Information Systems and E-Business Concentration

Gain a thorough understanding of how technology can be applied to solve problems and exploit business opportunities.

In this concentration, you will explore the application of computerized information systems, including Web technologies, to run a modern technology-based business.

Through e-commerce, the Web has created a revolution in consumer-to-business and business-to-business transactions. Business analysts must be able to identify how technology can be applied to solve problems and how to leverage technology to realize strategic opportunities. You will be exposed to networking and data communications, database management systems, distributed computing and various problem-solving approaches to systems analysis and design.

Career Opportunities

By completing this concentration, you will gain the knowledge and experience to become an e-business entrepreneur or function in a variety of roles. Our graduates find positions as consultants and analysts within large consulting firms, traditional information systems departments and functional units such as marketing, human resources, finance and operations.

Concentration Requirements

The Information Systems and E-Business concentration requires six courses (18 credits) as a primary concentration, MGS 602, MGS 613, MGS 614, MGS 616 and MGS 655 and one elective from course listed under the elective tab.  

View/search courses and descriptions.

Required Courses

MGS 602LEC Global IT Infrastructure Mgmt

This course is designed to provide students with a basic understanding of business data communications. The objective of the course is to provide students with a firm foundation for covering more advanced topics in subsequent courses. The student will develop an understanding of networks including the internet and the development of World Wide Web based applications. The course will also cover the basic principles of network operating systems concepts and the role of network operating systems in developing Web applications. The course includes extensive coverage of business telecommunication including voice and data. Coverage is extended to coding and digitizing, modems, protocols, and network architectures as well as management aspects. Cases on telecommunications and electronic commerce, as well as current readings, will also be part of the pedagogy.

Credits: 3.00
Semesters offered: Fall 2018


Fall 2018 (08/27/2018 - 12/07/2018)

Reg. Num. Section Type Topic Days Time Location Instructor
12320 F1S LEC MW 5 - 6:20 p.m. Capen 262 Joyce, Ian Nicholas

MGS 613LEC Database Mgmt Systems

This course is designed to provide students with a basic understanding of database management systems (DBMS) and the skills needed to design and implement a relational database. Students will be introduced to data modeling concepts, modeling tools, the process of transforming conceptual models into relational database designs, and finally the steps needed to implement those designs. Emphasis is placed on Entity-Relationship diagramming, data normalization, database administration, and data definition, data manipulation and query development using Structured Query Language (SQL). Other topics covered include: object-oriented databases, database security and integrity, web/database integration, application development in a Client/Server environment, distributed databases, data warehousing, data mining and knowledge management via the Internet to support electronic commerce. Readings, lectures, interactive case assignments and a database design project reinforce the role of DBMS in supporting organizational systems, transaction processing and decision support applications.

Credits: 3.00
Semesters offered: Fall 2018


Fall 2018 (08/27/2018 - 12/07/2018)

Reg. Num. Section Type Topic Days Time Location Instructor
12223 F2S LEC MW 12:30 - 1:50 p.m. Frnczk 454 Mulgund, Pavankumar Pralhad
12469 F1S LEC MW 2 - 3:20 p.m. Nsc 228 Mulgund, Pavankumar Pralhad
20717 F3S LEC TR 3:30 - 4:50 p.m. Baldy 108 Mulgund, Pavankumar Pralhad

MGS 614LEC Systems Analysis & Design

This course provides an introduction to the systems development life cycle (SDLC) emphasizing the recent adaptive approaches to SDLC, such as the unified process life cycle and agile methods. The course focuses on the disciplines of business modeling, requirements analysis, and logical design and utilizes the Unified Modeling Language (UML) for analysis, modeling, and design of business-oriented information systems. Information assurance issues of system controls and security are covered with respect to their impact on system requirements and design models.

Credits: 3.00
Semesters offered: Spring 2018


Spring 2018 (01/29/2018 - 05/11/2018)

Reg. Num. Section Type Topic Days Time Location Instructor
16627 S2S LEC F 9 - 11:40 a.m. Talbrt 115 Mulgund, Pavankumar Pralhad
21612 S3S LEC TR 11 a.m. - 12:20 p.m. Jacobs 122 Mulgund, Pavankumar Pralhad
11566 S1S LEC TR 9:30 - 10:50 a.m. Jacobs 122 Mulgund, Pavankumar Pralhad

MGS 616LEC Predictive Analytics

This course teaches the technical and managerial skills needed in developing predictive analytics applications which are used by customer-centric corporations - retail, financial, communication, and marketing groups - to help make decisions involving complex systems. The course concentrates on a set of well-known predictive analytics methods to support business decision making. Topics such as association rule mining, decision trees, neural networks, regression analysis and cluster analysis are covered in great depth. Extensive hands-on experience using software such as SAS Enterprise Miner is provided.

Credits: 3.00
Semesters offered: Fall 2018 | Spring 2018


Fall 2018 (08/27/2018 - 12/07/2018)

Reg. Num. Section Type Topic Days Time Location Instructor
24089 F1S LEC TR 9:30 - 10:50 a.m. Baldy 110 Gaia, Joana

Spring 2018 (01/29/2018 - 05/11/2018)

Reg. Num. Section Type Topic Days Time Location Instructor
11567 S1S LEC TR 12:30 - 1:50 p.m. Jacobs 112 Smith, Sanjukta Das
20884 S3S LEC MW 3:30 - 4:50 p.m. Alfiero 102 Smith, Sanjukta Das
16630 S2S LEC TR 2 - 3:20 p.m. Jacobs 112 Smith, Sanjukta Das

MGS 655LEC Distributed Computing and Big Data Technologies

Large scale computing environments aggregate resources from many autonomous computers to satisfy the information processing needs of modern enterprises. This course introduces techniques for creating functional, usable, high-performance distributed systems. Objectives are twofold: (1) gain a solid understanding of the technical issues, concepts and systems in the rapidly advancing technologies in distributed computing, and (2) acquire substantial knowledge on how to work with big data in distributed environments. The course is organized into two parts: study of DCS technologies, and study of large scale systems. We will discuss communication and networking services, application support services, large scale distributed system design, data management and interoperability of systems including consistency and data replication. Students will learn to use a framework for data intensive distributed applications (Apache Hadoop) and an associated parallel programming model, MapReduce.

Credits: 3.00
Semesters offered: Fall 2018


Fall 2018 (08/27/2018 - 12/07/2018)

Reg. Num. Section Type Topic Days Time Location Instructor
12491 F2S LEC MW 2 - 3:20 p.m. Nsc 222 Dutta, Haimonti
20718 F3S LEC MW 9:30 - 10:50 a.m. Frnczk 454 Dutta, Haimonti
12202 F1S LEC MW 12:30 - 1:50 p.m. Norton 210 Dutta, Haimonti

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Student Organizations

The Management Information Systems Association (MISA) was established for students interested in pursuing a career in MIS. The club sponsors speakers, facility tours and career strategy meetings to provide MIS students with more information about this career path. MISA also co-sponsors professional events with other School of Management clubs.