Curriculum

The management science and systems discipline in the Management PhD program prepares students to become leading researchers and teachers at top universities or executive-level decision makers in industry. Each student follows a slightly different path, depending on research interests, allowing some flexibility to the curriculum. 

  • Prerequisites

    You 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 PhD program.

Discipline Requirements

Management Science Track Management Systems Track

ECON 613** Introduction to Econometrics

ECON 614** Econometric Applications and Methods

IE 576** Applied Stochastic Processes

MGQ 614 Advanced Probability and Statistics or IE575

MGQ 616 Stochastic Models of Management Science or IE 572

MGS 785SEM Behavioral Information Science

Credits: 3.00
Semesters offered:


MGS 786 Design Science

MGS 787SEM Sem in Information Assurance

Credits: 3.00
Semesters offered: Fall 2020


Fall 2020 (08/31/2020 - 12/11/2020)

Reg. Num. Section Type Topic Days Time Location Instructor
23585 F1S SEM W Noon - 2:50 p.m. Arr Arr Ramesh, Ramaswamy

MGS 788SEM Globally Distributed Work

Credits: 3.00
Semesters offered: Spring 2021


Spring 2021 (02/01/2021 - 05/07/2021)

Reg. Num. Section Type Topic Days Time Location Instructor
22433 S1S SEM M 7 - 10 p.m. Remote Sharman, Raj

MGQ 797TUT Management Science Research

Credits: variable
Semesters offered: Fall 2020 | Spring 2021


Fall 2020 (08/31/2020 - 12/11/2020)

Reg. Num. Section Type Topic Days Time Location Instructor
11981 F4Q TUT ARR Arr Arr Unknown
11994 F2Q TUT ARR Arr Arr Unknown
12064 F1Q TUT ARR Arr Arr Unknown
11910 F3Q TUT ARR Arr Arr Unknown

Spring 2021 (02/01/2021 - 05/07/2021)

Reg. Num. Section Type Topic Days Time Location Instructor
11078 S4Q TUT ARR Arr Arr Unknown
11262 S1Q TUT ARR Arr Arr Unknown
11161 S3Q TUT ARR Arr Arr Unknown
11226 S2Q TUT ARR Arr Arr Unknown

(Fall: must register for two consecutive years)

MGS 797TUT Management Systems Research

Credits: variable
Semesters offered: Fall 2020 | Spring 2021


Fall 2020 (08/31/2020 - 12/11/2020)

Reg. Num. Section Type Topic Days Time Location Instructor
11852 F5S TUT ARR Arr Arr Ramesh, Ramaswamy
11932 F7S TUT ARR Arr Arr Smith, Sanjukta Das
12055 F4S TUT ARR Arr Arr Sharman, Raj
11873 F6S TUT ARR Arr Arr Unknown
11996 F3S TUT ARR Arr Arr Unknown
11908 F2S TUT ARR Arr Arr Unknown
12050 F1S TUT ARR Arr Arr Sanders, George L.

Spring 2021 (02/01/2021 - 05/07/2021)

Reg. Num. Section Type Topic Days Time Location Instructor
11230 S2S TUT ARR Arr Arr Smith, Sanjukta Das
11116 S6S TUT ARR Arr Arr Sharman, Raj
11099 S5S TUT ARR Arr Arr Ramesh, Ramaswamy
11162 S3S TUT ARR Arr Arr Unknown
11126 S8S TUT ARR Arr Arr Unknown
11120 S7S TUT ARR Arr Arr Sanders, George L.
11268 S1S TUT ARR Arr Arr Suresh, Nallan Chakravarthy

(Spring: must register for two consecutive years)

Plus four of the following:

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 2020 | Spring 2021


Fall 2020 (08/31/2020 - 12/11/2020)

Reg. Num. Section Type Topic Days Time Location Instructor
21333 F1S LEC TR 9:35 - 10:50 a.m. Nsc 201 Smith, Sanjukta Das

Spring 2021 (02/01/2021 - 05/07/2021)

Reg. Num. Section Type Topic Days Time Location Instructor
18623 S3S LEC W 11:30 a.m. - 12:50 p.m. Nsc 201 Smith, Sanjukta Das
24297 S3SA LEC W 11:30 a.m. - 12:50 p.m. Remote Smith, Sanjukta Das

IE 573 Discrete Optimization

IE 575 Stochastic Methods

IE 551 Simulation and Stochastic Models

IE 675 Game Theory

MGS 650LEC Information Assurance

This is an interdisciplinary course in Information Assurance that has two primary objectives: 1) to introduce students to fundamental concepts, terminologies, IA models and practices. 2) to view how different fields of disciplines interact in this area. The course will familiarize students with the technical, legal, socio-political, and managerial issues of IA. Broadly, the issues that we will cover in this course include: security investigation and analysis; ethical, legal, and professional aspects of Information assurance; risk management and implementation and maintenance of information assurance.

Credits: 3.00
Semesters offered: Fall 2020
Pre-Requisite: MGS 602.


Fall 2020 (08/31/2020 - 12/11/2020)

Reg. Num. Section Type Topic Days Time Location Instructor
18314 F2S LEC TR 5:30 - 6:45 p.m. Talbrt 107 Cleary, Kevin Patrick

MGS 659LEC Web Analytics and Optimization Techniques for eCommerce

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: 3.00
Semesters offered: Spring 2021


Spring 2021 (02/01/2021 - 05/07/2021)

Reg. Num. Section Type Topic Days Time Location Instructor
11275 S1S LEC R 7:05 - 9:45 p.m. Knox 109 Miles, Stephen

** Courses satisfying statistics and methodology requirements.

Contact Us

Management Science and Systems Department
School of Management
University at Buffalo
325 Jacobs Management Center
Buffalo, NY 14260-4000

Tel:  716-645-3245
Fax: 716-645-6117

To speak with a faculty member directly, contact Haimonti Dutta, assistant professor and PhD program faculty advisor, management science and systems.

Sleiman Cybersecurity Lab

Located in Jacobs Management Center, this state-of-the-art facility:

  • Features a general security lab, networking lab and digital forensics lab
  • Supports 30 hands-on labs for students with an emphasis on cybersecurity
  • Offers dedicated computing resources for simulation, data analysis and data collection projects

External Areas of Focus for Management Students

  • Cognitive Science
  • Computer Science
  • Industrial Engineering
  • Operations Management and Strategy
  • Organization and Human Resources
  • Statistics

External Areas of Focus for Non-Management Students

If you are a doctoral student outside of the School of Management who is interested in obtaining an external area of focus in Management Science and Systems, you should consult with your academic advisor. Course requirements are:

Additional PhD Program Requirements