Analytical Skills Grounded in 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. From accounting firms to major consumer brands to healthcare systems, businesses of all types and sizes are collecting data.
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.
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.
Because our bold curriculum is rooted in the liberal arts, you will develop essential skills that employers seek, like writing, teamwork, presentations, critical thinking, interpersonal relationships and leadership. Adding an interdisciplinary minor help you gain a better understanding of important topics in today’s world.
World-Class Accredited Degree Opens Doors
Our Sigmund Weis School of Business is accredited by AACSB International. Less than 5% of the 15,000+ business programs worldwide have earned AACSB accreditation, making our program part of an elite group.
For you, it means top companies will recognize the high quality of your degree, often offering higher, more competitive salaries. We've heard from accounting firms that data analytics graduates can automatically earn an extra $10,000 in salary per year.
The powerful combination of our AACSB-accredited program and global experiences prepare you for a successful career. Whether you ultimately work in the U.S. or elsewhere, you'll have an edge with international perspective and proficiency.
Ninety-eight percent of Susquehanna graduates have jobs within six months of graduation.
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
|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|
|4 INFS-174 Database Data Collection and Modeling|
|4 ACCT-200 Financial Accounting|
|4 ACCT-210 Legal Environment|
|2 INFS-233 Data Driven Decision Making|
|4 MGMT-240 Principles of Management|
|4 MKTG-280 Marketing|
|2 MGMT-105 Introduction to Professional Development|
|4 ACCT-330 Cost Management|
|4 FINC-340 Corporate Financial Management|
|4 INFS-472 Data Insight and Visualization|
|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.