About this Specialization
Some related experience required.
Some related experience required.
Imperial College London
Imperial College London is a world top ten university with an international reputation for excellence in science, engineering, medicine and business. located in the heart of London. Imperial is a multidisciplinary space for education, research, translation and commercialisation, harnessing science and innovation to tackle global challenges.
Frequently Asked Questions
What is the refund policy?
If you subscribed, you get a 7-day free trial during which you can cancel at no penalty. After that, we don’t give refunds, but you can cancel your subscription at any time. See our full refund policy.
Can I just enroll in a single course?
Yes! To get started, click the course card that interests you and enroll. You can enroll and complete the course to earn a shareable certificate, or you can audit it to view the course materials for free. When you subscribe to a course that is part of a Specialization, you’re automatically subscribed to the full Specialization. Visit your learner dashboard to track your progress.
Is financial aid available?
Yes, Coursera provides financial aid to learners who cannot afford the fee. Apply for it by clicking on the Financial Aid link beneath the "Enroll" button on the left. You'll be prompted to complete an application and will be notified if you are approved. You'll need to complete this step for each course in the Specialization, including the Capstone Project. Learn more.
Can I take the course for free?
When you enroll in the course, you get access to all of the courses in the Specialization, and you earn a certificate when you complete the work. If you only want to read and view the course content, you can audit the course for free. If you cannot afford the fee, you can apply for financial aid.
Is this course really 100% online? Do I need to attend any classes in person?
This course is completely online, so there’s no need to show up to a classroom in person. You can access your lectures, readings and assignments anytime and anywhere via the web or your mobile device.
What background knowledge is necessary?
While you will not need advanced mathematics for this course, it is important that you feel comfortable with some basic mathematical concepts. You will need a working knowledge of ordinary differential equations (ODEs), and be able to interpret and explain an ordinary differential equation to someone who is not familiar with them.
As all coding activities in this course will be performed using the programming language R, you will benefit from having a working knowledge of this before commencing the specialisation. You will not need to know how to do scientific computing using R (this will be taught), but rather feel comfortable with basic R operations, including importing libraries and running simple commands.
How long does it take to complete the Specialization?
Approximately 4 hours a week for 3 to 4 months
Do I need to take the courses in a specific order?
We recommend taking the courses in the order in which they are displayed on the main page of the Specialization
Will I earn university credit for completing the Specialization?
No. Participating in this specialisation will not earn you university credit.
More questions? Visit the Learner Help Center.