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 Credits: 48
Foundational Course Credits: 9
Core Course Credits: 17
Specializations Option Course Credits: varies
Capstone Course Credits: 2
Elective Course Credits: 20
| 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. |
17 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. |
20 Credits |
| Total Credits | 48 |
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
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
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
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
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
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
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
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
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
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
Change Management
Data Mining
Financing New Ventures
Frontiers in C-Suite
Leadership
Negotiations in Organizations
Science and Practice of Complex Collaboration
Spreadsheet Modeling and Simulation
Tech Commercialization
Technology Strategy
This is a sampling of electives and not an exhaustive list; electives are subject to change.
Select a theme for list of specializations
The Finance & Economics theme sharpens your ability to make bold, data-driven decisions in areas like corporate finance, investment management, computational finance and financial economics. Dive into advanced topics like portfolio theory, big data analytics and corporate mergers while mastering econometric techniques. This hands-on, analytical approach transforms your quantitative skills and critical thinking, giving you an edge in solving real-world financial puzzles. With industry-relevant expertise in financial modeling and strategic decision-making, you'll be ready to lead in niche financial markets and thrive amid global challenges.
The Computational Finance Specialization equips students with cutting-edge tools for data-driven financial decision-making. Courses combine investment theory with hands-on projects in portfolio management, asset pricing and advanced analytics. Students gain expertise in database management, cloud-based tools and data mining, while developing AI and modeling skills to meet the demands of modern finance.
| Credits | Course |
|---|---|
| 2 | Investments
Investments 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. With real-world application, the course focuses on common stocks and options encouraging students to follow the financial press. |
| 2 | Database and SQL
Database and SQL This 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. |
| 2 | Big Data Analytics in the Cloud
Big Data Analytics in the Cloud 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. |
| 2 | Data Mining |
The Financial Economics Specialization empowers students to analyze economic forces shaping global financial markets. Coursework spans econometric techniques, trade theories and firm behavior in competitive and regulated markets. Students explore pressing issues like international trade and healthcare economics, building a solid foundation for careers requiring expertise in financial markets and public policy.
| Credits | Course |
|---|---|
| 2 | Financial Econometrics |
| 2 | International Economics |
| 2 | Industrial Economics |
| 2 | Health Economics |
Ready to revolutionize the world’s supply chains? The Supply Chain Management theme arms you with the tools to streamline global networks—from sourcing and production to distribution and sustainability. You'll learn to integrate information, finance and goods flows while mastering strategic sourcing, project management and advanced manufacturing concepts. Get hands-on with cutting-edge tools like machine learning and data visualization to drive efficiency and solve real-world challenges. Courses in ethical and sustainable supply chains ensure you're prepared for the future, while case studies and industry-backed projects connect you with the practical know-how to build resilient systems that thrive in a fast-changing world.
The Supply Chain Strategy Specialization develops leaders who can design resilient, sustainable supply chains. Using analytical tools, students master production optimization, sourcing strategies, risk management and sustainability. Real-world cases and experiential projects hone their ability to lead initiatives that drive innovation and efficiency across global supply chains.
| Credits | Course |
|---|---|
| Advanced Manufacturing
Advanced Manufacturing 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. |
|
| 2 | Strategic Sourcing and Procurement |
| 2 | Global Supply Chain Management |
| 2 | Ethical and Sustainable Supply Chain |
| 2 | Project Management |
| 2 | Change Management
Change Management 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. |
The Supply Chain Analytics Specialization trains students in data-driven decision-making for complex global networks. They build expertise in predictive analytics, machine learning and data visualization using tools like Tableau. Through hands-on projects, students learn to communicate insights effectively, optimize operations and influence strategic decisions in supply chain management.
| Credits | Course |
|---|---|
| 2 | Global Supply Chain Management |
| Advanced Manufacturing
Advanced Manufacturing 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. |
|
| 2 | Strategic Sourcing and Procurement |
| 2 | Project Management |
| 2 | Statistical and Machine Learning |
| 2 | Visualization and Persuasion
Visualization and Persuasion 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. |
Great leaders aren't born—they're developed. The Leadership theme is your launchpad to inspire teams, spark innovation and navigate complex business challenges. Through self-awareness exercises, emotional intelligence training and ethical decision-making scenarios, you’ll uncover your unique leadership style. Focused tracks like Leading Change and Innovation give you the skills to manage organizational transformation and build collaborative, forward-thinking cultures. Interested in leading technical teams? Learn executive presence, project management and tech strategy to guide teams with confidence. Whether you're driving change or inspiring innovation, this pathway equips you to excel in leadership roles across industries.
The Leadership Fundamentals Specialization prepares students to thrive in dynamic business environments. Courses focus on negotiation, leadership strategies and driving organizational change. Experiential learning, case studies and personal assessments help students build resilience, refine their leadership style and confidently tackle complex challenges.
| Credits | Course |
|---|---|
| 2 | Leadership |
| 2 | Negotiations in Organizations |
| 2 | Change Management
Change Management 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. |
The Leading Change and Innovation Specialization equips students to spearhead transformation and inspire collaboration. Topics include managing mergers and acquisitions, aligning HR with strategic goals and applying consulting frameworks to solve business problems. Students leave ready to lead cross-functional teams and drive organizational growth in fast-changing industries.
| Credits | Course |
|---|---|
| Leadership: Historical Perspectives | |
| 2 | Collaborative Innovation
Collaborative Innovation 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. |
| 2 | Merger, Acquisition and Corporate Control |
| 2 | HR Strategy |
| 2 | Consulting Tools and Skills
Consulting Tools and Skills 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. |
The Leading Technical Teams Specialization focuses on managing high-performing teams in technology-driven fields. Students develop skills in guiding technical projects, safeguarding intellectual property and bringing innovations to market. This specialization emphasizes leadership, team management and strategic problem-solving to prepare graduates for success in tech-focused environments.
| Credits | Course |
|---|---|
| 1-2 | Executive Presence
Executive Presence 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. |
| 2 | Project Management |
| 2 | Tech Strategy
Tech Strategy 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. |
| 1 | Intellectual Property Strategies
Intellectual Property Strategies 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. |
| 2 | Tech Commercialization
Tech Commercialization 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. |
Turn data into actionable insights with the Analytics theme. From predictive modeling to cloud-based big data analytics, this program equips you with the cutting-edge tools to solve complex business problems. Specialize in business or marketing analytics while mastering platforms like R, Python and Tableau. You’ll gain hands-on experience designing predictive models, creating stunning visualizations and exploring the game-changing impact of AI. With expertise that spans statistical programming, machine learning and digital marketing analytics, you'll be ready to interpret data and shape strategy in fields like finance, healthcare, operations and beyond.
The Business Analytics Fundamentals Specialization provides students with a strong foundation in data analysis and management. They learn advanced topics like machine learning, deep learning and statistical modeling. Practical applications in tools like R, Tableau and Excel equip students to leverage analytics and AI for solving complex business problems and creating high-impact data visualizations.
| Credits | Course |
|---|---|
| 2 | Big Data Analytics in the Cloud
Big Data Analytics in the Cloud 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. |
| 2 | Data Mining |
| 2 | Database and SQL
Database and SQL This 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. |
| 2 | Deep Learning
Deep Learning 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. |
| 1 | Frontiers in AI
Frontiers in AI 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. |
| 2 | Statistical and Machine Learning |
| 2 | Machine Learning II
Machine Learning II 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. |
| 2 | Spreadsheet Modeling and Simulation |
| 2 | Using R for Analytics
Using R for Analytics 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. |
| 2 | Visualization and Persuasion
Visualization and Persuasion 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. |
| 2 | Web Data Analytics
Web Data Analytics 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 Marketing Analytics Specialization prepares students to harness data and AI to optimize marketing strategies. Coursework focuses on customer behavior analysis, market segmentation and performance measurement. Students apply analytics and AI to optimize strategies and measure performance. With hands-on experience in visualization tools like Tableau, they gain the skills to drive business results and effectively communicate insights.
| Credits | Course |
|---|---|
| 2 | Digital Marketing
Digital Marketing 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. |
| 2 | Marketing Analytics |
| 2 | Visualization and Persuasion
Visualization and Persuasion 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. |
| 2 | Python Programming |
| 1 | Frontiers in AI
Frontiers in AI 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. |
Become an expert in the field you’re passionate about with an industry-focused MBA specialization. Whether it’s hospitality, health administration, defense strategy or spatial data science, these pathways help you combine technical expertise with strategic leadership to stand out in your chosen sector. You’ll learn from real-world case studies and industry-specific projects that ensure you're ready to drive change and innovation. By aligning your skills with the unique demands of your industry, you'll emerge as a competitive, forward-thinking leader equipped to make an impact.
The Defense Strategy specialization in the MBA program provides students with the knowledge and skills to navigate the complex intersection of defense, technology, and leadership. Through courses like Technology War and Strategy, Grand Engineering Challenges, and Strategic Defense Foresight and Leadership, students will explore key defense topics such as strategic planning, engineering solutions, and long-term operational foresight. They will gain a deep understanding of the historical, political, military, and technological contexts shaping defense strategies, preparing them to lead organizations in addressing future defense challenges. The specialization equips students with the tools needed to design and execute impactful strategies, making them valuable leaders in defense and industry.
| Credits | Course |
|---|---|
| Grand Engineering Challenges
Grand Engineering Challenges This course explores engineering challenges in national defense, focusing on Energy, Logistics, Information and Rapid Offense/Defense Systems. Students examine past, present and future challenges, integrating conceptual insight, research priorities and system planning skills to meet emerging defense needs. The course combines historical context with forward-thinking solutions. |
|
| Strategic Defense Foresight and Leadership
Strategic Defense Foresight and Leadership This course equips emerging leaders with strategic foresight tools to make informed decisions about long-term defense environments. Students will learn to create adaptive strategies and plans based on future scenarios, ensuring defense or industry organizations stay competitive by applying emerging insights and preparing for future operational challenges. |
|
| 3 | Technology War and Strategy |
The Spatial Data Science MBA specialization provides students with advanced skills in spatial data analysis and management. Students learn to use tools like ArcGIS Pro, Python, and remote sensing software to analyze geographic data, manage natural resources, and address environmental challenges. The specialization prepares students to design and implement spatial data solutions, integrating diverse data sources to support strategic decision-making and real-world applications across industries.
| Credits | Course |
|---|---|
| 3 | Advanced Spatial Ecology and GIS |
| 3 | Environmental Informatics |
| 3 | Geographic Information System Application |
| 3 | Remote Sensing of Land Resources |
Step into the future with the Technology theme. This dynamic pathway blends technical mastery and strategic thinking to help you lead innovation with AI and machine learning. Whether you're diving into predictive modeling and natural language processing or exploring AI governance and ethics, you'll gain the skills to shape tomorrow's tech-driven world. Hands-on projects and interdisciplinary collaboration prepare you to tackle the biggest challenges in business and technology. With customizable electives, you can align your learning with your career goals and position yourself as a leader in AI innovation and policy.
The specialization in AI Machine Learning equips students with advanced technical and analytical skills to lead in the rapidly evolving field of artificial intelligence. Students will gain hands-on experience using tools like Python, R, and SAS Enterprise Miner to tackle real-world business challenges through predictive modeling, data analysis, and natural language processing. This specialization prepares students to apply AI and machine learning techniques to solve complex problems, driving innovation and strategic decision-making across industries.
| Credits | Course |
|---|---|
| Advanced AI Fundamentals for Technical Professionals
Advanced AI Fundamentals for Technical Professionals This course explores AI fundamentals, focusing on data mining and machine learning. It covers key techniques like exploratory data analysis, predictive and descriptive modeling. Students need programming skills (Python, R) and a background in calculus, linear algebra, algorithms and probability theory for success. |
|
| 2 | Data Mining |
| 2 | Deep Learning
Deep Learning 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. |
| Natural Language Processing
Natural Language Processing This course introduces natural language processing (NLP) and computational linguistics, covering morphological, syntactic, semantic and pragmatic processing. Students will learn to design parsers, construct semantic representations and develop NLP applications like information extraction and machine translation, along with presenting research results to peers. |
|
| 2 | Statistical and Machine Learning |
The specialization in AI Policy equips students with the knowledge and skills to navigate the intersection of artificial intelligence, governance, and societal impact. Students will explore how AI shapes political, economic, and social practices, while gaining insights into the policy, legal, and ethical considerations involved in AI implementation. This specialization prepares students to lead responsible AI initiatives, advocate for effective governance, and contribute to interdisciplinary collaborations across industries.
| Credits | Course |
|---|---|
| 2 | AI Essentials: A Non-Technical Introduction
AI Essentials: A Non-Technical Introduction This course provides students on the translator track with foundational knowledge in AI, machine learning and natural language processing. It equips students to bridge language and technology, enhancing translation efficiency and accuracy. Students will also gain skills to engage in interdisciplinary collaborations and contribute to tech-driven industries. |
| Artificial Intelligence Policy, Governance and Ethics
Artificial Intelligence Policy, Governance and Ethics This course provides a foundation in the policy, ethical and legal aspects of AI governance. Students will analyze laws, regulations and governance strategies across sectors and jurisdictions, gaining an interdisciplinary understanding of ethical principles and values guiding AI development and implementation in various contexts. |
|
| Interdisciplinary AI Fundamentals: Bridging Knowledge
Interdisciplinary AI Fundamentals: Bridging Knowledge This foundational AI course covers the history, reasoning and knowledge of artificial intelligence, offering practical communication skills for AI projects. Designed for learners with diverse backgrounds, it provides a solid understanding of AI concepts, principles and applications. Basic knowledge of math and programming (e.g., Python, R, Java) is recommended. |
|
| Social Impacts of AI
Social Impacts of AI This course explores how AI transforms social, political and economic practices using interdisciplinary theories and tools. Students will evaluate AI's societal impact through case studies, research and data analysis, fostering communication between technical and non-technical fields. The course emphasizes systematic analysis of AI’s effects on society. |
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
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.
If you would like to receive more information about the online Master of Business and Technology program at Purdue, please fill out the form and a Program Specialist will be in touch.
We also have availability to meet with you virtually to discuss how your goals align with our curriculum, community, student experiences, and outcomes to determine if Purdue is the right fit for you!
