The Management Science and Systems major has two tracks. The Management Science track covers the areas of mathematical programming, multi-criteria decision-making, design science, behavioral science, statistical methodology and application, and decision support systems. The track emphasizes the use of mathematical, statistical and economic techniques to model complex management and management-related problems.
The Management Systems track covers the areas of management information systems, design science, behavioral science, decision support systems, information assurance, e-commerce and global information technology management. The concentration emphasizes the use of systems analysis techniques, quantitative techniques, simulation, model and theory building, statistical analysis, and other analytic methods in the structuring and resolution of management problems related to the development, use, and impacts of information technology and information systems in organizational, individual and societal domains.
The tracks have the following concentrations:
A. Management Science Track
1. Mathematical Programming and Decision Making
2. Statistical Methods and Applications (including Forecasting)
B. Management Systems Track
1. Information Assurance
2. Management Information Systems
3. Global IT Management
Student must develop or have competence in accounting, economics, finance, marketing, organizational behavior/organizational theory and strategic management equivalent to one first-year MBA course in each area before graduating from the Ph.D. Program.
ECON 613 Introduction to Econometrics**
STAT 503 Regression and Design of Experiments (or ECON 614) **
Students will learn contemporary terms, philosophies, technologies, controls and strategies that go into buttressing an organization¿s informational, data-driven, well-being. Students will gain experience assess the growing number of cyber risks to our organizational assets, and how to treat these risks by prioritizing and arraying resources. Common information security controls (both technical and programmatic) will be covered, guided by an analysis of the leading information and cyber security control frameworks such as ISO 27000, NIST CSF, and the CIS top 18 security controls. Students will learn about strategic level security program implementation including, policy management, governance, return on investment and compliance whilst continually improving risk exposure. Cybersecurity is one part of the cross-functional milieu that this class will examine. Multidisciplinary topics that intersect with security program implementation will include Technical, Managerial, Executive, Finance, Human Resources, Business Continuity, Strategic IT Management, Legal, Psychological, Audit, Compliance and Control partnerships. Various IT hosting strategies including on-premises and cloud classifications will be examined for their security merits, challenges and risk exposures. Emerging impactful topics such as new/changing regulation and growth of generative artificial intelligence will be examined in terms of their implications on the information security industry and the deployment of future-proof protections.
Credits: 3
Semesters offered:
Pre-Requisite: MGS 602 and MGS 605 or MIS student
The main objective of this course is to introduce students to the theory and practice of doing business via the Internet. Topics include: elements of the infrastructure of electronic commerce; technologies and applications in electronic commerce; using electronic commerce for the creation of competitive advantages; planning technology-based strategies to achieve business goals. The course will rely heavily on research and peer learning with the instructor serving as catalyst, facilitator, and evaluator in a collaborative environment.
Credits: 3
Semesters offered: Spring 2024
Spring 2024 (01/24/2024 - 05/07/2024)
| Reg. Num. | Section | Type | Topic | Days | Time | Location | Instructor |
| 21763 | S2S | LEC | MW | 3:30 - 4:50 p.m. | Alfier 102 | Lindsey, Charles Daniel | |
| 11139 | S1S | LEC | R | 6:30 - 9:10 p.m. | Alfier 104 | Miles, Stephen |
This seminar is a doctoral seminar for doctoral students majoring or minoring in the information systems area.
Credits: 3
Semesters offered:
MGS 786 Design Science
Doctoral seminar in the field of information assurance.
Credits: 3
Semesters offered:
Credits: variable
Semesters offered:
(Fall: must register for two consecutive years)
One objective of the seminar is to acquaint participants with the research approaches and procedures used in management systems and to encourage them to formulate research proposals suitable for dissertation purposes. The course also addresses fundamental concepts about the role, use, construction and evaluation of theories and theoretical models.
Credits: variable
Semesters offered: Fall 2024 | Spring 2024
Fall 2024 (08/26/2024 - 12/09/2024)
| Reg. Num. | Section | Type | Topic | Days | Time | Location | Instructor |
| 11436 | F4S | TUT | ARR | Arr Arr | Sharman, Raj | ||
| 11321 | F5S | TUT | ARR | Arr Arr | Ramesh, Ramaswamy | ||
| 11349 | F2S | TUT | ARR | Arr Arr | Tang, Shaojie | ||
| 11404 | F3S | TUT | ARR | Arr Arr | Unknown | ||
| 11433 | F1S | TUT | F | 9 - 11:50 a.m. | Jacobs 325B | Sanders, George L. | |
| 11362 | F7S | TUT | ARR | Arr Arr | Smith, Sanjukta Das | ||
| 11334 | F6S | TUT | ARR | Arr Arr | Unknown |
Spring 2024 (01/24/2024 - 05/07/2024)
| Reg. Num. | Section | Type | Topic | Days | Time | Location | Instructor |
| 11042 | S3S | TUT | ARR | Arr Arr | Ramesh, Ramaswamy | ||
| 11134 | S1S | TUT | ARR | Arr Arr | Suresh, Nallan Chakravarthy | ||
| 11111 | S2S | TUT | ARR | Arr Arr | Smith, Sanjukta Das | ||
| 11053 | S4S | TUT | ARR | Arr Arr | Sharman, Raj |
(Spring: must register for two consecutive years)
** Courses satisfying statistics and methodology requirements. Permission of the PhD advisor is required for substitutions. Possible substitutions: MGO 615 and MGO 616 - Econometric Methods and Managerial Applications I and II.
This course provides an overview of the growing phenomenon of IT-enabled globally-distributed services (GDS), what has come to be commonly known as IT and business process outsourcing. The course will cover the various phases of the GDS life cycle and discuss how companies can use the GDS paradigm to innovate their various services and processes. Topics to be covered include GDS strategy planning, process distribution analysis, global collaboration and virtual teamwork, knowledge and risk management in GDS, vendor capabilities evaluation, management of contracts and service level agreements, and governance and relationship management with GDS partners. It is also planned to have some virtual collaboration and team work with students in other foreign universities to give a hands-on feel to our students about the issues and dynamics of global collaboration.
Credits: 3
Semesters offered:
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
Semesters offered: Fall 2024 | Summer 2024
Fall 2024 (08/26/2024 - 12/09/2024)
| Reg. Num. | Section | Type | Topic | Days | Time | Location | Instructor |
| 11348 | F2S | LEC | M | 6:30 - 9:10 p.m. | Alfier 102 | Yoon, Junho | |
| 21716 | AAO1 | LEC | ASYN | Remote | Falahati, Arman | ||
| 15806 | F3S | LEC | MW | 3:30 - 4:50 p.m. | Talbrt 107 | Falahati, Arman | |
| 19769 | F4S | LEC | MW | 2 - 3:20 p.m. | Jacobs 106 | Falahati, Arman |
Summer 2024 (07/09/2024 - 08/16/2024)
| Reg. Num. | Section | Type | Topic | Days | Time | Location | Instructor |
| 12561 | M2S | LEC | MW | 6 - 9:10 p.m. | Alfier 102 | Keaton, Christopher C | |
| 12563 | M4S | LEC | TR | 6 - 9:10 p.m. | Jacobs 110 | Torgerson, David Jeffrey | |
| 12560 | M1S | LEC | TR | 6 - 9:10 p.m. | Alfier 102 | Keaton, Christopher C | |
| 12562 | M3S | LEC | MW | 1 - 4:10 p.m. | Jacobs 110 | Gujral, Jasmeet Singh | |
| 12564 | M5S | LEC | TR | 5 - 8:10 p.m. | Alfier 104 | Reid, Fiona Markie |
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
Semesters offered: Spring 2024 | Summer 2024
Spring 2024 (01/24/2024 - 05/07/2024)
| Reg. Num. | Section | Type | Topic | Days | Time | Location | Instructor |
| 23584 | S1S | LEC | W | 6:30 - 9:10 p.m. | Capen 262 | Kumar, Sunildev |
Summer 2024 (07/09/2024 - 08/16/2024)
| Reg. Num. | Section | Type | Topic | Days | Time | Location | Instructor |
| 12558 | M2S | LEC | TR | 2 - 5:10 p.m. | Alfier 102 | Border, Charles B | |
| 12557 | M1S | LEC | TR | 10 a.m. - 1:10 p.m. | Alfier 102 | Border, Charles B | |
| 12559 | M3S | LEC | MW | 6 - 9:10 p.m. | Alfier 104 | Yoon, Junho |
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
Semesters offered: Fall 2024 | Spring 2024
Fall 2024 (08/26/2024 - 12/09/2024)
| Reg. Num. | Section | Type | Topic | Days | Time | Location | Instructor |
| 19771 | F2S | LEC | TR | 8 - 9:20 a.m. | Jacobs 110 | Gaia, Joana | |
| 17091 | F1S | LEC | TR | 2 - 3:20 p.m. | Jacobs 110 | Gaia, Joana |
Spring 2024 (01/24/2024 - 05/07/2024)
| Reg. Num. | Section | Type | Topic | Days | Time | Location | Instructor |
| 21976 | S4S | LEC | MW | 11 a.m. - 12:20 p.m. | Jacobs 122 | Sellitto, Dominic Michael | |
| 20399 | S3S | LEC | TR | 11 a.m. - 12:20 p.m. | Frnczk 422 | Gaia, Joana | |
| 22886 | ABO1 | LEC | UNKWN | Remote | Hunt, Kyle Jeffrey | ||
| 16408 | S1S | LEC | MW | 11 a.m. - 12:20 p.m. | Alfier 102 | Kraude, Richard Leland | |
| 19513 | S2S | LEC | MW | 12:30 - 1:50 p.m. | Alfier 102 | Kraude, Richard Leland |
Students will learn contemporary terms, philosophies, technologies, controls and strategies that go into buttressing an organization¿s informational, data-driven, well-being. Students will gain experience assess the growing number of cyber risks to our organizational assets, and how to treat these risks by prioritizing and arraying resources. Common information security controls (both technical and programmatic) will be covered, guided by an analysis of the leading information and cyber security control frameworks such as ISO 27000, NIST CSF, and the CIS top 18 security controls. Students will learn about strategic level security program implementation including, policy management, governance, return on investment and compliance whilst continually improving risk exposure. Cybersecurity is one part of the cross-functional milieu that this class will examine. Multidisciplinary topics that intersect with security program implementation will include Technical, Managerial, Executive, Finance, Human Resources, Business Continuity, Strategic IT Management, Legal, Psychological, Audit, Compliance and Control partnerships. Various IT hosting strategies including on-premises and cloud classifications will be examined for their security merits, challenges and risk exposures. Emerging impactful topics such as new/changing regulation and growth of generative artificial intelligence will be examined in terms of their implications on the information security industry and the deployment of future-proof protections.
Credits: 3
Semesters offered:
Pre-Requisite: MGS 602 and MGS 605 or MIS student
The ability for one device to communicate with another is a defining hallmark of the information age. As trends in the information sciences evolve to include elements of cloud computing, containerization and hybrid approaches, so too must our definition of what a network is. This class will take an in-depth look at contemporary network concepts ranging from TCP / OSI models, topological considerations for physical networks, virtualization, software defined networking principals (infrastructure as code), and cloud service deployments (infrastructure as a service). Physical network elements, hardware and design architectures will be surveyed. Private, public, virtual and hybrid network considerations will be discussed. Security touchpoints and common controls within networked ecosystems will be analyzed. Students will walk away from this class with conversancy in the burgeoning network trends found in today¿s and future deployment paradigms.
Credits: 3
Semesters offered:
Pre-Requisite: MGS 602 Or MGS 607 Or MGS 650.
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
Semesters offered: Fall 2024
Fall 2024 (08/26/2024 - 12/09/2024)
| Reg. Num. | Section | Type | Topic | Days | Time | Location | Instructor |
| 23826 | F1S | LEC | MW | 5 - 6:20 p.m. | Jacobs 112 | Dutta, Haimonti |
The main objective of this course is to introduce students to the theory and practice of doing business via the Internet. Topics include: elements of the infrastructure of electronic commerce; technologies and applications in electronic commerce; using electronic commerce for the creation of competitive advantages; planning technology-based strategies to achieve business goals. The course will rely heavily on research and peer learning with the instructor serving as catalyst, facilitator, and evaluator in a collaborative environment.
Credits: 3
Semesters offered: Spring 2024
Spring 2024 (01/24/2024 - 05/07/2024)
| Reg. Num. | Section | Type | Topic | Days | Time | Location | Instructor |
| 21763 | S2S | LEC | MW | 3:30 - 4:50 p.m. | Alfier 102 | Lindsey, Charles Daniel | |
| 11139 | S1S | LEC | R | 6:30 - 9:10 p.m. | Alfier 104 | Miles, Stephen |
GEO 531 International Business and World Trade**
ECO 721 Industrial Organization II
** Courses satisfying statistics and methodology requirements. Permission of the PhD advisor is required for substitutions. Possible substitutions: MGO 615 and MGO 616 - Econometric Methods and Managerial Applications I and II
Notes: