Applications for September 2020 are now open | Apply now |
This degree prepares students to move their engineering or data science career forward across a wide variety of roles, such as a data scientist, machine learning engineer, or computational statistician. Students will be trained to become deep thinkers, going beyond algorithms to turn data into actionable insights, contribute to strategic decision making, and become responsible, ethical members of this rapidly growing profession.
Imperial College is ranked #17 in the Global University Employability Ranking 2018.
As an Imperial graduate, you will join 200,000 alumni in an influential global community.
Imperial College London offers a number of services to help you meet your career goals.
Average of 21 hours per week
The first cohort starts on September 14, 2020.
We encourage applications to be submitted early. Imperial College London is likely to make a number of offers during early rounds and anticipates that a number of places will be filled in the programme. We reserve the right to close applications at any time once it reaches cohort capacity.
There is only one cohort per year, the first one starting in September 2020. You will need to apply online directly with Imperial College London by registering and applying for the programme.
If you have any questions about the admissions process or the programme, please do not hesitate to ask via firstname.lastname@example.org. The MLDS is delivered by the Department of Mathematics.
Coursera does not grant credit, and does not represent that any institution other than the degree granting institution will recognize the credit or credential awarded by the institution; the decision to grant, accept, or transfer credit is subject to the sole and absolute discretion of an educational institution. If upon graduation you intend to pursue a PhD or apply for employment which requires a master-level degree beyond 90 ECTS credits, we encourage you to investigate whether this programme meets your academic and/or professional needs before applying.