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In the last few decades, companies have accumulated overwhelming amounts of data, be it textual (reports, emails, phone call transcripts, etc.), numeric (sales figures, meteorological data, etc.) or binary (images, audio, sensor data, etc.). Using statistical... Read more
In the last few decades, companies have accumulated overwhelming amounts of data, be it textual (reports, emails, phone call transcripts, etc.), numeric (sales figures, meteorological data, etc.) or binary (images, audio, sensor data, etc.). Using statistical “data mining” methods, one can detect tendencies, hidden patterns and knowledge nuggets, and use them to make strategic decisions. This process is of crucial importance in all sectors of activity, and in particular for business, science, politics, security, healthcare, etc.
The MSc program in IT, track in Data science is aimed at future experts in the design of high-performance support systems for data mining, knowledge extraction and decision aiding.
This Masters program also offers a gateway to PhD studies.
Program content : > Computer science fundamentals > Mathematical tools > Probability and statistics > Introduction to data science > Networking fundamentals > Bibliographical study > Big data and cloud computing > Deep learning > Introduction to machine learning > A journey to data science > Cloud computing for environmental data > Advanced data mining > Natural language processing & text mining > Business intelligence > Graph theory and social networks > Introduction to AI > Game theory > Master thesis
In the last few decades, companies have accumulated overwhelming amounts of data, be it textual (reports, emails, phone call transcripts, etc.), numeric (sales figures, meteorological data, etc.) or binary (images, audio, sensor data, etc.). Using statistical... Read more
In the last few decades, companies have accumulated overwhelming amounts of data, be it textual (reports, emails, phone call transcripts, etc.), numeric (sales figures, meteorological data, etc.) or binary (images, audio, sensor data, etc.). Using statistical “data mining” methods, one can detect tendencies, hidden patterns and knowledge nuggets, and use them to make strategic decisions. This process is of crucial importance in all sectors of activity, and in particular for business, science, politics, security, healthcare, etc.
The MSc program in IT, track in Data science is aimed at future experts in the design of high-performance support systems for data mining, knowledge extraction and decision aiding.
This Masters program also offers a gateway to PhD studies.
Program content : > Computer science fundamentals > Mathematical tools > Probability and statistics > Introduction to data science > Networking fundamentals > Bibliographical study > Big data and cloud computing > Deep learning > Introduction to machine learning > A journey to data science > Cloud computing for environmental data > Advanced data mining > Natural language processing & text mining > Business intelligence > Graph theory and social networks > Introduction to AI > Game theory > Master thesis
A committee consisting of professors is charged of selecting the applicants, based on the following criteria:
C.V. / Resume
Motivation letter
Applicant's previous grades, scores and recommendations
English level
Working or training experience
Description of the professionnal plans after the IT/DS program
Reference letters
15 Nov 2023
2 Years
Feb
Candidates are required to submit references or letter(s) of recommendation for acceptance
Candidates are required to submit an essay(s) for acceptance
Tuition fees
Domestic
3,000 EUR
International
5,100 EUR
Scholarships
Selecting the right scholarship can be a daunting process. With countless options available, students often find themselves overwhelmed and confused. The decision can be especially stressful for those facing financial constraints or pursuing specific academic or career goals.
To help students navigate this challenging process, we recommend the following articles:
MSc in Information Technology, track in Data Science
Campus Brest, Brest, France
# 201-250QS Subject Rankings
24 monthsProgram duration
5,100 EURTuition Fee/year
15 Nov, 2023Application Deadline
Program overview
Main Subject
Computer Science and Information Systems
Degree
MSc
Study Level
Masters
Study Mode
On Campus
In the last few decades, companies have accumulated overwhelming amounts of data, be it textual (reports, emails, phone call transcripts, etc.), numeric (sales figures, meteorological data, etc.) or binary (images, audio, sensor data, etc.). Using statistical...
Read more
In the last few decades, companies have accumulated overwhelming amounts of data, be it textual (reports, emails, phone call transcripts, etc.), numeric (sales figures, meteorological data, etc.) or binary (images, audio, sensor data, etc.). Using statistical “data mining” methods, one can detect tendencies, hidden patterns and knowledge nuggets, and use them to make strategic decisions. This process is of crucial importance in all sectors of activity, and in particular for business, science, politics, security, healthcare, etc.
The MSc program in IT, track in Data science is aimed at future experts in the design of high-performance support systems for data mining, knowledge extraction and decision aiding.
This Masters program also offers a gateway to PhD studies.
Program content :
> Computer science fundamentals
> Mathematical tools
> Probability and statistics
> Introduction to data science
> Networking fundamentals
> Bibliographical study
> Big data and cloud computing
> Deep learning
> Introduction to machine learning
> A journey to data science
> Cloud computing for environmental data
> Advanced data mining
> Natural language processing & text mining
> Business intelligence
> Graph theory and social networks
> Introduction to AI
> Game theory
> Master thesis
Job opportunities :
- Data Scientist
- Data Miner
- Analyst
- Analytics Manager
- R&D Engineer
- Consulting Expert
- Decision Support System Designer
- Software developer
- Business analyst
- Researcher and Academic.
Read lessProgram overview
Main Subject
Computer Science and Information Systems
Degree
MSc
Study Level
Masters
Study Mode
On Campus
In the last few decades, companies have accumulated overwhelming amounts of data, be it textual (reports, emails, phone call transcripts, etc.), numeric (sales figures, meteorological data, etc.) or binary (images, audio, sensor data, etc.). Using statistical...
Read more
In the last few decades, companies have accumulated overwhelming amounts of data, be it textual (reports, emails, phone call transcripts, etc.), numeric (sales figures, meteorological data, etc.) or binary (images, audio, sensor data, etc.). Using statistical “data mining” methods, one can detect tendencies, hidden patterns and knowledge nuggets, and use them to make strategic decisions. This process is of crucial importance in all sectors of activity, and in particular for business, science, politics, security, healthcare, etc.
The MSc program in IT, track in Data science is aimed at future experts in the design of high-performance support systems for data mining, knowledge extraction and decision aiding.
This Masters program also offers a gateway to PhD studies.
Program content :
> Computer science fundamentals
> Mathematical tools
> Probability and statistics
> Introduction to data science
> Networking fundamentals
> Bibliographical study
> Big data and cloud computing
> Deep learning
> Introduction to machine learning
> A journey to data science
> Cloud computing for environmental data
> Advanced data mining
> Natural language processing & text mining
> Business intelligence
> Graph theory and social networks
> Introduction to AI
> Game theory
> Master thesis
Job opportunities :
- Data Scientist
- Data Miner
- Analyst
- Analytics Manager
- R&D Engineer
- Consulting Expert
- Decision Support System Designer
- Software developer
- Business analyst
- Researcher and Academic.
Read lessAdmission Requirements
A committee consisting of professors is charged of selecting the applicants, based on the following criteria:
Tuition fees
Domestic
International
Scholarships
Selecting the right scholarship can be a daunting process. With countless options available, students often find themselves overwhelmed and confused. The decision can be especially stressful for those facing financial constraints or pursuing specific academic or career goals.
To help students navigate this challenging process, we recommend the following articles:
Scholarship Applications: Frequently Asked Questions
Get answers to all your questions about scholarship applications, including tips on how to find scholarships and chances of success.
Scholarships to study abroad
Find scholarships to study abroad with our lists of international scholarships – categorized by country, by subject, and by type of student.
How to get a full scholarship
Looking for a fully-funded scholarship to see you into university? Find out how to boost your chances of getting one.
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