Majors offered by the Management Department. Students complete the business foundation courses and a major in business administration, business data science, finance, global management, luxury brand marketing and management, or marketing. No grade below C- will be accepted to fulfill major requirements or in any foundation course.

Semester Hours View Full Course Catalog >>

Business Foundation Courses

Year 1

4 ECON-201 Principles of Macroeconomics
4 ECON-202 Principles of Microeconomics
4 MGMT-202 Business Statistics
or MATH-108 Introduction to Statistics
or MATH-109 Statistics for Social Sciences
or MATH-180 Statistical Methods
or PSYC-123 Statistics for the Behavioral Sciences

Year 2

4 INFS-174 Database Systems Analysis and Design
4 ACCT-200 Financial Accounting
4 ACCT-210 Legal Environment
4 MGMT-203 Quantitative Methods for Business and Economic Decisions
4 MGMT-240 Principles of Management
4 MKTG-280 Marketing
2 MGMT-105 Introduction to Professional Development

Year 3

4 ACCT-330 Cost Management
4 FINC-340 Corporate Financial Management

Year 4

4 INFS-472 Management Support Systems
4 MGMT-400 Business Policy and Strategy
4 MGMT-404 Global Business Ethics

No grade below a C- will be accepted toward graduation for foundation courses; upon earning a grade below C- in a foundation course, the student must retake the course the next semester in which it is offered. The course descriptions listed later in the catalog identify prerequisites, and these suggest a certain degree of order in completing the foundation. In addition to the foundation, first-semester business students enroll in MGMT-102 Global Business Perspectives (four semester hours), which provides an introduction to liberal studies and college life, as well as an overview of business functional areas, career opportunities and the Sigmund Weis School curriculum. This course satisfies the Perspectives requirement of the Central Curriculum.

Business Data Science Major. Continuing advancements in technology enable organizations to collect and analyze increasing volumes of data that can inform strategic and operating decisions from a variety of business perspectives. Students complete the business foundation courses which enable students to understand and apply theories from economics, accounting, marketing, finance, information systems, and management. The business foundation courses are then complemented by coursework in the mathematical sciences. This combination of coursework enables students to understand the application of data science techniques to business decision making.

The business data science major requires completion of the Business Foundation and the courses, as follows:

4 CSCI-181 Principles of Computer Science
4 MATH-180 Statistical Methods
4 MATH-201 Linear Algebra
4 CSCI-301 Data Mining
4 CSCI-401 Machine Learning
2 INFS-505 Capstone

If a student completes MATH-180 Statistical Methods to fulfill the business foundations requirement, it may also be double-counted towards the required business data science courses. Courses that fulfill the Business Data Science Major requirement may not also be used to satisfy requirements of Minor in Data Science/Analytics.

Contact Us

Department of Management

514 University Ave.
Selinsgrove, Pa. 17870

Get Directions

Location

Apfelbaum Hall

Campus Map

Phone & Email

Rich Orwig, department head 
570-372-4380
orwig@susqu.edu

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