MSc in Information Technology, track in Data Science
24 monthsProgramme duration
5,100 EURTuition Fee/year
15 Nov, 2023Application Deadline
FebStarting Month
Programme 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 “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.
Programme 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 “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.
Admission Requirements
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
- 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
International
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