Overview
Information Technology - Data Science at IMT Atlantique - Graduate Engineering School offers a balanced education across the field's three fundamental pillars: mathematics, computer science, and domain expertise. This integrated approach enables students to design, evaluate, and deploy machine learning solutions that effectively address real-world organizational challenges. This vision can be summed up as: “Engineering effective data science solutions for decision making.”
Keywords
- Mathematical and statistical foundations essential for data analysis.
- Machine Learning and Artificial Intelligence algorithms, implementation, and optimization.
- Large-scale data management infrastructures and technologies.
- Methodologies and explainable methods for combining domain needs with machine and human intelligence.
- Ethical, legal, and societal notions related to data usage.
Competencies acquired
Thanks to IMT Atlantique's expertise in postgraduate education and research, high-level competencies are acquired not only in technical/scientific fields but also in team working, written and oral communication, innovation and project management.Last but not least, French language is also one of the competencies acquired, beneficial for working in France and other French-speaking countries or for French companies abroad.Programme Structure
Courses include:
- Applied Statistics
- Advanced Data Mining
- Data and Digital Society
- Time Series Analysis
- Natural Language Processing & Text Mining
- Graph Theory and Social Networks
- Advanced Big Data Architectures
- Business Intelligence
- Combinatorial Optimisation
Key information
Duration
- Full-time
- 24 months
Start dates & application deadlines
- Starting
- Apply before
-
Language
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Credits
Delivered
Campus Location
- Nantes, France
Disciplines
Information Technology (IT) Data Science & Big Data View 56 other Masters in Data Science & Big Data in FranceWhat students do after studying
Academic requirements
English requirements
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- Trusted by 300k learners
- 98 accuracy using real exam data
- 4.9/5 student rating
Other requirements
General requirements
- Evidence of prior competence, via academic background or work/project experience, must be demonstrated in relevant areas of computer science (data structures, programming, algorithms, database systems, software engineering) and/or mathematics (calculus, probability and statistics).
- A genuine motivation in acquiring the remaining background knowledge is a key factor for success. Evidence of a strategy to address this challenge is expected.
- C.V. / Resume
- Motivation letter
- Applicant's previous grades (minimum GPA 3.0 or equivalent), scores and recommendations
- English test for non-native speakers (TOEFL ibt 80, IELTS 6.0, TOEIC 750, Duolingo 120, Cambridge)
- Working or training experience
- Description of the professionnal plans after the IT/DS program
- Reference letters
Student Insurance via Studyportals Partner
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Tuition Fees
-
International Applies to you
Applies to youNon-residents5700 EUR / year≈ 5700 EUR / year -
EU/EEA Applies to you
Applies to youEU/EEA Nationals3600 EUR / year≈ 3600 EUR / year
Living costs
Nantes
The living costs include the total expenses per month, covering accommodation, public transportation, utilities (electricity, internet), books and groceries.
Funding
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Scholarships Information
Below you will find Master's scholarship opportunities for Information Technology - Data Science.
Available Scholarships
You are eligible to apply for these scholarships but a selection process will still be applied by the provider.
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