- BSAN301 - Business Intelligence
This course is an introduction to data-based decision making in business. It examines business problems and the sources of data, applications, infrastructure, tools, and best practices in business intelligence. This course includes information gathering, management, retrieval, and processing to optimize decisions and performance. Restrictions: Sophomore standing or school approval.
Credit Hours: 3
- BSAN302 - Data Science I
Introduction to data science. This course introduces the student to the process of data science from data gathering, to data exploration, to data modeling, to communicating the results. Emphasis is on business data and its application to business decision making. Introduction to data science tools and techniques. Prerequisite: BSAN 301 with a grade of C or better. Restrictions: Sophomore standing or higher or school approval.
Credit Hours: 3
- BSAN307 - Ethics of Analytics
This course explores the thoughtful balance and wide gaps between what is technically possible, what an organization would like to do, and what is legally allowable. Privacy, confidentiality, security, and data ethics policies and processes. Background and development of codes of data and analytics ethics. Restrictions: Sophomore standing or school approval.
Credit Hours: 3
- BSAN352 - Management Science
This course is an introduction to mathematical model building. The focus of this course is on modeling business problems and the solution techniques commonly used to solve such models. Topical coverage includes decision theory, mathematical programming, network models, scheduling models, queuing models, and simulation. Prerequisite: MATH 139, MATH 140; ACCT/FIN/MGMT 208, MGMT 318, MGMT 345 with a grade of C or better. Restrictions: College of Business and Analytics majors or minors, junior standing; or program approval required. Crosslisted with MGMT 352.
Credit Hours: 3
- BSAN403 - Data Science II
Advanced data science. Extensive exploration of data and its role in organizations. Analysis of large amounts of structured data as well as big data such as text, video, audio, and social media. Use of current analytics tools and techniques for applied data analysis and critical evaluation of next generation statistical techniques. Prerequisite: BSAN 302 with a grade of C or better.
Credit Hours: 3
- BSAN404 - Artificial Intelligence in Business
An introduction to artificial intelligence and expert systems and their application to business problems. We explore and implement AI: expert systems, neural nets, and deep learning systems. These systems are becoming critical to organizations as they try to cope with a rapidly changing world that is forcing them to make faster data-based decisions. This course will cover the history, promises, limitations, and future directions of artificial intelligence in business. Prerequisite: BSAN 301 with a grade of C or better.
Credit Hours: 3
- BSAN405 - Machine Learning in Business
Machine learning and its application to business data and business problems. Where AI and expert systems improve human decision making, machine learning is able to progressively improve its performance in detecting patterns in data and applying solutions with minimal human intervention in a rapidly changing environment. Tools, techniques, and processes for developing machine learning systems. Prerequisite: BSAN 404 with a grade of C or better.
Credit Hours: 3
- BSAN406 - Information Visualization
Computer-based information visualization helps people explore data through interactive software in order to gain meaningful and actionable insights. This course will help you to programmatically design cognitively useful spatial mapping of data with the purpose of aiding future decision making. This course covers topics including computer graphics and programming, human-computer interaction, semiotics, and cartography. Prerequisite: BSAN 301 with a grade of C or better.
Credit Hours: 3
- BSAN420 - Analytics of Project Management
Application of project management principles for improving business. Coverage includes, but is not limited to: introduction to the principles of project management, Project Management Institute (PMI) guidelines, US and international project management scenarios, and working together as a project management team. Students will work with Project Management Body of Knowledge (PMBOK) guidelines. Students will accrue enough education hours to sit for the PMI CAPM certification.
Credit Hours: 3
- BSAN421 - Information Systems Analysis and Design
Strategies and techniques for structured analysis and design in the development of information systems. System development using structured tools/techniques for describing process flows, data flows, and data structures. Alternative methods of system development are also discussed.
Credit Hours: 3
- BSAN462 - Working Capital Management
Liquidity analysis and management with a focus on managing cash, marketable securities, accounts receivable, inventory, banking relationships and short-term financing. Prerequisite: FIN 361 with a grade of C or better or concurrent enrollment. Restrictions: College of Business and Analytics majors or minors, junior standing or higher; or program approval required.
Credit Hours: 3
- BSAN463 - Introduction to Applied Econometrics
Applications of statistical tools to specific economic problems. Numerous examples will be examined in order to achieve this goal. Emphasis will be given to model misspecification, non-classical estimation techniques, data analysis, and simultaneous equations. This course includes a research project in which students formulate a research question, review literature related to the question, gather relevant data, and provide a research conclusion using tools learned in this and other courses. The student will communicate their research findings via a written paper, and if possible, via an oral presentation. Prerequisite: ACCT/ECON/FIN/MGMT 208 with a grade of C or better or consent of instructor.
Credit Hours: 3
- BSAN464 - Forecasting and Capital Budgeting
Long-term forecasting techniques used in business; alternative approaches to capital structure decisions, cost of capital measurement; and performance measurement for investment decisions including mergers and leasing; explicit consideration of certainty, risk, and uncertainty in investment analysis; theory and applications in private and public sectors. Prerequisite: FIN 361 with a grade of C or better or concurrent enrollment. Restrictions: College of Business and Analytics majors or minors, junior standing or higher; or departmental approval required.
Credit Hours: 3
- BSAN469 - Financial Analytics and Security Valuation
Study of the corporation's financial problems and their causes and solutions. Emphasis given to the impact of these financial problems on how the market values securities. Topics include liquidity and leverage analysis, analysis of profitability, and other financial analysis tools. Prerequisite: FIN 361 with a grade of C or better. Restrictions: College of Business and Analytics majors, junior standing or higher; or school approval required.
Credit Hours: 3
- BSAN480 - Marketing Research and Analysis
The purpose of this course is to teach you the skills needed to execute marketing research projects or use marketing research information to make better marketing decisions. To do this, the course covers the techniques such as, determining if marketing research is needed, problem definition, research designs, survey design, sampling issues, data collection, and data analysis. The course also covers interpretation of results as well as recommendations for marketing managers/take-aways from the research. The deliverable for this course is a full marketing research report. Prerequisites: MATH 139; ACCT/ECON/FIN/MGMT 208 and MKTG 304 with a grade of C or higher. Restrictions: College of Business and Analytics majors, junior standing; program approval required.
Credit Hours: 3
- BSAN491 - Independent Project in Business Analytics
BSAN 491 allows students to pursue an independent project working one-on-one with a faculty member in the BSAN program. The objective is for students to apply what they have learned in the program to a novel project fitting the student's interests. A student will identify a business problem, design a methodology for solving that problem, and execute that methodology to determine a best strategy for the business. Prerequisites: MGMT 360, BSAN 301, BSAN 302, and BSAN 403, each with a minimum of a C; completion or concurrent enrollment in BSAN 406; and prior approval from Business Analytics Program Coordinator.
Credit Hours: 3
- BSAN494 - Data Analysis in Marketing
This course is designed to equip marketing and other business students with the ability to translate data into actionable managerial decisions. Students learn how to manage and analyze data, which is available to organizations more than ever before, through a systematic process which includes data management (preparing data for analysis) and applied quantitative analysis, including statistical models. The focus will be on decisions that marketing managers have to make on a daily basis including marketing mix decisions. Prerequisite: MKTG 480 with a C or better.
Credit Hours: 3
- BSAN495 - Internship in Business Analytics
Supervised work experience that relates to the student's academic program and career objectives. Course credit can be used to satisfy the 300-400 level CoBA elective. If the student has already satisfied the 300-400 level CoBA elective, the student can apply credit towards the general elective requirement of the BSAN major. Mandatory Pass/Fail only. Not for graduate credit. Restrictions: Business Analytics majors, junior standing or higher. Special approval needed from the School. Student can take course for two semesters.
Credit Hours: 3
