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QTM2000 Case Studies in Business Analytics
4 Intermediate Liberal Arts CreditsThis course builds on the modeling skills acquired in the QTM core with special emphasis on case studies in Business Analytics - the science of iterative exploration of data that can be used to gain insights and optimize business processes. Data visualization and predictive analytics techniques are used to investigate the relationships between items of interest to improve the understanding of complex managerial models with sometimes large data sets to aid decision-making. These techniques and methods are introduced with widely used commercial statistical packages for data mining and predictive analytics, in the context of real-world applications from diverse business areas such as marketing, finance, and operations. Students will gain exposure to a variety of software packages, including R, the most popular open-source package used by analytics practitioners around the world. Topics covered include advanced methods for data visualization, logistic regression, decision tree learning methods, clustering, and association rules. Case studies draw on examples ranging from database marketing to financial forecasting. This course satisfies one of the core requirements towards the new Business Analytics concentration. It may also be used as an advanced liberal arts elective or an elective in the Quantitative Methods or Statistical Modeling concentrations.
Prerequisites: QTM1010 (or QTM2420)
AQM2000 Predictive Business Analytics
4 Foundation Liberal Arts Credits
**This Course is only open to students who started Fall 2021 or after**
This course introduces students to the foundational ideas of modern data science through a hands-on implementation in modern statistical software. Students will encounter key conceptual ideas like the importance of holdout data, the dangers of overfitting, and the most common performance indicators for various model types through a tour of popular and practical predictive analytics algorithms: linear regression, k-nearest neighbors, logistic regression, classification and regression trees, naive Bayes', and others. In addition to these supervised learning models, students will investigate unsupervised learning models like association rules and clustering, which are designed to uncover structure in data rather than predict a particular target. Throughout the course, students will practice communicating the results of their analyses to a variety of stakeholders.
QTM1000 Quantitative Methods for Business Analytics I
4 CreditsThe course introduces the necessary core quantitative methods that are prerequisites to follow-on courses in QTM and in Babson's integrated core business offerings. Statistical software and the use of spreadsheets are integrated throughout so that students better comprehend the importance of using modern technological tools for effective model building and decision-making. About two thirds of the course is data-oriented, exposing students to basic statistical methods, their conceptual underpinning, such as variability and uncertainty, and their use in the real world. Topics include data collection, descriptive statistics, elementary probability rules and distributions, sampling distributions, and basic inference. The last third of the course is dedicated to selected non-statistical quantitative techniques applied to business models. Topics include curve fitting, differential calculus applications to non-linear optimization, and introduction to the time value of money.
OIM3545 Business Intelligence and Data Analytics
Students who took this as MIS3545 cannot register for this course
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 in your chosen field.
Prerequisites: SME2012 or OIM2000
QTM1010 Quantitative Methods for Business Analytics II
4 CreditsThis course explores decision-making problems in a managerial context using algebraic, spreadsheet, graphical, and statistical models. The focus is on understanding basic mathematical and modeling principles through the analysis of real data. The course emphasizes communicating in-context interpretations of the results of analysis in written, visual, and oral form. A foundation in introductory statistics and use of spreadsheets is essential because these concepts are extended and reinforced throughout the course. Topics include introductions to linear regression, time series analysis, linear programming, decision analysis and simulation. It emphasizes the use of appropriate software and the latest technological methods for accessing and analyzing data.
Prerequisites: QTM1000 or AQM1000
AQM1000 Foundations of Business Analytics
4 Foundation Liberal Arts Credits
The course introduces the necessary quantitative methods that are prerequisites to follow-on courses in AQM and in Babson's integrated core business offerings. Statistical software and the use of spreadsheets are integrated throughout so that students better appreciate the importance of using modern technological tools for effective model building and decision-making. The initial third of the course focuses on basic frequentist statistical methods, their conceptual underpinning, such as variability and uncertainty, and their use in the real world. Topics include data visualization, data collection, descriptive statistics, elementary probability rules and distributions, sampling distributions, confidence intervals, and hypothesis testing. The remainder of the course is dedicated to decision-making problems in a managerial context using algebraic, spreadsheet, graphical, and statistical models. Topics include introductions to linear regression, time series analysis, and simulation. The course emphasizes the effective communication of quantitative results through written, visual, and oral means.
QTM2623 Programming with R for Business Analytics
4 CreditsThis course provides experience in developing, testing, and implementing business analytics software using the R language. R has become the leading tool for analytics software design, statistical computing, and graphics. The language is greatly enhanced by numerous open-source contributed packages and textbooks submitted by users, and it is used almost exclusively in most of the leading-edge analytics applications, such as statistical analysis and data mining. No prior programming experience is assumed. Students will become proficient in programming in the R language with datasets of all kinds with an emphasis on statistical exploration, data mining, graphics, and advanced programming concepts. The course will be case-oriented. The intent is to further enhance the learning experience from other analytics courses, such as QTM1010 and QTM2000.
Prerequisites: QTM1010 and QTM2000 or permission from the instructor
ACC3536 Accounting Analytics
4 Advanced Management CreditsStudents who have taken ACC3545 cannot take this course and vise versa
Data and analytics are being used to assist businesses in becoming more efficient and effective in their decision-making process. This course will improve your ability to critically analyze data in order to make better business decisions and to communicate this information effectively to your audience. Students will learn how to use analytics tools from the lens of a manager, a financial statement user, a tax analyst, an auditor, and a forensic accountant. The course will introduce you to various analytics software products, and provide an opportunity to interact with professionals in the field.
Prerequisites: Junior or Senior Class standing
MKT4506 Marketing Analytics
4 Advanced Management CreditsToday's marketers have access to more data and technology than ever before. To fully realize the benefit of these resources, marketers need to develop data analysis and analytical skills to convert raw data into insights and insights into more informed marketing decision-making. The objective of this course is to introduce the benefits of using a systematic and analytical approach to marketing decision-making. This course integrates marketing concepts with practice, and emphasizes _learning by doing._ Students will learn different ways to explore the relationships and patterns in customer and marketing data. Advanced analytical software will be used to perform many of the most commonly used descriptive and predictive analysis techniques that are applied in the marketing field.
The course builds on the marketing core course(s) through the direct application of marketing concepts such as segmentation, targeting and brand positioning. The course emphasizes the application of marketing analytics to a diverse set of business problems. This includes the use of marketing analytics to identify opportunities to cost-effectively acquire new customers, increase the value and loyalty of existing customers, and to improve the overall experience the customer has with a brand. It also includes the use of analytics to set up marketing experiments, assess the value of different product strategies and measure the ROI of marketing campaigns.
Prerequisites: SME2011 or MKT2000
COM3522 Business Writing
4 Advanced Management Credits
Business Writing is an interdisciplinary writing course designed to improve the business communication competency of undergraduate students. In this course students will gain the tools necessary to produce effective business writing in a variety of multi-modal contexts. Students will read, discuss, and respond to materials that provide historical context for business communication norms and genres and present research-driven strategies for communicating effectively to a variety of audiences. Students will complete practice cases where they will be expected to apply a problem-solving approach to producing audience-driven, goal-oriented business communication genres. These cases will build toward a larger service learning project with an external partner in order to deepen their understanding of business norms and practices.
COM3511 Business Presentations
(Formerly MOB3511 Business Presentations)
2 General CreditsStudents who took this as MOB3511 cannot register for this courseThis is a performance course designed to build upon basic presentation skills and concepts. Focus will be directed toward presentation strategies for informative and persuasive speeches for business settings. Students will present virtual and in-class, high-impact presentations. The course will enforce communication concepts to allow students to become effective critical thinkers as creators and consumers of messages.
Prerequisites: RHT1001 or WRT2000
COM3500 Business Storytelling
4 Advanced Management Credits
This 4-credit course provides students with the opportunity to research and explore areas of business interest by engaging with and re-telling the stories of entrepreneurs. In this course, students will have the opportunity to learn about an area of entrepreneurial interest directly from entrepreneurs through guest lectures, one-on-one interviews, and secondary research. The goal of this course is to immerse students in the stories of entrepreneurs and to provide them with the business communication competence to retell these stories to a wider business audience.
Students will attend guest lectures by entrepreneurial leaders who will discuss their experiences and provide students with material to help them find and craft effective entrepreneurial stories. Students will develop skills in project planning, interview technique, recording and transcribing, and they will explore the ethical and legal considerations of presenting the stories and ideas of others. Students will complete 4-6 blog posts of varying length and topic to a predetermined business audience. Students will complete shorter activities (background subject research, designing interview protocols, peer review, editing exercises, business audience analysis) to support their business blog portfolio. Students will also consider how digital writing environments help writers address multiple audiences.
The course will culminate in the public presentation of their pieces as part of a digital takeover of one of Babson's storytelling channels.
Prerequisites: SME Courses
LAW1000 Business Law & Ethics
(Formerly Business Law)
This course provides students, as future business managers and leaders, with broad exposure to important areas of business law and with an introduction to business ethics. Legal and business considerations often are closely related. Students need a good working knowledge of legal and ethical principles in order to succeed in the business world. Law can be used to create and capture value for business activities as well as to mitigate legal and business risks.
Course goal #1 is to enable students to identify when they face legal issues in their professional lives and understand how to find additional information and/or consult intelligently with an attorney about them. Goal #2 is for students to be able to manage a business and its legal environment effectively. This includes understanding the significance of various legal and ethical issues, knowing how to manage and resolve legal disputes, knowing how to effectively structure businesses and deals, learning how to use the law to their advantage, and perhaps even when and how to try to change existing law. Goal #3 is to consider the limitations of the law and the role of ethical business principles and practices in sound decision making. To these ends, students read and analyze legal and ethics materials, apply precedents to new situations, complete group and individual projects, and practice analyzing, thinking, speaking and writing in a logical manner.
Business Law furthers three out of four overall learning goals of the undergraduate program
Collaboration - group projects such as negotiating contracts or conducting risk analyses and developing recommendations Communication - writing-intensive course involving writing assignments (research papers, contracts, analyses) and extensive Socratic dialogue in class through law case method teaching Problem solving - continual application of precedent to analyze fact situations and identify the application of legal principles to resolve the legal dispute in question, as well as the use of law as a larger policy tool to address wider social issues and problems. This course also has learning objectives specific to law and ethics. By the end of the course, students should be able to:
Understand substantive legal rules as well as procedural rules, institutions, and mechanisms; Appreciate the complex relationship between law and ethics; Identify ethical issues commonly arising in business and personal situations and understand and employ an ethical framework to manage these issues; Evaluate the ongoing role of law as a means of channeling human behavior in an interdependent society; Use law as a tool for understanding and solving business and social problems; and Utilize legal reasoning and understand how to make and defend basic legal arguments by drawing upon a broad range of relevant sources of legal authority.
COM3511 Business Presentations
2 General CreditsIf you took and passed MOB3511, you cannot register for COM3511, as these two courses are equivalent
This is a performance course designed to build upon basic presentation skills and concepts. Focus will be directed toward presentation strategies for informative and persuasive speeches for business settings. Students will present virtual and in-class, high-impact presentations. The course will enforce communication concepts to allow students to become effective critical thinkers as creators and consumers of messages.
Prerequisites: RHT II
MOB3583 Business Environment in Russia
4 General CreditsOffered to students in the BRIC Program
LTA2031 Top Performers: Business in American Drama
4 Intermediate Liberal Arts CreditsEver since Willy Loman walked on stage with his sample cases in Arthur Miller's 1949 masterpiece Death of a Salesman, it has been thought axiomatic that American playwrights have painted a bleak portrait of sales professionals in particular and businesspeople generally. But a close look at American dramatic treatments of business shows something more complicated. Over the past century American playwrights have located in the world of business and the world of drama a shared preoccupation with the sometimes tricky distinctions between word and act, authenticity and performance, the _real_ and the symbolic. This course will look at a selection of American plays from the early twentieth century to the present, focusing on those plays' treatment of business and economic life. In addition to close scrutiny of dramatic texts and theatrical performances, we will also explore the role of performance in business. In other words, we'll look at both business in American drama and drama in American business. Your performance will be assessed through two papers, a mid-term and a final exam.
This course is typically offered in the following semesters: Fall
Prerequisites: (FCI1000 or AHS1000) and (WRT1001or RHT1000)
MKT4530 Digital Analytics
4 Advanced Management Credits
The consumer buying journey continues to evolve, particularly as consumers become more comfortable and experience the benefits of using digital and mobile platforms to support all facets of the buying process. This rapidly expanding digital ecosystem generates an enormous amount of data. This course will explore how organizations can utilize the latest digital analytics techniques to turn structured and unstructured big data, into extremely valuable customer and marketing insights. This course is designed to complement Babson's Marketing Analytics course and covers entirely different topics and materials specifically focused within the digital sphere.
Students will utilize industry-leading digital analytics tools to collect and analyze consumer data to support decision-making and the development of marketing strategies that are informed by the insights. This includes the use of social media analytics platforms to listen to the voice of the customer, monitor consumer sentiment, and perform a comprehensive share of voice competitor analysis. Students will also use a web analytics platform to learn how to track, segment and measure the online and mobile device usage behaviors of customers and visitors. Students will also learn how to construct digital marketing experiments, perform A/B testing, and measure the ROI of digital campaigns. The course design includes official certifications in each of the digital analytics platforms used in the course.
Prerequisites: SME2011 or MKT2000
SEN1314 Equine Business Management
(Senior Instructor: Elizabeth Monteith) Students in Equine Business Management will apply principles of Babson's outstanding business education to the equestrian industry. The business of horses is a diverse and historical trade, ripe for innovation that Babson entrepreneurs can provide. In this seminar, we will study competitive governing organizations (such as the United States Equestrian Federation), stables, racing syndicates, and more. Students will also be introduced to many of the equine-related jobs available to business students. No former equine experience is required, just bring your passion and willingness to learn!
Class 1 - Wednesday, January 27
Class 2 - Wednesday, February 3
Class 3 - Wednesday, February 10
Class 4 - Wednesday, February 17
Class 5 - Wednesday, February 24
Class 6 - Senior Seminar Showcase: Tuesday or Wednesday evening, 3/1 or 3/2. Details to be confirmed by first day of class.
EPS3520 Managing Growing Businesses
4 General CreditsThis course covers the growth phase of an entrepreneurial business, focusing on the nature and challenges of entrepreneurial businesses as they move beyond startup. The primary task for entrepreneurial firms in their growth phase is to build an organization capable of managing this growth, and then ensure the organization can sustain growth as the market and competitive environment changes. The entrepreneur needs to create a professional organization both responsive to external change and entrepreneurial enough to continually create new businesses through innovative thinking.
Issues of particular importance to rapidly growing companies include: getting the right people and systems in place, managing with limited resources, cash flow planning, leadership and delegation, professional zing the business, turning around a troubled business, establishing and communicating culture, and creating a vision to drive the organization toward the future.
Prerequisites: SME and EPS350%
MOB3560 Global Strategic Management
(Formerly International Business Enterprise)
4 General CreditsThis course provides a broadly based introduction to management of international business ventures and the strategies and operations of multinational corporations.
ARB4650 Arab Culture for Business
(Formerly Business Arabic)
4 Advanced Liberal Arts Credits
This course aims to help students acquire cultural intelligence and develop the tools necessary to learn about business culture of the Arab world and be aware of local traditions and sensitivities. It provides an understanding of Arab business etiquette and culture, and discusses related topics such as travel, dress codes, Islam and business, communication and negotiation styles, attitudes, and hierarchy in the workplace. Students survey countries like UAE, Qatar, Saudi Arabia, Bahrain, Lebanon, Morocco, Algeria, and Tunisia â€¦etc. They use diverse forms of authentic and recent media and examine materials from different Arabic newspapers and media sources such as Al-Hayat, Al- Ahram and Al-Jazeera to comprehend practical business issues, cultural values and social etiquette in the Arab world and the Middle East.
The course is taught in English. No prior knowledge of Arabic is needed.
LAW3560 International Law for Business
4 General CreditsThis course explores the basic principles of law as they affect international business. Examines
the basic instruments and institutions of the international legal system and cultural underpinnings
of major world legal traditions, such as the European Union and the World Trade Organization.
Students learn how to structure and execute basic international commercial transactions in
goods, services, and technology, including the impact of import-export issues, contract issues,
and trade issues on business transactions. The course also examines the structure and regulation
of foreign direct investment, including strategic choices for business structures and the impact
of regulation on strategy. Finally, the course examines the ethical dimensions of corporate
conduct in a transnational setting. This course uses materials from many countries and
traditions, and makes extensive use of the World Wide Web.
ECN3645 Business and Economic Policy in Developing Countries
4 Advanced Liberal Arts CreditsThis course discusses the latest research in economics on the two fundamental questions of economic development: 1) why are some countries rich and some poor and what can be done about it, and 2) why are some individuals poor and remain poor for generations, and what can be done to alleviate poverty. In answering these questions, the course introduces students to the economic and political environment in poor countries. Topics include measures of development, economic growth, macroeconomic poverty traps (such as conflict, being landlocked, and low quality of institutions), foreign aid, and microeconomic poverty traps (such as poor nutrition and health, low educational endowments, and incomplete markets). The course introduces empirical strategies in economics to identify causal effect, such as randomized controlled trials, instrumental variable, difference-in-differences and regression discontinuity.
Prerequisites: (SME2031 or ECN2002) and ECN2000
HIS4606 Cultural History of American Business
4 Advanced Liberal Arts CreditsHow have generations of Americans used business to define their ambitions and identities? How has commerce influenced the nation's mythology and ideals? What are the social and personal costs of the U.S.'s veneration of the marketplace? In this advanced-level history course, students will examine how business has shaped American culture and society. Selected subjects for the class include the rise of the corporation, the icons of American business, the power and politics of consumption, ethnic and immigrant entrepreneurship, and the role of the marketplace in the nation's economic and cultural development.
Prerequisites: Any combination of 2 ILA (HSS, LTA, CSP, LVA, CVA)
OIM2000 Digital Technology for Entrepreneurs
(Previously titled Technology and Business Innovation)
4 Intermediate Management Credits
**This course is equivalent to SME2012. Students who took SME2012 cannot take this course.**
This course introduces Babson's business students to foundational digital technology concepts, how this technology is used to capture, manage, and create value from data, and the significant role that technology and data play in new product, service, and process innovation.
Participants in the global workplace are increasingly expected to comfortably work with modern technology tools and data. Business leaders will further be expected to leverage the influx of new business models and opportunities as digital, physical, and biological spheres come together in exciting new ways. Related to these changes will be a continuous and ever expanding deluge of data that needs to be managed, leveraged, and protected by all.
Being tech and data savvy will enable you to build stronger relationships with your customers, partners, and suppliers, and to increase your value in the workplace.
SEN1302 Sports Decisions Through Analytics(Senior Instructor: Ryan Duff) Course Description: With the new prominence of sports analytics (i.e. Moneyball, Numbers Never Lie (ESPN), and Accuscore), sports have become much more than just winning and losing. Statistical analysis can predict whether a team will become a dominant force, as well as a profitable franchise. In this hands-on course we will explore and practice sports analytics through statistical programs and techniques that analyze player and team stats in order to determine the keys to building a cohesive team. We will also learn how team owners are able to make strategic decisions using key statistical analyses. Students do not need advanced math or statistical coursework or knowledge to enroll in this course.
Course Schedule: Fridays: January 31, February 7, February 14, February 21, February 28 and March 7 (Showcase of all Senior-Led Seminars)
OIM3580 Artificial Intelligence in Business
4 Advanced Management Credits
**Students who took this as MIS3580 cannot register for this course**
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.
OIM3600: Computer Science for Business Students
4 advanced liberal arts credits
SUS3601 Unintended Consequences: At the Interface of Business and the Environment
4 Advanced Liberal Arts CreditsThe consequences of business decisions often have impacts far different from those that were initially anticipated. Increasingly business leaders, particularly entrepreneurs, are expected to be able to anticipate the consequences of such decisions on the social and natural environment. "Systems thinking" offers a useful framework for dealing with such complex challenges. Likewise, such consequences demand an interdisciplinary approach to their study. The focus of this course will be on building competency in the use of systems thinking in regard to the interface of business and the environment through in-depth and interdisciplinary, historical and contemporary case studies such as "boom and bust" in the industrial revolution of the United States, declining fisheries, the use of hydraulic fracturing to extract fossil fuels, carbon sequestration, damming of rivers and the growing impact of electrical vehicles. We will also examine efforts to mitigate the impact of business decisions on the environment and the political, economic and policy challenges such efforts present. SUS3601 will use a variety of learning methods throughout the course including historical resources, multi-media immersion, field projects and "flipping the classroom." We hope to help students address such questions as:
- How can business leaders productively consider the long-term implications of their actions for a variety of stakeholders and what is their responsibility for doing so under unpredictable circumstances?
- How can the perspectives of science and social justice inform business leaders' understanding of the long-term implications of their actions?
- What role can/should business leaders play in the remediation of societal and environmental degradation?
Prerequisites: (FME1000 and FME1001) or (MOB1000 and MOB1010) and NST1