Master's program in Big Data

Program Overview

The Master's program in Big Data, taught in English, trains specialists in Information Systems and Decision Support. It covers advanced data technologies, data exploration, business intelligence, operations research, and software architecture. Graduates have diverse career opportunities as Data Scientists, Consulting Engineers, or researchers in public and private sectors.

Program Outline

Degree Overview:

The Master's program in Big Data, accredited by the French Ministry of Higher Education and Research, is based on CY Tech Engineering School's expertise in Business Intelligence, Decision Support, Business Intelligence and Business Analytics/Big Data. The program is taught in English and dedicated to non-French-speaking students. Successful students will graduate with a state-recognized Master's Degree.

Objectives:

The objective of this Master’s program is to train future specialists in Information Systems and Decision Support. The program includes solid content in mathematics and uses a wide range of computer-based tools, which allows students to deal with real problems, analyze their complexity and bring efficient algorithmic and architectural solutions. Big Data is the ultimate game changer. The targeted applications concern optimizing the processing of large amounts of data (known as Big Data), logistics, industrial automation, but above all it’s the development of BI Systems architecture. These applications play a major role in most business domains such as logistics, production, finance, marketing, client relation management systems. The need for trained engineering specialists in these domains is constantly growing and this Master’s program answers this emerging need.

Outline:

The Master's program includes two semesters:

• A series of modules at Master II level validating 60 ECTS.
The academic year starts in September.
• An internship including the presentation of a Master Thesis.

Course Catalogue

• Computer Technologies
• Advanced Data Base 2 (PLSQL, Transaction, Distributed Database)
• NoSQL
• Machine Learning with Scala
• Data Exploration
• Data Mining Approach (Time series, logistic regression, Bagging Boosting, Random forest, Neural network)
• Semantic Web and Ontology
• Social Network Analysis
• Business Intelligence
• Advanced BI & Data Visualization
• Operations Research
• Forecasting Models
• SAS Analysis
• Foreign Languages & HR
• FFL: French as a Foreign Language
• PPP: Personalized Professional Project
• Agile Methodology
• Autonomous Work
• Master thesis preparation
• Data Exploration
• Elastic Search Kibana
• Text Mining and Natural Language
• Deep Learning (Convolutional Neural Network, Tensor flow, Keras, ..)
• Operations Research
• Supply Chain
• Constraint Programming
• Multi-Objective Optimization
• Game Theory
• Software and Architecture
• Big Data and Advanced Analytics
• Foreign languages
• FFL: French as a Foreign language
• Autonomous Work

Teaching:

All lectures will be taught in English with the exception of the FLE (French as a Foreign Language) course, which aims to teach students to understand and express themselves in French as well as to get to know the French culture. Students will also be familiarized with the 3 pillars of the Big Data Master's program:

• Modeling, operational research and decision support.
• Data mining and data mining.
• Business Intelligence.

Careers:

Graduates from this Master’s course have numerous and diverse job opportunities –in areas linked to decision support- such as Data Scientists, Consulting Engineers, Research and Development Experts, Tool Design Engineers, BI/Business Analytics Solutions Providers, or simply Users of Business Intelligence tools. Graduates who wish to specialize in the area of research can start a career in both public and private research centers, find a position as researchers in Higher Education or prepare for additional education at the doctoral level.

The tuition fees for one academic year of the Master’s program are 7 000 €. 2000 euros will have to be settled following the admission in order to start the registration process.