Master of Science Data Engineering draft draft

Program Overview

The Master of Science Data Engineering program at Aivancity equips students with the technical and business skills to manage and analyze large datasets. Through hands-on projects and industry-relevant modules, students gain expertise in data engineering, programming, and business analytics. The program emphasizes ethical and societal considerations in data handling and prepares graduates for high-demand careers in the data-driven economy.

Program Outline

Degree Overview:

• Program Name: Master of Science Data Engineering
• Overview:
Aivancity's MSc Data is a response to the opportunities and challenges raised by the massification of data in all sectors of economic activity and all areas of our modern society, leading to a significant shift in businesses and practices. Faced with exponential growth in data volumes, companies of all sizes and in all sectors have no choice but to reflect on and implement solutions capable of addressing the challenges associated with this mega-data, which is described as “fuel” or “black gold” because its value fuels the digital economy. Moreover, the importance of data is not just for the economic world. Public organizations, scientific research, NGOs, communities, and Smart Cities are also concerned.
• Objectives:
• Add value to a team, company, or organization with a combination of technical and business skills, knowledge about legal and ethical issues related to data engineering, and the ability to effectively communicate with professionals from different disciplines.
• Identify patterns and gather insights from large and complex datasets
• Acquire a profound understanding of the foundations, methods, and technologies of Big Data.
• Design and maintain a platform for processing large volumes of data.
• Design a data warehouse and a processing infrastructure.
• Perform hands-on activities on various analysis and programming tools: Python, R, Scala, Java, etc.
• Analyze, process, and model massive data using statistical models to make them intelligible and exploitable
• Become familiar with laws and regulations that are relevant to data science and governance.
• Integrate ethical and societal issues, such as privacy, liability, or human autonomy issues into decision making.
• Manage a data engineering project

Outline:

• Course Schedule:
• Format: Initial training
• Language: 100% English
• Duration: 1 year
• Structure:
• Back-to-school seminar (6h)
• Boarding for aivancity (48h)
• A one-week learning trip (30H)
• Tutorials: projects, pro thesis, and career (26H)
• Stage: 4 to 6 month – April to September
• Modules with Descriptions:
• Certificates :

Big Data

• Data analysis & visualization
• Big Data analytics
• Data mining
• Data Security
2.

Data Programming

• Cloud computing
• Advanced Excel for Data Analytics
• Algorithmics
• Python for big Data
• R for big Data

Data for Business analytics

• Business Intelligence and Data Management
• Business Analytics and Emerging Trends
• Customer/User Analytics
• Data-driven decision making
4.

Data engineering

• Hadoop & Spark
• Java & Scala
• Data Pipeline (XML, DTD, XLS, JSON)
• Advanced Data Security
5.

Project Management & Ethics

• Project Management: People and Technology
• DevOps
• Data Regulation & Law
• Ethics of Data

Careers:

• The job market is booming in these professions offering many opportunities in the Internet and software sector or in organizations wishing to exploit the potential of their data to create value as well as in the public sector or in research and development laboratories....

Tuition fees are defined for this year and include all study fees, including the international learning trip and the Guarantee of Updating the diploma for 5 years from the date of graduation. They do not include international living expenses (airfare, transportation, accommodation and meals). No fees for work-study students (tuition paid by the company) 12,500 if not eligible for alternated training program, with payment in 3 installments (€4,000 down payment on registration, €4,500 on September 30, €4,000 on January 30, 2024).