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.

5894. Seminar

1.00 - 6.00 credits | May be repeated for a total of 18 credits.

Prerequisites: None.

Grading Basis: Graded

Introduces many of the most exciting concepts emerging in the field of consumer oriented Internet-working, including high speed access [cable modem, satellites and digital subscriber lines (DSL)] and infrastructure developments such as gigabyte networking with asynchronous transfer mode (ATM). Evaluates the emerging directions in EC that are expected to shape both consumer and business applications in the coming decade. A "macro perspective" is used to examine the technical and managerial aspects of electronic commerce. Focus is on questions such as: What are or will be the key attributes of current and future digital products, payment systems, online retailing, and banking? How are these systems designed and implemented? What are the different mercantile processes and tradeoffs associated with these processes? What impact has global connectivity made on traditional supply-chain(s)?


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Term Class Number Campus Instruction Mode Instructor Section Session Schedule Enrollment Location Grading Basis Notes
Fall 2019 16668 Stamford Hybrid/Blended Tung, Yung-Chin M20 Reg 27/35 Graded
Spring 2020 14170 Hartford In Person B12 Reg 0/65 Graded
Spring 2020 14509 Hartford In Person B14 Reg 0/46 Graded Health analytics is one of the fastest growing areas in the field of analytics. Unlike many traditional analytics positions, health analytics, especially in a clinical or medical research environment, requires the analyst to have knowledge of evidence based practice, research techniques, health data collection devices (EHR/EMR), legislation and regulation of health data, ethical use of health data, and reporting tools. This course will blend all of the aforementioned knowledge areas so that upon completion of the course, the student will be well prepared to blend these new skills with their core analytics skills to succeed in an analytics role in the clinical health or medical research discipline.
Spring 2020 14673 Hartford In Person B15 Reg 0/46 Graded Course Description The Internet has become an imperative portal for companies to reach and interact with consumers. It is important for companies to understand and leverage the data available online to devise optimal competitive strategies and achieve their business objectives. This course introduces the key concepts, techniques, and tools for analyzing web data to derive actionable customer intelligence, develop digital marketing strategies and evaluate their impacts. It covers topics including clickstream tracking, search engine analytics, digital experiments, and social analytics. It combines lecture, cases, class discussion, presentations, and hands-on computer work. Upon completion of this course, students should be able to: ? Understand the key concepts of clickstream tracking and search engine analytics ? Analyze web data to derive actionable custom intelligence ? Understand the key concepts of social analytics ? Design digital experiments to evaluate the impacts of digital marketing strategies ? Conduct social network analysis Components: Lecture PRE-REQUISITES: Three credits. Prerequisite: OPIM 5604 (Predictive Modeling). Open only to MBA and MSBAPM, others with consent.
Spring 2020 14681 Hartford In Person Wanik, David B16 Reg Mo 6:00pm‑9:00pm
0/46 Graded PRE-REQ: OPIM5604 The purpose of this class is to introduce students to topics related to deep learning and will build on your previous experience in predictive analytics. Students will learn how to use neural networks for a host of data and applications ? including time series data, text data, geospatial data, and image data.
Spring 2020 14722 Hartford In Person B17 Reg 0/25 Graded OPIM 5894, Global Technology Management course will cover aspects of project management and data analytics in multi-national environments. Topics will include the challenges of project management in multi-cultural organizations, data quality in emerging markets, as well as regulations such as Right to be Forgotten and General Data Protection Regulation (GDPR) in today?s market. Up to 25 students will have the opportunity to travel and experience such topics first hand with our international corporate partners in Munich. The trip will include site visits to companies and cultural centers. Required course participation: Pre-trip required courses: Tuesdays (2/19, 3/5 and 3/12) from 6-9pm at the GBLC, Hartford, CT. Required International Trip: Friday, 3/15?Saturday, 3/23 to Munich, Germany. Post-trip required courses: Tuesday (4/2 and 4/9) from 6-9pm at the GBLC, Hartford, CT
Spring 2020 14968 Stamford Hybrid/Blended M20 Reg 0/0 Graded 1/31/2019 and 3/7/2019 from 5-6:30. These classes will be held in both Hartford GBLC and Stamford. Rooms TBD
Spring 2020 15155 Stamford In Person MS40 Reg 0/44 Graded PRE-REQ: OPIM5604 The purpose of this class is to introduce students to topics related to deep learning and will build on your previous experience in predictive analytics. Students will learn how to use neural networks for a host of data and applications ? including time series data, text data, geospatial data, and image data.