Master in Computer Science – Track: Machine Learning for Data Science (MLSD) 24 months Postgraduate Program By Université Paris Cité |Top Universities
Subject Ranking

# 251-300QS Subject Rankings

Program Duration

24 monthsProgram duration

Scholarship

YesScholarships

Main Subject Area

Computer Science and Information SystemsMain Subject Area

Program overview

Main Subject

Computer Science and Information Systems

Degree

Other

Study Level

Masters

Study Mode

On Campus

Most of the important decisions of business managers, but also of scientists or economists for example, are taken today on the basis of the analysis of massive and multi-view data. These data are at the heart of the functioning of current artificial intelligences. If this data is available in abundance ( Big data ), it is most often in raw form and first requires informed reorganization and preprocessing. Then, an analysis phase, using machine learning methods ( Machine Learning) from artificial intelligence and statistics, is therefore necessary. This is the subject of the work-study Master's degree "Machine Learning for Data Science". This master requires skills in computer science and applied mathematics. In M1, teaching units specific to the fields of machine learning, data science, big data and artificial intelligence are offered. This master also exists in initial training ( FI ) under the name “Machine Learning for Data Science”.


This work-study master's degree aims to:


  • Train Data Scientists who master the different machine learning methods (supervised, unsupervised and semi-supervised using different approaches including deep learning) and are capable of designing new methods adapted to the various fields of activity with the aim of extracting knowledge useful for optimizing the company's offers and services.
  • Also allow to continue with a thesis in the field of machine learning, artificial intelligence and data science on theoretical and applied subjects in various fields including text-mining, NLP, recommendation and Computer vision.

Program overview

Main Subject

Computer Science and Information Systems

Degree

Other

Study Level

Masters

Study Mode

On Campus

Most of the important decisions of business managers, but also of scientists or economists for example, are taken today on the basis of the analysis of massive and multi-view data. These data are at the heart of the functioning of current artificial intelligences. If this data is available in abundance ( Big data ), it is most often in raw form and first requires informed reorganization and preprocessing. Then, an analysis phase, using machine learning methods ( Machine Learning) from artificial intelligence and statistics, is therefore necessary. This is the subject of the work-study Master's degree "Machine Learning for Data Science". This master requires skills in computer science and applied mathematics. In M1, teaching units specific to the fields of machine learning, data science, big data and artificial intelligence are offered. This master also exists in initial training ( FI ) under the name “Machine Learning for Data Science”.


This work-study master's degree aims to:


  • Train Data Scientists who master the different machine learning methods (supervised, unsupervised and semi-supervised using different approaches including deep learning) and are capable of designing new methods adapted to the various fields of activity with the aim of extracting knowledge useful for optimizing the company's offers and services.
  • Also allow to continue with a thesis in the field of machine learning, artificial intelligence and data science on theoretical and applied subjects in various fields including text-mining, NLP, recommendation and Computer vision.

Admission requirements

2 Years
Sep

Tuition fee and scholarships

One of the important factors when considering a master's degree is the cost of study. Luckily, there are many options available to help students fund their master's programme. Download your copy of the Scholarship Guide to find out which scholarships from around the world could be available to you, and how to apply for them.

In this guide you will find:
opportunities

Where to look for scholarship opportunities

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How to apply to scholarships relevant to you

list

A list of available scholarships around the world

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A scholarship application checklist

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More programs from the university

Université Paris Cité boasts three faculties:


There are 61 bachelor’s programs at the Université Paris Cité. You can learn more about the courses at Université Paris Cité here.

To find out more about the entry process, you can visit the following link.

International students can learn more about funding on the Campus France website. Non-European students can learn more about the admission procedures for undergraduate programs here.

The school boasts three faculties:


There are 100 research and Professional Master’s programs at Université Paris Cité, offering more than 300 specializations.

International Master’s Programs:

  • Bioinformatics
  • Physics
  • Earth Sciences
  • Chemistry
  • Neuroscience
  • English
  • History and Heritage
  • AIRE (CRI)
  • Nanomed (Nanomedicine for Drug Delivery)
  • Biomedical Engineering
  • Common Law and Comparative Law
  • LLM in Anglo-American Business Law
  • LLM in International Law
  • Public Health


There are 21 Doctoral programs, 119 research laboratories, and 52 international laboratories. You can learn more about the courses at Université Paris Cité here.

To find out more about the application process, you can look here.

Université Paris Cité invites the most talented foreign students to enroll in certain master’s programs in order to encourage them to stay in Paris and prepare their doctorates. Information can be found here.

If you’re a non-European student, the admission procedures for postgraduate programs can be found here.

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