Overview
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. Imperial students benefit from a world-leading, inclusive educational experience, rooted in the College’s world-leading research. Their online courses are designed to promote interactivity, learning and the development of core skills, through the use of cutting-edge digital technology.
MOOCs
Imperial College London have partnered with Coursera, edX and FutureLearn to deliver online courses to learners across the globe.
Learn new skills, pursue your interests or advance your career with these short online courses from Imperial College London:
Click on a course title to go to the course page
On Coursera
Mathematics for Machine Learning
SPECIALIZATION | Beginner
Statistical Analysis with R for Public Health
SPECIALIZATION | Beginner
Mathematics for Machine Learning: PCA
COURSE | Intermediate
Mathematics for Machine Learning: Multivariate Calculus
COURSE | Beginner
Epidemiology for Public Health
SPECIALIZATION | Beginner
Mathematics for Machine Learning: Linear Algebra
COURSE | Beginner
Introduction to Statistics & Data Analysis in Public Health
COURSE | Beginner
Measuring Disease in Epidemiology
COURSE | Beginner
Linear Regression in R for Public Health
COURSE | Intermediate
Survival Analysis in R for Public Health
COURSE | Intermediate
Study Designs in Epidemiology
COURSE | Intermediate
Logistic Regression in R for Public Health
COURSE | Intermediate
Validity and Bias in Epidemiology
COURSE | Intermediate
Introduction to Android graphics
COURSE | Intermediate
Advanced App Development in Android
SPECIALIZATION | Intermediate
Android Graphics with OpenGL ES
COURSE | Intermediate
3D Graphics in Android: Sensors and VR
COURSE | Advanced
See all courses from Imperial College London on Coursera ►
On edX
www.edx.org
www.edx.org
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www.edx.org
www.edx.org
www.edx.org
www.edx.org
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See more courses from Imperial College London on edX ►
On FutureLearn
www.futurelearn.com
Learn new skills, pursue your interests or advance your career with these short online courses from Imperial College London:
Click on a course title to go to the course page
On Coursera
Mathematics for Machine Learning
SPECIALIZATION | Beginner
Statistical Analysis with R for Public Health
SPECIALIZATION | Beginner
Mathematics for Machine Learning: PCA
COURSE | Intermediate
Mathematics for Machine Learning: Multivariate Calculus
COURSE | Beginner
Epidemiology for Public Health
SPECIALIZATION | Beginner
Mathematics for Machine Learning: Linear Algebra
COURSE | Beginner
Introduction to Statistics & Data Analysis in Public Health
COURSE | Beginner
Measuring Disease in Epidemiology
COURSE | Beginner
Linear Regression in R for Public Health
COURSE | Intermediate
Survival Analysis in R for Public Health
COURSE | Intermediate
Study Designs in Epidemiology
COURSE | Intermediate
Logistic Regression in R for Public Health
COURSE | Intermediate
Validity and Bias in Epidemiology
COURSE | Intermediate
Introduction to Android graphics
COURSE | Intermediate
Advanced App Development in Android
SPECIALIZATION | Intermediate
Android Graphics with OpenGL ES
COURSE | Intermediate
3D Graphics in Android: Sensors and VR
COURSE | Advanced
See all courses from Imperial College London on Coursera ►
On edX
ImperialX: Creative Thinking: Techniques and Tools for Success
Learnhow to applytools and techniques to better solve problems, generate ideas, and excel in your chosen career.
A-level Mathematics for Year 12 - Course 1: Algebraic Methods, Graphs and Applied Mathematics Methods
Develop your thinking skills, fluency and confidence to aim for an A* in A-level maths and prepare for undergraduate STEM degrees.
Coaching Skills for Learner-Centred Conversations
Using coaching approaches in your educational conversations will help you support learners to really maximise their potential, as you become an even more effective and inspiring educator. Over these next four modules, you will become much more familiar with some key coaching principles and...
A-level Mathematics for Year 13 - Course 1: Functions, Sequences and Series, and Numerical Methods
Develop your thinking skills, fluency and confidence to aim for an A* in A-level maths and prepare for undergraduate STEM degrees.
A-level Mathematics for Year 12 - Course 2: Calculus, Newton’s Laws and Hypothesis Testing
Develop your thinking skills, fluency and confidence to aim for an A* in A-level mathematics and prepare for undergraduate STEM degrees.
Incorporating Renewable Energy in Electricity Grids
Learn how to manage high shares of variable renewable electricity sources to achieve cost-effective and reliable electricity supplies
A-level Mathematics for Year 13 - Course 2: General Motion, Moments and Equilibrium, The Normal Distribution, Vectors, Differentiation Methods, Integration Methods and Differential Equations
Develop your thinking skills, fluency and confidence to aim for an A* in A-level maths and prepare for undergraduate STEM degrees.
Why Move Towards Cleaner Power
Learn why we need to clean up our power supply, and why is it urgent that we take action now. Gain the tools you need to present arguments in favour of a cleaner power sector in your part of the world
See more courses from Imperial College London on edX ►
On FutureLearn
Antimicrobial Resistance and Social Science - FutureLearn
How can a social science approach fight antimicrobial resistance and help an antimicrobial stewardship program? Find out on this online health course from BCAS.
MOOC Degrees
- MOOC Degrees
- 2
- Delivered on
- Student Support
-
- Discussion Forums & Office Hours
- Scheduled live tutorials
- Career Services
-
Imperial College London offers a number of services to help you meet your career goals.
- Degree 1
- Length
- 2 years part-time
- Tuition Fees
- £11,300 or £19,440 depending upon geographic location (UK/EU or Overseas) | 2019/20 entry fees
- Sessions per year
- 1
- Degree 2
-
Master of Science of Machine Learning (Subject to final approval by Imperial College London)
- Length
- 24 months
- Tuition Fees
- £28,000
