Courses and descriptions

Iowa MBA students take nine required core courses. You'll choose six classes from the elective options to round out your 15 courses. Check out the listing of core courses or explore elective options.

Core courses

Marketing Management (MBA:8110)
Concepts, principles, and models of marketing. The relationship between marketing and other functional areas of business. Emphasis on how the marketing manager can achieve desired outcomes with the target market. Includes analyzing marketing opportunities; researching and selecting target markets; developing marketing strategies; planning marketing programs; and organizing, implementing, and controlling the marketing effort. (3 s.h.)

Management in Organizations (MBA:8120)
Examines ways to explain, predict, and influence behavior in organizations. Emphasizes use of decision making, leadership, communication, and group skills in management positions. Topics include motivation, leadership, teams, organizational culture, organizational design, individual differences, and organizational change. (3 s.h.)

Corporate Financial Reporting (MBA:8140)
Provides a framework for understanding contemporary financial reporting practices in the United States. Emphasis is placed on how alternative accounting treatments affect the usefulness of financial information in applied decision settings. (3 s.h.)

Data and Decisions (MBA:8150)
This course introduces analytical techniques for making business decisions. Utilizing Excel, students apply descriptive and predictive analytical tools to solve practical business problems using real-world data. To deal with uncertainty in decision making, the course first introduces formal probability concepts and statistical methods for describing variability through topics such as decision trees, random variables, and hypothesis testing. Students then learn the practical application of techniques such as linear regression, Monte Carlo simulation, and linear optimization to model, explain, and predict for operational, tactical, and strategic decisions. (3 s.h.)

Managerial Economics (MBA:8160)
Introduces basic economic concepts. Value creation and how alternative economic institutions accomplish this. Drivers of demand, the concept of economic cost and its relation to accounting data, and pricing decisions, macroeconomics, and the international environment of the firm. (3 s.h.)

Managerial Finance (MBA:8180)
Topics include time value of money and applications of present value techniques; stock and bond valuation; capital budgeting; cost of capital calculation; portfolio formation and efficient market analysis; financial statement analysis; pro-forma analysis; hedging financial risks. For off-campus students, MBA:8140 or an undergraduate-level course in financial accounting or finance is recommended prior to taking MBA:8180. (3 s.h.)

Operations and Supply Chain (MBA:8240)
Planning and decision-making activities for managing an organization's operations in both manufacturing and services, with an emphasis on production and service delivery strategy, process design, capacity planning, process analytics, queueing, and an introduction to supply chain management including supply chain design and coordination. (3 s.h.)

Foundations in Strategy (MBA:8300)
Key elements of domestic competitive and corporate strategy; industry analysis (understanding the importance of industry for firm performance); strategies for achieving competitive advantage (cost focus, differentiation focus); corporate strategy (corporate scope, horizontal diversification, vertical integration); topics of global strategy, which may include challenges of attaining competitive advantage in foreign markets, such as cross-national distance and liabilities of foreignness, as well as international strategies (replication strategy, adaptation strategy, arbitrage strategy). (3 s.h.)

Business Integration (MBA:8310)
Student teams run an operational business simulation, conduct organizational/industry analysis, assess market opportunities, define strategic direction, compete for company profitability and market share. Course content has not changed but will include Marketplace simulation. Formerly MBA:8300 Strategic Management and Policy. Prerequisites: 5 of the following are required: MBA:8110, MBA:8140, MBA:8150, MBA:8180, (MBA:8190 or MBA:8240) and MBA:8300. Completion of all six prerequisites is recommended.  (3 s.h.)

Elective Courses

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.  Pre-req: MBA:8140. (3 s.h.)

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.  Pre-req: MBA:8140. Recommendations: MBA:8180 or prior undergraduate finance course. (3 s.h.)

Contemporary Topics: Corporate and Financial Risk Management (FIN:9010)
Analysis and treatment of pure and financial risks faced by business organizations; development and implementation of the risk management process, application of varied risk management techniques to identified exposures; how businesses manage risk and how insurance is used to manage the cost of risk; case studies. Prerequisite: MBA:8180 (3 s.h.)

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. Prerequisite: MBA:8180 (3 s.h.)

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. Prerequisite: MBA:8180 (3 s.h.)

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. Prerequisite: MBA:8180 (3 s.h.)

Fixed Income Securities (FIN:9220)
Conceptual framework and tools to undertake the valuation of fixed income securities and the management of fixed income portfolios; varied fixed income instruments and the markets in which they trade; introduction to basic building blocks of fixed income analysis, including concepts of duration, convexity, and term structure of interest rates; application of concepts in bond portfolio immunization strategies; use of interest rate derivatives in portfolio hedging applications. Prerequisite: MBA:8180 (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. Prerequisite: MBA:8180 (3 s.h.)

International Finance (FIN:9240)
Introduction to structure and functioning of global financial markets; currency market, international equity markets; use of derivatives in currency risk management for corporate and investment needs; corporate investment decisions in an international context. Prerequisite: MBA:8180 (3 s.h.)

Security Analysis (FIN:9270)
Valuation of financial securities (primarily equities) using discounted cash flow model; industry, regulatory analysis; financial statement analysis; active portfolio management; value-based management techniques; valuation of firms outside the United States. Prerequisite: MBA:8180 (3 s.h.)

Alternative Investments and Portfolio Strategies (FIN:9290)
Alternative investments, including hedge funds, private equity funds, and venture capital vehicles; purpose of alternative investments, including the risk/return profile of alternatives and correlations with traditional asset classes; specific hedge fund styles, strategies, risk profiles; portfolio strategy topics, including diversification benefits, management of downside risk, international diversification, behavioral finance, performance measures, and performance attribution analysis. Prerequisite: MBA:8180 (3 s.h.)

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. Prerequisite: MBA:8180 (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. Prerequisite: MBA:8180 (3 s.h.)

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. Prerequisite: MBA:8180 (3 s.h.) 

Contemporary Topics: Competitive Strategy (MGMT:7900)
This course provides students with strategy concepts, frameworks, and active learning activities to help them learn how to create a sustainable competitive advantage in business. The importance of strategic planning in all life cycles of a business will be a key focus, including how strategic planning plays a part in organizational leadership and creativity. Student teams will apply their knowledge by developing a strategic plan for a new business/product launch. Each team will conduct a strategic planning analysis of an existing business, citing the strengths and weaknesses of the strategies used in the business plan and execution of said plan. The course is delivered in an online format utilizing Blackboard Collaborate. Live chat sessions will be held and each student team will be assigned a virtual discussion room to collaborate on assignments. (3 s.h.)

Business Communication (MBA:8130)
Effective communication to become a successful business professional and leader; strengthen ability to speak and write confidently, competently, and effectively, regardless of venue; varied team and individual presentation coaching, applied exercises. (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.)

Influence and Constructive Persuasion (MGMT:9090)
Exploration of methods of persuasion and the science behind why and how influence works in a contemporary business setting; leadership as a function of consensus building, convincing, and motivating in today's team-based, knowledge-centric enterprises; how leaders select from a variety of influence techniques to get others' commitment to a course of action rather than commanding others; persuasion—using solid evidence coupled with emotional appeal—as capacity to present a message in a way that leads others to support it; how persuasion, when used effectively, creates a sense of freedom—others freely choose your perspective and support it. (3 s.h.)

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.)  

Effective Managerial Communication (MGMT:9092)
Decisive personal and organizational skills for business leaders and entrepreneurs; at individual level, students will refresh writing, listening, speaking, and interpersonal skills for business settings; at the organizational level, course provides crucial managerial skills—how to conduct an effective meeting, questioning skills for employment selection, engaging in small talk, and communication during a crisis. (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.)

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.)

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. Completion of MBA:8120 is recommended. (3 s.h.)

Project Management (MGMT:9185)
Preparation for managing projects and project portfolios; project selection, project planning and budgeting, scheduling, resource allocation, 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.)

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, alternative dispute resolution. (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.)

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.)

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.  Pre-req: MBA:8120 (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, performance improvement methods. (3 s.h.)

Strategic Employee Development (MGMT:9260)
Concepts, practices in training and development; strategic issues affecting the design, implementation, and evaluation of training programs and of career management and organizational development activities. (3 s.h.)

Human Resource Management (MGMT:9270)
Systematic approach to managing human resources through practices consistent with validated theories and empirical research; human resources practices and business strategies; human resources strategy, recruitment and selection, training and development, employment law, international human resources, career management, compensation. (3 s.h.)

Global Business Management (MGMT:9290)
This course focuses on theoretical knowledge and practical skills that are critical to successfully compete in the global marketplace and to make sound management decisions in international contexts. Students understand economic, political, legal and social aspects of a business environment in foreign markets, learn about multinational companies’ winning moves in entering and growing in those markets, and study best practices in managing people in different cultural settings. (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 Management and Visual Analytics (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 using Structured Query Language (SQL); basic principles of visual analytics and techniques for presenting data retrieved from databases. (Formerly BAIS:9230 Database Systems) (3 s.h.)

Data Programming in R (BAIS:6060)
Introduction to the principles and practices of handling, cleaning processing, and visualizing data using the R programming language. Students will also acquire basic programming skills that can be applied to software development in any programming language, covering such topics as variables and data types, control structures; functions and subroutines; arrays and other simple data structures. (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. Prerequisites: MBA:8150 or BAIS:9100 (3 s.h.)

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. Prerequisites: (BAIS:6040 or BAIS:6060) and Corequisite: BAIS:6070. Recommendation: Python data programming or knowledge; and prior or concurrent enrollment in data science course for part-time M.S. in business analytics program students encouraged. (3 s.h.)

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. Prerequisites: (BAIS:6060 or BAIS:6040) (3 s.h.) 

Big Data Management and Analytics (BAIS:6110)
Introduction to advanced techniques for managing and analyzing big data; nonrelational data models, such as semi-structured (e.g., XML) and unstructured (e.g., key-value) data; state-of-the-art big data tools for non-relational data management, such as noSQL databases and distributed databases (e.g., Hadoop); query languages such as HIVE; design and implementation of data-analysis methods on these platforms; through exercises and course projects, students will be trained to use the tools introduced to implement analysis tasks on big data sets. Prerequisites: BAIS:6050 and (BAIS:6040 or BAIS:6060). Recommendation: BAIS:6060 or knowledge of R programming language. (3 s.h.)

Applied Optimization (BAIS:6130)
Use of optimization (also called prescriptive analytics or mathematical programming) to make tactical and strategic decisions; advanced optimization skills including data collection and preparation, logical modeling, and solution interpretation and implementation within a software environment; applications in the various functional areas of business are discussed throughout. Prerequisites: (BAIS:9100 or MBA:8150) and (BAIS:6040 or BAIS:6060) (3 s.h.)

Information Visualization (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 a commercial information visualization application as well as exploration of select open-source information visualization tools and toolkits. (3 s.h.)

Financial Analytics (BAIS:6150)
Businesses as well as investors are affected by fluctuating treasury bond rates, equity prices, and foreign exchange rates, and the risk must be measured; students focus on gaining knowledge of the classic financial models and statistical and risk metrics and scaling them up with analytics techniques (sorting with thresholds, portfolio optimization, decision trees, and database programming) to find the best investments based on historical data sets; beginning with descriptive analytics and pushing into predictive and prescriptive analytics, students build a software simulation laboratory using R. Prerequisites: (BAIS:9100 or MBA:8150) and (BAIS:6040 or BAIS:6060) (3 s.h.)

Big Data Analytics (BAIS:6160)
Principles of data mining and machine learning in the context of big data; basic data mining principles and methods (pattern discovery, clustering and ordering); analysis of different types of data (sets and sequences); machine learning topics including supervised and unsupervised learning, tuning model complexity, dimensionality reduction, nonparametric methods, comparing and combining algorithms, and applications of these methods; development of analytical techniques to cope with challenging and real big data problems; introduction to graphics processing unit (GPU) computing tools. Prerequisites: (BAIS:9100 or MBA:8150) and BAIS:6060.  (3 s.h.)

Healthcare Analytics (BAIS:6180)
Clinical data management is essential for evaluating evidence-based practice/performance-improvement projects, and a high quality data management plan provides key stakeholders with the information necessary to make decisions. Plan components include: identified processes and outcomes linked to variables and data sources; adequate statistical power; data cleaning and manipulation techniques; statistical methods; and a meaningful presentation of variables that addresses stakeholder concerns and questions. Students will gain the knowledge and skills necessary to develop and execute a data management plan within a final project. Prerequisites: (BAIS:9100 or MBA:8150) and (BAIS:6050) (3 s.h.)

Forecasting (BAIS:6190)
Forecasting plays a central role in business decision making, and accurate forecasts are needed when making decisions about investments, resource allocations, schedules, and inventory levels; quantitative forecasting tools; extrapolation of time series data (e.g., daily, weekly, monthly sales); exponential smoothing methods: time series extrapolations from autoregressive and autoregressive integrated moving average (ARIMA) Box-Jenkins models; regression models that predict a variable of interest from its own history as well as any other available information (e.g., sales promotions, price reductions); methods for assessing performance of forecasting methods. Prerequisite: BAIS:9100 or MBA:8150 (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.)

People Analytics (BAIS:6230)
Developing, interpreting, and making decisions related to knowledge of human behavior, performance characteristics, and tendencies for organizational success and competitive advantage; data driven frameworks, strategies, and methods for job assignment, scheduling, skill acquisition, staffing, and cross training.  (3 s.h.)

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.)

Contemporary Topics in Analytics: (BAIS:9010) 
Content from cutting edge topics in business analytics, operations, and project management; topics vary. (1-3 s.h.)

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. Prerequisite: BAIS:9100 or MBA:8150 (3 s.h.)

Lean Process Improvement (BAIS:9130)
This course focuses on the design, management, and improvement of business processes which form the basis of every organization, ranging from manufacturing facilities to service providers and from for-profits to non-profits. Through a series of hands-on exercises, students learn the principles of lean thinking and continuous improvement. The course employs a team-based, data-driven approach to instruct students on how to map a value stream, identify waste, analyze root causes, and brainstorm countermeasures for a variety of different processes. Recommendations: MBA:8240 (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.)

Supply Chain Analytics (BAIS:9160)
Supply chain analytics applications for decision making, including demand forecasting, inventory management, capacity planning, and supply chain coordination. Prerequisites: BAIS:9100 or MBA:8150. (3 s.h.)

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.)

Contemporary Topics in Marketing (MKTG:9010)
Topics not regularly offered in other courses. Prerequisites: MBA:8110 (3 s.h.)

Social Media Marketing for Business (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. Prerequisite: MBA:8110 (3 s.h.)

Customer Relationship Management (MKTG:9120)
Analytical approaches to customer relationship management; issues, techniques, and terminology associated with database marketing and data mining; analysis of customer databases; assessing lifetime valuation (LTV) of customers, identifying high-potential customers, estimating return on marketing investment, building predictive models to estimate the probability of response to a marketing campaign. Prerequisite: MBA:8110 (3 s.h.)

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. Prerequisite: MBA:8110 (3 s.h.)

Digital Marketing Analytics (MKTG:9165)
Comprehensive introduction to current analytic tools and technologies used in digital marketing; hands-on analyses with JMP, a state-of-the-art visually stunning data analysis software; strategic applications of marketing analytics to data from B2C and B2B cases. Prerequisite: (MBA:8150 or BAIS:9100) and MBA:8110 (3 s.h.)

Business to Business Marketing (MKTG:9170)
Industrial buyer behavior, buyer-seller relationships, interactive product policy and market segmentation, distribution and selling systems; skill development in market strategy formulation for industrial products and services, and in solving problems and making decisions about industrial marketing. Prerequisite: MBA:8110 (3 s.h.)

International Marketing (MKTG:9190)
Domestic versus international perspective; identification and evaluation of opportunities and risks in non-U.S. markets; research problems in global markets; effects of international organizations, foreign exchange, macroeconomic policies, local law, and cultural differences on consumer behavior and marketing decisions; multinational versus global marketing strategies (entry, product adaptation, channel logistics, pricing, promotion); emphasis on practical applications. Prerequisite: MBA:8110 (3 s.h.)

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

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) Prerequisite: MBA:8110 (3 s.h.)

Product and Pricing Management (MKTG:9330)
Create and capture value through product and service design, including stage-gate evaluation models; implement pricing strategy for new products and existing product lines. (Same course as MKTG:9130 Product Management) Prerequisite: MBA:8110 (3 s.h.)

Customer Analysis (MKTG:9340)
Use customer insights to support successful marketing programs; organizational, individual, and joint decision making; post-sale satisfaction behaviors. Prerequisite: MBA:8110 (3 s.h.)

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. Prerequisite: MBA:8110 (3 s.h.)

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.)

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 (3 s.h.)

Evaluating Innovation Opportunities (ENTR:9400)
Integrated, cross-functional perspective of how organizations identify and evaluate opportunities and develop strategies to compete in a global marketplace; innovation and creativity, opportunity recognition, venture screening, identification of resources, and strategic business planning. (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.)

Managing the Growth Business (ENTR:9500)
Issues faced by new, rapidly growing businesses; adapting organizational structure as business expands, building a management team, hiring new employees, managing strategic growth of a business; case studies, particularly in technology sector. (3 s.h.)

Entrepreneurship Business Consulting (ENTR:9700)
Experience on teams providing consulting services to startup and early-stage companies; the consulting process—proposal development, data collection and analysis, final report preparation and presentation; projects—marketing studies, financial projections, strategic planning. (3 s.h.)