Graduate Course Descriptions

The following directory lists the graduate courses which the University expects to offer, although the University in no way guarantees that all such courses will be offered in any given academic year, and reserves the right to alter the list if conditions warrant. Click on the links below for a list of courses in that subject area. You may then click “View Classes” to see scheduled classes for individual courses.

5103. Statistics and Spreadsheet Modeling

3.00 credits

Prerequisites: Not open for credit to students who have passed BADM 5180, 5181, or OPIM 5103.

Grading Basis: Graded

Covers classical inference procedures and basic statistical concepts often essential to interpretation of business data. Students will learn to ask probing questions about the specifics of data and statistical techniques, to understand the conditions for drawing reliable inferences, and to assess the validity of statistical evidence. Topics include: discrete and continuous random variables, sampling, confidence intervals and hypothesis testing. Builds students' abilities for effective quantitative business analysis and communication, using a spreadsheet program such as Excel. Spreadsheet modeling uses such as regression, forecasting, simulation and decision models will be covered, in different functional areas including finance, marketing, operations, and management.

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5151. US Capital Markets and Institutions

Zero credits

Prerequisites: Open to MBA students, other with consent.

Grading Basis: Graded

Designed for students who have limited experience and knowledge of US capital markets and business institutions.

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5170. Foundations of Economic Environments

1.50 credits

Prerequisites: Open only to MBA students, others with consent. Not open to students who have passed BLAW 5182.

Grading Basis: Graded

Provides students with applied knowledge of key economic and psychological concepts that ground interactions among individuals and organizations in the global business environment.

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5180. Core Statistics

1.50 credits

Prerequisites: Open only to MBA students, others with consent. Not open to students who have passed BLAW 5182.

Grading Basis: Graded

Covers classical inference procedures and basic statistical concepts often essential to interpretation of business data. Students will learn to ask probing questions about the specifics of data and statistical techniques, to understand the conditions for drawing reliable inferences, and to assess the validity of statistical evidence. Topics include: discrete and continuous random variables, sampling, confidence intervals and hypothesis testing.

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5181. Spreadsheet Modeling for Business Analysis

1.50 credits

Prerequisites: Open only to MBA students, others with consent. Not open to students who have passed BLAW 5182.

Grading Basis: Graded

Builds students' abilities for effective quantitative business analysis and communication, using a spreadsheet program such as Excel. Spreadsheet modeling uses such as regression, forecasting, simulation and decision models will be covered, in different functional areas including finance, marketing, operations, and management.

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5182. Communicating for Impact A

1.50 credits

Prerequisites: Open to MBA students, other with consent.

Grading Basis: Graded

Creating value for an organization depends on the ability to effectively translate expertise into business results. This requires the ability to connect with and communicate with others across the organization, to gather information to identify challenges and opportunities, to frame these in ways that build momentum for change, to work with people across functional and geographic lines to develop solutions, to gain buy-in for those solutions in a form that resonates with stakeholders, and to implement solutions in ways that are sustainable for the people they touch. This course focuses on understanding this consultative process and improving student performance in the integrative skills on which it depends. These skills include oral and written communications, effective collaboration in a variety of environments, adapting communications and implementation approaches to different audiences, and improving the ability to perceive, evaluate, and manage emotions.

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5183. Communicating for Impact B

1.50 credits

Prerequisites: BADM 5182.

Grading Basis: Graded

Continuation of BADM 5182.

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5190. Sustainability in the Global Business Environment

1.50 credits

Prerequisites: Open only to MBA students, others with consent. Not open to students who have passed BLAW 5182.

Grading Basis: Graded

Examines approaches to meeting complementary and competing needs of shareholders, customers, employees and communities through the design and maintenance of global value chains. Students will assess alternative business models and management practices designed to enhance sustainability for an increasingly global array of stakeholders. Specific topics may include social enterprise management, environmental strategy, corporate social responsibility, serving "Base of the Pyramid" markets, socially responsible investing alongside issues relating to social, environmental and economic ecosystems.

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5310. Experiential Learning Collaborative Project

3.00 credits | May be repeated for a total of 6 credits.

Prerequisites: None.

Grading Basis: Graded

Graduate elective focusing on the real-life projects run by the Experiential Learning Collaborative for the client-partners including corporations, startups, government, and non-for-profit organization. It involves scoping a project, conducting industry research, development of the deliverables, writing reports, and presenting solutions to the client-partner executive team. Student teams work in the competitive environment under the guidance of an experienced Project Mentor (academic or industry practitioner). Open to graduate students who pass a personal interview and are accepted to the project.

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5311. Experiential Learning Collaborative Advanced Project

3.00 credits | May be repeated for a total of 6 credits.

Prerequisites: None.

Grading Basis: Graded

Graduate elective focusing on the advanced real-life projects run by the Experiential Learning Collaborative for the client-partners including corporations, startups, government, and non-for-profit organization. It involves scoping a project, conducting industry research, development of the deliverables, writing reports, and presenting solutions to the client-partner executive team. Student teams work in the competitive environment under the guidance of an experienced Project Mentor (academic or industry practitioner). Open to graduate students who pass a personal interview and are accepted to the advanced project.

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5320. Innovation Accelerator I: Evaluation of New Ventures - Business Process

3.00 credits | May be repeated for a total of 6 credits.

Prerequisites: None.

Grading Basis: Graded

This practicum provides students hands on experience working with the founders of a high-tech entrepreneurial venture. Students, working in a team, are empowered to act as the CEO of the start-up venture focusing on developing innovative and implementable strategic solutions to a defined mission-critical problem faced by the venture. Students develop an expert knowledge with respect to the venture's industry, markets, products, competitors, etc. that serve as a foundation for recommending evidence-based transformational solutions. Emphasis is placed on skill acquisition such that students can effectively frame the problem, research it and acquire 360 degree views/voices of the issues.

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5321. Innovation Accelerator II: New Venture Analytics

3.00 credits | May be repeated for a total of 6 credits.

Prerequisites: None.

Grading Basis: Graded

Practicum provides the students with hands on experience working with the founders of a high-tech entrepreneurial venture. Under a faculty mentor, the lab provides the students with hands-on experience collecting both primary and secondary data. Students acquire skills related to identifying targeted survey populations, the development of unambiguous survey questions, as well as best methods for survey implementation. Furthermore, students learn how to analyze the resultant data, combine it with other secondary research, extract relevant, non-duplicative findings, and develop evidence-based conclusions and strategic recommendations/solutions for the client venture.

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5330. SCOPE I: Social Entrepreneurship Processes

3.00 credits | May be repeated for a total of 6 credits.

Prerequisites: None.

Grading Basis: Graded

Practicum provides students with hands on experience in working with social entrepreneurs at work in start-up or existing organizations (private, public or not-for-profit). Experiences may include helping organizations identify social needs, evaluate alternative methods for improving social conditions and develop programs to implement solutions. Meaningful social entrepreneurship can be local in scope, or contribute to the development of cities, regions, nations or even be global in its reach. Under a faculty mentor, students work on projects which will provide the opportunity to make a positive difference by applying their skills and training to address critical social needs.

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5331. SCOPE II: Social Innovation Processes

3.00 credits | May be repeated for a total of 6 credits.

Prerequisites: None.

Grading Basis: Graded

Practicum examines how innovation by organizations can be used to develop responses to social problems. Social innovators employ "entrepreneurial skills," such as finding opportunities, inventing new approaches, securing and focusing resources to meet social needs and managing risk, in the service of creating social value. We see social innovation, defined as innovative, social value creation, occurring within or across nonprofit, governmental, and for profit organizations. Under a faculty mentor, students in this course will work with an organization to help it improve people's lives through the development of innovative programs to meet social needs.

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5350. Fund Management I

3.00 credits

Prerequisites: FNCE 5101. Corequisite: FNCE 5202.

Grading Basis: Graded

First part of a two-part Fund Management course. Develops the objectives and goals, the process, and the procedure for execution for management of funds in conformity with the SMF Prospectus. The purpose is to train students in the art of asset allocation, security selection, portfolio construction, risk management, preparing analysts' reports for trade recommendations, monitoring of positions, and preparing reports for presentation to the Investment Advisory Board.

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5351. Fund Management II

3.00 credits

Prerequisites: FNCE 5101; BADM 5350. Corequisite: FNCE 5202.

Grading Basis: Graded

Second part of a two-part Fund Management course. In addition to all the activities in the first part during fall, this course focuses on portfolio management, performance evaluation, attribution analysis, development of various trading and risk management strategies, and technical analysis. Students prepare the final annual report for presentation to the UConn Foundation.

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5604. Predictive Modeling for Managers

3.00 credits

Prerequisites: BADM 5103, or BADM 5180 and 5181; open only to MBA students, others with consent.

Grading Basis: Graded

Introduces the techniques of predictive modeling in a data-rich business environment from a managers point of view. Covers the process of formulating business objectives, data selection, preparation, and partition to successfully design, build, evaluate and implement predictive models for a variety of practical business applications. Predictive models such as neural networks, decision trees, Bayesian classification, and others will be studied. The course emphasizes the relationship of each step to a company's specific business needs, goals and objectives. The focus on the business goal highlights how the process is both powerful and practical.

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5894. Special Topics

1.00 - 9.00 credits | May be repeated for a total of 12 credits.

Prerequisites: Open only to MBA students, others with consent.

Grading Basis: Graded

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6201. Introduction to Research and Teaching

1.00 credits

Prerequisites: Open only to Ph.D. students in the School of Business.

Grading Basis: Satisfactory/Unsatisfactory

Introduces students to important dimensions of an academic career. The role and importance of research and teaching is stressed with emphasis on philosophy of science, as well as appreciation of research in other business administration areas of concentration. Teaching methods and values in higher education are covered. Guest speakers discuss research in their areas. Practical aids such as how to write a research proposal and how to manage a dissertation are covered.

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