Our rigorous curriculum delivers the top-quality instruction and practical learning you need to strengthen your talents and advance into the next level of high-profile management and leadership careers. Courses include case studies, experiential projects, remote collaboration and team-based learning.
Go at your own pace and choose the course load each term that best supports your needs.
Total Program Credits¹: 48
Foundational Course Credits: 9
Core Course Credits: 22
Specializations Option Course Credits: 6-9
Capstone Course Credits: 2
Elective Course Credits: 6
| Courses | Credits |
|---|---|
|
Foundational Courses Develop a solid background in several relevant subject areas. Use the skills and knowledge you gain as building blocks for advanced academic study in the future. |
9 Credits |
|
Core Courses Gain a solid foundation for decision-making in essential areas of management and leadership. The core curriculum of the Purdue Online MBA covers general concepts and traditional management disciplines. |
22 Credits |
|
Specializations Add a specialization to focus your elective choices to gain greater knowledge in high-demand areas of business, such as Business Analytics Fundamentals, Fundamentals in AI or Marketing Analytics. Not only does a specialization expand your professional skills, but it also helps increase your career marketability. |
Credits will vary |
|
Capstone Simulation Work with a team to assume cross-functional roles to broaden your leadership skills and make strategic business decisions under pressure in a simulated real-life scenario. You’ll use data analytics to assess risk management from qualitative and quantitative perspectives. |
2 Credits |
|
Electives Tailor your degree to help you achieve your career goals with a variety of electives. Course offerings are subject to change. |
6 Credits |
| Total Credits | 48 |
Enhance your presentation skills beyond filler words and fidgeting. Students will gain confidence in leading through effective communication. This immersive course experience caters to professionals seeking improved communication across diverse audiences in order to strengthen their credibility and leadership abilities through hands-on practice and attentive listening.
Offered during the Summer months, students will attend virtually for the majority of the semester while completing their coursework over a weekend at the end of the term on-campus in West Lafayette. While on campus, students will also experience peer networking, campus tours, Purdue traditions, and more with Daniels Online Programs.
I’m a storyteller and love to make cross-cultural communication theory come to life through my business experience. I have managed and been part of global teams that brought together professionals from Asia, Europe, Africa, Australia and the U.S. I’m looking forward to sharing my experience and learning from that of the participants as well.
A. Laura Stef-Praun, PhD
Lecturer — Law, Communication, and Ethics
Mitch Daniels School of Business, Purdue University
"As an engineer with business experience, I had a desire to gain a more formal knowledge of business, decision-making and leadership. Purdue was one of the first to offer a formal program that fit my criteria."
Brian Birdsall
Division Manager
Purdue University Online MBA Graduate, 2021
Get invaluable business analytics experience when you earn an online MBA from one of the top STEM universities in the world.
Learn from leading business faculty while also gaining exposure to top professors in engineering and computer science.
Get an introduction to microeconomic theory. Analyze consumer demand, output and input decisions of firms, price determination, economic efficiency, market structures, and market failure.
This course examines how the U.S. economy functions and develops a theoretical framework permitting an analysis of the forces affecting national income, employment, unemployment, interest rates and the rate of inflation.
Emphasis is placed upon the role of government fiscal and monetary policy in promoting economic growth and stable prices. Topics covered include employment and unemployment, the monetary system, business cycles and macroeconomic stabilization techniques.
Total Credits: 2
The strategic design process helps individuals and organizations find new products and business opportunities by analyzing external and internal trends of the existing companies and industries.
It is an effective way to discover and deliver innovative business models by comparing and adopting innovations from cross-industry sectors, bridging the gap in the innovation pipeline.
Total Credits: 1
The two-course accounting sequence employs a user’s perspective on the firm’s database. First, the standard accounting model is developed into a working tool, as no prior study of accounting is assumed. Then illustrative business cases are discussed to show how external reports conform to financial contracts and public regulation.
Public reports primarily directed to investors and creditors are analyzed to reconstruct the economic events and managerial decisions underlying generally accepted accounting standards.
Total Credits: 3
This course features an integrated analysis of major marketing decisions, including product pricing, advertising, distribution and sales force policies.
Total Credits: 3
Investigate the causes of macroeconomic fluctuations in the economy. Examine changes in inflation, unemployment, real output, interest rates and exchange rates, and explore why they occur, what their effects are and what (if any) role government should play in dealing with these problems.
The course includes a mixture of theory and case studies with reference to historical case studies. Current macroeconomic problems will be discussed, with a focus on the international aspects of macroeconomic problems.
Total Credits: 1
The course studies optimal decision-making processes by managers and policymakers within firms and other organizations. Topics covered include optimal price strategies; optimal production and capacity decisions; strategic decision-making of firms; strategic interactions between firms in markets; first- and second-mover advantages; optimal number of products and branches introduced into markets; and entry-deterrence strategies.
In order to determine the manager’s optimal decisions, the course makes use of modern tools related to Game Theory. We explicitly consider strategic interactions between individual economic decision-makers (consumers, workers, firms and managers) as well as groups of these individuals (firms, households, industries, markets, unions and associations).
The main goal of this course is to provide a good understanding of logical mechanics and to provide a solid foundation in managerial economics and business decision-making processes that facilitate the understanding of daily business problems.
Total Credits: 1
Analyze short-term working capital needs, cash-budgeting procedures, pro forma statements, major types of short-term loan arrangements and short-term asset management.
Total Credits: 3
Examine the nature of the legal environment from the viewpoint of the social and moral bases of law. Emphasis is given to the operation of our legal system and its significance in managerial decisions.
Total Credits: 2
Study concepts and methods that integrate previous training in functional areas of management. The perspective is that of the general manager charged with directing the total enterprise. Emphasis is given to formulation and implementation of strategy.
Total Credits: 3
As goods and services are produced and distributed, they move through a set of interrelated operations or processes in order to match supply with demand. The design of these operations for strategic advantage, investment in improving their efficiency and effectiveness, and controlling these operations to meet performance objectives is the domain of operations management.
The primary objective of the course is to provide an overview of this important functional area of business.
Total Credits: 3
This is an introduction to quantitative decision procedures in times of uncertainty. You’ll study applications of descriptive statistics, probability models, simulation models, interval estimates and hypothesis testing to management problems. Managerial-oriented cases are used in instruction.
Total Credits: 3
The internet and other information technologies have reshaped the economic, organizational, cultural and personal landscape. Managers, consultants and entrepreneurs are all expected to effectively utilize technology to achieve organizational goals.
Organizations are now expected to not just adapt to technology changes but also innovate, taking advantage of the benefits of technology and thrive using their new capabilities. Accordingly, the objective of the course is from the perspective of information technology executive leadership interested in enhancing the organization’s competitive advantage.
Specifically, in the course, we will study in detail what the different types of technologies are, how they can be taken advantage of and what the critical success factors are for successful implementation of each type. The course material will be delivered using case discussions, lectures and examples.
Total Credits: 2
This course enhances student professionalism in managerial contexts by improving oral communication skills and developing strong oral presentation techniques.
Total Credits: 2
Individual and group behavior are the central components of the study of behavior in organizations. Focus is on the managerial application of knowledge to issues such as motivation, group processes, leadership, organizational design structure and others. The course employs cases, exercises, discussions and lectures.
Total Credits: 2
This course provides a foundation in investment management and portfolio theory, covering topics like trading mechanics, optimal portfolio selection, asset pricing models, derivative securities and trading strategies. Emphasizing real-world applications, the course focuses on common stocks and options, encouraging students to follow the financial press.
This master's course equips managers with essential database management skills for informed decision-making. It covers conceptual data modeling, ER diagrams, relational data models and SQL, enabling efficient data utilization. Practical applications through collaborative group projects reinforce key concepts and techniques, preparing participants for modern business challenges.
This course equips students with skills to leverage cloud computing and AI for big data analytics. Using Google Cloud Platform (GCP), participants learn to analyze large datasets, apply generative AI and machine learning, and develop scalable data pipelines for comprehensive analytics projects.
This data mining course teaches a structured process to analyze data, build learning models and address business problems. Students learn to handle challenges like dirty data and poor model performance. Designed for graduate students, it includes conceptual and hands-on exercises, culminating in an applied analytics project presented as a poster.
This advanced finance course builds on Financial Management (MGMT 610) to equip students with tools for financial analysis and decision-making. It focuses on investment and financing decisions, covering topics such as cost of capital, capital structure, shareholder payouts, corporate distress and bankruptcy proceedings.
This course provides a foundation in investment management and portfolio theory, covering topics like trading mechanics, optimal portfolio selection, asset pricing models, derivative securities and trading strategies. Emphasizing real-world applications, the course focuses on common stocks and options, encouraging students to follow the financial press.
This graduate course explores mergers, acquisitions and corporate restructurings, focusing on strategic, legal and financial aspects. Students examine case studies and research on merger waves, deal structures, antitakeover measures, leveraged buyouts and private equity. The course covers regulatory impacts and corporate governance’s role in shaping M&A outcomes.
This course introduces basic econometric principles to help students understand finance theories and their empirical applications. It equips students with statistical techniques for conducting applied financial research, particularly suited for analyzing financial time-series data, enhancing their ability to apply these methods to real-world financial problems.
This course covers international trade topics with a focus on real-world applications. Students learn basic trade theories addressing effects on wages, employment, prices and national welfare. These insights are then applied to examine current global economic issues, providing a deeper understanding of international trade's impact.
This course examines market performance in imperfectly competitive markets and various regulatory approaches. It emphasizes using basic economic models of firm and industry behavior to analyze and explain real-world market dynamics, providing a foundation for understanding how such markets operate and are regulated.
This course introduces upper-level undergraduate economics students to health economics, analyzing theories, institutions and key policy issues. It examines the unique markets for health and health services, focusing on government roles, market failures, demand and production of health care, provider behavior and health insurance market dynamics, particularly in the U.S.
Manufacturing drives the global economy, with recent advancements from Industry 4.0 emphasizing analytics in management. This course introduces key concepts, techniques, and models for designing and improving production processes and quality, covering process management, multiproduct management, lean manufacturing, predictive maintenance and trends like individualized manufacturing and output optimization.
As globalization intensifies, procurement has shifted from supporting roles to pivotal positions in global firms. Rising material and service costs highlight the strategic importance of sourcing and procurement management. This course covers procurement processes, terminology, metrics, decision-making and the strategic implications of internal production versus external purchasing.
This course addresses challenges managers face in multinational supply chains. Key topics include motivations for global supply chain development, risk management strategies and legal/regulatory considerations. Students will utilize qualitative frameworks, analytical tools and real-world cases to achieve learning objectives and enhance their understanding of global supply chain management.
This course examines the challenges and opportunities of sustainability in supply chains, focusing on environmental, social and governance issues. Students will explore measuring sustainability impacts, ethical practices and compliance with regulations. It’s ideal for anyone interested in ethical supply chain management, preparing them for a growing job market in sustainability.
This course introduces different phases of managing projects from conception to termination with particular emphasis on quantitative tools for planning, scheduling, resource allocation, monitoring and control. In addition, topics such as risk management, communication, and conflict management will be covered. The course will use qualitative frameworks, analytical tools and real-world cases to achieve the learning goals.
This course on change management equips individuals, managers and leaders with practical tools to implement and sustain organizational changes. It covers frameworks, models and challenges associated with change, promoting sustained change through experiential assignments. Online videos complement readings, focusing on key principles for real-world change initiatives in a flexible format.
This course addresses challenges managers face in multinational supply chains. Key topics include motivations for global supply chain development, risk management strategies and legal/regulatory considerations. Students will utilize qualitative frameworks, analytical tools and real-world cases to achieve learning objectives and enhance their understanding of global supply chain management.
Manufacturing drives the global economy, with recent advancements from Industry 4.0 emphasizing analytics in management. This course introduces key concepts, techniques, and models for designing and improving production processes and quality, covering process management, multiproduct management, lean manufacturing, predictive maintenance and trends like individualized manufacturing and output optimization.
As globalization intensifies, procurement has shifted from supporting roles to pivotal positions in global firms. Rising material and service costs highlight the strategic importance of sourcing and procurement management. This course covers procurement processes, terminology, metrics, decision-making and the strategic implications of internal production versus external purchasing.
This course introduces different phases of managing projects from conception to termination with particular emphasis on quantitative tools for planning, scheduling, resource allocation, monitoring and control. In addition, topics such as risk management, communication, and conflict management will be covered. The course will use qualitative frameworks, analytical tools and real-world cases to achieve the learning goals.
This introductory course in statistical and machine learning covers essential concepts and tools for understanding advanced techniques. Students will learn modeling and prediction methods, including linear regression, classification, regularization and tree-based methods. Extensive use of the open-source software R provides hands-on experience analyzing datasets in business and economics.
This course focuses on using Tableau to create persuasive visuals for solving business problems through storytelling. Students will learn to align their subject knowledge with the mental accounting of the audience, selecting visuals that effectively communicate their narrative to convince decision-makers, such as CEOs and board members.
This course explores leadership in business organizations, guiding students through personal exploration and development. It aims to enhance students' understanding of key leadership principles and strategies while fostering self-reflection on personal strengths and growth opportunities. Learning methods include lectures, readings, case analysis, discussions and experiential assignments, emphasizing diverse approaches.
Negotiation is a daily part of life, influencing interactions with employers, customers, friends and more. This course develops your negotiating skills and confidence, improving your ability to diagnose situations, strategize and engage effectively, even with difficult counterparts. Learning will focus on experiential exercises and negotiation research to enhance practical skills.
This course on change management equips individuals, managers and leaders with practical tools to implement and sustain organizational changes. It covers frameworks, models and challenges associated with change, promoting sustained change through experiential assignments. Online videos complement readings, focusing on key principles for real-world change initiatives in a flexible format.
(in development)
This course explores innovation as a collaborative phenomenon across organizational boundaries. Learners will acquire skills to design and facilitate conversations, platforms and ecosystems for shared-value innovation. Integrating theories from management, psychology and social science, the course emphasizes collaborative innovation processes as essential skills for the 21st-century open economy.
This graduate course explores mergers, acquisitions and corporate restructurings, focusing on strategic, legal and financial aspects. Students examine case studies and research on merger waves, deal structures, antitakeover measures, leveraged buyouts and private equity. The course covers regulatory impacts and corporate governance’s role in shaping M&A outcomes.
This introductory course on strategic human resource management explores how HR can support organizational goals. Key objectives include understanding the evolution of HR management, defining strategic HRM, creating an HRM strategic plan and demonstrating the value of strategic HRM to upper management and CEOs to enhance organizational effectiveness.
This consulting course emphasizes critical thinking and structured problem-solving, essential for addressing client challenges. It covers the consulting process common across firms, integrating multifunctional tools. Students will gain insights into the consulting industry, client management and skill development, enabling them to assess their fit within consulting careers effectively.
At Daniels, the communication faculty in Law, Communication, and Ethics help students enhance their speaking, writing and interpersonal skills for business settings. This course offers online master’s students the chance to develop and practice their executive presence, improving their effectiveness in interactions with clients, colleagues and stakeholders.
This course introduces different phases of managing projects from conception to termination with particular emphasis on quantitative tools for planning, scheduling, resource allocation, monitoring and control. In addition, topics such as risk management, communication and conflict management will be covered. The course will use qualitative frameworks, analytical tools and real-world cases to achieve the learning goals.
This master’s course examines the impact of technological innovation on market competition and how firms can strategically navigate these dynamics. It introduces tools, concepts and analytical frameworks to enhance students' abilities to define and analyze strategic problems arising from innovation, identifying competitive advantages at both industry and firm levels.
This course explores intellectual property, including copyrights, patents, trademarks and trade secrets. It consists of two modules: the first focuses on identifying and understanding each type of intellectual property, while the second applies strategy through team-based IP audits, allowing students to practice their knowledge on real companies.
This course focuses on the commercialization of innovations, products and services crucial for entrepreneurial success. With only 5% of early-stage innovations reaching the market, students will learn a comprehensive framework for navigating the technology commercialization process, gaining insights into strategies, methodologies and best practices from idea inception to market introduction.
This course equips students with skills to leverage cloud computing and AI for big data analytics. Using Google Cloud Platform (GCP), participants learn to analyze large datasets, apply generative AI and machine learning, and develop scalable data pipelines for comprehensive analytics projects.
This data mining course teaches a structured process to analyze data, build learning models and address business problems. Students learn to handle challenges like dirty data and poor model performance. Designed for graduate students, it includes conceptual and hands-on exercises, culminating in an applied analytics project presented as a poster.
This master's course equips managers with essential database management skills for informed decision-making. It covers conceptual data modeling, ER diagrams, relational data models and SQL, enabling efficient data utilization. Practical applications through collaborative group projects reinforce key concepts and techniques, preparing participants for modern business challenges.
This course offers a systematic introduction to recent developments in machine learning, focusing on deep learning and its business applications. Students will gain hands-on experience with modern frameworks while exploring concepts like neural networks, convolutional networks, recurrent networks, deep generative models and deep reinforcement learning, reflecting advancements in the field.
This self-paced course provides a high-level overview of artificial intelligence technologies and their current state. It explores AI's impact on three industries—Agriculture, Medical and Marketing—through expert perspectives. Weekly readings and videos will cover material, showcasing how AI is driving disruptive changes in these sectors.
This introductory course in statistical and machine learning covers essential concepts and tools for understanding advanced techniques. Students will learn modeling and prediction methods, including linear regression, classification, regularization and tree-based methods. Extensive use of the open-source software R provides hands-on experience analyzing datasets in business and economics.
This second course in machine learning builds on fundamental concepts from Machine Learning I. It covers advanced topics such as support vector machines, deep learning, neural networks and principal components analysis. Students will extensively use R and its packages to implement various learning methods throughout the course.
This 7-week online course provides practical spreadsheet modeling tools applicable to finance, marketing and operations. Students will gain hands-on experience using Microsoft Excel and add-ins like @RISK, RISKOptimizer and SimQuick. A basic familiarity with Excel is required to succeed in this course.
This course introduces R programming using RStudio for data analytics. Students will learn popular R packages, reinforced by a free DataCamp subscription. Assignments include conceptual and hands-on exercises, culminating in a team project to develop a YouTube video showcasing a Shiny app addressing a business problem.
This course focuses on using Tableau to create persuasive visuals for solving business problems through storytelling. Students will learn to align their subject knowledge with the mental accounting of the audience, selecting visuals that effectively communicate their narrative to convince decision-makers, such as CEOs and board members.
This course trains leaders in algorithmic problem-solving using web data across industries. Students will learn to collect, analyze and communicate insights from large datasets, emphasizing clickstream analysis and experimentation. The hands-on approach includes group projects, readings and case discussions, reinforcing data-driven decision-making in a modern business environment.
The Digital Marketing course explores how customers create and engage with digital content, posing challenges and opportunities for marketers. It covers strategies for leveraging digital media, including online advertising, analytics and social network analysis. Through lectures, case studies and projects, students will learn to develop effective digital marketing strategies.
This course focuses on essential statistical models and metrics in marketing analytics. It aims to develop students' skills in data analysis for marketing decisions. Topics include customer analytics, segmentation and A/B testing. Students will also learn to create data-driven presentations for stakeholders, enhancing their analytical confidence and effectiveness.
This course focuses on using Tableau to create persuasive visuals for solving business problems through storytelling. Students will learn to align their subject knowledge with the mental accounting of the audience, selecting visuals that effectively communicate their narrative to convince decision-makers, such as CEOs and board members.
Python Programming is an introductory course designed for students interested in data science. The course covers fundamental programming concepts, teaching students to write Python programs to solve real-world problems. It emphasizes computational methods for collecting, storing and analyzing complex data in various professional fields.
This self-paced course provides a high-level overview of artificial intelligence technologies and their current state. It explores AI's impact on three industries—Agriculture, Medical and Marketing—through expert perspectives. Weekly readings and videos will cover material, showcasing how AI is driving disruptive changes in these sectors.
Make strategic business decisions under pressure in a simulated real-life scenario. Working with a team, you’ll assume cross-functional roles to broaden your leadership skills. You’ll use data analytics to assess risk management from qualitative and quantitative perspectives.
Total Credits: 2
MGMT 57000 — Spreadsheet Modeling and Simulation
MGMT 57100 — Data Mining
MGMT 59000 — Financing New Ventures
MGMT 59000 — Frontiers in C-Suite
MGMT 59000 — Science and Practice of Complex Collaboration
MGMT 59000 — Technology Strategy
MGMT 65420 — Leadership
MGMT 65430 — Negotiations in Organizations
MGMT 69000 — Change Management
MGMT 69000 — Tech Commercialization
This is a sampling of electives and not an exhaustive list; electives are subject to change.
Make your career goals a reality with Purdue University's Online Master of Business Administration. Call 877-491-0224 to speak with an Enrollment Specialist or request more information.
1 Course offerings and plan of study subject to change.
