MBA7402 Capstone: Corporate Entrepreneurship

6 CreditsThe Corporate Entrepreneurship capstone course has three learning objectives:
-Integrate and apply accumulated learning experiences since the beginning of the Blended Learning MBA program
-Explore creativity, innovation, and entrepreneurship in greater depth-in corporate and in greenfield settings
-Develop a penetrating understanding of the process required to create something of significant value out of almost nothing

Students form teams and develop a business plan based on either a project identified within their companies or a greenfield project.

  • Program: Graduate
  • Division: Other
  • Course Number: MBA7402
  • Number of Credits: 6

MBA7150 Capstone: Simulation Experience

0.5 CreditsIn Mod III One-Year students will engage in a cross-functional business simulation that focuses on strategic and operational decision making. The simulation will test the ability to make decisions, take calculated risks, and effectively work with others in uncertain circumstances. Students will work with a new team of classmates to grow your business during several simulated years in the life of your company.

  • Program: Graduate
  • Division: Other
  • Level: One Year Core (Grad)
  • Course Number: MBA7150
  • Number of Credits: 0.5

MBA7201 Capstone: The CEO

2 CreditsComplementing the Strategy course and integrated with it, the Evening MBA capstone course is focused on the job, perspective, and agenda of the CEO because the CEO is ultimately responsible for a company's strategy and its overall performance. It is also an occasion for students to draw upon the knowledge gained from other core and elective courses taken in the program.

Prerequisites: MOB7200, EPS7200, QTM7200 and MKT7200

  • Program: Graduate
  • Division: Other
  • Course Number: MBA7201
  • Number of Credits: 2

MOB2322 Career Exploration Lab
1 Non-Academic Credit
This course is designed as a companion learning course for students engaged in an internship experience. The goal of the course is to help students enrich their career learning through facilitated analysis and reflection on their work experience. Students will apply key career concepts to their own situations and be challenged to compare and contrast their experience with that of their peers.


NOTE: The format for this course is self-directed over the course of the internship. You are responsible for completing each deliverable on time. Students must have secured an internship prior to registration in the course (internships will not be provided).

Prerequisites: completion of FME

  • Program: Undergraduate
  • Division: Other
  • Level: Free Elective (UGrad)
  • Course Number: MOB2322
  • Number of Credits: 1

NST2030 Case Studies in Biomedical Science
4 Intermediate Liberal Arts Credits
An in-depth study of the process for developing and commercializing biomedical technologies. The course explores understanding the role of translational research as a foundation for diagnostic and therapeutic products. The mechanisms underlying selected biomedical devices will also be described.

Prerequisites: NST10%

  • Program: Undergraduate
  • Division: Mathematics Analytics Science and Technology
  • Level: Intermediate Liberal Arts (UGrad)
  • Course Number: NST2030
  • Number of Credits: 4

QTM2000 Case Studies in Business Analytics
4 Intermediate Liberal Arts Credits
This 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)

  • Program: Undergraduate
  • Division: Mathematics Analytics Science and Technology
  • Level: Intermediate Liberal Arts (UGrad)
  • Course Number: QTM2000
  • Number of Credits: 4

NST2060 Case Studies in Drug Development Systems
4 Intermediate Liberal Arts Credits
Drug development is a dynamic, multidisciplinary industry that encompasses the discovery, scientific, clinical and economic assessment of a new compound's safety, efficacy, potential side effects and requires the collaboration and innovation of scientists, chemists, clinicians, statisticians, lawmakers, business leaders and entrepreneurs. Over the last 30 years, the idealized goal of drug discovery has been to identify a specific chemical substance that is highly specific for a single molecular target and arrests or stems the advancement of disease. Although the goal is highly specific and the process seems linear, there are many contributing, and often unforeseen factors that inform drug design, the drug development pipeline and the eventual success or failure of a given drug candidate. In this course, we will take a systems approach to identify and describe all of the contributing elements of identifying, characterizing and bringing a drug to market, to define the physiological, biological, economic and regulatory systems that characterize the process and to outline the social, economic and environmental considerations of a sustainable and productive model for drug development.

Prerequisites: NST10XX (NST 1)

  • Program: Undergraduate
  • Division: Mathematics Analytics Science and Technology
  • Level: Intermediate Liberal Arts (UGrad)
  • Course Number: NST2060
  • Number of Credits: 4

NST2020 Case Studies in Ecosystems Management
4 Intermediate Liberal Arts Credits
Successful businesses must fully appreciate and understand sustainable management strategies for our vital natural resources. Here we will focus on understanding the ecological principles of natural resource management while exploring new strategies for environmental conservation.

Prerequisites: NST10%

  • Program: Undergraduate
  • Division: Mathematics Analytics Science and Technology
  • Level: Intermediate Liberal Arts (UGrad)
  • Course Number: NST2020
  • Number of Credits: 4

SOC4615 Childhood and Youth
4 Advanced Liberal Arts Credits
This course exercises the sociological imagination in understanding how children are molded by social institutions and interactions, as well as the manner in which children utilize agency to react to, change, and reproduce their own social realities. By examining childhood, students will gain an understanding of how inequalities and opportunities are pervasive shapers of children's realities and adulthood outcomes, from both interpersonal and structural levels. Through in-class discussions and writing assignments, students will explore and critique theories of childhood. Reflecting on the perspectives of children as socialized beings and as social actors, we will analyze the intersecting roles of the family, culture, education, authority, gender, race, social class, and ideology in shaping childhood.

Prerequisites: 3 Intermediate liberal arts courses (CVA, LVA, HSS, CSP, LTA in any combination)

  • Program: Undergraduate
  • Division: History and Society
  • Level: Advanced Liberal Arts 4600 Requirement (UGrad),Advanced Elective (UGrad),Advanced Liberal Arts (UGrad)
  • Course Number: SOC4615
  • Number of Credits: 4

HIS4618 China in Boston
2 Advanced Liberal Arts Credit
Based in Boston, this seminar will investigate the many manifestations of 21st century China
(in China, Hong Kong, Taiwan, and the Chinese diaspora) from a global perspective, including the impact of globalization on China and China's impact on the world. Using the research laboratory of greater Boston, we will connect the classroom with community learning experiences. Members of the seminar will do research in museums, local organizations, and Chinatown, and through guest lectures/discussions with community members such as entrepreneurs, migrants, and government representatives from China and Taipei. Course materials will include site visits, guest lectures, readings and films.

Prerequisites: 3 intermediate liberal arts courses (CVA, LVA, HSS, CSP, LTA in any combination)

  • Program: Undergraduate
  • Division: History and Society
  • Level: Advanced Liberal Arts 4600 Requirement (UGrad),Advanced Elective (UGrad),Advanced Liberal Arts (UGrad)
  • Course Number: HIS4618
  • Number of Credits: 2