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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
Tuition Fee and Scholarships
Domestic Students
International Students
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:
Where to look for scholarship opportunities
How to apply to scholarships relevant to you
A list of available scholarships around the world
A scholarship application checklist
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