Graduate Certificate Courses and Requirements

Required Courses:
The following two courses are required for this graduate certificate.

ACCY 569: Data-Driven Decisions in Accounting
This course prepares students to use analytic software to explore, visualize, and statistically analyze accounting data. It first introduces students to the need for analytics in accounting by sampling problems from different accounting domains. Students then learn to frame problems in a way that can be answered by using data, and how to structure data so that it’s ready to be analyzed.

Students create interactive visualizations in Excel and Tableau to examine data, identify patterns and relationships in the data, and then communicate the findings. This course also introduces students to statistical analyses (i.e. regression and clustering) for quantifying patterns and relationships that are observed in the data. Finally, this course introduces accounting students to programming via macros and the VisualBasic editor in Excel to automate data preparation and data analyses.

• 2 Credit Hours; 8-Week Course, Offered in August
• Coursera Components: Introduction to Accounting Data Analytics and Visualization

ACCY 576: Data Preparation for Accounting
This course focuses on developing Python skills for assembling business data, taught within the context of multiple accounting settings (e.g., financial statement data, stock data, loan data, point-of-sale data, etc.). The first half of the course uses an integrated development environment to automate data analytic tasks. We discuss how to manage code and share results within Jupyter Notebook, a popular development environment for data analytic software like Python and R. We then review some fundamental programming skills, such as mathematical operators, functions, conditional statements and loops using Python software.

The second half of the course focuses on assembling data for machine learning purposes. We introduce students to Pandas dataframes and Numpy for structuring and manipulating data. We then analyze the data using visualizations and linear regressions. Finally, we explain how to use Python for interacting with SQL data.

• 2 Credit Hours; 8-Week Course, Offered in January
• Coursera Components: Accounting Data Analytics with Python

Elective Courses:
Learners should select eight hours of elective courses from the list below.

ACCY 577: Machine Learning for Accounting
This course introduces machine learning algorithms and their applications in accounting problems. It covers classification, regression, clustering, text analysis, time series analysis. It also discusses feature importance and model optimization.

This course provides an entry point for students to be able to apply proper machine learning algorithms on business related datasets to solve various problems. By end of the course, combined with the skills learned from ACCY 576, students should be able to complete an entire data analytics process with Python.

• 2 Credit Hours; 8-Week Course, Offered in March
  
• Coursera Components: Machine Learning for Accounting with Python

ACCY 578: Accounting Analytics Applications
In this course, you can develop your knowledge regarding the roles, methods, and implications of business and data analytics in accounting via real-world applications of fundamental and advanced analytics principles.

Application opportunities span multiple areas of accounting, including audit, fraud identification and detection, financial accounting, and managerial accounting. After engaging in this course, you’ll possess a foundational understanding of the role of business and data analytics in accounting and be able to apply this knowledge to real-world business use cases.

• 1 Credit Hour; 4-Week Course, Offered in October, November, March, and April
• May be repeated when topics vary for up to 4 credit hours.
• No Coursera component

MBA 563: Data Toolkit: Business Data Modeling & Predictive Analytics
The emphasis of this course is placed on developing a business analytic mindset. You will then be exposed to various tools to perform tasks including extracting, transforming and loading (ETL) data to conduct exploratory data analytics (EDA). These tools are Power BI, R, and Alteryx. In addition, you will learn different machine learning algorithms but also develop the ability to evaluate and select the right algorithms for the right circumstances and use Notebooks to communicate results with others.

Please note, Because Power BI and Alteryx are only built to run on a Windows operating system, you will need to either have administrative access to a Windows machine, or install additional software, such as Virtual Box, so that you can emulate a Windows operating system on your Mac or Linux operating system.

To be successful in this course, you must be comfortable with R concepts and commands. It is recommended to complete the Introduction to Business Analytics with R MOOC before beginning this course.

• 4 Credit Hours; 8-Week Course, Offered in October
• Coursera Components: Tools for Exploratory Data Analysis in Business and Machine Learning Algorithms with R in Business Analytics

MBA 564A: Applying Data Analytics in Marketing
In this course, you’ll focus on marketing analytics techniques and how to use those techniques to solve real-world marketing problems. You will cover topics including t-tests, natural language processing, and network analysis, and more. You will use R programming to learn key concepts, including the four tools of marketing analytics.

To be successful in this course, you must be comfortable with R concepts and commands. It is recommended to complete the Introduction to Business Analytics with R MOOC before beginning this course.

• 2 Credit Hours, 4-Week Course, Offered in January 
• Coursera Component: Applying Data Analytics in Marketing

MBA 564B: Applying Data Analytics in Accountancy
In this course, you’ll be introduced to cutting-edge technologies being used in business, particularly in accounting. You’ll cover analytics techniques including natural language processing and robot process automation. You will gain an increased familiarity to technologies including blockchain, cyber security, and process mining.

Please note, completion of this course requires downloading and using free versions of the Alteryx applications, both of which are only compatible with Windows Operation System (i.e. Windows 10). Therefore, to complete this course, you must have administrative access to a computer with Windows operating system installed. Alternatively, you may use a free virtual desktop environment that contains all the software requirements.

To be successful in this course, you must be comfortable with R concepts and commands. It is recommended to complete the Introduction to Business Analytics with R MOOC before beginning this course.

• 2 Credit Hours, 4-Week Course; Offered in February
• Coursera Component: Applying Data Analytics in Accounting

MBA 565: Infonomics
In this course, you’ll be introduced to cutting-edge technologies being used in business, particularly in accounting. You’ll cover analytics techniques including natural language processing and robot process automation. You will gain an increased familiarity to technologies including blockchain, cyber security, and process mining.

Please note, completion of this course requires downloading and using free versions of the Alteryx applications, both of which are only compatible with Windows Operation System (i.e. Windows 10). Therefore, to complete this course, you must have administrative access to a computer with Windows operating system installed. Alternatively, you may use a free virtual desktop environment that contains all the software requirements.

To be successful in this course, you must be comfortable with R concepts and commands. It is recommended to complete the Introduction to Business Analytics with R MOOC before beginning this course.

• 4 Credit Hours, 8-Week Course, Starts in May
• Coursera Component: Infonomics I: Business Information Economics and Data Monetization and Infonomics II: Business Information Management and Measurement

Required Courses:
The following two courses are required for this graduate certificate.

ACCY 501: Accounting Analysis I
This is the first course in a two-course sequence (ACCY 501 and 502) that covers the collection, processing, and communication of accounting information (via financial reports) about economic entities to interested parties (i.e., managers and external stakeholders such as stockholders and creditors). This sequence focuses on accounting concepts, principles and theory with an emphasis on problems that arise in applying these concepts for external reporting purposes. Specific emphasis is placed on measurement of assets, liabilities, equities and income, as well as disclosure of additional information that may assist users to understand the financial reports. Because this sequence is intended to assist you in professional preparation, you will be expected to develop analytical, problem-solving and technical skills used by accounting professionals. 

• 4 Credit Hours, Fall and Spring
• Coursera Components: Accounting Analysis I: The Role of Accounting as an Information System and Accounting Analysis I: Measurement and Disclosure of Assets

ACCY 502: Accounting Analysis II
ACCY 502 is a continuation of ACCY 501. This course begins with a discussion of current liabilities and contingencies and continues with long-term debt and bonds. The course next explores the accounting model for leases, both lessees and lessors, and a discussion on deferred tax assets and liabilities. Participants will learn the latest accounting standards including the new accounting model for leases effective for public companies in 2019 and private companies in 2020. The second half of the course begins with a discussion of pensions and retiree medical benefits and continues with equity and share-based payments. It then explores earnings per share (EPS) and a discussion on accounting changes. The course will conclude with a discussion on the statement of cash flows.

• 4 Credit Hours, Spring Only
• Prerequisite: ACCY 501
• Coursera Components: Accounting Analysis II: Measurement and Disclosure of Liabilities and Accounting Analysis II: Accounting for Liabilities and Equity

Elective Courses:
Learners should select one course from the list below based on their professional and educational background. 

ACCY 500: Accounting Measurement, Reporting, and Control
A managerial perspective of the nature and role of accounting in organizational measurement, reporting and control processes.

• 4 Credit Hours; 8 Weeks; Offered in August and January
• Coursera Components: Financial Accounting: Foundations and Financial Accounting: Advanced Topics

ACCY 503: Managerial Accounting
In this course, you will identify and analyze managerial accounting practices used inside organizations to facilitate and guide managers’ operational and strategic decisions. There are two important roles of managerial accounting information. First, managerial accounting has a decision-facilitating role, as it allows decision-makers within the company to adjust their beliefs, and thus affects their evaluations of and decisions surrounding the company’s strategies and operations. Second, managerial accounting has a decision-influencing role, as it can be used to evaluate performance, and align the incentives of the decision-maker with those of other stakeholders. This course will explore both roles of managerial accounting.

• 4 Credit Hours, Spring Only
• Coursera Components: Managerial Accounting I and Managerial Accounting II

ACCY 517: Financial Statement Analysis and Valuation
This course examines the tools and techniques of financial statement analysis and company valuation form the perspective of investors and creditors; emphasizes theoretical and empirical properties of financial ratios as well as valuation methods used in practice.  

• 4 Credit Hours, Spring Only
• Prerequisite: ACCY 500 or ACCY 502
• Coursera Components: Financial Statement and Ratio Analysis for Accountants and Forecasting Financial Statements and Valuation for Accountants 

MBA 561 – Introduction to Business Analytics with R
MBA 561 welcomes you to the world of business analytics by first exploring examples of how data analytics has improved business outcomes for large and small organizations. The course then continues by introducing you to a powerful data analytic language, R, and RStudio, the integrated development environment (IDE) to code with R. You will also be introduced to notebooks, and dashboards, with which you can learn to communicate code and analytic results with other people. You will also learn some data manipulation skills to prepare your data so that it can be analyzed with visualizations and machine learning algorithms.

• 2 credit hours (4 weeks), Fall Only
• Coursera Component: Introduction to Business Analytics with R

MBA 562 – Introduction to Business Analytics: Communicating with Data
This course introduces students to the science of business analytics while casting a keen eye toward the artful use of numbers found in the digital space. The goal is to provide businesses and managers with the foundation needed to apply data analytics to real-world challenges they confront daily in their professional lives. Students will learn to identify the ideal analytic tool for their specific needs; understand valid and reliable ways to collect, analyze, and visualize data; and utilize data in decision making for their agencies, organizations or clients.

• 2 credit hours (4 weeks), Fall Only
• Coursera Component: Introduction to Business Analytics: Communicating with Data

MBA 563 – Data Toolkit: Business Data Modeling and Predictive Analytics
The emphasis of this course is placed on developing a business analytic mindset. You will then be exposed to various tools to perform tasks including extracting, transforming and loading (ETL) data to conduct exploratory data analytics (EDA). These tools are Power BI, R, and Alteryx. In addition, you will learn different machine learning algorithms but also develop the ability to evaluate and select the right algorithms for the right circumstances and use Notebooks to communicate results with others. Completion of this course requires downloading and using free versions of the Power BI and Alteryx applications, both of which are only compatible with Windows Operation System (i.e. Windows 10). Therefore, to complete this course, you must have administrative access to a computer with Windows operating system installed. Alternatively, you may use a free virtual desktop environment that contains all the software requirements. 

Course recommendation: It is strongly recommended to complete MBA 561 or the MOOC associated with MBA 561 before beginning this course. To be successful in MBA 563, you should be comfortable with all R concepts and commands covered in MBA 561.

• 4 credit hours, Fall Only
• Coursera Components: Tools for Exploratory Data Analysis in Business and Machine Learning Algorithms with R in Business Analytics

MBA 564 A - Applying Data Analytics in Marketing
This course introduces you to marketing analytics through a wide range of analytical tools and approaches - and how to apply them in real-world situations. We will discuss causal analysis, survey analysis using regression, textual analysis (sentiment analysis), and network analysis. This course aims to provide the foundation required to make better marketing decisions by analyzing multiple types of data related to customer satisfaction.

Course recommendation: It is strongly recommended to complete MBA 561 before beginning this course.

• 2 credit hours (4 weeks), Spring Only
• Coursera Component: Applying Data Analytics in Marketing
  

MBA 564 B - Applying Data Analytics in Accounting
This course explores business analytic applications in accounting. Students will understand analytic issues and topics in accounting, conduct audit and control testing tasks using Alteryx and R, and examine robot process automation. Completion of this course requires downloading and using free versions of the Alteryx applications, both of which are only compatible with Windows Operation System (i.e. Windows 10). Therefore, to complete this course, you must have administrative access to a computer with Windows operating system installed. Alternatively, you may use a free virtual desktop environment that contains all the software requirements.

Course recommendation: It is strongly recommended to complete MBA 561 or the MOOC associated with MBA 561 before beginning this course

• 2 credit hours (4 weeks), Spring Only
• Coursera Component: Applying Data Analytics in Accounting
  

Required Courses:
The following two courses are required for this graduate certificate.

ACCY 569: Data Driven Decisions in Accounting
This course prepares students to use analytic software to explore, visualize, and statistically analyze accounting data. It first introduces students to the need for analytics in accounting by sampling problems from different accounting domains. Students then learn to frame problems in a way that can be answered by using data, and how to structure data so that it’s ready to be analyzed. Students create interactive visualizations in Excel and Tableau to examine data, identify patterns and relationships in the data, and then communicate the findings. This course also introduces students to statistical analyses (i.e. regression and clustering) for quantifying patterns and relationships that are observed in the data. Finally, this course introduces accounting students to programming via macros and the VisualBasic editor in Excel to automate data preparation and data analyses.

• 2 Credit Hours (8 Weeks), Fall Only
• Coursera Component: Introduction to Accounting Data Analytics and Visualization

ACCY 576: Data Preparation for Accounting
This course focuses on developing Python skills for assembling business data, taught within the context of multiple accounting settings (e.g., financial statement data, stock data, loan data, point-of-sale data, etc.). The first half of the course uses an integrated development environment to automate data analytic tasks. We discuss how to manage code and share results within Jupyter Notebook, a popular development environment for data analytic software like Python and R. We then review some fundamental programming skills, such as mathematical operators, functions, conditional statements and loops using Python software. The second half of the course focuses on assembling data for machine learning purposes. We introduce students to Pandas dataframes and Numpy for structuring and manipulating data. We then analyze the data using visualizations and linear regressions. Finally, we explain how to use Python for interacting with SQL data.

• 2 Credit Hours (8 weeks), Spring Only
• Coursera Component: Accounting Data Analytics with Python

Elective Courses: * Learners admitted to the graduate certificate before Fall 2024 will take at least one of the following courses: ACCY 504, ACCY 506, ACCY 507, ACCY 516, ACCY 517. The remaining 4 credit hours will be selected from the list of additional electives.

Learners should select at least 2 credit hours from the following list (Fall 2024 and later):

ACCY 504: Auditing
This course provides an intensive conceptual and applied introduction to auditing in society. It focuses on concepts and applications related to financial-statement auditors' professional responsibilities, as well as major facets of the audit process, including risk assessment and audit reporting.

• 4 Credit Hours, Fall Only
• Coursera Components: Conceptual Foundations of Auditing and The Practice of Auditing
  

ACCY 506: Advanced Topics in Accounting
This course covers accounting for business combinations (ASC 805), the preparation of consolidated financial statements (ASC 810), and other related topics including, but not limited to: step-by-step acquisition, deconsolidation, segments reporting, and the goodwill impairment test. This course begins with a discussion of the scope of ASC 805 and the differences between business combinations and asset acquisitions. Next, the course explores the measurement and recognition principles of the acquisition method to account for business combinations. Then, the course covers the consolidation process. You will learn how to prepare the consolidated financial statements and make all of the necessary consolidation adjustments.

• 4 Credit Hours, Fall Only
• Coursera Component: Accounting for Business Combinations and Preparation of Consolidated Financial Statements
  

ACCY 507: Taxation of Business Entities
The first half of the course provides an introduction to the U.S. federal  income taxation of corporations and their shareholders. The course focuses on the relevant provisions of Subchapter C of the Internal Revenue Code, as well as related Treasury Regulations and judicial opinions, governing corporate formation, operations, distributions, and liquidation. The second half of the course provides an introduction to the U.S. federal income taxation of pass-through business entities, including Subchapter S corporations, partnerships, and limited liability companies. It focuses on the relevant provisions of Subchapters S and K of the Internal Revenue Code, as well as related Treasury Regulations and judicial opinions, governing the formation, operation, and termination of pass-through entities. Practical in-class study problems facilitate self-discovery of technical tax knowledge along with the development of a variety of professional skills and attitudes.

• 4 Credit Hours, Spring Only
• Prerequisite: ACCY 505
• Coursera Components: Taxation of Business Entities I: Corporations and Taxation of Business Entities II: Pass-Through Entities

ACCY 516: Professional Responsibility and Ethics for Accountants
This course covers key principles of accountants’ professional responsibility in their jobs, organizations, and careers, and adopts both theoretical and practical perspectives of the role of ethics and morals within the accounting discipline. The course begins with a general overview of these key constructs and principles, including various philosophies from a variety of disciplines and cultures. Next, the course provides a historical perspective of major instances of accounting-related “failures” and “successes” in the area of professional responsibility and ethics. This historical perspective provides the underlying reasoning for many contemporary codes of conduct, ethics, and professional guidelines. A variety of experiential learning opportunities will help students explore and develop their own perspective on ethics and morals, and how these principles affect their professional roles, responsibilities, and choices. 

• 3 Credit Hours, Summer Only
• Coursera Components: Professional Responsibility and Ethics for Accountants

ACCY 517: Financial Statement Analysis and Valuation
This course examines the tools and techniques of financial statement analysis and company valuation from the perspective of investors and creditors; emphasizes theoretical and empirical properties of financial ratios as well as valuation methods used in practice.

• 4 Credit Hours, Spring Only
• Coursera Components: Financial Statement and Ratio Analysis for Accountants and Forecasting Financial Statements & Valuation for Accountants
  

Additional Electives:
Learners should select the balance of 12 credit hours from the list above or the list below (Fall 2024 and later):

ACCY 577: Machine Learning for Accounting
This course introduces machine learning algorithms and their applications in accounting problems. It covers classification, regression, clustering, text analysis, time series analysis. It also discusses feature importance and model optimization. This course provides an entry point for students to be able to apply proper machine learning algorithms on business related datasets to solve various problems. By end of the course, combined with the skills learned from ACCY 576, students should be able to complete an entire data analytics process with Python.

• 2 Credit Hours, Spring Only
• Prerequisite: ACCY 576
• Coursera Component: Machine Learning for Accounting with Python

ACCY 578: Accounting Analytics Applications
This course develops students’ knowledge regarding the role, methods, and implications of business and data analytics in accounting via real-world applications of fundamental and advanced analytics principles. Application opportunities span multiple areas of accounting, including audit, fraud identification and detection, financial accounting, and managerial accounting. Students will (1) gain a foundational understanding of the role of business / data analytics in accounting and (2) be able to apply this knowledge to real-world clients, business decisions, etc. Course sections vary by application topic, may be repeated in the same or separate semesters, if topics vary.

• 1 Credit Hour (4 weeks), Fall and Spring
  
• Prerequisite: ACCY 576 for sections AA1 and AA2
• ACCY 569 is recommended for learners in need of additional quantitative or analytics experience before enrolling in sections AAA or AAB
  

BADM 403: Corporate & Commercial Law
This course you will learn about several important legal concepts that affect businesses. The first half of the course focuses on contracts and employment law. Students will learn what is required in order to form agreements that can be enforced in court, examine the rights of third parties and what happens when someone doesn't fulfill their contractual obligations, and understand legal issues that impact the hiring, firing, and ongoing employment of workers. The second half of the course turns to business organizations, business financing, and governmental regulation. Students will discuss the characteristics of a number of the most common forms of business entities, such as corporations and LLCs, explore debtor-creditor relationships, including bank financing, debt financing, secured transactions, and bankruptcy, and learn about the most important aspects of governmental regulation, including the process by which administrative agencies make rules, and the regulation of anti-competitive behavior and securities transactions.

• 4 Credit Hours, Summer Only

Coursera Components: Corporate & Commercial Law I: Contracts & Employment Law and Corporate & Commercial Law II: Business Forms, Financing & Governmental Regulations

MBA 563: Data Toolkit: Business Data Modeling & Predictive Analytics
The emphasis of this course is placed on developing a business analytic mindset. You will then be exposed to various tools to perform tasks including extracting, transforming and loading (ETL) data to conduct exploratory data analytics (EDA). These tools are Power BI, R, and Alteryx. In addition, you will learn different machine learning algorithms but also develop the ability to evaluate and select the right algorithms for the right circumstances and use Notebooks to communicate results with others. Completion of this course requires downloading and using free versions of the PowerBI and Alteryx applications, both of which are only compatible with Windows Operation System (i.e. Windows 10). Therefore, to complete this course, you must have administrative access to a computer with Windows operating system installed. Alternatively, you may use a free virtual desktop environment that contains all the software requirements. 

It is strongly recommended to complete MBA 561 or the MOOC associated with MBA 561 before beginning this course. To be successful in MBA 563, you should be comfortable with all R concepts and commands covered in MBA 561.

• 4 Credit Hours, Fall Only
• Coursera Components: Tools for Exploratory Data Analysis in Business and Machine Learning Algorithms with R in Business Analytics  
  

MBA 564 A: Applying Data Analytics in Marketing
This course introduces you to marketing analytics through a wide range of analytical tools and approaches - and how to apply them in real-world situations. We will discuss causal analysis, survey analysis using regression, textual analysis (sentiment analysis), and network analysis. This course aims to provide the foundation required to make better marketing decisions by analyzing multiple types of data related to customer satisfaction.

It is strongly recommended to complete MBA 561 before beginning this course.

• 2 Credit Hours (4 Weeks), Spring Only
• Coursera Component: Applying Data Analytics in Marketing

MBA 564 B: Applying Data Analytics in Accounting
This course explores business analytic applications in accounting. Students will understand analytic issues and topics in accounting, conduct audit and control testing tasks using Alteryx and R, and examine robot process automation. 

Completion of this course requires downloading and using free versions of the Alteryx applications, both of which are only compatible with Windows Operation System (i.e. Windows 10). Therefore, to complete this course, you must have administrative access to a computer with Windows operating system installed. Alternatively, you may use a free virtual desktop environment that contains all the software requirements. 

It is strongly recommended to complete MBA 561 or the MOOC associated with MBA 561 before beginning this course.

• 2 Credit Hours (4 Weeks), Spring Only
• Coursera Component: Applying Data Analytics in Accounting

MBA 565: Infonomics
This course provides a non-technical perspective on and methods for monetizing, managing, and measuring information as if it were any other kind of corporate asset.

• 4 Credit Hours, Summer Only
• Coursera Components: Infonomics I: Business Information Economics and Data Monetization and Infonomics II: Business Information Management and Measurement

MBA 542: Digital Marketing Analytics
Theory and strategy behind marketing analytics for use in practical application.

• 4 Credit Hours; Offered in May
• Coursera Components: Digital Analytics for Marketing Professionals: Marketing Analytics in Theory and Digital Analytics for Marketing Professionals: Marketing Analytics in Practice

MBA 543: Digital Media and Marketing
Learn the role of digital channels in an integrated marketing campaign and why you need a digital strategy. Interact with the content and learn from a variety of examples.

• 4 Credit Hours; Offered in August & January
• Coursera Components: Digital Media and Marketing Principles and Digital Media and Marketing Strategies

MBA 545: Marketing in Our New Digital World
This course will explore the new digital realm in two parts. First, this course will explore how the digital revolution has affected our analog world. Second, this course will review the foundations of marketing, including customer co-creation, user-generated content, and 3D Printing.

• 4 Credit Hours; Offered in March
• Coursera Components: The Digital Marketing Revolution and Marketing in a Digital World

MBA 551: Strategic Innovation
This course will cover the strategic perspective on innovation and the management side of innovation efforts - leadership and design of innovation initiatives such that employees are able to effectively execute them. It also covers how to successfully implement innovation efforts while working alongside established businesses at the same firm, the challenges of leading product development teams, the analysis of planning of evaluating systems for innovation initiatives, and how to manage innovation when the initiative spans organizational boundaries. 

• 4 Credit Hours; Offered in March
• Coursera Components: Strategic Innovation: Building and Sustaining Innovative Organizations and Strategic Innovation: Managing Innovation Initiatives

MBA 552: Fostering Creative Thinking
Examine what prompts us to be creative, how to navigate the process of generating creative ideas, help our teams be creative, evaluate the ideas we generate, and pitch ideas so others appreciate them. Learners will be able to think more flexible, make wiser decisions, generate more effective solutions, get more out of your teams, reject fewer good ideas, and communicate more effectively.

• 4 Credit Hours; Offered in May
• Coursera Components: Creativity Toolkit I: Changing Perspectives and 

  Creativity Toolkit II: Creative Collaboration

MBA 553: Entrepreneurship: From Startup to Growth
Explore the earlier stages of the entrepreneurial venture process. The course modules will be focused on practical ideas and techniques that entrepreneurs can use to evaluate the potential of market opportunities and make decisions about whether or not to pursue them in a startup company. 

• 4 Credit Hours; Offered in August
• Coursera Components: Entrepreneurship I: Laying the Foundation and Entrepreneurship II: Preparing for Launch

ACCY 500: Accounting Measurement, Reporting, and Control
A managerial perspective of the nature and role of accounting in organizational measurement, reporting, and control processes. Also referred to as Financial Accounting.

• 4 Credit Hours; Offered in August and January
• Coursera Components: Financial Accounting: Foundations and Financial Accounting: Advanced Topics

FIN 511: Investments
Introduction to investment analysis, including the theory and implementation of portfolio theory; empirical evidence on the performance of financial assets; evaluation of portfolio investment strategies; and the extension of diversification of international markets. 

• 4 Credit Hours; Offered in October and March
• Coursera Components: Investments I: Fundamentals of Performance Evaluation and Investments II: Lessons and Applications for Investors

FIN 570: Corporate Finance
Provides an understanding of the rich diversity of challenges that confront those creating new enterprises. Learners will learn about managing growth while considering business models and cash issues, building the team with organizational and managerial issues.

• 4 Credit Hours; Offered January and May
• Coursera Components: Corporate Finance I: Measuring and Promoting Value Creation and Corporate Finance II: Financing Investments and Managing Risks

MBA 547: Global Marketing
Enables learners to understand how globalization changes consumers at a psychological level, and provides tools for imbuing brands with cultural meanings that can resonate with global consumers. Examines the ethical bases of corporate decision making using critical ethical analysis, educate and create sensitivity about ethical issues in business. 

• 4 Credit Hours; Offered in May
• Coursera Components: Global Marketing: Cultural Frameworks and Global Marketing: Building Iconic Brands

MBA 548: Global Strategy
Understand the forces of globalization and the importance of cross-cultural management in the relationship of a multinational organization; how firms adapt to, react towards, and shape the global economy. 

• 4 Credit Hours; Offered in March
• Coursera Components: Global Strategy I: How the Global Economy Works and Global Strategy II: Doing Business in the Global Economy

MBA 549: Multiculturalism in Management and the Marketplace
This course introduces the fundamentals of cross-cultural management by describing the impact of culture on interpersonal processes in organizations, discussing how culture shapes decision-making, negotiation, leadership, teamwork, and organizational structure. Additionally, this course introduces the foundations for dealing with multiculturalism in the marketplace, discussing how culture impacts consumer behavior and how marketers can leverage these insights.

• 4 Credit Hours; Offered in August
• Coursera Components: Global Impact: Cross-Cultural Management and Global Impact: Multiculturalism

BADM 572: Statistics for Management Decision Making
The application of classical and modern statistics for business decision making. 

• 4 Credit Hours; Offered in August and January
• Coursera Components: Exploring and Producing Data for Business Decision Making and Inferential and Predictive Statistics for Business

FIN 571: Money and Banking
This course provides a framework which allows learners to assess how new developments in finance and public policy may influence the macroeconomic and business environment. 

• 4 Credit Hours; Offered in January and May
• Coursera Components: Banking and Financial Institutions and Central Banks and Monetary Policy

FIN 574: Microeconomics for Business
This course shows the relevance of value and distribution theories for business managers, and includes demand and supply theory, consumer choice, production and cost theory, industrial structure, and capital theory.

• 4 Credit Hours; Offered in October and March
• Coursera Components: Firm Level Economics: Consumer and Producer Behavior and Firm Level Economics: Markets and Allocations

ACCY 532 – Mergers and Acquisitions and Other Complex Transactions
This course will increase your sophistication as a user of financial information by enhancing your ability to penetrate the complexity of intricate organizational architectures and to gain deeper insight into an organization's business model, strategy, and performance. It is strongly recommended to complete Finance of Mergers & Acquisitions before beginning this course

• 4 credit hours, Fall Only
• Coursera Components: Accounting for Mergers & Acquisitions: Foundations and Accounting for Mergers & Acquisitions: Advanced Topics

FIN 572 – Finance of Mergers and Acquisitions
Learn to value and price Mergers and Acquisition (M&A) deals and how to choose the optimal financing mix for an M&A deal. Deepen your understanding of financial modeling and capital structure, both in theory and practice. It is important to have a basic notion of statistics and be comfortable with quantitatively focused work before beginning this course.

• 4 credit hours, Fall Only
• Coursera Components: Finance of Mergers & Acquisitions: Valuation and Pricing and Finance of Mergers & Acquisitions: Designing an M&A Deal

FIN 573 – Investment Banking Concepts
In this course, you will be working on a real-life investment banking case assignment and create a pitch book that simulates the work product that a Wall Street investment banking firm would deliver to a global client. Prior to beginning this course, it is strongly recommended that you complete Finance of Mergers & Acquisitions and Accounting for Mergers & Acquisitions and Other Complex Transactions.

• 4 credit hours, Spring Only
• Coursera Components: Investment Banking: Financial Analysis and Valuation and Investment Banking: M&A and Initial Public Offerings

BADM 508: Leadership and Teams
Develops and integrates fundamental behavioral concepts and theory having administrative applications; initially focuses on the individual decision maker and ultimately includes interpersonal, organizational, and social structures and influences; and develops strategies and methods of research on behavioral applications in business.

• 4 Credit Hours; Offered in August and January
• Coursera Components: Leading Teams: Developing as a Leader and Leading Teams: Building Effective Team Cultures

BADM 509: Managing Organizations
Examines and analyzes the organization as a social system and the impact of its various components on work attitudes and behavior; topics include the development of organizational structures, organizational effectiveness, decision making and policy formulation, leadership, and change.

• 4 Credit Hours; Offered in October and March
• Coursera Components: Designing the Organization: From Strategy to Organization Structure and Managing the Organization: From Organizational Design to Execution

BADM 544: Strategic Management
Focuses on policy construction and planning of policy implementation at the executive level. During this course, you will look at case studies of company-wide situations from the management point of view.

• 4 Credit Hours; Offered in January and May
• Coursera Components: Business Strategy and Corporate Strategy

ACCY 505: Federal Taxation
Introduction to historical and conceptual as well as applied material in he accounting area of federal taxation; emphasizes the provisions of the tax law relevant to accounting measurement methods. 

• 2 Credit Hours; 8 Weeks; Offered in August and October
• Coursera Components: Federal Taxation I: Individuals, Employees, and Sole Proprietors and Federal Taxation II: Property Transactions Business Owners and Shareholders

ACCY 507: Taxation of Business Entities
This course introduces the U.S. federal income tax treatment of corporations and pass-through entities, including Subchapter S corporations, partnerships, and limited liability companies.

• 2 Credit Hours; 8 Weeks; Offered in January and March
• Prerequisite: ACCY 505
• Coursera Components: Taxation of Business Entities I: Corporations and Taxation of Business Entities II: Pass-Through Entities

ACCY 550: Multistate Taxation
This course examines the state and local tax laws prevalent in the United States today. The course will consider the historical progression of state and local taxation, the power of states to tax (and limitations on that power), and planning strategies for minimizing the impact of state and local taxation.

• 2 Credit Hours; 4 Weeks; Offered in May
• Prerequisite: ACCY 507
• Coursera Component: Multistate Taxation

ACCY 554: International Taxation
This course analyzes the tax treatment, issues, planning techniques and underlying government policies involved in doing business internationally.

• 2 Credit Hours; 4 Weeks; Offered in June
• Prerequisite: ACCY 507
• Coursera Component: U.S. Taxation of International Transactions

ACCY 503: Managerial Accounting
Introductory course in decision-making problems in production; includes the theoretical foundations for production management as well as the applications of decision-making techniques to production problems in the firm; and considers production processes, plant layout, scheduling, quality control, and production control in particular.

• 4 Credit Hours; Offered in March and October
• Coursera Components: Managerial Accounting: Cost Behaviors, Systems, and Analysis and Managerial Accounting: Tools for Facilitating and Guiding Business Decisions

BADM 520: Marketing Management
Introduces concepts useful in understanding marketing systems and buyer behavior in addition to developing skills in making marketing decisions; the orientation is primarily managerial and uses examples from both business and non-business contexts.

• 4 Credit Hours; Offered in August and January
• Coursera Components: Developing and Winning Marketing Strategy and Developing a Marketing Mix for Growth

BADM 567: Operations Management
Introductory course in decision-making problems in production; includes the theoretical foundations for production management as well as the application of decision-making techniques to production problems in the firm; and considers production processes, plant layout, maintenance, scheduling, quality control, and production control in particular.

• 4 Credit Hours; Offered in January and May
•  Coursera Components: Operations Management: Organization and Analysis and Operations Management: Quality and Supply Chain