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15 Best Optimization Courses on edX

The "Best Optimization Courses on edX" page brings together fifteen courses that teach optimisation concepts across a range of academic and professional contexts. All courses are hosted on the edX platform and the listed prices reflect each provider's current fee at the time of writing, ranging from $54.00 to $672.30. The courses cover theoretical foundations, algorithmic techniques, and applied case studies, allowing learners to build a solid base before moving to domain‑specific applications. The selection includes introductory offerings such as "Introduction to Optimization" from Seoul National University and more specialised programmes like Stanford’s "Telehealth: Strategy, Implementation, and Optimization". Prospective learners can compare based on price, university affiliation, and focus area; the order presented reflects our internal ranking, not an external quality rating. Prices vary widely, so budget considerations may guide the choice; for example, the $54.00 introductory course from Seoul National University provides a low‑cost entry point, while the $672.30 Stanford programme targets professionals seeking comprehensive coverage of telehealth optimisation.

Courses compared
15
Price range
$20.00 – $833.33
Providers
edX
Last updated
18 Sep 2026
How these 15 courses were chosen

Every course below is a real, currently listed course from edX, matched to "optimization" by our catalog and ordered by our CourseAsk score. Courses whose own title names the topic rank above those only tagged with it.

The grade on each entry scores how much the provider publishes about the course before you pay — the length and detail of the description, whether it lists learning outcomes and objectives — and whether a named university or institution stands behind it. A is fully documented and institution-backed; E is little more than a title and a price. Courses with almost nothing published are left ungraded rather than marked down, because an unknown course and a poor one are not the same thing.

There are no star ratings on this page — the course feeds we license do not include them, and we would rather leave a column out than fill it with a number we cannot stand behind. What we do have is price: these range from $20.00 to $833.33, as listed by the provider when we last updated the page.

  1. 1
    edX MOOC / Non-credit Grade A University-backed

    Introduction to Optimization

    Offered by Seoul National University

    A self-contained course on the fundamentals of modern optimization with equal emphasis on theory, implementation, and application. We consider linear and nonlinear optimization problems, including network flow problems a...

    $54.00
    listed price
  2. 2
    edX MOOC / Non-credit Grade B University-backed

    Mathematical Optimization for Engineers

    Offered by RWTH Aachen University

    Learn the mathematical and computational basics for applying optimization successfully. Master the different formulations and the important concepts behind their solution methods. Learn to implement and solve optimizatio...

    $119.00
    listed price
  3. 3
    edX MOOC / Non-credit Grade C University-backed

    Telehealth: Strategy, Implementation, and Optimization

    Offered by Stanford University

    This course focuses on the strategic aspects of telehealth, guiding you through its implementation and optimization processes. You'll explore how to design effective telehealth systems that address real-world health chal...

    $672.30
    listed price
  4. 4
    edX MOOC / Non-credit Grade D

    Introduction to optimization on smooth manifolds: first order methods

    Offered by École polytechnique fédérale de Lausanne

    Learn to optimize on smooth, nonlinear spaces: Join us to build your foundations (starting at "what is a manifold?") and confidently implement your first algorithm (Riemannian gradient descent).

    $75.00
    listed price
  5. 5
    edX MOOC / Non-credit

    Optimization: principles and algorithms - Unconstrained nonlinear optimization

    Offered by École polytechnique fédérale de Lausanne

    Introduction to unconstrained nonlinear optimization, Newton’s algorithms and descent methods.

    $59.00
    listed price
  6. 6
    edX MOOC / Non-credit Grade A University-backed

    Mathematical Foundations of AI

    Offered by RWTH Aachen University

    "Mathematical Foundatiouns of AI" offers a rigorous introduction to the fundamental concepts of linear algebra, calculus, and optimization theory that form the mathematical basis of machine learning, data science, deep l...

    $99.00
    listed price
  7. 7
    edX MOOC / Non-credit Grade B University-backed

    Prescriptive Analytics

    Offered by Dartmouth College

    With Dartmouth Engineering, learn to transform data into actionable strategies in Prescriptive Analytics for Digital Transformation. Use Python to build and solve optimization models, tackle complex decisions, and levera...

    $149.00
    listed price
  8. 8
    edX MOOC / Non-credit Grade C

    Recherche opérationnelle: optimiser ses décisions

    Offered by Université de Montréal

    Ce MOOC vise à démystifier la recherche opérationnelle (RO) qui intervient dans plusieurs processus organisationnels et industriels, en particulier ceux relevant de l’allocation des ressources, de la planification des op...

    $189.00
    listed price
  9. 9
    edX MOOC / Non-credit Grade C University-backed

    Applied Quantum Computing I: Fundamentals

    Offered by Purdue University

    Learn the fundamental postulates of quantum mechanics and how they can be mapped onto present-day quantum information processing models, including computation, simulation, optimization, and machine learning.

    $833.33
    listed price
  10. 10
    edX MOOC / Non-credit Grade C University-backed

    Reinforcement Learning

    Offered by RWTH Aachen University

    This MOOC teaches the basics in reinforcement learning. It provides participants with a solid mathematical basis to study new methods from reinforcement learning research and put them into practice.

    $99.00
    listed price
  11. 11
    edX MOOC / Non-credit Grade C Lowest price here

    Optimize Agent Behavior

    Offered by Google Cloud

    You’ve built your first agent—now it’s time to take it further. In this course, you’ll advance your skills by learning how to turn a basic AI agent into a sophisticated, precise assistant—applying advanced instructions,...

    $20.00
    listed price
  12. 12
    edX MOOC / Non-credit Grade C University-backed

    Applied Mathematics

    Offered by Gonzaga University

    This course in Applied Mathematics covers essential mathematical concepts and techniques that are applicable in various fields, particularly in data analysis and machine learning. You'll gain a foundational understanding...

  13. 13
    edX MOOC / Non-credit Grade C

    Architecture & Systems Engineering

    Offered by MIT xPRO

    The course walks through core principles of architecture and systems engineering, showing how to design and manage complex, multi‑component infrastructures. It covers techniques for breaking down requirements, modeling i...

  14. 14
    edX MOOC / Non-credit Grade C

    Implementing AI Algorithms from Scratch

    Offered by CodeSignal

    Build core artificial intelligence and machine learning algorithms from scratch to understand how they work beneath high-level libraries. This advanced path covers neural networks, clustering, ensembles, optimization, cl...

    $160.00
    listed price
  15. 15
    edX MOOC / Non-credit Grade C

    Supply Chain Design

    Offered by LOGYCA

    On this online course you will learn how to design your value proposition and get to know the actors involved in all strategic, tactical and operational processes of the supply chain through organizational planning tools...

    $25.00
    listed price

Best Optimization Courses on edX compared

# Course Provider Offered by Price
1 Introduction to Optimization edX Seoul National University $54.00 View →
2 Mathematical Optimization for Engineers edX RWTH Aachen University $119.00 View →
3 Telehealth: Strategy, Implementation, and Optimization edX Stanford University $672.30 View →
4 Introduction to optimization on smooth manifolds: first order methods edX École polytechnique fédérale de Lausanne $75.00 View →
5 Optimization: principles and algorithms - Unconstrained nonlinear opti... edX École polytechnique fédérale de Lausanne $59.00 View →
6 Mathematical Foundations of AI edX RWTH Aachen University $99.00 View →
7 Prescriptive Analytics edX Dartmouth College $149.00 View →
8 Recherche opérationnelle: optimiser ses décisions edX Université de Montréal $189.00 View →
9 Applied Quantum Computing I: Fundamentals edX Purdue University $833.33 View →
10 Reinforcement Learning edX RWTH Aachen University $99.00 View →
11 Optimize Agent Behavior edX Google Cloud $20.00 View →
12 Applied Mathematics edX Gonzaga University View →
13 Architecture & Systems Engineering edX MIT xPRO View →
14 Implementing AI Algorithms from Scratch edX CodeSignal $160.00 View →
15 Supply Chain Design edX LOGYCA $25.00 View →

Prices shown are the provider's listed price when we last updated this page. Confirm on their site before enrolling.

What the prices here tell you

The 13 priced courses on this page run from $20.00 to $833.33, with the middle of the range around $99.00 — a spread of $813.33. That is a wide gap for one subject. A higher price on this page usually reflects who is behind the course rather than how much material it contains, so it is worth opening two or three at different price points and comparing their syllabus before deciding.

Who is behind these courses

These courses come from edX. Everything on this page is sold on the one platform, so the buying experience is the same whichever you pick. 6 of these are produced by a named university or institution, including Seoul National University, RWTH Aachen University and Stanford University — which usually means a fixed syllabus and a recognised certificate, rather than an individual instructor’s own course.

Before you enrol

Open the provider’s own page and check three things this comparison cannot tell you: when the course was last updated, what the syllabus actually covers in its later sections, and what recent learners say. Prices shown here are the provider’s listed price when we last rebuilt this page on 18 September 2026 — they change often, and a promotion can move them substantially. We earn a commission if you enrol through our links, which costs you nothing and never affects the order courses appear in.

Frequently asked questions

What optimisation topics are covered by the courses on this page?
The list spans introductory theory, such as basic optimisation methods, to applied topics like telehealth strategy and prescriptive analytics. Specific courses include a mathematical optimisation for engineers, optimisation on smooth manifolds, and a broader AI foundations course that includes optimisation techniques.
How should I choose a course based on my background?
Consider your current familiarity with mathematics and the level of depth you need. Beginners may start with the low‑priced "Introduction to Optimization" from Seoul National University, while those with engineering or data‑science experience might prefer the more specialised "Mathematical Optimization for Engineers" or the "Prescriptive Analytics" course from Dartmouth College.
Are there any courses without a listed price?
Yes, two entries – "Applied Mathematics" offered by Gonzaga University and "DELMIA Virtual Factory for Education" – do not have a price shown on the page. You will need to visit the individual edX course pages to see the current fee or any free‑audit options.
Do these courses provide a certificate on completion?
Most edX courses offer an optional verified certificate for a separate fee, but the availability and cost can vary. Check each course's edX description to confirm whether a certificate is offered and what the associated charge is.

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