Program Overview

Master of Science Data Management

Presentation

We have produced over the last two years as much data as during the last 5000 years and the volume of data in the world will be multiplied by 7 in 5 years...

« New black gold », fuel of the digital economy, data has become a source of enrichment for companies that know how to process and value it.

Faced with this exponential growth in data volumes, companies of all sizes and all sectors, consulting firms, public organizations, local authorities, associations, have no choice but to define and implement a strategy to manage their data: collection, classification, storage, updating, securing and exploitation of data to improve their organizational performance.

Based on an educational approach combining multidisciplinary teaching, projects and feedback, aivancity’s MSc Data Management enables (us) to respond to the opportunities and challenges raised by the massification of data in all sectors of economic activity and all areas of our society.

Aivancity’s MSc Data Management aims not only to master the entire data management cycle (acquisition, retention, cleaning, sorting, securing and analysis), using the best tools and techniques, but also to understand their challenges in organizations (decision support, data business models, customer/user relationships, understanding of business processes, etc.) as well as their legal and ethical implications (respect for personal data, data governance, etc.).

Degrees

• Master of Science Data Management
• State-registered professional certification RNCP level 7 (bac+5/6 equivalent): «Expert infrastructure et traitement des données massives»
• Professional certifications whose preparation is integrated into the program:
  • ​AWS certification
  • ​Microsoft Azure certification
  • ​Google Analytics certification
  • ​Tableau Data Analyst certification

Learning Goals

• Gather information from large and complex data sets.
• Analyze, process and model massive (big) data using statistical models to make them intelligible and exploitable
• Gain an in-depth understanding of the foundations, methods and technologies of Big Data.
• Ability to practice various data analysis tools: Excel, Power BI, Tableau…
• Master the relevant laws and regulations for data management and governance
• Integrate ethical issues, particularly privacy and liability (accountability) issues.
• Managing (Manage) a data management project
• Apply data management to a business area (domain): Marketing and sales, finance, HR, production and maintenance, health, services, biology, ecology, land management and many other fields...

Assesment & teaching methods

The assessment of student achievements in this program will be carried out through a variety of methods, allowing for a comprehensive and accurate evaluation of their skills, in accordance with the requirements of the diploma or professional certification awarded

Performance indicators 2022/2023

• Satisfaction rate: 95%
• Graduation presentation rate: 100%
• Graduation success rate: 92%

Format

• Type: In initial training (or in alternation) or alternating training (apprenticeship or professionalization contract or alternating internship).
• Course duration: 2 years
• Language: French or English
• Learning rhythm: Year 1 and 2 at school & Intership of 4-6 month at the end of year 2
• Program structure:
  • Boarding for aivancity
  • Back-to-school seminar
  • AI Clinic (1st year students)
  • Final-year project tutoring
  • Career coaching

2 years to become a Data Management expert

Year 1

• Common core
  • Big Data and Artificial Intelligence
  • Math and statistics
  • Data Analysis and Data Visualization
  • Programming
  • Soft skills
• Stats (Statistics) and Computing
  • Statistical data analysis
  • Information systems
  • Business Analytics
  • Advanced Excel
• Data mining
  • Data acquisition and storage
  • Data analysis and visualization
  • Python for data analysis (analytics)
• Business analytics
  • Big data
  • Data driven decision making
  • Business intelligence & Open Data
• Enjeux (Challenges)
  • Data law (Data rights)
  • Data ethics
  • Data security
• aivancity experience
  • AI Clinic

Year 2

• Boarding for aivancity (2nd Year)
  • Statistics
  • Advanced Excel
  • IS (architecture, networks, servers)
  • Python for data analysis
  • Power BI
  • Data security
  • Ethics
  • Soft skills
• Data science et IA
  • AI Fundamentals
  • Machine Learning Fundamentals
  • Cloud computing
• Business management of data (Data business management)
  • Data project management
  • Business models of Data
  • Data governance
• Track Data management for Finance
  • Financial analysis
  • Management control and performance management (monitoring)
  • Big Data and Analytics for Performance Management
  • Financial Data Visualisation
• Track Data management for marketing
  • Web analytics
  • Social analytics
  • Scoring & predictive marketing
• Track Data management for operational excellence
  • Operations management
  • Supply chain analytics
  • Data for quality management
  • The evolution of data integration: data warehouse, data lake and streaming data processing
• Certificates (Certifications)
  • Preparation for Microsoft and AWS professional certifications
• aivancity experience
  • Career Coaching
  • AI Clinic
  • End-of-study project

AIVANCITY'S MASTER'S DEGREE IN DATA MANAGEMENT TRAINS FOR THE FOLLOWING PROFESSIONS

• Data Manager
• Data Analyst
• Chief Data officier
• Consultant Data

Employment Statistics for the 2023 Graduating Class

• Employment rate within 6 months: 100%
• Further studies rate: 0%

ADMISSION (ENTRANCE) REQUIREMENTS

aivancity's MSc Data Management is aimed at graduates with a bachelor's degree or higher from higher education institutions, regardless of their field of study.

• To be eligible for an apprenticeship, the student must be a European Union national or international student who can justify a first year of initial training taken on the French territory.
• Students from outside the EU, who are beginning their studies in France, can follow this program in alternating internship. Tuition fees will be covered by the Student.

SELECTION PROCESS (PROCEDURE)

All candidates pass selection tests based on knowledge, skills and open-mindedness, including sensitivity to ethical and responsibility issues.

Admission tests| Duration| Coefficient (Ratios)
---|---|---
Review of the application file| -| 3
Individual interview| 30 min| 3
Multiple Choice Quiz on Numeric and Verbal Logic| 45 min| 2
Multiple Choice Quiz on Data and AI Culture| 30 min| 2

STUDY COSTS AND FINANCING

• Under an apprenticeship or professionalization contract, the cost of the training is financed via the company's OPCO (according to the established level of coverage).
• In the context of an alternating internship, the cost of the training to be covered by the student is € 12,500 per year.