Imperial College London
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The MLDS degree is a fully online degree part-time programme, delivered and structured over two-years, with three terms per academic year.
Year one modules:
Year two modules:
With hands-on projects, students build a portfolio using industry-standard tools such as PySpark to showcase their new skills in applications such as probabilistic modeling, deep learning, unstructured data processing and anomaly detection. Relationships with corporate partners provide students the opportunity to address issues from different sectors, such as finance, software, health and medicine, engineering, and government.
When you graduate, you’ll be able to:
You can choose from the following two Specializations from other programmes offered by Imperial College London:
Each academic year is divided into three terms.
Complete 12 modules over two years (90 ECTS), including a research portfolio.
On average, you will dedicate 21 hours per week to study.
|Year||Term 1||Term 2||Term 3|
|Year 1||3 modules (12.5 ECTS)||2 modules (12.5 ECTS)||3 modules (15 ECTS)|
|Year 2||2 modules (15 ECTS)||3 modules (15 ECTS)||1 module* (20 ECTS)|
Note: Ethics module is split into 3 parts (T1,T3,T5)
The online Machine Learning and Data Science degree is a chance to earn a Master's degree from a leading university. Students can keep their commitments while earning the degree, studying online on their own schedule. The 100% online format of the programme fosters global collaboration and shared research among students in a way that campus-based programmes cannot.
Access all course materials anywhere with the mobile app, used by over 80 percent of degree students on Coursera. Available on iOS and Android.
Using the mobile app, learners can:
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.