Financial Statement Analysis and Forecasting (ACCT:9040)
Use of corporate financial statements for investment and lending decisions; emphasis on financial analysis techniques, valuation, business analysis, cash flow projections, credit scoring, related research evidence. (3 s.h.)  Pre-req: MBA:8140. Recommendations: MBA:8180 or prior undergraduate finance course. 

Strategic Cost Analysis (ACCT:9020)
Introduction to cost accumulation, reporting, cost management systems; managerial and divisional performance evaluation; appropriate use of cost data for short- and long-run decisions; product costing in manufacturing and service industries. (3 s.h.)  Pre-req: MBA:8140. 

Advanced Analytics (BAIS:9110)
Development of data-driven, problem-solving skills for prediction of uncertain outcomes and prescription of business solutions; linear and nonlinear regression, Monte Carlo simulation, forecasting, data mining, and optimization utilizing spreadsheets and dedicated software packages. (3 s.h.)  Prerequisite: MBA:8150 or BAIS:9100

Data Management (BAIS:6050)
Understanding how data is stored in databases and learning the tools used to access the data is key to creating datasets to answer many business questions; how to manage and access data in relational databases. (Formerly BAIS:9230 Database Systems) (3 s.h.)

Data Programming in Python (BAIS:6040)
Introduction to principles and practices of handling, cleaning, processing, and visualizing data using the Python programming language; basic data programming skills that can be applied to software development in any high-level programming language, data types, control structures, functions and modules, and other useful libraries for data manipulation and machine learning applications in Python. (3 s.h.) 

Data Science (BAIS:6070)
Underlying concepts and practical computational skills of data mining tools including penalty-based variable selection (LASSO), logistic regression, regression and classification trees, clustering methods, principal components and partial least squares; analysis of text and network data; theory behind most useful data-mining tools and how to use these tools in real-world situations; software for analysis, exploration, and simplification of large high-dimensional data sets. (3 s.h.)  Prerequisites: {MBA:8150 or BAIS:9100} and BAIS:6040 

Visual Analytics (BAIS:6140)
This course exposes students to the problems and challenges of effectively interpreting and communicating the pervasive data that surrounds us. It covers the area of information visualization, grounded in theoretical foundations of visual perception, cognition, information design, human-computer interaction, and the analysis of quantitative, unstructured and relational data. The course will follow a lecture/seminar style with discussion of assigned readings, critiquing of visualization examples, hands-on experience with commercial information visualization tools like Tableau, Power BI, and exploration of select open-source information visualization toolkits. (3 s.h.)

Agile Project Management (BAIS:9140)
This course prepares students to create or participate in a successful agile work environment. Students will learn various agile methods such as scrum, lean, Kanban, XP, as well as understand and apply tools, techniques, and approaches used in an agile setting. Students will understand how to apply advanced agile topics such as story mapping, advanced planning and estimating, and scaling methods. (3 s.h.)

Applied Deep Learning (BAIS:6250)
This course introduces students to deep learning and its practical applications. Students will learn key architectures such as convolutional neural networks, recurrent neural networks, and transformers. Students will explore their practical uses in natural language processing, computer vision, and time series forecasting, and gain hands-on experience with Python libraries like PyTorch. (3 s.h.)  Prerequisites: {MBA:8150 or BAIS:9100}, BAIS:6040, and BAIS:6070

Applied Optimization (BAIS:6130)
This course will use optimization to make tactical, strategic decisions and to build machine-learning and AI models. Students will be introduced to advanced optimization skills including data collection and preparation, logical modeling, algorithm enhancements, solution interpretation and implementation, experience within a software environment, and applications in the various functional areas of business. (3 s.h.)  Prerequisites: {MBA:8150 or BAIS:9100} and BAIS:6040

Cybersecurity (BAIS:6280)
High-level view of computer security and fostering a cybersecurity mindset which is in demand across all industries; frequent change of perspective from employee to CEO, casual home user, and hacker; broad range of topics; actionable items to make daily digital interactions more secure. (3 s.h.)

Data Leadership and Management (BAIS:6210)
Core chief information officer (CIO) basics; focus on how to keep technology, systems, and procedures supporting business goal outcomes including management of information technology (IT) teams, systems selection, vendor negotiation, change, information risk, data integrity, ethics, information system (IS) policies, strategies, cloud computing, and budget.  (3 s.h.)

Generative AI (BAIS:6260)
This course offers an introduction to the basics of generative artificial intelligence (AI) models and their practical applications. Students will explore key concepts like modal representation and generative models, learning the scalability aspects of these models and the implementation techniques such as pretraining, finetuning, and prompt engineering. The course emphasizes hands-on skills, including how to work with pretrained models, evaluate performance, and ensure alignment with goals. Business case studies will help students understand how to apply AI responsibly and set realistic expectations for its use. Ethical issues, privacy concerns, and the regulatory landscape will also be discussed to prepare students for the challenges for using AI in real-world settings. (3 s.h.)  Prerequisites: {MBA:8150 or BAIS:9100}, BAIS:6040, BAIS:6070, and BAIS:6250

Innovations in Technology (BAIS:9300)
Current innovations in technology; examination of virtual reality including basics, hardware and history, applications, psychology; focus on experiencing prebuilt environments to develop an understanding of how virtual reality can be used in different industries rather than on building virtual reality environments; technical background not required. (3 s.h.) MSBA students: This course counts as a business elective only.

Social Analytics (BAIS:6105)
Exploration of collection, management, and analysis of social data (interactions among actors); actors as individuals, organizations, or other collectives; sources for social data including social media, websites, annual reports, press releases, articles, and other traditional media. (3 s.h.)  Prerequisites: BAIS:6040 and BAIS:6070

Text Analytics (BAIS:6100)
Concepts and techniques of text mining; the practice of using statistical tools to automatically extract meaning and patterns from collections of text documents. Topics include document representation, text classification and clustering, sentiment analysis, and topic modeling. (3 s.h.)  Prerequisites: BAIS:6040 and BAIS:6070

Value Creation Using AI (BAIS:6240)
Comprehensive understanding of how artificial intelligence (AI) can be harnessed to create value in various business sectors including AI fundamentals; frameworks for value creation; competitive strategies using AI; critical success factors for AI-based projects; and the identification of impactful use cases for a given industry. Ethical considerations, privacy, trust, and security issues related to AI will also be addressed. (3 s.h.)

Digital Economics (ECON:9100)
Fundamentals of customer experience (CX) management leveraging principles of behavioral science and design thinking; value creation through journey mapping; experience prototyping; creating a customer-centric culture; CX technology and trends, including AI, AR/VR, IoT, and personalization; multisensory product and service design; measuring and evaluating CX initiatives. (3 s.h.)  Prerequisite: MBA:8160

Entrepreneurial Finance (ENTR:9200)
Financial aspects of launching and growing entrepreneurial ventures; topics include financial feasibility, financial forecasting and cashflow management, business valuation, sources of venture financing, deal structure, financing growth, and exit strategies. (3 s.h.) Prerequisite: MBA:8140 

Entrepreneurship and Innovation (ENTR:9100)
The entrepreneurial process from conception to birth of a new venture; attributes of successful entrepreneurs, innovation and creativity, opportunity recognition, venture screening, identification of resources, feasibility analysis. Do not enroll in this course if you previously enrolled in ENTR:9400 as the content is similar and both cannot be counted toward your degree.  (3 s.h.)

Design Thinking (ENTR:9300)
Introduction to concepts of design thinking—a human-centered approach to developing products, services, and experiences; methods and mindset of design thinking including identifying the problem, gathering customer insights, ideating a solution, developing a prototype, experimenting, and iterating based on customer feedback to creatively develop solutions that are desirable, feasible, and viable. (3 s.h.)

Strategic Management of Technology and Innovation (ENTR:9450)
Role of technology in creation, growth, and survival of industries; processes, risks, and rewards of technological innovation and commercialization; successful approaches to developing technological strategy and products. (3 s.h.)

Corporate Financial Strategy (FIN:9310)
Major strategic decisions within the corporate form; risk management, including why firms engage in it, their methods for doing so, and exercises in the simulation of uncertainty; dividends and repurchases under the payout policy decision; corporate governance topics, including executive compensation, board structure, and institutional monitoring; merger and acquisitions analysis, including regulation, valuation, anti-takeover devices, payment method, and LBOs; divestitures and other restructuring topics, including corporate diversification, spin-offs, carve-outs, private workouts, and Chapter 11. (3 s.h.)  Prerequisite: MBA:8180

Corporate Investment & Finance Decisions (FIN:9300)
Underpinnings and optimization of corporations’ investment and financing decisions; firm-wide and project-specific cost of capital, optimal capital structure decisions; in-depth capital budgeting methods, including real options techniques; corporate investment module of the class includes simulation analysis using Crystal Ball; cost of capital, valuation techniques, advanced capital budgeting, capital structure and dividend policy, option pricing models applied to corporate finance. (3 s.h.)  Prerequisite: MBA:8180 

Corporate Risk Management and Insurance (FIN:9130)
Introduction to corporate risk management and the risk management process; how insurance can be used as a risk management tool; standard commercial property and liability insurance contracts and their applications; fundamentals of insurance company operations and their distribution channels, rate making, underwriting, and claim settlements. (3 s.h.)

Derivatives (FIN:9210)
Examination of the wide range of derivative securities that cover the financial landscape; the market place, trading, and investors; different derivative securities in existence, their relationship with the underlying securities, and pricing; applications of derivative securities to risk management and speculation; application of principles to fixed income, international finance, real estate, and securitization. (3 s.h.)  Prerequisites: MBA:8180 and FIN:9200 

Enterprise Risk Management  (formerly Corporate and Financial Risk Management) (FIN:9140)
This course studies the analysis and treatment of risks faced by businesses. It analyzes how risk management creates value in corporations, includes the development and implementation of the risk management process, and explores the application of various risk management techniques to identified exposures. Case studies are utilized to study how businesses manage risk and how insurance and other risk management tools help reduce the cost of risk. (3 s.h.)  Prerequisite: MBA:8180

Financial Modeling and Firm Valuation (FIN:9150)
How to model firm value from a discounted cash flow perspective; identify a company’s key value drivers, create spreadsheet valuation models; projected financial valuation integrates projected pro forma accounting statements; forecasting, free cash flow estimation, industry competitive analysis. (3 s.h.)  Prerequisite: MBA:8180 

Portfolio Management (FIN:9200)
Introduction to fundamental elements of modern portfolio theory, application to investment analysis; investment environment, instruments, types of investors; concepts of risk and return, broad perspective on historical risk and return of various asset classes; asset allocation decision, risk and return dynamics of a multiple securities portfolio; varied asset pricing models, how capital markets work for investors and users of capital. (3 s.h.)  Prerequisite: MBA:8180 

Quantitative Finance and Deep Learning (FIN:9160)
Quantitative techniques in investment and trading with focus on machine learning approaches; introduction to quantitative approaches already popular in investment and trading including quantitative security selection, portfolio construction, statistical arbitrage, and algorithm trading; emerging machine learning techniques in financial industry including advanced regression methods, news sentiment analysis, and deep learning with applications in price forecasting and high frequency trading.  (3 s.h.)

Real Estate Finance and Investments (FIN:9230)
In-depth understanding of concepts and techniques of real estate financial analysis, equity investment decision making; real estate investing from analysis of developments through the securitization of mortgages; mortgage markets and pricing, real estate finance and investments, mortgage-backed securities, development process, real estate valuation, tax effects, securitized real estate, real estate cycles, application of derivative instruments, strategic asset allocation. (3 s.h.)  Prerequisite: MBA:8180 

Wealth Management (FIN:9350)
Rapid growth of the field of wealth management over several decades, driven by general increase in personal wealth and increased responsibility for individuals to manage their own wealth; knowledge and tools to enter the financial services industry; financial planning industry, client characteristics, tax shield structures, insurance, asset allocation plans, estate planning, behavioral finance. (3 s.h.)  Prerequisite: MBA:8180

Corporate Social Responsibility and Sustainability (MGMT:9091)
Introduction to main corporate social responsibility (CSR) and sustainability issues; current debates; costs and benefits of CSR/sustainability; relationship between leadership, innovation, and CSR; CSR's effects on companies' ability to attract and retain good employees; numerous cases studies ranging from small to large companies from various sectors including food and agriculture, manufacturing, finance, mining, energy, retail, transportation; students read and debate articles and case studies written by leading business experts, academics, and CEOs; individual or team work on a CSR change analysis. (3 s.h.)  

Dynamics of Negotiations (MGMT:9110)
Predictable aspects and dynamics of bargaining experiences; simulations, experiential exercises to foster skills needed for effective negotiation in almost any situation. (3 s.h.)

Human Resources Analytics (MGMT:9170)
Introduces analytical techniques for making human resources (HR) decisions. Using Excel and Python, learn the importance of measurement and how to analyze data and interpret results to inform organizational decision-making related to selection, promotions, and turnover. Use data to make high-stakes decisions in the conceptual domain of human resources. Analytical techniques covered include basic descriptive statistics, correlations, regression, and introduction to natural language processing. (3 s.h.)  Prerequisite: MBA:8150 or BAIS:9100  

Inclusive Leadership (MGMT:9240)
Skills to develop a more inclusive leadership style including leading productive conversations about diversity, transforming diversity-related conflicts into opportunities for learning and growth, evaluating diversity initiatives for potential effectiveness, and developing a change management plan for increasing inclusion in an organization; exploration of foundations for inclusive leadership behaviors and team cultures through self-assessments, case studies, and group activities. (3 s.h.)  Prerequisite: MBA:8120  

Law and Ethics (MGMT:9210)
Legal issues surrounding startup and day-to-day management of a business; contract law, standard business formations, tort law, employment law, business ethics, and alternative dispute resolution. (3 s.h.)

Leadership and Personal Development (MGMT:9120)
Major theories; determinants of leader effectiveness, personal and career success; practical development of leadership, managerial skills to enhance individual, organizational effectiveness. (3 s.h.)

Managing and Preventing Conflict (MGMT:9230)
Skills for management of high-conflict situations in the workplace and for long-term business success and job satisfaction; experience developing mediation-based skills and communication techniques to prevent and resolve workplace conflicts. (3 s.h.)

Managing Employee Performance (MGMT:9250)
Concepts and practices to effectively manage, measure, and improve employee performance; establishing and communicating organizational expectations, the manager as coach and motivator, measurement methodologies, and performance improvement methods. (3 s.h.)

Maximizing Team Performance (MGMT:9220)
Current approaches to implementing effective teams within organizations; team selection and formation, group dynamics, facilitation skills, performance, and obstacle management. (3 s.h.)

Project Management (MGMT:9185)
Preparation for managing projects and project portfolios; project selection, project planning and budgeting, scheduling, resource allocation, and project control; integration of project planning tools, including project management software. This course was previously offered under course number MSCI:9185. If you have completed MSCI:9185 Project Management do not enroll in MGMT:9185 as it is the same course. (3 s.h.)

Strategic Management of Change (MGMT:9130)
How congruence in organizational strategy, structure and culture, job design, and employee characteristics produces effective organizations; emphasis on managing organizational change, implementing and working in teams, project management. (3 s.h.)  Completion of MBA:8120 is recommended. 

Customer Experience (MKTG:9370)
Fundamentals of customer experience (CX) management leveraging principles of behavioral science and design thinking; value creation through journey mapping; experience prototyping; creating a customer-centric culture; CX technology and trends, including AI, AR/VR, IoT, and personalization; multisensory product and service design; measuring and evaluating CX initiatives. (3 s.h.)  Prerequisite: MBA:8110 

Digital Marketing Insights, Strategies, and Applications (MKTG:9155)
Introduction and examination of foundational, strategic and operational concepts of digital marketing through a combination of interactive lectures, case discussion, and project work; materials taught from a business-to-business (B2B) and business-to-consumer (B2C) perspective and considers marketplace dynamics, emerging technology, consumer insights, and data driven digital channels that inform a corporate vision for digital, a go-to-market strategy, and executional roadmap; introduction and knowledge advancement of tools and levers of digital marketing, followed by application to real world scenarios. (3 s.h.)  Prerequisite: MBA:8110 

Marketing Analytics (MKTG:9310)
Quantitative tools to support marketing planning decisions, including forecasting, elasticity analysis, conjoint analysis, and customer LTV; analysis of syndicated data. (3 s.h.)  Prerequisite: MBA:8150 

Marketing Communication and Promotions (MKTG:9350)
Develop effective communication programs for business and consumer markets; manage agency relationships; integrate media/vehicle platforms; track and evaluate investments in communications and promotions. (3 s.h.)  Prerequisite: MBA:8110 

Social Media Marketing (MKTG:9015)
Fundamentals of social media marketing; establishing clear organizational goals for engaging in social media to market a product or service, developing solid strategies for implementation, and determining other key campaign logistics. (3 s.h.)  Prerequisite: MBA:8110 

Strategic Brand Positioning (MKTG:9320)
Strategies for building, leveraging, and defending brands; principles of consumer behavior, how they relate to building brand identity and equity; branding of consumer goods and services. Same course as MKTG:9150 Brand Management. (3 s.h.)  Prerequisite: MBA:8110 

Product and Portfolio Strategy (MKTG:9330)
Why product strategy serves as the foundation for business success; effective product development and growth strategies from product ideation to product retirement. Gain insights into managing product portfolios in both business-to-business and business-to-consumer markets, building tools to drive innovation and sustained performance. Same course as MKTG:9330 Product and Pricing Management. (3 s.h.)  Prerequisite: MBA:8110

Business Communication (MBA:8130)
Build executive-ready communication skills in writing, presenting, and visualizing. Learn to communicate effectively, efficiently, and in a compelling manner to capture interest and drive action. Students get practice, feedback, and coaching with personal/individual communication assignments in a variety of formats. (3 s.h.)

Communication with AI and Business Technology (MBA:8430) 
Harnessing AI programs to produce and enhance business writing, developing professional presentation skills with feedback from instructor and specialized apps, optimizing program-generated visualizations for human audiences, and exploring the role of critical thinking when using technology in business environments. (3 s.h.)

Seminar in International Business 
Global Learning Opportunities (GLO) (MBA:8500)
Issues and challenges facing organizations doing business in international markets; social, economic, political factors, business policies and customs in the global environment; may include travel, study abroad. (3 s.h.)

Leadership Communication & Story (MBA:9130) 
Learn how effective communication drives effective leadership, both day-to-day and in common challenges leaders and aspiring leaders face, including difficult conversations, and crises, and how story can be used as a tool for creating vision and empowering others to follow it. Assignments include a mix of individual reflections as well as experiential group learning activities. (3 s.h.)