QS Rank:
2
Imperial College London
London
,United Kingdom
Program Name
MRes in Machine Learning and Big Data in the Physical Sciences
Deadline
November 04th, 2023
Overview
View Official pageThe Master of Machine Learning and Big Data in the Physical Sciences is a top-ranked program that provides in-depth study in the field of Physical Sciences. An MS in Physical Sciences from Imperial College London is consistently ranked among the best in the world, and international students choose this program for its high graduate employability rate.
Imperial College London offers exceptional educational quality, cutting-edge practical training, and ample employment opportunities to its international students. After completing their MS in Physical Sciences from Imperial College London, students will be prepared to conduct extensive research in the field.
The interactive curriculum, extensive research opportunities, and world-class teaching faculty at Imperial College London provide students with a life-changing learning experience. An MS degree will help students become creative and independent researchers. Overall, an MS in Physical Sciences from Imperial College London is a great choice for students who want to study the field in depth.
Here are some of the reasons why you should study Machine Learning and Big Data in the Physical Sciences at Imperial College London:
* It is a popular choice for international students and has a diverse community.
* You will learn from the best faculty members and have the opportunity to become their research assistants.
* The program has state-of-the-art labs to facilitate research work.
* There are excellent placement programs after course completion.
Duration
12 Months
Ranking
#20
US World and News Report
#12
The World University Rankings
#2
QS World University Rankings
Class Profile
Diversity
China:
10%Others:
3%United States:
4%India:
6%United Kingdom:
67%Application Requirements
Here's everything you need to know to ensure a complete and competitive application—covering the key documents and criteria for a successful submission.
Application Deadlines
Round 1 | |
---|---|
Fall | Nov 4, 2023 |
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