The Systems Science and Industrial Engineering Department offers graduate degrees and certificates to suit a variety of career paths.
The department offers master of science (MS) degrees in industrial and systems engineering (MS ISE), healthcare systems engineering (MS HSE), and systems science (MS SS). Within the MS SS and MS ISE degree programs, students can choose the conventional degree or may opt to pursue a specialized concentration (or track) in either engineering management (MS ISE only), health systems or executive health systems. The executive health systems concentration is a 12-month program option offered in Manhattan, N.Y.
In addition to the master of science programs, the department offers a master of engineering (MEng) degree in two areas of specialization: industrial engineering (MEng IE) and systems engineering (MEng SE).
At the doctoral level, the department offers Doctor of Philosophy (PhD) programs in industrial and systems engineering (PhD ISE) and systems science (PhD SS). Both doctoral programs require a minimum of three academic years of full-time graduate level study after the baccalaureate degree, or their equivalent in part-time study.
Finally, the department offers an Advanced Graduate Certificate in Complex Systems Science and Engineering.
Requirements for admission are different for each degree/certificate program, as each serves students with different backgrounds.
Important information:
- Many of the graduate courses in the SSIE Department are also offered through EngiNet (Watson College Distance Learning Program).
- The PhD program in systems science and the MS programs in systems science (including all available concentrations), industrial and systems engineering (including all available concentrations), and healthcare systems engineering are available fully online in addition to the traditional on-campus offerings.
- Any graduate student who may have taken an undergraduate course that is cross-listed with a graduate course will already have earned the credit for the undergraduate course. Note that the student will not be eligible to earn graduate-level credit for the cross-listed graduate course at a later date and will not be eligible to take the course again at the graduate level.
Applicants
Applications are considered for both spring and fall semesters and are reviewed on a rolling basis.
- Recommended submission dates for fall semester admission: Apply before Feb. 1 for funding consideration or April 1 for regular admission.
- Recommended submission dates for spring semester admission: Apply before Oct. 15 for funding consideration or Nov. 15 for regular admission.
Graduate students who are well qualified may receive assistantships, such as teaching assistantships (TA), research project assistantships (RPA) or graduate assistantships (GA). Funding decisions are decided among the admitted pool of applicants during the spring semester for fall admissions, and as needed for spring admissions.
Applications to degree programs should include:
- Official transcript(s), although unofficial transcripts are acceptable for initial application
- Two letters of recommendation
- A personal statement including mention of interests
- Official Graduate Record Examination (GRE) scores (this requirement may be waived at the discretion of the graduate director)
- International applicants should also include:
- Proof of English proficiency (such as Test of English as a Foreign Language (TOEFL), International English Language Testing System (IELTS) or PTE academic scores)
- Immigration and financial documentation (e.g., the International Student Financial Statement and statement of financial support/bank statement)
The application procedure for the certificate program can be found .
For more information and to apply, visit the Graduate School website.
Master of Science in Systems Science (MS SS)
The Master of Science in Systems Science provides the student with concepts, principles and methods for understanding, modeling, analyzing, optimizing and improving various forms of complex systems. Such systems thinking and problem-solving skills will be an invaluable asset when the student blazes a new trail in any scientific, engineering, business or management profession in today's increasingly complex world. This program is now available fully online.
MS SS Requirements
Students with a baccalaureate degree in any field may apply for admission to this program. The student must maintain at least a B average in all graduate coursework. Plan of study:
- Four required courses:
- SSIE 500 Computational Tools
- SSIE 501 Introduction to Systems Science
- SSIE 505 Applied Probability and Statistics*
- SSIE 520 Modeling and Simulation or SSIE 523 Collective Dynamics of Complex Systems
* or similar course approved by the director of graduate studies
- Students select one of the following three degree completion options:
- Thesis option: Four additional graduate-level courses from the department, at least one of which must be at the 600-level. Oral presentation and defense of the thesis are required (at least six credits of SSIE 599 Thesis)
- Project option: Five additional graduate-level courses from the department, at least one of which must be at the 600-level. Oral presentation and defense of the termination project are required (at least three credits of SSIE 598 MS Termination Project)
- Coursework-only option: Five additional graduate-level courses from the department
and one of the following 600-level courses that include project-based coursework to
serve as a capstone for the termination requirement of the program:
- SSIE 605 Applied Multivariate Data Analysis
- SSIE 612 Advanced Topics in Integrated Manufacturing
- SSIE 613 Advanced Statistical Methods for Business Analytics
- SSIE 615 Advanced Supply Chains
- SSIE 616 Advanced Topics in Applied Soft Computing
- SSIE 617 Fuzzy Sets, Fuzzy Logic, and Fuzzy Systems
- SSIE 621 Advanced Simulation
- SSIE 631 Foundations of Neural Networks
- SSIE 633 Advanced Human Factors
- SSIE 637 Advanced Topics in Health Systems
- SSIE 641 Advanced Topics in Network Science
- SSIE 643 Advanced Engineering Analytics
- SSIE 644 Foundations of Adaptive Optimization
- SSIE 650 Systems Optimization
- SSIE 660 Stochastic Systems
- SSIE 661 Advanced Issues in Quality
- SSIE 664 Advanced Engineering Management
- SSIE 665 Advanced Topics in Energy Systems Optimization
- SSIE 671 Integer Programming
- SSIE 673 Advanced Issues in Processes for Electronics Packaging
Note: Subject to approval of the director of graduate studies, the student may elect to substitute up to two graduate-level courses from a non-SSIE department, including those graduate-level courses the candidate may wish to transfer, pending approval, from another institution.
Health Systems Concentration
This option aims to prepare students for professional or leadership roles in healthcare, including hospital operations management, health systems engineering, health information technology, healthcare analytics, consulting, medical supply chain, insurance, operations within the pharmaceutical industry, organ procurement networks and other not-for-profit health organizations. This MS SS degree concentration is also available fully online.
In addition to the required courses of all students in the MS SS program,
- The student must take an additional required "core" course, i.e., SSIE 537 Industrial and Systems Engineering in Healthcare (note: this reduces the number of electives by one course)
- Students who pursue the coursework-only option must complete SSIE 637 Advanced Topics in Health Systems
- The thesis or project must be healthcare-related, chosen in consultation with the advisor
- The student must take at least one of the approved healthcare-related courses (see
below) in consultation with either the advisor or the director of graduate studies
- SSIE 530 Healthcare Policy Analysis
- SSIE 534 Fundamentals of Health Systems
- SSIE 538 Healthcare Financial Engineering
- SSIE 539 Human Factors Engineering in Healthcare
- SSIE 548 Healthcare Data Science and Analytics
- SSIE 637 Advanced Topics in Health Systems
- NURS 532 Health Care Delivery Systems
- NURS 540 Essentials of Bio-Statistics and Epidemiology
- NURS 615 Information Systems and Technology in Health Care
- NURS 633 Advanced Health Systems and Public Policy
Doctor of Philosophy in Systems Science
The doctoral program in systems science offers a unique, internationally recognized, highly transdisciplinary learning and research experience. Doctoral students can work on a wide variety of research topics, such as: mathematical modeling of systems, computer simulation, agent-based modeling, system dynamics, intelligent control and optimization, soft computing, machine learning, statistical modeling, data analytics, decision making and management, nonlinear dynamics, information theory, game theory, complex networks, computational social science, mathematical biology and artificial life, health systems, sustainability and other transdisciplinary research. This degree program is also available fully online.
Minimum Requirements
- Satisfaction of learning contract (described below), including proficiency in teaching and residency requirements (i.e., coursework)
- Satisfaction of comprehensive qualifying requirement
- Presentation of colloquium on proposed research
- Acceptance of prospectus outlining dissertation research
- Submission of dissertation
- Defense of dissertation at oral examination
Guidance Committee
Upon acceptance into a program, students must form an approved guidance committee. The guidance committee consists of three to five members, normally full-time Watson College faculty; however, students may propose members from other schools at °®¶¹´«Ã½ University, faculty from other universities, or professionals from outside academia. The guidance committee advises the student and evaluates and certifies the student's performance throughout the program of study and research.
Learning Contract
In consultation with the guidance committee, the student prepares a learning contract in which a program of study is specified, including the major area of research, additional course requirements (three to five courses of which should be at the 600 level), teaching requirement, evaluation procedures and the form of the comprehensive examination. Although the learning contract may be modified as the research interests of the student develop, to ensure competence and depth in the major area and breadth in relevant disciplines, each modification must be approved by the guidance committee and properly documented. A copy of the learning contract is placed on file within the department.
Additional information concerning doctoral students can be found on the websites of the Graduate School and the Thomas J. Watson College of Engineering and Applied Science.
Master of Science in Industrial and Systems Engineering (MS ISE)
The Master of Science in Industrial and Systems Engineering provides the balance of theory and practical knowledge for the practice of the profession and/or for advancement to a doctoral program. In recognition of the high concentration of industry in the °®¶¹´«Ã½ area, this program has been structured to serve both full- and part-time graduate students. Taking advantage of this industrial resource allows the program to develop a realistic approach to integrating both engineering and non-engineering systems, such as those found in manufacturing, healthcare, supply chain management and transportation, using a wide variety of industrial and systems engineering tools, such as modeling and simulation, statistical process control, data science and analytics, reliability modeling, scheduling, human factors engineering and ergonomics, optimization, and engineering management, among others. This degree program is also available fully online.
The academic environment of the department may be enriched by the appointment of adjunct faculty members employed in local industry. Under appropriate circumstances, thesis and/or project activity may be carried out in industrial laboratories.
MS ISE Requirements
Applicants who have already earned a BS degree in engineering or a related field are invited to apply for admission to this program. In addition to the requirements listed below, a student whose undergraduate degree is not in engineering may be required to complete some preparatory study, to be defined by the director of graduate studies based on the candidate's background. The preparatory study does not count toward the graduate degree. The student must maintain at least a B average in all graduate coursework. Plan of study:
- Four required courses:
- SSIE 505 Applied Probability and Statistics
- SSIE 510 Enterprise Systems Engineering
- SSIE 520 Modeling and Simulation
- SSIE 553 Operations Research or SSIE 561 Quality Assurance for Engineers
For students with adequate backgrounds, the above required courses may be substituted with electives with consent from the director of graduate studies and/or the department chair.
- Students select one of the following three degree completion options:
- Thesis option: Four additional graduate-level courses from the department, at least one of which must be at the 600-level. Oral presentation and defense of the thesis are required (at least six credits of SSIE 599 Thesis).
- Project option: Five additional graduate-level courses from the department, at least one of which must be at the 600-level. Oral presentation and defense of the termination project are required (at least three credits ofSSIE 598 MS Termination Project).
- Coursework-only option: Five additional graduate-level courses from the department
and one of the following 600-level courses that includes project-based coursework
to serve as a capstone for the termination requirement of the program:
- SSIE 605 Applied Multivariate Data Analysis
- SSIE 612 Advanced Topics in Integrated Manufacturing
- SSIE 613 Advanced Statistical Methods for Data Analytics
- SSIE 615 Advanced Supply Chains
- SSIE 616 Advanced Topics in Applied Soft Computing
- SSIE 617 Fuzzy Sets, Fuzzy Logic, and Fuzzy Systems
- SSIE 621 Advanced Simulation
- SSIE 631 Foundations of Neural Networks
- SSIE 633 Advanced Human Factors
- SSIE 637 Advanced Topics in Health Systems
- SSIE 641 Advanced Topics in Network Science
- SSIE 643 Advanced Engineering Analytics
- SSIE 644 Foundations of Adaptive Optimization
- SSIE 650 Systems Optimization
- SSIE 660 Stochastic Systems
- SSIE 661 Advanced Issues in Quality
- SSIE 664 Advanced Engineering Management
- SSIE 665 Advanced Topics in Energy Systems Optimization
- SSIE 671 Integer Programming
- SSIE 673 Advanced Issues in Processes for Electronics Packaging
Note: Subject to the approval of the director of graduate studies, the student may elect to substitute up to two graduate-level courses from a non-SSIE department, including those graduate-level courses the candidate may wish to transfer, pending approval, from another institution.
Health Systems Concentration
This option aims to prepare students for professional or leadership roles in healthcare, including hospital operations management, health systems engineering, health information technology, consulting, medical supply chain, insurance, operations within the pharmaceutical industry, organ procurement networks and other not-for-profit health organizations. This MS ISE degree concentration is also available fully online.
In addition to the required courses of all students in the MS ISE program,
- The student must take an additional required "core" course, i.e., SSIE 537 Industrial and Systems Engineering in Healthcare (note: this reduces the number of electives by one course);
- Students who pursue the coursework-only option must complete SSIE 637 Advanced Topics in Health Systems;
- The thesis or project must be healthcare-related, chosen in consultation with the advisor, and;
- The student must take at least one of the approved healthcare-related courses (see
below) in consultation with either the advisor or the director of graduate studies.
- SSIE 530 Healthcare Policy Analysis
- SSIE 534 Fundamentals of Health Systems
- SSIE 538 Healthcare Financial Engineering
- SSIE 539 Human Factors Engineering in Healthcare
- SSIE 548 Healthcare Data Science and Analytics
- SSIE 637 Advanced Topics in Health Systems
- NURS 532 Nursing and Community Healthcare Systems
- NURS 540 Essentials of Bio-Statistics and Epidemiology
- NURS 615 Information Systems and Technology in Health Care
- NURS 633 Advanced Health Systems and Public Policy
Engineering Management Concentration
This option aims to prepare students for professional or leadership roles in engineering management in highly technical and complex teams, departments and organizations. Students will master the engineering and management skills needed to excel in their future positions, create new opportunities and grow as respected, competent engineering managers, strategic planners and/or policy makers. Also underlined are topics of advanced engineering leadership attributes, steps to acquire these attributes, and strategies to develop core competencies. This MS ISE degree concentration is also available fully online.
Plan of study:
- Seven required courses
- SSIE 505 Applied Probability and Statistics
- SSIE 510 Enterprise Systems Engineering
- SSIE 515 Operations Management of Supply Chains
- SSIE 520 Modeling and Simulation
- SSIE 522 Advanced Decision Modeling
- SSIE 553 Operations Research
- SSIE 565 Engineering Project Management
For students with adequate backgrounds, the above required courses may be substituted with electives with consent from the director of graduate studies.
Students select one of the following three degree completion options:
- Thesis option: One additional graduate-level course at the 600-level from the department. Oral presentation and defense of an engineering management-related thesis are required (at least six credits of SSIE 599 Thesis).
- Project option: Two additional graduate-level courses from the department, at least one of which must be at the 600-level. Oral presentation and defense of an engineering management-related termination project are required (at least three credits of SSIE 598 MS Termination Project).
- Coursework-only option: Two additional graduate-level courses from the department and SSIE 664 Advanced Engineering Management. SSIE 664 includes project-based coursework to serve as a capstone for the termination requirement of the program.
Master of Science in Healthcare Systems Engineering (MS HSE)
The Master of Science in Healthcare Systems Engineering provides a balance of theory and practical knowledge for the practice of the profession and/or for advancement to a doctoral program. In recognition of the high concentration of healthcare providers in the greater °®¶¹´«Ã½ area, this program has been structured to serve both full- and part-time graduate students. This program prepares individuals for professional or leadership roles in various healthcare areas, including hospital operations management, health systems engineering, health information technology and consulting. Students in this program will attain a wide variety of industrial and systems engineering tools and skill sets, such as modeling and simulation, statistical process control, Lean Six Sigma, data science and analytics, reliability modeling, scheduling, human factors engineering and ergonomics, and optimization, among others. This degree program is also available fully online.
MS HSE Requirements
Applicants that have already earned a BS degree in engineering or a related field are invited to apply for admission to this program. In addition to the requirements listed below, a student whose undergraduate degree is not in engineering may be required to complete some preparatory study, to be defined by the director of graduate studies based on the candidate's background. The preparatory study does not count toward the graduate degree. The student must maintain at least a B average in all graduate coursework. Plan of study:
- Six required courses include nine credits of core ISE courses and nine credits of
core health systems courses:
- SSIE 505 Applied Probability and Statistics
- SSIE 520 Modeling and Simulation
- SSIE 561 Quality Assurance for Engineers
- SSIE 534 Fundamentals of Health Systems
- SSIE 537 Industrial and Systems Engineering in Healthcare
- SSIE 538 Healthcare Financial Engineering
For students with adequate backgrounds, the above required courses may be substituted with electives with consent from the director of graduate studies and/or the department chair.
- Upon completing the core requirements, students will be able to complete their program
with one of the following three options to attain eligibility for degree conferral:
- Thesis option: SSIE 599 Thesis (six credits) and two electives (three credits each, including one at the 600 level)
- Project option: SSIE 598 MS Termination Project (three credits) and three electives (three credits each, including one at the 600 level)
- Coursework option: three electives (three credits each) and SSIE 637 Advanced Topics in Health Systems (three credits). SSIE 637 includes significant project-based coursework to serve as a capstone for the termination requirement of the program.
Doctor of Philosophy in Industrial and Systems Engineering
The doctoral program in industrial and systems engineering offers a wide variety of research topics such as optimization, machine learning, human factors/ergonomics, supply chain management, healthcare systems, enterprise systems, intelligent systems, data science/analytics, and electronics manufacturing processes, particularly in the areas of printed circuit-board production and automated assembly. This degree program is also available fully online.
Minimum Requirements
- Satisfaction of learning contract (described below), including proficiency in teaching and residency requirements (i.e., coursework)
- Satisfaction of comprehensive qualifying requirement
- Presentation of colloquium on proposed research
- Acceptance of prospectus outlining dissertation research
- Submission of dissertation
- Defense of dissertation at oral examination
Guidance Committee
Upon acceptance into a program, students must form an approved guidance committee. The guidance committee consists of three to five members, normally full-time Watson College faculty; however, students may propose members from other schools at °®¶¹´«Ã½ University, faculty from other universities or professionals from outside academia. The guidance committee must be approved by the Graduate School. The guidance committee advises the student and evaluates and certifies the student's performance throughout the program of study and research.
Learning Contract
In consultation with the guidance committee and the director of graduate studies, the student prepares a learning contract in which a program of study is specified, including the major area of research, additional course requirements (three to five courses of which should be at the 600 level), teaching requirement, evaluation procedures and the form of the comprehensive examination. Although the learning contract may be modified as the research interests of the student develop, to ensure competence and depth in the major area and breadth in relevant disciplines, each modification must be approved by the guidance committee and properly documented. A copy of the learning contract is placed on file within the department.
Additional information concerning doctoral students can be found on the websites of the Graduate School and the Thomas J. Watson College of Engineering and Applied Science.
Master of Engineering with Specialization in Industrial Engineering
The master of engineering with specialization in industrial engineering (MEng IE) equips graduates with the skills needed to be effective in industry and provides the balance of theory and practical knowledge for the practice of the profession. Taking advantage of the industrial resources in the °®¶¹´«Ã½ area allows the program to develop a realistic approach to integrating both engineering and non-engineering systems, such as those found in manufacturing, healthcare and transportation, using a wide variety of industrial and systems engineering tools, such as modeling and simulation, statistical process control, scheduling, human factors and supply chain management, among others. The MEng IE program is practice-oriented and culminates in a sequence of two courses that focus on engineering projects.
MEng IE Requirements
Applicants who have already earned a BS in any engineering field or a related field are invited to apply for admission to this program. In addition to the requirements listed below, a student whose undergraduate degree is not in engineering may be required to complete some preparatory study, to be defined by the director of graduate studies as based on the candidate's background. The preparatory study does not count toward the graduate degree. The student must maintain at least a B average in all graduate coursework. Plan of study:
- Four required courses:
- SSIE 505 Applied Probability and Statistics
- SSIE 510 Enterprise Systems Engineering
- SSIE 520 Modeling and Simulation
- SSIE 553 Operations Research or SSIE 561 Quality Assurance for Engineers
For students with adequate backgrounds, the above required courses may be substituted with electives with consent from the director of graduate studies and/or the department chair.
- Five additional graduate-level courses from the department. Subject to the approval of the director of graduate studies, the student may elect to substitute up to two graduate-level courses from a non-SSIE department.
- Master's project - at least three credits (SSIE 598 MS Termination Project).
Master of Engineering with Specialization in Systems Engineering
The master of engineering with specialization in systems engineering (MEng SE) is intended for individuals who are working full-time and attending graduate school part-time. Systems engineering is an interdisciplinary approach and means to enable the realization of successful systems. This degree equips graduates with the skills needed to be effective in industry and provides a balance of theory and practical knowledge for the practice of the profession. Taking advantage of the industrial resources in the °®¶¹´«Ã½ area allows the program to develop a realistic approach to integrating both engineering and non-engineering systems, such as those found in manufacturing, healthcare and transportation, among others, using a wide variety of industrial and systems engineering tools, such as modeling and simulation, statistical process control, scheduling, human factors and supply chain management, and others. The MEng SE program is practice-oriented and culminates in a sequence of two courses that focus on engineering projects.
MEng SE Requirements
Applicants who have already earned a BS in any engineering field or a related field are invited to apply for admission to this program. In addition to the requirements listed below, a student whose undergraduate degree is not in engineering may be required to complete some preparatory study, to be defined by the director of graduate studies as based on the candidate's background. The preparatory study does not count toward the graduate degree. The student must maintain at least a B average in all graduate coursework. Plan of study:
- Four required courses:
- SSIE 505 Applied Probability and Statistics
- SSIE 506 Systems Problem Solving
- SSIE 520 Modeling and Simulation
- SSIE 525 Principles of Systems Engineering
For students with adequate backgrounds, the above required courses may be substituted with electives with consent from the director of graduate studies and/or the department chair.
- Six additional graduate-level courses: three department elective courses and three technical elective courses. One of the aforementioned electives must be a three-credit practicum or internship in concert with the employer and overseen by the director of graduate studies. In addition, a project with a faculty member for three credits is required. The three-credit practicum and the three-credit project sum to six credits of course application to practice.
- Master's project - at least three credits (SSIE 598 MS Termination Project).
Master of Science with Executive Health Systems Concentration (MS EHSC) - Manhattan
This 12-month program is designed to provide working professionals who already have a bachelor's degree an opportunity to gain sufficient knowledge and skills for modeling, analyzing and/or designing healthcare delivery systems and processes. The industrial and systems engineering and systems science disciplines play a significant role in improving the efficiency and effectiveness of healthcare systems. Over the years, they have helped healthcare facilities improve total quality management, scheduling and sequencing in outpatient clinics, and operational control, such as medical record management and patient turnaround time in emergency rooms to name a few. With the ultimate goal being continuous process improvement, the research methodology looks at current workflow, identifies bottlenecks and, finally, proposes solutions and recommendations using a number of tools, such as modeling and simulation, problem-solving, statistical analysis, operations research, human factors engineering and data mining. The executive health systems concentration (under the MS in systems science degree and the MS in industrial and systems engineering degree) is also available fully online.
MS EHSC Program Requirements
Based on the student's educational background and interests, the Systems Science and Industrial Engineering (SSIE) Department will determine if the degree program will be a Master of Science in Systems Science or a Master of Science in Industrial and Systems Engineering, both with executive health systems concentrations.
Master of Science in Systems Science - Executive Health Systems Concentration
Candidates with a bachelor's degree in any field may apply for admission to this program.
Master of Science in Industrial and Systems Engineering - Executive Health Systems Concentration
Candidates with a bachelor's degree in industrial and systems engineering or a related field may apply for admission to this program.
Classes are scheduled on weekends with hours generally every Saturday between 8 a.m. and 5 p.m., with intermittent days off, at a convenient Midtown Manhattan location. During each class, the student experiences lectures, group activities, projects and open discussions with a great deal of class participation. At the onset of the program, there is a required orientation weekend at °®¶¹´«Ã½'s main campus.
The student must maintain at least a B average in all graduate coursework. Plan of study:*
- SSIE 597 Health Systems Orientation
- SSIE 510 Enterprise Systems Engineering
- SSIE 537 Industrial & Systems Engineering in Healthcare
- SSIE 505 Applied Probability & Statistics
- SSIE 520 Modeling and Simulation
- SSIE 501 Introduction to Systems Science
- SSIE 561 Quality Assurance for Engineers
- SSIE 538 Healthcare Financial Engineering
- SSIE 637 Advanced Topics in Health Systems
- SSIE 598 MS Termination Project
* Alternate courses may be applied in select cases with the approval of the program director.
Advanced Graduate Certificate in Complex Systems Science and Engineering (CX Certificate)
The Advanced Graduate Certificate in Complex Systems Science and Engineering (CX Certificate) offers students an opportunity to acquire knowledge and research skills in the emerging field of complex systems science and engineering, which connects several related research areas. Its educational goals are for students to:
- Become familiar with basic concepts and terms developed and used in complex systems science and engineering
- Learn basic literacy of quantitative methods used in complex systems science and engineering (e.g., mathematical modeling, simulation, nonlinear statistics)
- Acquire advanced knowledge and research skills in some areas of complex systems science and engineering that are relevant to their own research
- Develop a broader research interest and intellectual openness/flexibility that go beyond their own areas of expertise
Complex Systems Science and Engineering (CX) Advanced Graduate Certificate Requirements
The CX certificate program is open to graduate students in any major at °®¶¹´«Ã½ University (as an add-on certificate program), as well as non-matriculated students who seek continuing education (as a stand-alone certificate program). Applicants must have a minimum of 3.0 GPA in the discipline at the time of application, regardless of the program (either at °®¶¹´«Ã½ or at the previous/current institution). This advanced graduate certificate program is also available fully online.
Plan of study:
- SSIE 524A/B Graduate Seminar in Complex Systems Science (1 cr. x 2 semesters; students must take it twice as 524A and 524B)
- SSIE 523 Collective Dynamics of Complex Systems (3 cr.) or ECON 696H Agent-Based Policy Modeling (4 cr.)
- Two elective courses: one from Group A and the other from Group B (list of approved elective courses available )
With permission, an independent study may substitute for one of the elective requirements.
Double-Degree Graduate Program in Systems Science and Public Administration
The systems science program offers a double-degree opportunity that allows the student to pursue two master's degrees concurrently:
- Master of Science in Systems Science (MS SS) and Master of Public Administration (MPA)
The Master of Science in Systems Science (MS SS) program is housed in the Thomas J. Watson College of Engineering and Applied Science at °®¶¹´«Ã½ and the Master of Public Administration (MPA) program is housed within the College of Community and Public Affairs at °®¶¹´«Ã½. Both are considered professional degrees. By carefully structuring the sequence of courses and using courses in one program to count as electives in the other, MPA/MS SS double-degree programs will allow students to complete both degrees in two and a half years of full-time study, without compromising the professional standards of either program.
The double-degree program prepares students for administrative positions that focus on understanding, modeling, analyzing, optimizing and improving various forms of complex systems. Topics students learn about in the MS SS program include systems thinking and problem-solving methodologies, while the MPA program provides students with the knowledge and skills necessary for management.
Students interested in pursuing the double-degree program should contact the Systems Science graduate director for additional information.
Double-Degree Graduate Program in Genocide and Mass Atrocity Prevention and Systems Science
The Master of Science in Genocide and Mass Atrocity Prevention (MS in GMAP) is housed within the University-wide Institute for Genocide and Mass Atrocity Prevention at °®¶¹´«Ã½ and the Master of Science in Systems Science (MS in systems science) program is housed in the Thomas J. Watson College of Engineering and Applied Science at °®¶¹´«Ã½. By carefully structuring the sequence of courses and using courses in one program to count as electives in the other, the MS in GMAP/MS in Systems Science dual degree programs will allow students to complete both degrees in three years of full-time study, without compromising the professional standards of either program.
The double degree program will prepare students for positions that focus on understanding, modeling, analyzing, optimizing and improving various forms of complex systems for atrocity prevention. Topics students learn about in the MS in GMAP program include analyzing risk factors, formulating strategies, and implementing policies and practices to reduce the occurrence, severity and potential for recurrence of genocides and other mass atrocities around the world. The MS in systems science provides students with knowledge and skills to enact systems thinking and problem solving methodologies.