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Graduate Programs for Working Professionals

Masters of Engineering in Systems Engineering and Technology Management

Rensselaer Polytechnic Institute’s graduate program in Systems Engineering and Technology Management prepares leaders who can transform systems and processes to achieve organizational objectives. Today’s complex organizations need those who can analyze and lead change in rapidly evolving environments. Rensselaer’s program prepares decision makers who are ready to Change the World.

The program is taught by Rensselaer’s outstanding and highly-ranked engineering and business faculty. The program provides ample opportunity for students to develop projects that have specific relevance for them in their career aspirations. Students in the program are working professionals with a wide variety of background and experience.

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Degree Information

  • The program results in a Master of Engineering in Systems Engineering and Technology Management degree.
  • Completing required coursework and a project with documented cost savings results in a Lean Six Sigma Black Belt certification in addition to the degree.
  • The Program is delivered using online and blended instruction designed to fit into the lives of busy working professionals.
  • In Master’s Project courses, students work with faculty members to design and implement individual applied projects that demonstrate program mastery.

Curriculum

Courses

Credits

ISYE 4240

Engineering Project Management

3

ENGR 6100

Business Issues for Engineers

3

DSES 6620

Discrete Event Simulation

3

ISYE 6610

Systems Modeling in Decision Sciences

3

MGMT 6960

Lean Six Sigma I

3

MGMT 6961

Lean Six Sigma II

3

ISYE 6970

Master’s Project I

3

ISYE 6600

Design of Manufacturing Supply Chains

3

MANE 4550

Analysis of Manufacturing Processes

3

ISYE 6970

Master’s Project II

3

Total Credit Hours

30

Course Coverage:

Engineering Project Management: Planning, controlling, and evaluating engineering projects. Use of network analysis techniques, PERT/CPM, budget control, time/cost tradeoff, time estimation, resource allocation, and resource leveling. Extensions include probabilistic models, multiple resource models, project organization, risk analysis, technical forecasting, and network theory.

Business Issues for Engineers: Investigates business-related considerations in successfully commercializing new technology in a new venture or within an existing enterprise: market and customer analysis, beating the competition, planning and managing for profitability, high-tech marketing and sales, and business partnerships and acquisitions.

Discrete-Event Simulation: A development of a simulation language in order to progress through a series of increasingly sophisticated applications of computer simulation. Projects include: production systems, inventory, finance, transportation, and public systems. The course includes model development, statistical analysis of simulation input/output data, validation planning, and managing simulation projects.

System Modeling in Decision Sciences: Decision science methodologies in the context of technical and economic decision problems. The course develops a conceptual framework for these methods in implementation. The course applies decision science methods to problem recognition and data development through problem formulation and computer solution.

Lean Six Sigma I: Builds the main perspectives of Lean Six Sigma including quality improvements, waste reduction, and best practices that ultimately lead to fewer defects and increased efficiency. Topics covered include the principles, qualitative methods and tools, process improvements, and problem solving techniques for improving existing business processes. The emphasis is on the Define, Measure, Analyze, Improve, and Control (DMAIC) phases of Lean Six Sigma.

Lean Six Sigma II: Comprehensive, state-of-the-art methodologies in design for Six Sigma (DfSS), integrated design, and lean business constructs in business environments - lean methods, total productive maintenance, measurement systems, new product development process, axiomatic design, design for sustainability, virtual product development, failure mode and effects analysis, and integrated risk management.

Design of Manufacturing System Supply Chains: Manufacturing systems and supply chains, lean manufacturing, lead time reduction in manufacturing and service operations, advanced pull systems, concurrent design of products and supply chains, rapid new product introduction, remanufacturing and reverse supply chains, and integration of information technology in supply chain operations. Analysis of models and application to design and planning problems in manufacturing and service systems is emphasized.

Analysis of Manufacturing Processes: Manufacturing engineering including driving forces, quality attributes, tolerances, etc. Examination of basic principles of mechanics, engineering materials, analysis of both bulk-forming (forging, extrusion, rolling, etc.) and sheet-forming processes, metal cutting, and other related manufacturing processes. Discussion and role of computer-aided manufacturing in these areas.

Master’s Project (2): Over the course of two semesters, students define and complete a master’s-level project under the supervision of a faculty adviser, leading to a master’s project report. The final report demonstrates the student’s mastery of the subject matter covered throughout the course of the degree program.

Accelerated Application Process

A dedicated admissions officer will guide you through the process from start to finish as you prepare and submit all of the required application components.
An admissions decision will be made within 2 weeks of application submission.

Accelerated Application Requirements:

Application Component

Completed By Applicant

Requested By Applicant

Online Application

X

Official Transcripts

X

Resume

X

Standardized Test Scores (GRE* or RSI**)

X

X

Two letters of recommendation***

X

Statement of Goals

X

*Graduate Record Examination (GRE): The GRE is recommended for applicants with fewer than 3 years of professional experience. The GRE test is administered by the Educational Testing Service (ETS). A Rensselaer admissions representative can help you find a testing center available in their region.

**Rensselaer Success Indicator (RSI): For those with 3+ years of professional experience, the RSI evaluates non-cognitive skills and personal attributes as demonstrated throughout an individual’s professional career. Applicants request an online evaluation from five individuals familiar with their academic and/or professional performance.

***Recommendation Letters: Individuals who apply using the RSI are not required to submit letters of recommendation.

Informational Webinars

Attend a free webinar with our Graduate Program Director to learn how Mechanical Engineering students benefit from our blended learning approach and application of cutting edge research to the classroom. Instructions on how to apply will be covered and participants will receive a $75 application fee waiver for attending.

Informational Webinar Schedule

Get More Information

Complete Our Inquiry Form: https://apply.rpi.edu/register/APSinquiry
Visit Our Program Website: https://admissions.rpi.edu/graduate/admission/aps.html
For More Information contact Natalie Sutera, sutern@rpi.edu 860-548-2412

Questions?


Updated: 2017-10-18, 10:08