OIM

Subject

OIM

Credits (min)

4

Credits (max)

4

Type

course

Edition

2026-2027

Source

catalogs.babson.edu

This course focuses on the processes and management systems required for entrepreneurial leaders and managers to successfully test and actualize business strategy. To be effective, leaders must accurately interpret customer value through new product development & service system design. They must create, manage and make investments to improve the conversion of resources into delivered value. Ultimately a venture’s Operating Model must conform to the business’s objectives and tightly link all activities tailore to its strategy such that the intent and the actions achieve the desired results in an ethical and sustainable manner. The structure of this course builds the critical thinking skills and introduces the managerial methods needed to become entrepreneurial leaders and managers in all operating environments, independent of industry or scope. Students will discover how the design of operations impacts measured performance and affects customer satisfaction. The course further instructs how the digital modeling of expected results before action is taken leads to improved operational decisions. Managing operations is vital to every type of organization, for it is only through effective and efficient utilization of resources that an organization can be successful in the long run. This is especially true in a globally-networked economy, when we see that significant competitive advantages accrue to those firms that manage their operations effectively. We define operations in the broadest sense, not confining the focus within the boundaries of the firm but defining the scope to the intentions and activities considered in the supply of goods and services from their conception to their consumption. In the classroom, students will have case-based learning and hands-on experience to apply operating theories and managerial tools to make well-informed decisions. Students engage in project & group activity and assessment to help supplement individual learning throughout this course. Credits 4 Babson College Undergraduate Catalog 2026-2027

Subject

OIM

Credits (min)

4

Credits (max)

4

Credit unit

Credits

Type

course

Edition

2026-2027

Source

catalogs.babson.edu

Prerequisite

FME1000

2 Advanced Liberal Arts Credits Fluency in Excel is expected for both internships and nearly every job function for Babson graduates. This course aims to turn novice Excel users into intermediate/ advanced users. Students will learn the core principles of robust model construction, data analysis and visualization and Pivot Tables. The primary emphasis is on building models that are highly readable to facilitate collaboration. Along the way students are exposed to a wide ranging set of built-in functions including financial, logical, reference and statistical functions. In addition to functions students are exposed to a number of Excel tools such as Goal Seek, Data Tables for sensitivity d analysis and Table, Pivot Table and Conditional formatting for data analysis. You will master "clean modeling" techniques, such as using standardized cell coloring to clearly distinguish inputs from outputs, ensuring your work is professional and easily understood by collaborators. The curriculum follows a rigorous, hands-on schedule that moves from basic modeling and logical functions to complex financial modeling. You will develop sophisticated realistic tools while being exposed to dozens of Excel's functions including SUMPRODUCT, XLOOKUP, INDEX, UNIQUE, PMT, FV, PV, NPV, SUMIFS and TEXT variations. Credits 2 274

Subject

OIM

Credits (min)

2

Credits (max)

2

Type

course

Edition

2026-2027

Source

catalogs.babson.edu

Prerequisite

None

4 Advanced Management Credits Global Tech Innovation Lab is a learning-by-doing course where student teams are paired with students from universities around the world to identify and solve problems related to the development and implementation of digital, biotech, and health innovations in low- and middle-income settings. For our second offering of the course, students will be paired with students from Unifacisa Educaçâo in Campina Grande, Brazil. Students are expected to travel to Brazil (tentative dates August 11-17, 2025). Students will be assigned to a high priority project challenge from a healthcare-related organization in Brazil. Based on the challenge presented by the organization, students will use a combination of quality improvement and value sensitive design approaches. Quality Improvement (QI) is an iterative, continuous approach to enhance “the ability of a product or service to consistently meet or exceed customer requirements and expectations.” Value Sensitive Design (VSD) is “a theoretically grounded approach to the design of technology that accounts for human values in a principled and comprehensive manner throughout the design process.” The students will be expected to interact with the partner organizations regularly to make progress. Students will be connected with alumni or other experts as they need additional project support. Student teams are assessed based on their teamwork, project progress, and completion of course readings and activities. MOB1010) Credits 4 Babson College Undergraduate Catalog 2026-2027

Subject

OIM

Credits (min)

4

Credits (max)

4

Type

course

Edition

2026-2027

Source

catalogs.babson.edu

Prerequisite

(FME1000 and FME1001) or (EPS1000 and

4 Advanced Management Credits This elective course will examine the real-world operational challenges and execution risks associated with getting a venture started and building a start-up operation from scratch. The class will include case- discussions, a semester-long project and guest speakers. The course will provide students with a set of practical frameworks, decision-making techniques and business management tools that can be used in developing their operational processes and managing their operational resources in a start-up. During each session, the students will be exposed to a different operations-related concept which they will apply to their own start-up venture or to the operation of an existing local start-up in the semester-long project. We will consider the operational challenges experienced by start-up ventures in a variety of industries. Case studies and class discussions will explore operations topics which are unique to start-ups including: Operational Business Models; Start-up Operation Metrics; How to Find a Supplier/Operations Partner; Product/Service Outsourcing Mistakes; Challenges in Achieving Product/Service Quality Control; How to select a Product/Service Distribution Channel; Managing Start-up Inventory; Challenges in meeting Product/ Service Demand; Handling Market Uncertainty and Supply Uncertainty; Importance of Operational Flexibility; Bootstrapping Operational Costs; Operational Scalability. Local entrepreneurs will serve as frequent guest speakers who can provide real-world insights on their own operational challenges, failures and success as they developed their ventures. This course is an approved elective for the Operations management concentration. the instructor. Credits 4 275

Subject

OIM

Credits (min)

4

Credits (max)

4

Type

course

Edition

2026-2027

Source

catalogs.babson.edu

Prerequisite

(SME2001 and SME2002) or permission of

the Future of Business and Society 4 Advanced Management Credits This experiential studio course offers students a unique opportunity to integrate entrepreneurial leadership with social design and learn by doing as they create and implement solutions to some of the world’s pressing challenges — in partnership with innovative client sponsors. Students work collaboratively in teams supported by faculty, mentors, lecturers and their own self-initiated research. Three sections guide learners through the process of self-discovery, understanding the landscape and potential of social design in business, and hands-on application of the process to a real-world challenge. The mindsets, skillsets and processes mastered will serve students in creating the future they want throughout their lives. MOB1010) Credits 4

Subject

OIM

Type

course

Edition

2026-2027

Source

catalogs.babson.edu

Prerequisite

(FME 1000 and FME1001) or (EPS1000 and

2 Advanced Elective Credits This course explores the intersection of Artificial Intelligence (AI) and industrial operations, focusing on how AI-driven technologies are transforming manufacturing, heavy industry, infrastructure, and even space-based production. It delves into key concepts like digital manufacturing, automation, robotics, digital twins, augmented lean, Robotic Process Automation (RPA), the industrial metaverse, gigascale infrastructure, and Agentic AI, examining their practical applications and strategic implications, including industrial sustainability challenges. The course leverages Greater Boston's industrial technology ecosystem for site visits and experiential learning opportunities. A key element will be examining the "human-in-the-loop" aspects of industrial AI, recognizing the importance of human- machine collaboration. Students will also develop their own innovative applications of AI within an industrial context. As a whole, the course builds learning competencies in collaboration and entrepreneurial leadership, with an integrated sustainability perspective. Credits 2 Babson College Undergraduate Catalog 2026-2027

Subject

OIM

Type

course

Edition

2026-2027-undergraduate

Source

catalogs.babson.edu

Prerequisite

None

Subject

OIM

Credits (min)

4

Credits (max)

4

Type

course

Edition

2026-2027

Source

catalogs.babson.edu

2 Advanced Management Credits This course is an approved elective for the Operations Management concentration. According to the Project Management Institute (PMI), there are nearly 250,000 open project management jobs each year across seven project-intensive industries: business services, construction, finance and insurance, information services, manufacturing, oil and gas, and utilities. As more work becomes project-based, projects grow in complexity, and clients demand accountability and efficiency, graduates with project management skills will be in increasingly high demand. In this course, you will learn foundational skills for leading cross functional teams using up-to-date PM best practices, methodologies, and tools. This course is applicable across career paths such as consulting, information technology, entrepreneurship, new product development and many others. Students will be exposed to both the technical and behavioral skills required to effectively lead project teams -- whether as an official “Project Manager” or an unofficial leader temporarily charged with leading a project implementation. Foundations of Project Management focuses on what is often referred to as the traditional or “waterfall” approach to project management. Taught primarily via case study discussion, course content is consistent with PMP (Project Management Professional) certification principles. CIO magazine ranked the PMP as the top project management certification, as it demonstrates candidates have the specific skills and experience employers seek. This course satisfies 22 of the 23 educational hours required by PMI to apply for the junior-level PMP certification exam (known as the CAPM); the other hour was satisfied by the PM-related content in the SME prerequisites (below). Foundations of Project Management makes an attractive future pairing with the “Foundations of Agile” course offering. SME2012 Credits 2 277

Subject

OIM

Type

course

Edition

2026-2027

Source

catalogs.babson.edu

Prerequisite

SME2001 and SME2002 and SME2011 and

Total Credits: 14-16 If student received MKT5541 abroad this will count as MKT3540. The following courses, depending on role/ project, could count towards the Sales concentration with faculty contact review and approval: Course Code Title Credits

Subject

OIM

Credits (min)

4

Credits (max)

4

Type

course

Edition

2026-2027

Source

catalogs.babson.edu

Subject

OIM

Type

course

Edition

2026-2027

Source

catalogs.babson.edu

Subject

OIM

Credits (min)

4

Credits (max)

4

Type

course

Edition

2026-2027

Source

catalogs.babson.edu

Subject

OIM

Credits (min)

4

Credits (max)

4

Type

course

Edition

2026-2027

Source

catalogs.babson.edu

Subject

OIM

Credits (min)

4

Credits (max)

4

Type

course

Edition

2026-2027

Source

catalogs.babson.edu

Subject

OIM

Credits (min)

4

Credits (max)

4

Type

course

Edition

2026-2027

Source

catalogs.babson.edu

Subject

OIM

Credits (min)

4

Credits (max)

4

Type

course

Edition

2026-2027

Source

catalogs.babson.edu

This course is about how organizations, and their employees can successfully collect, evaluate and apply information to become better decision makers. It starts with basic concepts regarding business data needs and ends with hands-on experience using Business Intelligence (BI) tools. It takes a variety of experts to start and run a business – financial, operational, marketing, accounting, human relations, managerial, etc. Each knowledge base requires up-to-date information to plot strategy or keep it on track. Our ability to capture large volumes of data often outstrips our ability to evaluate and apply the data as management information. These are the challenges we will address in this course so that you can become an intelligent gatherer and user of data y in your chosen field. Credits 4

Subject

OIM

Credits (min)

4

Credits (max)

4

Credit unit

Credits

Type

course

Edition

2026-2027

Source

catalogs.babson.edu

Prerequisite

SME2012 or OIM2000

Subject

OIM

Credits (min)

4

Credits (max)

4

Type

course

Edition

2026-2027

Source

catalogs.babson.edu

4 Advanced Management Credits Business leaders and entrepreneurs should be Agile digital experimenters, capable of innovating by combining available technologies and services into digital experiences. In this course, students will learn about Agile digital entrepreneurship and follow an Agile methodology to conceive and create an internet of things (IoT) solution with a clear value proposition. Agile Experimentation (AgileEx) is an experiential course in which teams of students use agile methodologies to design and prototype viable innovations combining hardware and software elements. The course involves: • Practicing Agile project management methodologies and software, and learning how to scale Agile environments from small startups to large organizations • Designing and building IoT devices with sensors and actuators, and programming hardware (i.e., Arduino microcontrollers) • Designing digital interfaces (e.g., interactions, app mockups, information flows) with software tools • Running experiments and surveying customers to test hypotheses and improve the prototype • Building an innovation that is a feasible and responsible market solution • Presenting your work in a final pitch that showcases your prototype and its market viability • Learning about emerging technologies The course aims to train business graduates who are confident life-long learners of technology, can work in Agile environments, and can participate in the development of innovative and responsible technological solutions. Credits 4 Babson College Undergraduate Catalog 2026-2027

Subject

OIM

Type

course

Edition

2026-2027

Source

catalogs.babson.edu

Prerequisite

SME2012

Total Credits: 14- 16 Some courses listed above previously had an MOB prefix and now use STR. The course numbers remain the same and either course is accepted for the concentration. After Fall 2024, the following courses will no longer be part of the concentration: COM3504, OIM3522. 150

Subject

OIM

Credits (min)

4

Credits (max)

4

Type

course

Edition

2026-2027

Source

catalogs.babson.edu

4 Advanced Management Credits You will work with industrial design students from the Massachusetts College of Art and Design (in Boston) and engineering students from Olin College of Engineering to develop new products through projects that are student-generated. Students learn first-hand about the techniques and contributions different disciplines bring to product design and practice collaboration common in professional design settings. This course provides valuable multidisciplinary preparation for students interested to work in innovation projects in established firms or develop and launch their own consumer products. Class will be held once a week and rotate between all three campuses. Interested Wellesley students should cross-register in this course at Olin under ENGR3250. EPS4527 or DES3600 Students must have completed ONE (1) of the following courses. Students who have completed a course from Olin College, from the prerequisite course list, must contact the Registrar for a Pre-Requisite Waiver.

Subject

OIM

Credits (min)

4

Credits (max)

4

Type

course

Edition

2026-2027

Source

catalogs.babson.edu

Prerequisite

(SME2001 and SME2002) and EPS4515 or

4 Advanced Management Credits This elective is intended to introduce you to a variety of different types of artificial intelligence and to many of the issues involved in their business application. We will cover a variety of AI tools, from machine learning to natural language processing to “deep learning.” We will learn about both the functions performed by these technologies and the business issues they generate - including the roles to be performed by humans in organizations of the future. Some introductory material is provided by online videos on AI in general. We will have several external experts as guest speakers during sessions. No programming or detailed technology background is required, although you should be interested in new technology and will need to study materials about how AI works. The objective is to equip you to be a manager or professional who makes use of this technology, not a developer of it—or a translator of business requirements to professional data scientists. The course is also intended to encourage some students to go on for more technical training in AI. Specific learning objectives are listed for each session. Credits 4 283

Subject

OIM

Credits (min)

4

Credits (max)

4

Type

course

Edition

2026-2027

Source

catalogs.babson.edu

Prerequisite

SME2012

Subject

OIM

Credits (min)

4

Credits (max)

4

Type

course

Edition

2026-2027

Source

catalogs.babson.edu

4 advanced credits The AI and Societal Impact course is a foundational and non-technical course in AI. It covers the foundations of AI and the different domains of society and business that AI impacts. The course also describes the historical perspective of technology adoption and compares it with the current trajectory of AI (viewed as a disruptive technology). The course further delves into societal equity implications for AI, such as bias and discrimination, its effect on jobs, wages, and skills, as well as accessibility and inclusion. The last part of the course addresses the impact of AI on privacy and security. The course concludes with a discussion on human-AI interactions and the design of AI-based systems based on technological and ethical implications. At the completion of this course, students will be able to: • Define key terms and differentiate between technological capabilities of AI and its limitations. • Identify the different domains and how AI may impact each domain. • Understand the challenges in terms of AI’s impact on social equity and the future of employment. • Create a logical design of AI systems considering AI’s impact on media, culture, and its ethical use. Credits 4 284

Subject

OIM

Credits (min)

4

Credits (max)

4

Type

course

Edition

2026-2027

Source

catalogs.babson.edu

Prerequisite

OIM 2000

2 Advanced Liberal Arts Credits Have you ever considered building a mobile app as an entrepreneurial venture or for a firm you hope to work for? Do you have an app idea that you would like to develop further? Are you interested in honing your skills in design thinking, agile methodology and other modern- day approaches to project management and development? Do you want to better understand what it takes to successfully move an application from idea to market? If you answered “yes” to any of these questions, this course is for you! This project-based course will guide you and your team through the process of developing and honing a mobile application idea, assessing the feasibility and viability o that idea, prototyping your app, entering into a successful development relationship, packaging your app for commercial distribution and marketing your app. During each session, you will learn about your next project step. You will then apply the learnings both inside and outside of class to advance your project. You will begin your project with a design thinking exercise. You will then move through your project applying agile principles. We conclude the course with “app pitches” to get some feedback on your application. Credits 2 Babson College Undergraduate Catalog 2026-2027

Subject

OIM

Credits (min)

2

Credits (max)

2

Type

course

Edition

2026-2027

Source

catalogs.babson.edu

Prerequisite

OIM2000

Subject

OIM

Type

course

Edition

2026-2027

Source

catalogs.babson.edu

4 Advanced Liberal Arts Credits Teaches students the relevance of purpose to and means behind establishing higher security levels for computers and associated networks. The nature of various security breaches including hacker attacks, email worms and computer viruses are explored. Management's responses including policy and procedure creation, risk management assessment and personnel training program design among others are examined. The tools of both security violators and protectors are explored. This course probes deeply into technical aspects of the hardware and software required to support computer networks. The course uses a combination of readings, case studies, class discussion and guest speakers for learning. AQM1000) Credits 4 285

Subject

OIM

Credits (min)

4

Credits (max)

4

Type

course

Edition

2026-2027

Source

catalogs.babson.edu

Prerequisite

(SME2012 or OIM2000) and (QTM1000 or

Subject

OIM

Credits (min)

2

Credits (max)

2

Type

course

Edition

2026-2027

Source

catalogs.babson.edu

Subject

OIM

Credits (min)

4

Credits (max)

4

Type

course

Edition

2026-2027

Source

catalogs.babson.edu

4 Advanced Elective Credits Overview: This course is designed for ambitious business students and aspiring entrepreneurs interested in moving beyond basic concepts in programming to explore launching AI- driven products. We treat Generative AI as a fundamental business tool, focusing on value creation and market delivery. Instead of deep theoretical computer science, we concentrate on the practical architecture, the rapid prototyping process, and the critical steps needed to transition a working script into a robust, deployable, and scalable application. You will learn to develop AI systems that deliver tangible business value, grounded in your in team derived proprietary ideas. By the end of this course, you will have a production-ready application and the skills to iterate and adapt it to market demand. Concepts Covered Include:

Subject

OIM

Credits (min)

4

Credits (max)

4

Type

course

Edition

2026-2027

Source

catalogs.babson.edu

Subject

OIM

Credits (min)

4

Credits (max)

4

Type

course

Edition

2026-2027

Source

catalogs.babson.edu

Babson College Undergraduate Catalog 2026-2027 The concentration requires fulfilling 14-16 credits total, including the mandatory courses above. Elective Courses (Select Two) Choose (the remaining) 6-8 credits from the following list of courses. We strongly suggest (not required) that the student includes only one course from overseas (study abroad) for this concentration although most of all concentrations in Babson allow for 1-2 courses from abroad. Please note: other courses outside this list MAY be considered if the course demonstrates strong relevance to technology and/or entrepreneurship. Additionally, the credits for one course from a domestic or international institution outside of Babson may count for this concentration. In both scenarios, the unlisted course will require approval from the OIM division The courses are organized by topic focus. Students are encouraged to take credits to maintain topic focus. Each course is 4 Credits unless stated otherwise. Course Code Title Credits

Subject

OIM

Credits (min)

4

Credits (max)

4

Type

course

Edition

2026-2027

Source

catalogs.babson.edu

Subject

OIM

Credits (min)

2

Credits (max)

2

Type

course

Edition

2026-2027

Source

catalogs.babson.edu

Subject

OIM

Type

course

Edition

2026-2027-undergraduate

Source

catalogs.babson.edu

Subject

OIM

Type

course

Edition

2026-2027-undergraduate

Source

catalogs.babson.edu

Subject

OIM

Type

course

Edition

2026-2027-undergraduate

Source

catalogs.babson.edu

Credits 0 Babson College Undergraduate Catalog 2026-2027

Subject

OIM

Type

course

Edition

2026-2027-undergraduate

Source

catalogs.babson.edu

Credits 0

Subject

OIM

Type

course

Edition

2026-2027-undergraduate

Source

catalogs.babson.edu

Credits 0

Subject

OIM

Type

course

Edition

2026-2027-undergraduate

Source

catalogs.babson.edu

Credits 0

Subject

OIM

Type

course

Edition

2026-2027-undergraduate

Source

catalogs.babson.edu

Credits 0

Subject

OIM

Type

course

Edition

2026-2027-undergraduate

Source

catalogs.babson.edu

This course prepares students to become digital innovators—global entrepreneurs and business leaders who can make strategic business decisions involving data, digital products, and digital services; experiment with information technologies and platforms; build and work in diverse teams; and create social, environmental and economic value from data in a business context. Credits 1.5 183

Subject

OIM

Type

course

Edition

2026-2027-graduate

Source

catalogs.babson.edu

(Formerly OPS6110) If you took and passed OPS6110, you cannot register for OIM6111, as these two courses are equivalent In enterprises of any kind, managing operations effectively is essential to success. The course explores the role of operations in enabling a firm’s strategy, affecting its business model, and in creating extensible systems to capture value for multiple stakeholder classes. Students will identify critical systems, design solutions, and apply problem solving practices in ways that could potentially reset competitive conventions or enable a new initiative or venture to overcome constraints posed by a nascent & uncertain operating environment. Credits 1.5

Subject

OIM

Credits (min)

1.5

Credits (max)

1.5

Type

course

Edition

2026-2027

Source

catalogs.babson.edu

Subject

OIM

Type

course

Edition

2026-2027

Source

catalogs.babson.edu

This course will introduce fundamental programming concepts including data structures and networked application program interfaces, using three different programming languages: SQL and Python. In addition, you will learn to manage structured data (SQL) and unstructured data (Python) At the end of this course, you will gain the basic understanding of programming and managing data in a data science driven world. You will also learn: · Understand multiple definitions of business intelligence and its relationship to analytics · Understand how companies employ BI to shape strategy, monitor performance, and achieve competitive advantage · Be able to identify opportunities for using different business analytical skills in a variety of business cases · Understand database management and data warehousing and become competent in implementing them · Learn to gather, analyze, summarize and visualize data to solve basic business problems · Be able to program with SQL and Python · Understand the challenges of big data and the technologies used to build models on and draw inferences from large data sets students should contact Graduate Academic Services to pursue enrollment in this course. MBA students will be required to review approximately 2 hours of pre-work videos. Credits 3 184

Subject

OIM

Credits (min)

3

Credits (max)

3

Credit unit

Credits

Type

course

Edition

2026-2027

Source

catalogs.babson.edu

Prerequisite

Admission into the MSBA program. CAM

Subject

OIM

Type

course

Edition

2026-2027

Source

catalogs.babson.edu

(MSAEL Core) This course offers methods and frameworks for commercializing nascent technologies that offer potentially breakthrough value to the market and therefore, enormous reward for the firm, but whose value propositions and applications are highly uncertain at the outset. Aside from readings and cases, students' job will be to undertake a project either from their own organization or one provided by the faculty and, applying the tools and methods of the course, understand the technology, learn how to articulate it in terms of market opportunity, scope out the potential applications, and begin doing the hard work of evaluating the potential of the opportunity, incubating it and determining next steps. Credits 3 Babson College Graduate Catalog 2026-2027

Subject

OIM

Credits (min)

3

Credits (max)

3

Credit unit

Credits

Type

course

Edition

2026-2027

Source

catalogs.babson.edu

Prerequisite

MOB6600 and EPS6600; OIM 6600

Operational systems and processes are essential for turning a promising venture into a scalable business. In early-stage ventures, founders must define how work gets done across key areas such as process design, capacity, quality, sourcing, fulfillment, service delivery, and logistics, while building operating models that can evolve as the venture grows. In this course, students explore how to design, manage, and improve operations in ways that support both current execution and future scale. This includes examining how processes move from informal founder-led workarounds to more consistent and repeatable systems, how operating choices affect cost, speed, flexibility, and customer experience, and how technologies and digital tools can support coordination, visibility, and decision making. We will also discuss the operational challenges associated with moving from pilot or limited delivery to larger-scale execution. The course helps students understand how strong operations can become a source of discipline, adaptability, and competitive advantage in a growing business. Credits 3

Subject

OIM

Credits (min)

3

Credits (max)

3

Credit unit

Credits

Type

course

Edition

2026-2027

Source

catalogs.babson.edu

119

Subject

OIM

Credits (min)

1.5

Credits (max)

1.5

Type

course

Edition

2026-2027

Source

catalogs.babson.edu

Subject

OIM

Credits (min)

3

Credits (max)

3

Type

course

Edition

2026-2027

Source

catalogs.babson.edu

3 Elective Credits Innovators in all industries are searching for ways to bring products and services to market at an even faster pace and to scale. However, companies face a myriad of challenges that make such growth difficult, namely: environmental uncertainty, unquestioned industry standards, and seemingly stagnant organizational cultures. And while ideating and prototyping new ideas becomes more manageable for firms, bringing those ideas to scale is still elusive Experimentation has recently been revered as the way forward to address these challenges. In this course, students will study historical and more recent experimentation techniques from technology and operations management. Students will compare and contrast these techniques and apply them to a project. Credits 3 Babson College Graduate Catalog 2026-2027

Subject

OIM

Type

course

Edition

2026-2027-graduate

Source

catalogs.babson.edu

Subject

OIM

Type

course

Edition

2026-2027

Source

catalogs.babson.edu

3 Elective Credits The digitalization of products, processes, and business models is accelerating the rate of change in every industry and how organizations deliver value. While the majority of organizations report having initiated digital transformation efforts, studies highlight that fewer than 30% of these digital initiatives deliver positive results. However, no single digital transformation strategy applies to every company’s situation, as digital transformation depends as much on the business context and organizational design, culture, and talent as it does on digital technologies. In this course, we will use the case method to explore digital transformation efforts for a number of organizations across a variety of industries, and learn about the emerging technologies (e.g., AI, blockchain, extended reality, robotics) driving their transformation. Students will gain critical-thinking skills, work in groups, learn to apply different perspectives and frameworks to analyze complex business scenarios, and practice communication skills. Case analyses and in-class discussions will be complemented with a digital transformation consulting project. Credits 3 Babson College Graduate Catalog 2026-2027

Subject

OIM

Type

course

Edition

2026-2027-graduate

Source

catalogs.babson.edu

Prerequisite

OIM7800

Subject

OIM

Credits (min)

3

Credits (max)

3

Type

course

Edition

2026-2027

Source

catalogs.babson.edu

Traditionally, supply chains were seen as sources of cost that were necessary to achieve the goals of buying, selling, manufacturing, assembling, warehousing, transporting, and delivering goods. More recently, managers have come to understand the potential of the supply chain as a source of competitive advantage and expand efforts beyond cost minimization and into the realm of profit maximization and expanding market share. At the same time, supply chains have become increasingly large and complex with the potential for thousands of suppliers, manufacturers, distributms, and retailers to be included in the supply chain for a single product. This increase in supply chain size has coincided with exponential increases in the amount of data collected and maintained by firms and the computing power we have available to analyze it. Problems which were entirely intractable decades ago can now be solved at scale in a matter of minutes. As technology has increased the number of problems that can be solved at industrial scale, firms have shifted from primarily focusing on descriptive analytics to utilizing the power of predictive and prescriptive analytics to solve supply chain problems. This course is designed to provide you with a broad introduction to the uses of prescriptive analytics to optimize common supply chain decisions associated with purchasing, manufacturing, distributing, and retailing goods and services. The focus will be on identifying areas of Supply Chain Management where optimization and simulation are helpful tools, selecting and implementing appropriate models given the context, and interpreting those models and their limitations. We will discuss a variety of decisions across the different functions of the supply chain and the role of optimization and data in making those decisions. Students will gain a foundational understanding of how analytics can be applied to Supply Chains, the currently available tools and software, and how to recognize common pitfalls or issues. Credits 3 Babson College Graduate Catalog 2026-2027

Subject

OIM

Credits (min)

3

Credits (max)

3

Credit unit

credits

Type

course

Edition

2026-2027

Source

catalogs.babson.edu

Prerequisite

None

Subject

OIM

Type

course

Edition

2026-2027

Source

catalogs.babson.edu

This graduate elective course introduces students to artificial intelligence (AI) technologies, their value propositions in business, and their transformative potential and responsible implementation. We will cover AI from machine learning to natural language processing to “deep learning,” and Large Language Models. We will address both the functions performed by these technologies and the business issues that emerge from their adoption—including the roles to be performed by humans in the knowledge work processes of the future, the ethical implications of AI technologies, and the holistic redesign of the AI-enhanced organization. The course will include study of exemplary organizations, and a final project in which students will create and present a generative AI strategy for an organization. The curriculum includes multiple hands-on activities with AI technologies, and students are expected to review materials explaining the operation of artificial intelligence technologies, but no programming background is necessary for this course. Credits 3 Babson College Graduate Catalog 2026-2027

Subject

OIM

Credits (min)

3

Credits (max)

3

Credit unit

Credits

Type

course

Edition

2026-2027

Source

catalogs.babson.edu

Prerequisite

OIM7800

This course will introduce fundamental programming concepts including data structures and networked application program interfaces, using three different programming languages: SQL and Python. In addition, you will learn to manage structured data (SQL) and unstructured data (Python) At the end of this course, you will gain the basic understanding of programming and managing data in a data science driven world. You will also learn: · Understand multiple definitions of business intelligence and its relationship to analytics · Understand how companies employ BI to shape strategy, monitor performance, and achieve competitive advantage · Be able to identify opportunities for using different business analytical skills in a variety of business cases · Understand database management and data warehousing and become competent in implementing them · Learn to gather, analyze, summarize and visualize data to solve basic business problems · Be able to program with SQL and Python · Understand the challenges of big data and the technologies used to build models on and draw inferences from large data sets approximately 2 hours of pre-work videos. Credits 3 189

Subject

OIM

Credits (min)

3

Credits (max)

3

Credit unit

Credits

Type

course

Edition

2026-2027

Source

catalogs.babson.edu

Prerequisite

MBA students will be required to review

Subject

OIM

Type

course

Edition

2026-2027

Source

catalogs.babson.edu

3 Elective Credits The FutureLab is a discovery and action-learning lab. It involves experiential learning in service to address challenges in real time and in real contexts. As a FutureLab student partner, you will collaborate with an ensemble of faculty members and partner organizations to explore their challenges and develop solutions for social impact at scale. You should be prepared to engage in self-paced team projects in an active learning environment. You will combine the entrepreneurial mindset and apply principles of complex problem solving for social impact. o Given the increasing preference shown by employers for demonstrated problem solving experience, this lab will provide you with the opportunity to add a very realistic problem solving experience to the portfolio of qualifications on your resumes. We envision regular, ongoing interaction with our partners, with details to be determined in collaboration with these partners. You will gain skills in creativity, critical thinking, innovation, complex problem solving, social change, and entrepreneurial leadership and influence. Depending on the demands of the project, you will apply these skills towards framing the problem and co-creating solutions with community and partner organization. The 14-week lab experience is designed for active learning, experimenting, generating and launching an implementation plan. Student partners of prior semesters addressed various problems, such as improving the efficiency and effectiveness of key patient care processes for a major academic medical center and analyzing the mobility challenges of older adults for governmental organizations. The focus of the Lab is going to be on mobility and connectivity challenges. It is important to know that this is a team-based engagement and anticipate the flexible investment of time and effort that high-performance teams and deep work often demands. This Lab requires a high willingness to work in a flexible time frame and framework. Student partners may be interviewed prior to class by the Lab faculty team. Credits 3 190

Subject

OIM

Type

course

Edition

2026-2027

Source

catalogs.babson.edu

Subject

OIM

Credits (min)

3

Credits (max)

3

Type

course

Edition

2026-2027

Source

catalogs.babson.edu

3 Elective Credits The era of corporations integrating sustainable practices is being surpassed by a new age of corporations actively transforming the market to make it more sustainable. Enterprise integration is geared toward present-day measures of success; market transformation will help companies create tomorrow’s measures. This course prepares entrepreneurial leaders to create systemic transformation and apply practical decision-making with the purpose of socio-ecological and economic value. In this course you will learn different approaches including systems thinking to design, develop and implement sustainability-oriented innovations. After completing this course, you will be able to (1) Critically examine the relationship between business practices and socio-ecological system, (2) Understand and apply the concepts of sustainability thinking and practice (externalities, process thinking, and systems and design thinking) to design, develop and implement sustainability-oriented innovations with socio-ecological systemic impacts, (3) Understand how to operationalize the four elements of sustainability thinking and practice (purpose and strategic intent, stakeholder involvement, metrics, design and implementation of innovations) (4) Develop knowledge and skillset to take lead in formulating an effective sustainability strategy for the transformation of a conventional organization Credits 0 191

Subject

OIM

Type

course

Edition

2026-2027

Source

catalogs.babson.edu

Subject

OIM

Credits (min)

1.5

Credits (max)

1.5

Type

course

Edition

2026-2027

Source

catalogs.babson.edu

Subject

OIM

Type

course

Edition

2026-2027

Source

catalogs.babson.edu

(Previously titled Artificial Intelligence for Business) 3 Blended Credits This course introduces students to cognitive technologies (another phrase for “artificial intelligence" and addresses their value and implementation in business. A variety of cognitive tools will be covered, from machine learning to natural language processing to “deep learning.” Both the functions performed by these technologies and the business issues they generate—including the roles to be performed by humans in knowledge work processes of the future—will be addressed in the course. Some instruction is provided by online videos on cognitive technologies. There will be several guest lectures from external experts on various cognitive technologies and management issues. No programming background is required, although students will need to study materials about how cognitive technologies work. Credits 3 Babson College Graduate Catalog 2026-2027

Subject

OIM

Credits (min)

3

Credits (max)

3

Type

course

Edition

2026-2027

Source

catalogs.babson.edu

Subject

OIM

Credits (min)

3

Credits (max)

3

Type

course

Edition

2026-2027

Source

catalogs.babson.edu

3 Elective Credits Product Design and Development (PDD) is an integrated management course that provides students with a field- based understanding of the fundamentals of conceiving, evaluating, and developing successful new physical products. One works in a team-based environment learning how to translate a new product idea into a product concept and final design. The course extends the design toolkit introduced in core MBA courses, preparing students to create final working prototypes to be used to pursue funding for venture launch. Weissman Foundry resources are used extensively to develop product prototypes. Student teams propose projects or are matched with projects in collaboration with participating client companies. The course culminates in the MBA Product Design Fair where teams present final product prototypes. The course covers emerging topics and tools in sustainable product design as well as the use of generative artificial intelligence in the design process. While there is some case-based learning, the primary focus is on experiential learning through creating new products. The course is particularly relevant for students interested in launching ventures based on physical products, those seeking employment in companies with a product focus, those wishing to learn more about the design and innovation process through engaging in a semester-long development project, and those interested in product management roles. (3.0

Subject

OIM

Type

course

Edition

2026-2027

Source

catalogs.babson.edu

1.5 Elective Credits The course is designed for the next generation managers who need to appreciate both the technical aspects and business impacts of cybersecurity in the enterprise. Different types of security break from a manager’s perspective are explored. Students will also learn to design or support cybersecurity initiatives such as a risk management, policy creation, incident response and continuous improvement. The course uses a combination of readings and current events, class discussion and quest speakers for learning. Credits 1.5

Subject

OIM

Type

course

Edition

2026-2027-graduate

Source

catalogs.babson.edu

Prerequisite

None

1.5 Elective Credits This course is for students wishing to explore blockchain technology (and specifically NFTs). Kicking off with a review of the technology’s initial application, the cryptocurrency Bitcoin, students will gain an understanding of the commercial, technical and public policy fundamentals of blockchain technology, distributed ledgers and smart contracts in both open sourced and private applications. We then will deep dive into the Ethereum ecosystem, where we cover how it works, review ‘the merge’, and provide case studies of NFTs in gaming, music among other industries. Along the way, we will explore the markets and regulatory landscape for cryptocurrencies, DAOs, coin offerings, other tokens, as well as new forms of financing through crypto. An important distinction will be made between leveraging the technology of Blockchain into a business, and NFTs, which are a specific use of blockchain technology. Credits 1.5 194

Subject

OIM

Credits (min)

1.5

Credits (max)

1.5

Type

course

Edition

2026-2027

Source

catalogs.babson.edu

Prerequisite

None

3 Elective Credits This graduate elective offers an in-depth exploration of supply chain management as a strategic function within modern organizations. Students from all concentrations will examine advanced concepts in demand planning, procurement, logistics, inventory optimization, and supplier collaboration, with a focus on how these elements align to achieve strategic fit & contribute to competitive advantage. Emphasis is placed on global supply chain dynamics, ethical sourcing, and the integration of digital technologies into supply chain design and operation. Case studies from diverse industries will challenge students to critically evaluate real-world scenarios and propose innovative solutions. Supply Chains have evolved rapidly in the Digital Age and will continue more so in the AI epoch. In some cases, supply chains function well beyond a commercial utility as geopolitical instruments and catalysts for social change. This course is designed for graduate students preparing for leadership roles in existing organizations, institutions or new ventures where the supply chain is an instrument of strategic intent & actualization. As such the course integrates analytical tools, emerging technologies, and quantitative models to support data- driven decision-making. Students of Supply Chain Management will engage in simulations, team-based projects, and applied research to develop practical skills in designing and managing capital, material and information flows involving multiple, interactive parties. Thus, asymmetric interests & information pooling often govern the Chain’s behavior as it interprets the uncertainty inherent in both supply and demand. As global systems that cross geographic, cultural & regulatory boundaries, supply chains often exhibit adaptive, self-resilient and even goal-seeking behaviors. By the end of the course, participants will be equipped to assess supply chain performance, lead strategic initiatives, and contribute to organizational transformation in complex, global environments. Prerequisites: 1) NONE for those involved in Specialty Masters

Subject

OIM

Credits (min)

3

Credits (max)

3

Type

course

Edition

2026-2027

Source

catalogs.babson.edu

Independent research is available for all academic divisions. Registration is manual for students through Graduate Programs and Office of Graduate Academic Services. Independent Research provides an opportunity to conduct in-depth research in areas of a student's own specific interest. Students may undertake Independent Research for academic credit with the approval of a student-selected faculty advisor, the appropriate division chair, and Graduate Academic Services. Please note that a student is responsible for recruiting a faculty advisor through the student's own initiative and obtain the advisor's prior consent/commitment before applying for an independent research project. The research project normally carries 1.5 or 3 credits. For more information and a proposal outline please visit: http://www.babson.edu/Academics/graduate/mba/Pages/ independent-research.aspx Credits 3 195

Subject

OIM

Credits (min)

1.5

Credits (max)

3

Credit unit

Credits

Type

course

Edition

2026-2027-graduate

Source

catalogs.babson.edu

Subject

OIM

Type

course

Edition

2026-2027

Source

catalogs.babson.edu

(Core MBA) If you have taken and passed OPS7200, you cannot register for OIM7800, as these two courses are equivalent This course focuses on the role of operations and information in executing a firm’s strategy and delivering the organization’s products and/or services. Within this focus, students learn to apply operations design and strategy in three ways. First, they learn to configure resources and design processes to achieve performance, identify improvement opportunities, and leverage strategic capabilities for sustainable growth. Second, they learn the strategic role of technology and data, and use data for improving the operational model. Third, they study the operational model of innovation to create sustainable value for an organization. With an emphasis on building long-term sustainable models, this course helps managers consider environmental and social impact in their operating models. Credits 2 e

Subject

OIM

Credits (min)

2

Credits (max)

2

Credit unit

Credits

Type

course

Edition

2026-2027

Source

catalogs.babson.edu

Credits 3

Subject

OIM

Type

course

Edition

2026-2027-graduate

Source

catalogs.babson.edu

Credits 3 196

Subject

OIM

Type

course

Edition

2026-2027-graduate

Source

catalogs.babson.edu

1.5 Intensive Elective Credits Over the past two decades, a combination of changes in political, technological, and cultural arenas have dramatically affected the way in which companies, organizations, and individuals innovate. In this course, we will explore the critical parameters of various innovation processes, learn about their advantages and disadvantages, and compare the contexts in which these processes operate. The goal of this course is to develop an understanding of what it takes to design and operate various innovation processes. In the first offering of the course, the emphasis will be placed on open innovation processes, design thinking and lean start-up, and coordination issues of complex innovation processes. This course is positioned between our existing offerings Product Design and Development (MOB-7555), which provides an in-depth experience on the project level, and Leading Innovation: Creating Organic Growth (MOB-9525), which discusses managerial and strategic challenges on the firm level in the context of industry and competition. In contrast, the new course Innovation Processes will focus on the mechanisms of how design and manage effective innovation processes. Credits 1.5 Babson College Graduate Catalog 2026-2027

Subject

OIM

Type

course

Edition

2026-2027

Source

catalogs.babson.edu

(Formerly MOB9526 #CX #UX #XD) 1.5 Intensive Elective Credits This course will complement an existing graduate 1.5-credit elective called Strategies for Innovation and Growth. It is also a good complement to the Managing Technological Innovation course. As their titles suggest, the latter course is overwhelmingly focused on technology based products and hi-tech industries while the former is focused on how can large firms can create and sustain innovation and growth activities. This course will complement two existing graduate 1.5-credit electives (1) Leading Innovation @ Gorillas, Chimps & Monkeys and (2) Innovation Processes. All countries go through life cycles-agriculture, manufacturing, services and knowledge. The majority of the developed world can be considered today to be primarily in the post-service knowledge based industries. Providing services in addition to goods, which were at one time a differentiator for most businesses are more or less commoditized today. Several trends have emerged over the last 15 years: (1) Move from Services to Experiences; (2) Emergence of new Digital and Networked Economies; (3) Information and Knowledge Intense Economies; (4) the rise of the new post-PC industry, also known as the TIME industry, i.e., the convergence of the Telecom, Information, Media and Entertainment industries and (5) new forms of Designing & Delivering Great Customer Experiences. This course explores the innovations that are driving all these trends as primarily applied to a broad section of service industries-Airlines, Retail, Hospitality, Healthcare, Financial, B2B, TIME and even Not-for-Profits. This course will cover: understanding the customer psychology and perceptions in service interactions; explore concepts, methods and tools to dream, define, design and deliver great customer experiences; innovative strategies to use customer experience as a differentiator; and how the convergence of digital technologies – data, voice & video – is helping firms to engage customers in new and innovative ways. This course is typically offered in the following semesters: Fall/Spring/Summer Credits 1.5 197

Subject

OIM

Type

course

Edition

2026-2027-graduate

Source

catalogs.babson.edu

Notes: OIM9530 introduces he concept of data management in organizations and is recommended for students with limited background in IT, programming, and data management. OIM6300 offers a deeper dive into programming and data management. OIM7 501 is an introduction to databases, and has a small overlap wit OIM 6300, which delves deeper into database management and programming.

Subject

OIM

Credits (min)

1.5

Credits (max)

1.5

Type

course

Edition

2026-2027

Source

catalogs.babson.edu

1.5 Intensive Elective Credits

Subject

OIM

Type

course

Edition

2026-2027

Source

catalogs.babson.edu