About
A combined Math and Computer Science Master Program
This International Program offered by Mines Nancy on «Big Data and Data Science» has the unique feature of being directed by both the Mathematics
and the Computer Science Department, thus guaranteeing an outstanding level in both domains. It is associated with the IECL and Loria facilities conducting world class research in these areas. The program is also sponsored by Saint-Gobain Research within the «Big Data Chair» agreement with Mines Nancy.The «Big Data and Data Science» curriculum is both a Master level program for the French students at Mines Nancy, and a track for foreign exchange students. While the courses are given in English for convenience, students are entirely integrated with French students during sessions and have the opportunity to fully experience French way of life and studies.
Highlights
Embrace the world of data!
The digital transformation of the world economy provides us with tremendous amounts of data. The capacity to leverage these data and transform them into information is offering a wide range of opportunities for new markets, services and improved decision making.
Cutting edge research in Applied Mathematics (Statistics and Optimization) and Computer Science (Machine Learning, Knowledge Mining, High Performance Computing) has been competing with corporate stakeholders to develop tools and
techniques for the management of these data troves.
The aim of this program is to confront these techniques and their applications, as well as their more fundamental underlying theories to modern issues of data science.
At the end of the year, the students will be able to work in many areas as data scientists endorsed by one of the most prestigious French Graduate Schools Of Science, Engineering and Management.
Key points
This International Program offered by Mines Nancy on «Big Data and Data Science» has the unique feature of being directed by both the Mathematics and the Computer Science Department, thus guaranteeing an outstanding level in both domains. It is associated with the Institut Élie Cartan de Lorraine and the Lorraine Research Laboratory in Computer Science and its Applications, facilities conducting world class research in these areas.
The program is also sponsored by Saint-Gobain Research within the «Big Data Chair» agreement with Mines Nancy. The «Big Data and Data Science» curriculum is both a Master level program for the French students at Mines Nancy, and a track for foreign exchange students. While the courses are given in English for convenience, students are entirely integrated with French students during sessions and have the opportunity to fully experience French way of life and studies.
Why study at Mines Nancy?
Meet the experts
Learn from internationally renowned faculty involved in top class laboratories at the forefront of innovation.
Acquire advanced skills…
…to tackle engineering challenges with highly selective combined Math and CS Curriculum based on a combination of theoretical, computational and experimental methods.
Personalized tutoring
Personalized Tutoring in Small Groups.
Individual and personalized support throughout the mobility.
Research and innovation
Benefit from our close collaboration with a world class research environment: Institut Élie Cartan de Lorraine & Lorraine Research Laboratory in Computer Science and its Applications.
Prepare your future career
75% of students hired before graduation: Mines Nancy offers close interaction with industry, through lectures given by our industrial partners and the possibility to perform either academic or industrial research projects.
Live a multicultural experience
This English curriculum is open to and popular with local French students. You will also mix with students from all around the world, as 25% of the students at Mines Nancy come from abroad with origin from over 20 different countries.
Mines Nancy welcome pack
The teachers, staff and students of Mines Nancy are looking forward to welcoming you. Many services are provided and social events are organized for international students to help you settle in and feel comfortable. An optional French summer school is also available for you to feel even more at ease.
Enjoy Nancy
Nancy is renowned throughout the world for its Unesco-listed Place Stanislas. This Capital of Lorraine is a wonderfully charming and dynamic city with more than 60000 students. There are more than 40 clubs and student societies at Mines Nancy (sports, arts, social events, professional activities…).
Program
This program offers the enrolled students an in-depth focus on the mathematical foundations of Data Mining and Numerical Optimization underpinning Machine Learning and Knowledge Extraction theories and techniques, as well as an overview of the technical architectures supporting high performance distributed data processing and computation.
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Core courses |
20 ECTS 204Hrs |
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EU1 Large Scale Statistics |
4 ECTS 42h |
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Multiple testing issue, False Discovery Rate (FDR), usual method (Bonferroni, local FDR, Benjamini-Hochberg,..), case of correlated data |
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Penalised regression: LASSO, RIDGE, ELASTICNET |
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Decision trees and random forest, variable importance |
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Criteria of model selection: AIC, BIC, … |
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Criteria of goodness of it: RMSE, confusion table ROC curve |
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Variable selection: Cross validation, knockoffs, stability selection |
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EU2 Machine Learning |
2 ECTS 21h |
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Classification |
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Dimensionality Reduction |
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Feature Extraction & Feature Learning |
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Deep Learning |
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EU3 Scalable Distributed Architectures |
2 ECTS 21h |
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High Availability, High Troughput, Distributed Storage |
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Scalable Distributed Computing |
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MapReduce |
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NoSQL |
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EU4 Knowledge Extraction |
2 ECTS 21h |
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Symbolic data mining |
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Knowledge representation |
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Pattern extraction |
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Formal Concept Analysis |
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EU5 Optimization |
4 ECTS 36h |
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Theoretical results for unconstrained and contrained optimisation |
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Gradient methods |
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Penalization, duality |
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Formal Concept Analysis |
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EU6 Information Theory+ |
2 ECTS 21h |
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Data compression. The case of Kolmogorov complexity. The case of the Shannon entropy. |
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Main results on Shannon information: chain rule, data treatment inequality; |
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Lossy data compression: what is the maximum compression rate that you can achieve for a signal up to a certain tolerable distorsion? |
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Kullback-Leibler divergence and large deviation theory: how surprising is a result with respect to a given belief? |
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The Cramér-Rao bound: in statistics, this is a fundamental limit on how much information you can get about a hidden parameter. |
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Information theory as a tool for model selection: justification for the AIC and BIC criteria. |
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EU7 Spatial Statistics |
4 ECTS 42h |
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Point processes (Poisson, Cox, Gibbs). |
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Markovianity and integrability. Hammersley Clifford theorem. Campbell Mecke theorem. Palm distributions. |
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- Exploratory statistics tools. Simulation algorithms (Metropolis-Hastings, Gibbs, CFTP). Bayesian inference. |
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- Applications : geosciences, image analysis, astrophysics. |
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Tutored project |
9 ECTS 100Hrs |
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Industry and Business project & seminars |
2 ECTS |
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EU1 Artem Insight |
1 ECTS |
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1 week dedicated to the development of a project proposed by a company or an organization |
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EU2 Ateliers Artem |
4 ECTS |
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About twenty workshops are offered each year, one day a week between September and April. |
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Research internship |
30 ECTS |
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6 months Research internship in Partner Labs or industry |
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How to apply
If you live in one of the following countries, you have to apply on Etudes en France platform from November to March :
Algeria, Argentina, Benin, Brazil, Burkina Faso, Burundi Cameroon, Chile, China, Colombia, Comoros, the Republic of the Congo, South Korea, Ivory Coast, Egypt, United States, Gabon, Guinea, Haïti, India, Indonesia, Iran, Japan, Kuwait, Lebanon, Madagascar, Mali, Morocco, Mauritius, Mauritania, Mexico, Niger, Nigeria, Peru, Senegal, Democratic Republic of Congo, Russia, Saudi Arabia, Senegal, Singapore, Taiwan, Tchad, Togo, Tunisia, Turkey and Vietnam.
https://pastel.diplomatie.gouv.fr/etudesenfrance/dyn/public/authentification/login.html
If you live in a a country not listed above, you have to apply on the e-candidat platform : https://ecandidat.univ-lorraine.fr/
Entry requirements
Candidates should have achieved at least 4 years of higher education or M1 with a solid background in mathematics, statistics, computer science, engineering science.
Within a bilateral agreement
- Erasmus exchange students: Free
- Non-EU exchange students: Free
Free movers
- EU/EEA/Overseas: 4 500€
excluding registration fee (about 243€)
French Summer School
Date: From the beginning of July until the end of August or a possibility of a personalized schedule
Duration: 160 hours
- 2 months (from the beginning of July to the end of August):
Participation fees are €1000. If you are enrolled at Mines Nancy or a student coming from a Partner University, fees are reduced to €800. - 1 month (from the end of July to the end of August):
Participation fees are €500. If you are enrolled at Mines Nancy or a student coming from a Partner University, fees are reduced to €400.
Welcome pack
Mines Nancy offers individual and personalized support throughout the mobility.
- Accommodation & administration support
- Personalized welcome from the railway station to accommodation
- Help with arrival in Nancy
- Educational mentoring
- Buddy programme
- International week end
- Social & cultural activities
- Intercultural Days
Apply
Application
If you live in one of the following countries, you have to apply on Etudes en France platform from November to March :
Algeria, Argentina, Benin, Brazil, Burkina Faso, Burundi Cameroon, Chile, China, Colombia, Comoros, the Republic of the Congo, South Korea, Ivory Coast, Egypt, United States, Gabon, Guinea, Haïti, India, Indonesia, Iran, Japan, Kuwait, Lebanon, Madagascar, Mali, Morocco, Mauritius, Mauritania, Mexico, Niger, Nigeria, Peru, Senegal, Democratic Republic of Congo, Russia, Saudi Arabia, Senegal, Singapore, Taiwan, Tchad, Togo, Tunisia, Turkey and Vietnam.
https://pastel.diplomatie.gouv.fr/etudesenfrance/dyn/public/authentification/login.html
If you live in a a country not listed above, you have to apply on the e-candidat platform : https://ecandidat.univ-lorraine.fr/
In the meanwhile, you have to send the following documents by email to mines-nancy-scolarite-du@univ-lorraine.fr :
- Application form duly completed
• Official transcripts (in English)
• CV and cover letter (in English)
• Copy of passport
• Proof of Language Proficiency (compulsory minimum B2)
Entry requirements
Candidates should have achieved at least 4 years of higher education or M1 with a solid background in mathematics, statistics, computer science, engineering science.
Within a bilateral agreement
- Erasmus exchange students: Free
- Non-EU exchange students: Free
Free movers
- EU/EEA/Overseas: 6 000€
excluding registration fee (about 270€)
Fellowships
Possible fellowships based on academic achievements, application to be submitted by april 15th.
French Summer School
Date: From the beginning of July until the end of August or a possibility of a personalized schedule
Duration: 160 hours
- 2 months (from the beginning of July to the end of August):
Participation fees are €1000. If you are enrolled at Mines Nancy or a student coming from a Partner University, fees are reduced to €800. - 1 month (from the end of July to the end of August):
Participation fees are €500. If you are enrolled at Mines Nancy or a student coming from a Partner University, fees are reduced to €400.
Contact
You want to contact us about the program International Graduate Program: Big Data & Data Science? Please fill in form below:
