OIM9526 #CX #XD Innovation
(Formerly MOB9526 #CX #UX #XD)
1.5 Intensive Elective Credits


If you took and passed MOB9526, you cannot register for OIM9526, as these two courses are equivalent

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

  • Program: Graduate
  • Division: Operations and Information Management
  • Level: Graduate Elective (Grad)
  • Course Number: OIM9526
  • Number of Credits: 1.5

OIM7502 Advanced Programming for Business Analytics
3 Elective Credits

Python is a general-purpose programming language that has rapidly become one of the most popular languages for data science. Python allows users to quickly and efficiently collect, clean, analyze, visualize and narrate using any kind of data (structured, semi-structured or un-structured); irrespective of how messy the data might be. In this course, students will advance their python skills for data science. Students use a variety of data to learn powerful ways to conduct data analytics and learn helpful data science tools along the way. This will equip students to conduct their own analyses towards the end of the course.

Prerequisites: OIM 6301

  • Program: Graduate
  • Division: Operations and Information Management
  • Level: MSBA Elective (Grad),Graduate Elective (Grad)
  • Course Number: OIM7502
  • Number of Credits: 3

OIM7525 AGILE EXPERIMENTATION
(FORMERLY MIS7535)
1.5 Elective Credits

If you took and passed MIS7525, you cannot register for OIM7525, as these two courses are equivalent

Agile Experimentation (AgileEx) is an experiential course in which teams of students use agile methodologies to design and prototype viable Internet of Things (IoT) innovations combining hardware and software components. The course involves:


- Practicing Agile/SCRUM project management methodologies and software, and learning how to scale Agile environments from small startups to large organizations
- Designing and building IoT (or wearable) devices with sensors and actuators, and programming hardware (i.e., Arduino boards)
- Designing digital interfaces and processes (e.g., app mockups, process diagrams) with software tools
- Running experiments and surveying customers to test hypotheses and iterate in the development of a prototype
- Building an innovation with a clear value proposition
- Learning about emerging technologies
- Presenting your work in a final pitch that showcases your prototype and its market viability

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 technological solutions that integrate hardware and software components.

The course does not require programming, Agile, or software/hardware prototyping experience.

Prerequisites: None

  • Program: Graduate
  • Division: Operations and Information Management
  • Level: MSBA Elective (Grad),Graduate Elective (Grad)
  • Course Number: OIM7525
  • Number of Credits: 1.5

OIM7546 Analytical Managers and Organization
(Formerly MBA7545)
3 Blended Credits

If you took and passed MBA7545, you cannot register for OIM7546, as these two courses are equivalent

This course is designed to teach MBA students what it means to be an analytical manager, and how to build the capabilities required to be a highly analytical organization. It addresses the non-statistical topics in analytical decision-making at the individual level (including framing the problem and communicating the results), which should complement statistically-oriented courses at Babson. It also addresses the key factors (in the DELTTA model-data, enterprise, leadership, targets, technology, and analysts) necessary to succeed with analytics at the organizational level. It incorporates new course content specifically relevant to big data and analytics based on it. The course specifically delves into how both large and entrepreneurial organizations are addressing big data and analytics, and focuses in particular on how digital and online firms use and manage analytics. We'll discuss various industries' and functions' use of analytics, but the only one addressed in any depth is web analytics for digitally-oriented businesses.

  • Program: Graduate
  • Division: Operations and Information Management
  • Level: Graduate Elective (Grad)
  • Course Number: OIM7546
  • Number of Credits: 3

QTM6600 Analytics for Decision-Makers
1.5 Credits (MSAEL core)
Data exploration and data-driven decision making are integral in identifying and validating business opportunities. Depending on the nature of the problem and the institutional context, techniques ranging from classical statistical methods (descriptive and inferential statistics) to more recent advances in big data and tools (Excel, R, Tableau) might provide the greatest utility and deepest insights. In this course, we encounter selection of these techniques and develop our ability to formulate analytics problems in ambiguous contexts, quantify performance of various solutions, and articulate the key results of our analysis to a non-technical audience, including using visualization methods.

Prerequisites: MOB6600 and EPS6600

  • Program: Graduate
  • Division: Mathematics Analytics Science and Technology
  • Level: MSAEL (Grad)
  • Course Number: QTM6600
  • Number of Credits: 1.5

OIM7545 Artificial Intelligence for Business
(Formerly MIS7545 Cognitive Technologies)
3 Blended Credits

If you took and passed MIS7545, you cannot register for OIM7545, as these two courses are equivalent

F2F Meeting Dates TBD

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.

  • Program: Graduate
  • Division: Operations and Information Management
  • Level: MSBA Elective (Grad),Graduate Elective (Grad)
  • Course Number: OIM7545
  • Number of Credits: 3

FIN7572 Babson College Fund

3 Elective CreditsThe Babson College Fund is a two-semester course, where selected students manage a portion of the Babson College endowment. The Babson College Fund Office selects undergraduate and graduate students to be analysts and portfolio managers.

By learning the basics of security analysis and portfolio management, it is hoped that students will be prepared to take jobs in the Investment Management and Investment Banking industries post-graduation.

The Program Director and Executives in Residence are committed to helping this pursuit as much as possible. The course also requires that students refine their networking skills and develop a proficiency in the analytical tools available through the Cutler Center to maximize their employment prospects.

Prerequisites: Program Director (Patrick Gregory) Permission

  • Program: Graduate
  • Division: Finance
  • Level: MSF Elective (Grad),Graduate Elective (Grad)
  • Course Number: FIN7572
  • Number of Credits: 3

MBA7800 Babson Consulting Experience
3 Credits

If you have taken and passed MBA7201, you cannot register for MBA7800, as these two courses are equivalent

During the Fall Semester all MBA students will enrolled in the Babson Consulting Experience (BCE) and assigned to a team of five to six other one-year students to work on consulting project for a partner organization. Guided by a faculty advisor (who also is the instructor of the course), BCE teams work directly with company representatives to address a real organizational opportunity or challenge and create value-added solutions.

A signature learning experience, BCE gives students an opportunity to deepen their understanding of conceptual and developmental tools learned in the classroom through hands-on applications in messy real-world contexts. Students will sharpen their ability to analyze and frame complex problems, and to effectively present insights and action recommendations, in both oral and written form. Finally, by working in teams and with external organizations, students will have many opportunities to practice the teamwork and leadership skills that they will need as you continue your professional development.

**It is strongly recommended that students take this course after completing a majority of the core courses.**

Prerequisites: Minimum of 12 credits completed

  • Program: Graduate
  • Division: Management
  • Course Number: MBA7800
  • Number of Credits: 3

OIM7565 Blockchain Ventures
(Formerly MIS7565)
1.5 Elective Credits

If you took and passed MIS7565, you cannot register for OIM7565, as these two courses are equivalent

Blockchain Ventures takes students through a series of frameworks and case studies to highlight the specific benefits of blockchain and its applicability into various markets. Some existing markets, some new markets = new ventures. We will cover introductory overview and get into case studies of new ventures and projects within larger enterprises. We will also cover ICOs and fundraising mechanisms. And the regulatory environment in the US and globally. We will cover cryptocurrencies (bitcoin, ethereum, zcash, ripple, others) and Web3.0, DAPPS and emerging business models in these new frameworks.

Prerequisites: None

  • Program: Graduate
  • Division: Operations and Information Management
  • Level: MSBA Elective (Grad),Graduate Elective (Grad)
  • Course Number: OIM7565
  • Number of Credits: 1.5

MKT7572 Brand Management
3 Credits
Brand Management is an advanced marketing course that will prepare students to lead a brand- centered marketing team in the consumer products/services arena. Branding and marketing decisions are usually made in a context of imperfect information, decision models that combine analysis with judgment, and a marketplace that is fast-changing. The emphasis in the course is to explore _what every brand/product manager needs to know_ to operate successfully in this real world environment. The concept of _brand equity_ is the unique aspect of this course versus other marketing classes and will be a unifying theme throughout. Understanding how to build strong brands is the strategic imperative of the course.


This class will first cover the role market research plays in helping make informed brand decisions. Next, the course will explore key branding concepts and frameworks that lead to effective management of these brands. Finally, the course concludes with applying these key strategic branding concepts to the more tactical aspects of executing a brand's marketing efforts. In this final section of the course, we will devote 4 classes to building brands in the Web 2.0 world.
In addition, given the course's focus on _what every brand/product manager needs to know_, 4-5 contemporary branding experts in key fields, such as branding law and digital/social media, as well as senior marketing executives, will be guests in class, adding their current and relevant branding experiences to the class discussions.

This course is typically offered in the following semesters: Fall and Spring

Prerequisites: MKT7200 or MKT7800 or equivalent core

  • Program: Graduate
  • Division: Marketing
  • Level: Graduate Elective (Grad)
  • Course Number: MKT7572
  • Number of Credits: 3