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.

Core courses

20 ECTS 204Hrs

EU1 Large Scale Statistics

4 ECTS 42h

Hrs

Multiple testing issue, False Discovery Rate (FDR), usual method (Bonferroni, local FDR, Benjamini-Hochberg,..), case of correlated data

Penalised regression: LASSO, RIDGE, ELASTICNET

Decision trees and random forest, variable importance

Criteria of model selection: AIC, BIC, …

Criteria of goodness of it: RMSE, confusion table ROC curve

Variable selection: Cross validation, knockoffs, stability selection

EU2 Machine Learning

2 ECTS 21h

Hrs

Classification

Dimensionality Reduction

Feature Extraction & Feature Learning

Deep Learning

EU3 Scalable Distributed Architectures

2 ECTS 21h

Hrs

High Availability, High Troughput, Distributed Storage

Scalable Distributed Computing

MapReduce

NoSQL

EU4 Knowledge Extraction

2 ECTS 21h

Hrs

Symbolic data mining

Knowledge representation

Pattern extraction

Formal Concept Analysis

EU5 Optimization

4 ECTS 36h

Hrs

Theoretical results for unconstrained and contrained optimisation