Course list

In order to optimize your system, you first need to define it. In this course, you will learn how to use a tool called the Context Diagram to map the responsibilities and elements of your system and how those elements interact with each other. Then you will define the functionality of your system. By using case analysis, you will study the different scenarios that your system may need to accomplish in order to meet your project goals. You will learn not only how to define and analyze your system, but also how to visualize and communicate this information with stakeholders.
  • May 27, 2026
  • Aug 5, 2026
  • Oct 14, 2026
  • Dec 23, 2026
  • Mar 3, 2027
  • May 12, 2027
This course guides you through the process of deciding how your system should interact with all the elements in the context you identified. You will articulate what your system needs to do to successfully complete its use case using a tool called the Use Case Behavioral Diagram (UCBD). With the UCBD you will derive professional, functional requirements that describe what any valid solution must do throughout its use cases. Then you will develop the UCBD in a way that will meet your customers' needs, but not so prescriptive that it prevents your team from using all of your talent in service of making your project a success.
  • Jun 10, 2026
  • Aug 19, 2026
  • Oct 28, 2026
  • Jan 6, 2027
  • Mar 17, 2027
  • May 26, 2027
In this course, you will bring together disparate system functions that have been described in isolation to show how they all might operate together. You will explore what different kinds of interactions might occur in a way that brings your whole team together to create a cohesive solution that truly meets the challenge's needs. Then you will interpret a flexible tool called the Functional Flow Block Diagram that will add value throughout your design-build-test process.
  • Apr 15, 2026
  • Jun 24, 2026
  • Sep 2, 2026
  • Nov 11, 2026
  • Jan 20, 2027
  • Mar 31, 2027
  • Jun 9, 2027

Decision matrices are one of the most commonly used engineering tools. They are used to help rationalize why one option should be chosen over another, and you can find some form of them in just about every business, industry, and government. Decision matrices may not always be identified as such but can be used as part of a trade study, competitive analysis, or options review. As prevalent as these matrices are, they are also one of the most misused tools out there.

In this course, you begin by developing performance metrics. These performance metrics will allow you to objectively determine the value of any potential solution to a challenge. You will then develop a decision matrix around these metrics by applying justifiable weights and tuning the metrics to account for the needs and priorities of specific customers. By learning how to create a superior decision matrix with these well-defined performance metrics, you can achieve tremendous influence on a project even if you do not have official authority.

  • Apr 29, 2026
  • Jul 8, 2026
  • Sep 16, 2026
  • Nov 25, 2026
  • Feb 3, 2027
  • Apr 14, 2027
  • Jun 23, 2027

The quality function deployment (QFD) is one of the most effective methods for relating performance metrics that a customer cares about to technical criteria and engineering parameters and ultimately, the design targets a team needs to build their solution. You will learn that the QFD expresses this relationship in a way that allows you to compare your concepts to your competitors' and to understand the trade-offs between engineering parameters and their influence on performance criteria. This equips you to argue effectively that your design targets will lead your team to a winning solution.

In this course, you will go through a detailed, step-by-step process to build a QFD for your own project. You will examine the interrelationship between different engineering characteristics. You will use all this information, along with factors such as cost and technical difficulty, to establish strong design targets and get an estimate of your final system's performance.

You are required to have completed the following course or have equivalent experience before taking this course:

  • Assessing Your System's Performance and Value
  • May 13, 2026
  • Jul 22, 2026
  • Sep 30, 2026
  • Dec 9, 2026
  • Feb 17, 2027
  • Apr 28, 2027

Interfaces are one of the most important parts of design and design implementation. However, they are often one of the most challenging aspects to identify and manage, and one of the most common points of failure of any system. As a result, there has been a multitude of software developed to aid in managing this process. However, without a strong understanding of the interfaces and how the subsystem teams work together, the use of the software packages is futile. They are only as good as the information put into them.

In this course, you will explore a number of different tools including sequence diagrams and interface matrices to help tease out and formalize your interfaces and interface specifications. This formalization step will help your team to discuss the impact and the dependencies of these interfaces. You will then produce the details and record them as interface specifications so that your team can design and create a well-integrated credible system.

  • May 27, 2026
  • Aug 5, 2026
  • Oct 14, 2026
  • Dec 23, 2026
  • Mar 3, 2027
  • May 12, 2027

Everyone worries about risk. How do we identify risks? Is this issue more risky than another? Or even worse, "Sorry, but this project sounds too risky. We can't approve it." Wouldn't it be better if you could show an objective understanding of risks, how to plan to address them, and be able to justify the decisions behind those plans?

In this course, you will learn how to assess risk with failure modes and effect analysis. You will evaluate different losses of functionality that your system could experience, and determine the possible effects and related causes. You will then develop objective ways of measuring the severity and likelihood of each of these causes, ultimately to develop a quantifiable measure of system risk. You will produce this analysis in a way that not only allows you to make decisions on how to handle these risks, but also justify your actions to others. This course equips you to recognize risk and reduce it.

  • Jun 10, 2026
  • Aug 19, 2026
  • Oct 28, 2026
  • Jan 6, 2027
  • Mar 17, 2027
  • May 26, 2027

eCornell Online Workshops are live, interactive 3-hour learning experiences led by Cornell faculty experts. These premium short-format sessions focus on AI topics and are designed for busy professionals who want to gain immediately applicable skills and strategic perspectives. Workshops include faculty presentations, breakout discussions, and guided hands-on practice.

The AI Workshops All-Access Pass provides you with unlimited participation for 6 months from your date of purchase. Whether you choose to attend one workshop per month, or several per week, the All-Access Pass will allow you to customize your AI journey and stay on top of the latest AI trends.

Workshops cover a range of cutting-edge AI topics applicable across industries, hosted by Cornell faculty at the forefront of their fields. Whether you are just getting started with AI, seeking to build your AI skillset, or exploring advanced applications of AI, Workshops will provide you with an action-oriented learning experience for immediate application in your career. Sample Workshops include:

  • Work Smarter with AI Agents: Individual and Team Effectiveness
  • Leading AI Transformation: Bigger Than You Imagine, Harder Than You Expect
  • Using AI at Work: Practical Choices and Better Results
  • Search & Discoverability in the Era of AI
  • Don't Just Prompt AI - Govern it
  • AI-Powered Product Manager
  • Leverage AI and Human Connection to Lead through Uncertainty

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How It Works

Managing engineers is tough, but leading them is even tougher. As an electrical engineer with management aspirations, I wanted to become a true leader who could build and maintain strong relationships with my department. A year after completing this engineering program, I was promoted to Engineering Manager and was able to hit the ground running.
‐ Bobby W.
Bobby W.

Frequently Asked Questions

Modern products and services depend on complex, interconnected systems, and projects can stall when teams don’t have a shared way to define scope, document requirements, and make defensible trade-offs. The Cornell Systems Design Certificate will help you bring structure to that complexity so you can lead clearer conversations and produce documentation that holds up with stakeholders.

Across the certificate program, authored by faculty from Cornell’s Duffield College of Engineering, you practice an interdisciplinary, systems-focused approach that applies whether you are working on software, devices, infrastructure, or service operations. You will learn how to define system boundaries and stakeholders, translate scenarios into verifiable functional requirements, map functional flow and interfaces, and evaluate solution options using objective performance metrics.

You finish with practical artifacts you can reuse at work, including diagrams and tables that make scope, requirements, architecture, interfaces, value, and risk visible and manageable.

If you want a repeatable way to turn an idea into clear system documentation, make objective design decisions, and reduce integration and project risk, you should choose Cornell's Systems Design Certificate.

Many online programs focus on passive content consumption and generic quizzes. The Cornell Systems Design Certificate is built around producing professional-quality systems artifacts that you can apply to a system you care about, then improving those artifacts through structured practice, feedback, and peer discussion.

Instead of learning systems concepts in isolation, you develop an end-to-end documentation set that connects:

  • Scope definition (system boundaries, stakeholders, and scenarios)
  • Verifiable functional requirements written as professional “shall” statements
  • Architecture thinking through functional flow and interface definition
  • Value-based decision making using performance metrics and weighted decision matrices
  • Risk identification and mitigation using a formal FMEA

The Systems Design Certificate experience is also designed to be human centered. You learn in a small cohort with an expert facilitator who guides discussions and evaluates your project work, and courses include opportunities for live sessions that help you pressure-test your approach with peers and get your implementation questions answered.

Enrolling in this certificate also provides you with a 6-month All-Access Pass to eCornell's live online AI Workshops, interactive sessions led by world-class Cornell faculty that combine Ivy League insight with practical applications for busy professionals. Each 3-hour Workshop features structured instruction, guided practice, and real tools to build competitive AI capabilities, plus the opportunity to connect with a global cohort of growth-oriented peers. While AI Workshops are not required, they enhance certificate programs through:

  • Integrating AI perspectives across most curricula
  • Responding to emerging AI developments and trends
  • Offering direct engagement with Cornell faculty at the forefront of AI research

Cornell's Systems Design Certificate is a strong fit when your role requires you to coordinate people, requirements, and decisions across multiple stakeholders, teams, or subsystems, and you want a clearer, more defensible way to design solutions.

The Systems Design Certificate is designed for:

  • Engineers and engineering managers
  • Technical and IT leaders
  • Solutions architects
  • Professionals who want stronger systems and solutions architecture workflows

Because the tools focus on scoping, requirements, interfaces, value, and risk, the program can also support professionals working in service-oriented, nonprofit, or government environments where system performance and reliability matter.

Project work in the Cornell Systems Design Certificate is designed to mirror the documentation you would build on a real system so you can leave with a portfolio of practical, reusable outputs.

You will build artifacts such as:

  • A context diagram that defines system boundaries, stakeholders, and interrelationships
  • A ranked use-case list, a use-case diagram, and a scope tree of deliverables
  • A use case behavioral diagram that translates a scenario into verifiable functional “shall” requirements
  • A requirements table and an activity-diagram representation of system behavior
  • A functional flow block diagram that maps operational flow and highlights interfaces and uncertainty
  • Performance criteria and objective measurement scales that feed a weighted decision matrix
  • A Quality Function Deployment (House of Quality) matrix linking customer value to engineering characteristics and initial design targets
  • A sequence diagram plus an interface matrix that assigns ownership and tracks interface specifications
  • A Failure Modes and Effects Analysis (FMEA) with risk scoring, corrective actions, and risk-tracking visuals

Because you develop these components step by step, you can apply them to a system from your own work or a system you choose for learning purposes, then reuse the templates and approaches with your team.

Cornell's Systems Design Certificate strengthens your ability to lead system definition and design decisions with clear documentation and objective reasoning.

After completing the Systems Design Certificate, you will have the skills to:

  • Lead the design process to develop systems and solutions
  • Define key design parameters and assess the impact of each parameter
  • Capture design use cases
  • Benchmark against competitors
  • Identify and track interfaces and interrelationships between elements throughout the design process
  • Define formal, verifiable requirements for a solution
  • Map system functions as a functional flow
  • Complete an assessment of likelihood, impact, and overall risk
  • Identify points of uncertainty and potential points of failure in a solution
  • Determine measurement criteria for effectiveness and interpret results

Students commonly report that the experience translates into more systematic thinking about complex systems, along with practical methods and artifacts they can bring directly into real projects. Feedback themes highlight hands-on, job-relevant work; stronger frameworks for defining scope, requirements, and interfaces; structured trade-off decision making using decision matrices; iterative build-from-scratch project work; and clear templates and examples for professional documentation. Students also mention that the format fits working professionals and that facilitator support and peer discussion help broaden perspective and improve the quality of their deliverables.

What truly sets eCornell apart is how our programs unlock genuine career transformation. Learners earn promotions to senior positions, enjoy meaningful salary growth, build valuable professional networks, and navigate successful career transitions.

Cornell’s Systems Design Certificate, which consists of 7 short courses, is designed to be completed in 4 months. Each course runs for 2 weeks, with a typical weekly time commitment of 3 to 5 hours.

Flexibility comes from the fact that most learning activities can be completed asynchronously on your schedule, while still giving you structured deadlines to maintain momentum. Opportunities for live sessions complement the self-paced work by giving you a time to discuss your approach, compare how others are applying the tools, and clarify questions as you build your documentation.

Students in Cornell’s Systems Design Certificate often describe a hands-on, job-relevant learning experience that helps them think more systematically about how complex systems are defined, analyzed, and improved. They frequently highlight practical methods and artifacts they can bring straight into real projects, along with a clear course flow that builds from early concepts to a polished final deliverable.

Common themes students mention include:

  • Practical systems engineering tools like functional flow block diagrams (FFBDs)
  • Strong frameworks for defining scope, requirements, and interfaces
  • Decision-making tools such as decision matrices for structured trade-offs
  • Iterative, build-from-scratch project work that mirrors real system development
  • Clear templates and examples for creating professional system documentation
  • Short, focused lessons that are easy to absorb and revisit
  • Assignments that reinforce analysis of system behavior and the impact of changes
  • Engaging facilitator support, including timely, actionable feedback
  • Interactive discussions that broaden perspective through peer input
  • A format that fits working professionals, with flexible pacing and predictable deadlines

Overall, students say Cornell’s Systems Design Certificate delivers structured, real-world learning that strengthens their ability to translate an idea into a well-defined system, supported by practical tools, guided exercises, and coaching they can apply immediately on the job.

Cornell's Systems Design Certificate is designed to be accessible to professionals who lead or contribute to technical work, even if “systems engineering” has not been your formal title. The program teaches core practices step by step, using templates and guided assignments that start with defining scope and scenarios, then move into requirements, architecture, interfaces, value assessment, and risk.

A helpful baseline is comfort working on complex problems with multiple stakeholders, constraints, or subsystems. Engineers, engineering managers, technical project leaders, IT leaders, and solutions architects tend to recognize the challenges immediately and can apply the tools to current work.

The main expectation throughout Cornell's Systems Design Certificate is that you will be willing to write, revise, and defend your documentation. Many of the skills come from iteration as you turn a real scenario into diagrams, requirements, matrices, and risk analyses that another person could understand and use.

The tools in Cornell's Systems Design Certificate are intentionally system-agnostic, so you can apply them to software and digital products, operational workflows, service delivery systems, or integrated hardware-software solutions. The methods focus on clarifying what the system must do, how it interacts with external actors and subsystems, and how you will measure value and manage risk.

For example, you can use the same approach to:

  • Define boundaries, stakeholders, and scenarios for a new platform feature, an internal tool, or a customer-facing service
  • Translate user and system scenarios into verifiable functional requirements
  • Map end-to-end functional flow and identify where interfaces and handoffs create integration risk
  • Compare solution options with objective criteria and weighted decision matrices
  • Document failure modes and mitigation plans before costly implementation

If you work in a role where integration, handoffs, and trade-offs determine success, the framework is designed to transfer across domains.

A key benefit of Cornell's Systems Design Certificate is that you don’t just learn concepts; you build a reusable toolkit of templates and documentation patterns that can strengthen how your team communicates and makes decisions.

You will work with practical, professional artifacts such as:

  • Context diagrams, use-case lists, use-case diagrams, and scope trees for aligning stakeholders on what is in and out of scope
  • Requirements-writing checklists and diagram templates for producing verifiable functional requirements and traceable requirements tables
  • Functional flow block diagram templates and formatting guidelines to communicate operational flow and architecture thinking
  • Decision matrix workbooks for weighting, normalizing, and comparing options transparently
  • A quality function deployment (QFD) workbook for linking customer value to engineering characteristics and initial targets
  • Sequence diagram and interface matrix templates for documenting and managing subsystem interfaces, owners, and due dates
  • FMEA templates, rating tables, and risk visualization tools for prioritizing and tracking mitigation

These resources are designed to be easy to share with stakeholders and to adapt as your system evolves.