Business Analytics

A basic introduction to data analysis, descriptive statistics, probability, Bayes’ Theorem, distributions of random variables and topics in statistical inference. (Students may earn credit for only one of the introductory statistics courses offered by the departments of management, psychology or mathematics.) 4 SH. CC: Analytical Thought.

This course offers an overview of business fundamentals, functional areas of business, business careers and opportunities provided by the Sigmund Weis School of Business. The course enables students to assess their interest in business, and it prepares them for their subsequent business courses and careers. A project-based approach enables the integration of critical thinking, strategic analysis, teamwork and communication skills. The course culminates with team presentations of case analyses to invited business executives. Business majors only. Credit may not be received for both MGMT-196 and MGMT-138. 4SH. CC: First-Year Seminar.

An introductory course in computer science for majors. Also open to nonmajors. Emphasizes computer problem-solving methods and algorithmic development. Topics include programming in Python or a comparable language, techniques of good programming style, data types, file and screen input and output, control structures, subroutines, recursion, arrays, and pointers. 4 SH. CC: Analytical Thought.

Introduces aggregate economics. Emphasizes current issues such as unemployment, inflation, stagflation, monetary and fiscal policies and international economics. 4 SH. CC: Social Interactions.

This course deals primarily with projects that collect and structure data as part of the preparation for data analysis and visualization. Major emphasis is placed on managing a data collection project and data structuring to provide the basis for algorithmic analysis. Students will study project management, data manipulation, data modeling and Structured Query Language. 4 SH.

Provides an introduction to the basic concepts and standards underlying financial accounting systems. Focuses on recording and communicating financial information for use by investors, creditors, regulators and other external uses. Covers theoretical and practical issues related to the accounting and reporting of assets, liabilities, owners’ equity, revenues, expenses, gains and losses. Basic financial ratios are introduced and interpreted. Prerequisites: School of Business major or sophomore standing. 4 SH.

Second course in computer programming. Stresses the interplay between algorithms, data structures and their implementations. Topics include stacks, queues, linked lists, sorting, searching, binary trees and graphs. Prerequisite: CSCI-181 Principles of Computer Science.

This course examines the essentials of management: planning, organizing, leading and controlling. Within this structure, students will explore how managers deal with the turbulent environment of business and the increasing complexity brought on by globalization and technological innovation. 4 SH.

This course focuses on identifying and clarifying individual values, skills, interests and personality type to develop suitable career objectives, placing emphasis on the connections between career preparation, academic choices and co-curricular activities. Students learn how to construct a resume and cover letter and how to conduct an employment search. Primary theories used to teach career planning and development include trait and factor, developmental, learning and socioeconomic theories. Prerequisite: sophomore standing. 2 SH.

The legal environment as it relates to business. Considers essential elements of consumer protection law, employment law, environmental regulation, court procedures, torts, introduction to contracts, agency law and selected laws regarding corporations. Prerequisite: sophomore standing. 4 SH. CC: Ethics Intensive, Interdisciplinary.

Provides an introduction to the fundamental concepts and commonly used tools in managerial accounting. Focuses on how to identify, measure, analyze and interpret accounting information from the manager’s perspective. Topics include traditional and emerging costing systems, cost behaviors, cost-volume-profit analysis, variance analysis, performance evaluation and management decision making. Prerequisites: ACCT-200. 4 SH.

This course enables students to advance their knowledge of statistical techniques to synthesize, analyze and draw insights from quantitative data. It emphasizes the application of mathematical and quantitative methods and Microsoft Excel to analyze and present data to improve business and economic decision making. Prerequisite: MATH-108, MATH-180, MGMT-202 or PSYC-123. 2 SH.

Calculus of several variables, partial derivatives, critical points, multiple integrals, gradient, curl, divergence, Green’s, Stokes’ and Divergence Theorems. Prerequisites: MATH-112 Calculus II and MATH-201 Linear Algebra. 4 SH.

The study of business activities planned and implemented to facilitate the exchange or transfer of products and services so that both parties benefit. Examines markets and segments, as well as product, price, promotion and channel variable decisions. Considers marketing in profit and nonprofit sectors and in the international setting. 4 SH.

This course provides an introduction to the concepts in the automatic extraction of implicit, previously unknown and potentially useful information from large data sets generated in commerce, science and other fields. Topics include preprocessing of the data, application of the fundamental algorithms on the prepared data and interpretation of the patterns discovered by the algorithms. Introduced are the fundamental algorithms for supervised learning, including classification and numerical prediction and unsupervised learning, which includes association rules and clustering. Prerequisites: CSCI-181 and either MATH-180 or both MATH-108 and INFS-233. 4 SH.

Examines the theory and practice of corporate financial management. Topics include the financial environment, time value of money, bond and stock valuation, and the capital asset pricing model. Also covers analysis of financial statements, financial forecasting, capital budgeting, long-term financing decisions, the cost of capital, capital structure, dividend policy and working capital management. Prerequisites: an introductory statistics course (MATH-108, MATH-180, MGMT-202 or PSYC-123), ACCT-200, and either ECON-105 or both ECON-201 and ECON-202. 4 SH.

Business Analytics

Choose from a variety of elective courses within this program to customize your goals.

The capstone course for business seniors integrates much of the knowledge they gain from earlier courses. Uses a case method approach to solve problems facing top management. Emphasizes the global environment and strategic management decisions. Covers finance, management, marketing, technology, geography, leadership and other factors in both domestic and international cases. Heavy emphasis on the development of analytical skills and both written and oral communications skills. Prerequisites: senior standing and FINC-340, ACCT-330 and either MGMT-240 or MGMT-360. 4 SH. Capstone. CC: Writing Intensive.

Business Analytics

Choose from a variety of elective courses within this program to customize your goals.

Business Analytics

Choose from a variety of elective courses within this program to customize your goals.

This course provides an introduction to the systematic study of algorithms and systems that improve their knowledge or performance with experience. A statistical approach that emphasizes concepts and the implementation of the methods is presented to make sense of large and complex data. Topics include linear regression, classification, resampling methods, shrinkage approaches, tree-based methods, support vector machines and clustering. Prerequisites: MATH-180 Statistical Methods (or both MATH-108 Intro to Statistics and INFS-233 Data Driven Decision Making), MATH-201 Linear Algebra, and CSCI-181 Principles of Computer Science. 4 SH.

This course provides a framework for understanding the technologies associated with algorithmic analysis and data presentation for business decision-making. Students will study analysis techniques that enable insights and patterns to be drawn from descriptive, predictive and prescriptive analytics. Student teams research and present tools that support these techniques, which are also investigated through individual research projects. Prerequisites: INFS-174. 4 SH. CC: Writing Intensive.

This semester-long course serves as a capstone experience for business data science majors. Students will engage in projects that can benefit a university or community group. This course requies students to integrate principles learned from their data science and business foundations coursework. These projects will change each year based on requests and arrangements made through the faculty in the Department of Finance and Analytics. The projects largely will focus the students on the development of data analytical solutions to solve analytical problems associated with large volumes of data. Prerequisites: INFS-174, CSCI-301 and senior standing. 2 SH. Capstone.

Business Analytics

Choose from a variety of elective courses within this program to customize your goals.