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Business Analytics, Bachelor of Science
Transform data into business decisions through a curriculum that blends analytics, technology, and business strategy.
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A Business Analytics degree prepares you to turn data into smarter business decisions. At Tobin, you'll combine business strategy, data analytics, and artificial intelligence to solve real business challenges, uncover insights, and help organizations make informed decisions. With artificial intelligence integrated throughout the curriculum, you'll gain practical, hands on AI experience while learning to transform complex data into compelling stories that drive business strategy.
- Degree Type
- BS
- Area of Interest
- Business
- Associated Colleges or Schools
- Program Location
- Queens Campus
- Required Credit Hours
- 120
Why Study Business Analytics at Tobin?
Turn Data Into Decisions
Learn to collect, analyze, interpret, and visualize data to solve complex business problems. Build dashboards and transform complex findings into clear, actionable insights that help organizations improve performance and make smarter decisions.
Artificial Intelligence & Analytics
Develop in demand skills in artificial intelligence, machine learning, predictive analytics, data mining, data visualization, and business analytics through hands on coursework that reflects how organizations use AI to improve decision making.
Build a Career with Data
Prepare for opportunities in business analytics, consulting, finance, marketing, e-commerce, healthcare, technology, sports analytics, and other fields where the ability to turn data into business insights is increasingly valuable.
What You'll Study
The Business Analytics curriculum combines business fundamentals with analytical and technical expertise, preparing you to solve complex business challenges through data. You'll learn how to collect, analyze, visualize, and interpret data while developing the quantitative and computational skills organizations rely on to make informed decisions.
Core coursework includes:
- Business Analytics
- Big Data and Data Mining
- Predictive Analytics and Business Forecasting
- Business Research Methods
Customize your studies with electives such as:
- Artificial Intelligence (AI) for Business
- Foundations of Artificial Intelligence for Business
- Responsible Artificial Intelligence and Governance
- Machine Learning for Business
- Data Visualization
- Sports Analytics
- Applied Text Analytics
- Business Applications Software
- Data and Database Management
- Object-Oriented Programming
- BUA 1333: Modern Statistics I (Liberal Arts)
- ECO 1301: Microeconomics
- ECO 1302: Macroeconomics
- ECO 1320: Social Justice
- ENG 1100: English
- FYS 1000: First Year Seminar
- FYW 1000: First Year Writing
- HIS 1000: History
- Language (6 credits)
- Liberal Art Electives (9-15 credits)
- PHI 1000: Philosophy of the Human Person
- PHI 2220 (Ethics and Business) or THE 3305 (Theological Ethics of the Marketplace)
- PHI 3000: Metaphysics
- SCI 1000: Scientific Inquiry
- SPE 1000: Speech
- THE 1000: Theology
- THE: Sacred Texts
- ACC 2338: Principles of Financial Accounting
- BUA 2334: Modern Statistics II
- Business Elective (6 credits)
- FIN 2310: Foundations in Finance
- General Elective (6 credits)
- LAW 1310: Law in a Business Environment
- MGT 1301: Administrative and Organizational Behavior
- MGT 3325: Managing Operations
- MGT 4329: Strategy and Policy
- MKT 2301: Principles of Marketing
- RMI 1301: Principles of Risk Management
- Tech Elective (3 credits)
Note: Business core may vary if pursuing a Fast Track program.
- BUA 3330: Introduction to Business Analytics
- BUA 3336: Big Data & Data Mining for Business
- BUA 3337: Predictive Analysis & Business Forecasting
- BUA 3350: Business Research Methods
Restricted Electives (Choose one from the following)
- BUA 3311: Fundamental of Machine Learning
- BUA 3346: Optimization for Business Decision Making
- IS 3351: Object Learning Programing
Professional Electives (Choose one from the following)
- BUA 3310: Data Visualization Principles and Techniques
- BUA 3311: Fundamentals of Machine Learning
- BUA 3312: Sport Analytics: A Managerial Perspective
- BUA 3313: Applied Text Analysis for Business
- BUA 3314: Introduction to Artificial Intelligence for Business
- BUA 3338: Optimization and Simulation Methodology
- BUA 3346: Optimization for Business Decision Making
- IS 1332: Computer Systems and Software for Business Applications
- IS 3339: Business Applications Software
- IS 3347: Business Data Communications and Network
- IS 3351: Object Oriented Programming
- IS 3352: Database Management
Looking for official degree requirements? View the Undergraduate Bulletin for complete academic policies, prerequisites, and the most current program requirements.
Experience Business Analytics in Action
Data is most valuable when it's applied to real business problems. At Tobin, you'll strengthen your classroom learning through hands on experiences that prepare you for the workplace while building your resume.
Experiential learning opportunities include:
- Internships with leading employers throughout New York City
- Business competitions and case challenges, such as the NYC Business Analytics Competition
- Consulting projects with real businesses with Tobin Strategic Consulting (TSC)
- Faculty mentored research
- Student organizations and leadership opportunities
- Global Destination Courses that explore business in an international context
Where Can a Business Analytics Degree Take You?
Organizations across every industry rely on data to solve problems, identify opportunities, and make smarter decisions. A Business Analytics degree prepares you with the analytical, technical, and business skills needed to succeed in a wide range of careers where data drives strategy and innovation.
Career paths include:
- Business Analyst
- Data Analyst
- Analytics Consultant
- Business Intelligence Analyst
- Market Research Analyst
- Operations Analyst
- Banking Analyst
- Credit Analyst
- Sports Analyst
Accelerate Your Education
Continue building your credentials while saving time and tuition through one of Tobin's accelerated degree pathways. Fast-Track programs are cost-efficient and time-saving ways to provide students the opportunity to advance to a master’s degree from their B.S. in Business Analytics. Students who select a fast-track into an advanced degree must complete an online application and must meet the admission standards for that graduate program. Students should seek early program guidance from their adviser in anticipation of applying to a Fast-Track Program. Available Fast Track programs for Business Analytics major are:
- B.S. Business Analytics/M.S. Accounting
- B.S. Business Analytics/M.S. Actuarial Science
- B.S. Business Analytics/M.S. Business Analytics
- B.S. Business Analytics/M.S. Enterprise Risk Management
- B.S. Business Analytics/M.S. Entrepreneurship and Innovation
- B.S. Business Analytics/M.S. Finance
- B.S. Business Analytics/M.S. Global Management
- B.S. Business Analytics/M.S. Marketing Intelligence
- B.S. Business Analytics/M.S. Risk and Financial Advisory
- B.S. Business Analytics/M.S. Risk Management & Risk Analytics
- B.S. Business Analytics/M.S. Taxation
- B.S. Business Analytics/Master of Business Administration
Admission
For more information about admission to this and other acclaimed undergraduate programs at St. John’s University, please visit Undergraduate Admission online. Or contact us directly at the campus of your choice:
Admission Office - Queens Campus
718-990-2000
[email protected]
Department Contact
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