BS in Business Data Science
Selinsgrove, USA
DURATION
4 Years
LANGUAGES
English
PACE
Full time
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STUDY FORMAT
On-Campus
Scholarships
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Introduction
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 helps you gain a better understanding of important topics in today’s world.
A 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.
Trade like a Pro
Gain practical experience for your business career in a fun, interactive setting — our trading room features 11 Bloomberg terminals with specialized keyboards, double-screen displays, and professional investment software.
Using the same technology as the world’s leading banks, corporations, and government agencies, you’ll learn to utilize leading indicators, research, and news in real-time. You’ll evaluate economic scenarios and place trades while you gain insight into how financial markets impact the global economy.
By earning a coveted Bloomberg Certification through your coursework, you’ll have a huge advantage over your peers when you search for undergraduate internships and employment after college.
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Curriculum
Requirements for Major
When you enroll at Susquehanna, you’ll be paired with an advisor and application tool to guide you in your course planning and scheduling. The following is an excerpt from the complete course catalog. Enrolled students follow the requirements of the course catalog for the academic year in which they declare each major and/or minor, consult with their advisor(s) and the Academic Planning Tool.
Requirements for the Majors offered by the Finance and Analytics Department
Students complete the business foundation courses and a major in Business Data Science or Finance. No grade below C- will be accepted to fulfill major requirements or in any foundation course.
Double-counting restriction
No student may have more than one major in the Sigmund Weis School of Business.
Business Foundation Courses
Year 1
- 4 or 2 MGMT-195 Global Business Perspectives or MGMT-138 Fundamentals of Business
- 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-180 Statistical Methods
- or PSYC-123 Statistics for the Behavioral Sciences
Year 2
- 4 INFS-174 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
Year 3
- 4 ACCT-330 Managerial Accounting
- 4 FINC-340 Corporate Financial Management
Year 4
- 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-195 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 First Year Seminar requirement of the Central Curriculum.
Business Data Science
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.
- 4 CSCI-181 Principles of Computer Science
- 4 CSCI-281 Data Structures
- 4 MATH-201 Linear Algebra
- 4 CSCI-301 Data Mining
- 4 CSCI-401 Machine Learning
- 2 INFS-505 Capstone
Courses that fulfill the Business Data Science major requirement may not also be used to satisfy the requirements of a minor in Data Science/Analytics. In addition, students in this major may not also have a minor in Computer Science.
Courses Options
Finance Courses
- FINC 300 Financial Statement Analysis, Credits: 4
- FINC 340 Corporate Financial Management, Credits: 4
- FINC 342 Investment Analysis, Credits: 4
- FINC 344 Financial Institutions and Markets, Credits: 4
- FINC 345 International Financial Management, Credits: 4
- FINC 350 River Hawk: Sector Analysis, Credits: 2
- FINC 441 Advanced Corporate Financial Management, Credits: 4
- FINC 442 Portfolio Management, Credits: 4
- FINC 443 Equity Asset Analysis and Valuation, Credits: 4
- FINC 445 Financial Modeling & Income Analysis, Credits: 4
- FINC 446 Topics in Finance, Credits: 1–4
- FINC 450 River Hawk Fund, Credits: 4
- FINC 501 Independent Study, Credits: 1–4
Information Systems Courses
- INFS 174 Data Collection and Modeling, Credits: 4
- INFS 233 Data-Driven Decision Making, Credits: 2
- INFS 271 E-Business Applications Development, Credits: 4
- INFS 276 Simulation Models, Credits: 2
- INFS 375 Database Programming, Credits: 4
- INFS 472 Data Insight and Visualization, Credits: 4
- INFS 485 Artificial Intelligence, Credits: 2
- INFS 496 Topics in Information Systems, Credits: 1–4
- INFS 501 Independent Study, Credits: 1–4
- INFS 502 Independent Research, Credits: 1–4
- INFS 503 Information Systems Internship, Credits: 1–4
- INFS 504 Internship, Credits: 4
- INFS 505 Capstone, Credits: 2
Sigmund Weis School of Business London Program Courses
- INTD 133 British Theatre, Credits: 4
- INTD 134 British History/Culture London, Credits: 4
- OFFP SWSB SWSB London Program Planning, Credits: 1
- OFFR SWSB SWSB London Program Reflection, Credits: 1