120 TOTAL CREDITS REQUIRED
The online B.B.A. in Data Analytics courses combine essential business topics with innovative data analysis tools. The program’s curriculum consists of 120 total credits, including 34-55 core credits, 36 business core credits, 24 from major business data analytics courses, 12 business elective credits, and up to 14 credits from college electives. As you complete your degree, you’ll develop expert skills in risk analysis, data modeling, data application, and more.
The curriculum course abstracts on this page are meant to provide a high-level course overview and subject to change based on term, faculty, and/or institutional requirements. View the official course descriptions written in the Utica University Academic Catalog and in adherence to regional compliance. Select the appropriate Undergraduate Catalog from the dropdown.
BUSINESS CORE REQUIREMENTS
Learn about financial statement communication, information processing, and measuring business income. Explore measurement and analysis of gross margin, short-term liquid assets, operating assets, short- and long-term liabilities, and cash flows.
Building on concepts learned in Accounting 201, you’ll use accounting information to make managerial decisions, as well as learn about product costing, activity-based costing and activity-based management. Gain an understanding of cost behavior and decision-making, as well as budgeting, performance evaluation, cash-flow analysis, and factors that go into making capital investment decisions.
Prerequisite: Accounting 201
Introduction to the legal system, sources of law, dispute resolution, government regulation of business, law related to employment, the environment, product liability, securities and antitrust.
Learn the principles of economics with a major emphasis on the theory of the market system (microeconomics), the economics of international trade, and current economic problems.
Learn the principles of economics with major emphasis on the system as a whole (macroeconomics) and the role of government through fiscal, monetary, and other policies to maintain full employment without inflation.
Gain an understanding of how to apply statistical methods to management and economics. Learn about descriptive statistics, probability, normal curve, sampling, confidence, and regression.
Prerequisites: Completion of mathematics and computer requirements in component one of core.
Students may not also take Psychology/Sociology 211 or Mathematics 112 for credit toward Core Goal 4: Quantitative Reasoning.
Learn business finance for small- or medium-sized corporations while understanding government regulation and how general business conditions affect financial plans and operations. You’ll examine promotion, expansion, methods of raising fixed capital, various types of securities, administration of income, and financial difficulties.
Prerequisites: Accounting 201 or permission of instructor.
Topics include algebra, analytic geometry, applications, elements of linear programming, and mathematics of finance.
Prerequisites: MAT 124, or satisfactory performance in Mathematics Placement Test administered by the mathematics department, or permission of instructor.
Learn the integrative nature of business; dynamic business environment, global markets, ethical behavior, social responsibility, forms of business ownership, and entrepreneurship; includes team training, oral and written business communications, and methods of researching business information.
Explore the principles of management and organizational theory. You’ll gain an understanding of all functional areas of management, with an emphasis on the key management responsibilities of planning, organizing, controlling, leading, and staffing. You’ll also examine ethical and social responsibilities, change, and global challenges.
Prerequisites: MGT 101 or CMG 103
Case study course integrating business strategy and policy formulation at the upper management levels. Includes analysis of internal and external environmental factors (i.e., competitive, economic, legal, global, etc.) Ethics, leadership, and social responsibility are also addressed.
Prerequisites: Senior Standing.
Learn basic marketing principles and practices including: marketing functions and policies, consumer demand, distribution channels; branding, promotion and advertising, pricing, place and location, ethics, global, economic, and legal implications.
BUSINESS DATA ANALYTICS REQUIREMENTS
This course introduces students to the use of spreadsheets in providing data-based solutions to business problems in accounting, economics, finance, and management. The course uses Microsoft Excel and will prepare students for the Microsoft Office Specialist (MOS) Excel 2019 Certification exam. In addition to the basic functions of Excel, the course will focus on visualization of data using graphs and charts, utilization of financial functions, statistical and analytical tools, templates, macros, and other advanced features.
This course introduces students to current issues in the utilization of business analytics (BA) in organizations. Topics include the concepts, methodologies, and tools to efficiently and effectively implement BA endeavors. Course activities emphasize using data analysis and modeling of business problems, developing models and interpretation, and effective communication of the results.
Prerequisite(s); if any: MAT 143 or MAT 201, BUS 123, ECN 241.
This course introduces students to the concept of relational databases which many organizations use to store data. Students will explore how programming languages are used to retrieve the information relevant to business data-driven decision-making. The topics covered include creating and using relational models and data modeling with entity-relationship diagrams, retrieving information from single and multiple tables, sorting and formatting data, and creating a database with tables.
Prerequisite(s); if any: BUS 123.
This course provides an introduction to programming tools. Students will learn how to use programming to retrieve, manipulate, and visualize data. Students do not need to possess prior programming experience. The course will introduce how to explore data structures within relevant programming environments, write control flow statements and functions, access data from the web and databases, and utilize data analysis libraries.
Prerequisite(s); if any: ECN 241.
This course explores predictive data analysis techniques in business-specific applications. Students will address business problems such as developing effective marketing strategies, predicting employee turnover, auditing, and credit approval decisions. Students will implement the techniques with statistical programming tools.
Prerequisite(s); if any: BUS 226 and BUS 343.
This course develops the essential business-specific data presentation skills through visualization tools and techniques. Students will learn how to employ visualization software as part of data storytelling.
Prerequisite(s); if any: BUS 226, MAT 151, or MAT 201.
Students will learn how to use the Monte Carlo simulation to improve data-driven decision-making and to address a variety of business problems, including questions of strategy, operational efficiency and quality issues, marketing decisions, and finance applications. Students will use simulation software to explore and attempt to resolve a variety of business problems.
Prerequisite(s); if any: BUS 343, BUS 353 and BUS 363.
This course provides an experiential opportunity for students to utilize what they have learned in previous business data analytics courses by exploring the implications, impact, and assumptions associated with model choice as it pertains to a real-world business problem. An emphasis is placed on framing the business problem, developing a data-driven solution or finding, and communicating findings and results.
Prerequisite(s); if any: BUS 353 and BUS 363.
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