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Students
Tuition Fee
EUR 12,500
Per semester
Start Date
Medium of studying
Blended
Duration
2 years
Program Facts
Program Details
Degree
Masters
Major
Cloud Computing | Data Management
Area of study
Information and Communication Technologies
Education type
Blended
Timing
Full time
Course Language
English
Tuition Fee
Average International Tuition Fee
EUR 12,500
Intakes
Program start dateApplication deadline
2024-11-01-
About Program

Program Overview


MSc Data Engineering & Cloud Computing

Presentation

Data professions are the top of the list professions that will evolve the most in the coming years, according to the World Economic Forum’s « Future of Jobs Report 2020 » to a LinkedIn study in November 2020.


Based on a pedagogical approach combining multi-disciplinary teaching, projects and feedback, 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 now have no choice but to think about and implement solutions capable of addressing the issues linked to this megadata, described as «fuel» or «black gold» because its value feeds the digital economy.


Moreover, the importance of data is not confined to the business world. Public organizations, scientific research, NGOs, local authorities and Smart Cities are also concerned.


The aim of the MSc Data Engineering and Cloud Computing is to train students to become experts in data management and to master the complete data engineering cycle: acquisition, architecture, storage, cleansing, pipeline, security, structuring, analysis and visualization.


The program is both technical (Cloud Computing, Programming, Database Management) and theoretical (Distributed Algorithms, Machine Learning, Distributed Database Theory). This dual approach means you’ll be able to use the most common and effective tools while understanding the fundamentals of their mechanisms, so you can use them under the best conditions and configure them quickly. What’s more, learning about different tools and their principles enables students to learn how to adapt to different technologies and quickly become efficient on any such tool.


The first year consolidates mastery of a data-driven project. An MSc DE1 student will be able to set up a project and propose robust architecture for projects handling reasonable volumes of data (use of centralized databases). Some high-volume computing techniques are presented. The second year specializes in the processing of massive data (known as Big Data). From storage to analysis, this year provides expertise in the management of massive data projects. Different types of Clouds are presented (AWS and Azure), as well as NoSQL databases.


Cursus

Year 1 (60 ECTS CREDITS)

  • Bloc 1: Data anlytics & programming
    • Data Project Modeling and Design
    • Advanced Relational DataBases
    • Data Analysis and visualisation
  • Bloc 2: Distributed Data Systems
    • Distributed Algorithms
    • Cloud Environment with Azure
  • Bloc 3: Data Computing
    • Project Management
    • Cloud Computing on AWS
    • Machine Learning
  • Bloc 4: Data Driven Strategy
    • Web Security
    • Data Laws & Regulations

Year 2 (60 ECTS CREDITS)

  • Bloc 1: Big Data Management
    • Theory of the Big Data Scala Programming
    • Big Data In Practice: HDFS & Spark
  • Bloc 2: Large Scale Data Services
    • Cloud Engineering on GCP Data Pipeline
  • Bloc 3: Cloud Innovations
    • NoSQL Data Bases
    • Intelligent Engineering
    • Data Security & Cryptography
  • Bloc 4: Cloud Data & Society
    • Green Computing
    • Ethics of Data
    • Data Governance

Careers

  • Data Engineer
  • Data Architect
  • Big Data consultant
  • Head of Data (in a private company or public body)

Admission

  • Entry level: 4-year bachelor degree
  • Language: French/English
  • Diploma issued: Master of Science Data Engineering & Cloud Computing (RNCP level 7 - Bac + 5/6)
  • Next classes: November, 2024 (2 academic years)

Tuition fees/Funding

  • No fees for students on apprenticeship or professionalization contracts (tuition fees paid by the company)
  • 12,500 € student is not eligible for work-study program with payment in 2 installments (€4,000 down payment on registration, €8,500 on September 30)

Format

  • Back-to-school seminar
  • Boarding for aivancity
  • 1 certification per year from among market-recognized certifications (AWS, Microsoft Azure, ...)
  • Optional one-week learning trip at additional cost
  • Tutorials: projects, pro thesis and career
  • 2-year sandwich course
  • November to November: 3 weeks on the job and 1 week of classes or AI Clinic

Type

  • Initial training or work-study (apprenticeship or professionalization contract or alternative training course)

Learning Goals

  • 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.
  • Master the Cloud ecosystem
  • Identify patterns and gather insights from large and complex data sets
  • Gain an in-depth understanding of Big Data foundations, methods and technologies
  • Design and maintain a platform for processing large volumes of data
  • Design a data warehouse and processing infrastructure
  • Know how to use 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.
  • Manage a data engineering project
  • Familiarize yourself with the laws and regulations that are relevant to data science and governance
  • Integrate ethical and societal issues, such as questions of privacy, responsibility or human autonomy in decision-making

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: 97%
  • Graduation presentation rate: 100%
  • Graduation success rate: 100%

Employment Statistics for the 2023 Graduating Class

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

The guarantee of the diploma lifetime update

aivancity is committed to offering its graduates a set of services enabling them to adapt their skills to the evolution of the fields covered by artificial intelligence and data science. Graduates of the MSc Data Engineering Program receive this Guarantee for 5 years at no charge.


SHOW MORE
About University


Overview:

aivancity School for Technology, Business & Society, Paris - Cachan is a Grande Ecole specializing in Artificial Intelligence (AI) and Data Science. It is a relatively new institution, founded in 2020, and has quickly gained recognition for its innovative approach to education.


Services Offered:

aivancity offers a range of services to its students, including:

    Academic Programs:

    aivancity provides a variety of academic programs, including a Grande Ecole program, Bachelor of Science in Applied AI, and various Master of Science programs in Data Engineering, Data Management, and AI for Business.

    Executive Education:

    aivancity offers professional development programs for individuals and businesses, including certificates, short programs, and customized programs.

    International Opportunities:

    aivancity provides opportunities for international study and exchange programs.

    Financial Aid:

    aivancity offers scholarships and financial aid to eligible students.

    Career Services:

    aivancity provides career guidance and support to help students find jobs in the AI and data science fields.

Student Life and Campus Experience:


Key Reasons to Study There:

    State-Recognized and Accredited:

    aivancity is recognized by the French Ministry of Higher Education and Research, ensuring the quality of its programs.

    Hybrid Approach:

    aivancity's curriculum combines AI, business management, and ethics, providing a well-rounded education for students.

    Industry Partnerships:

    aivancity has strong partnerships with leading companies in the AI and data science fields, providing students with valuable industry connections and opportunities.

    Focus on Employability:

    aivancity's programs are designed to prepare students for successful careers in the AI and data science fields.

    Innovative Pedagogy:

    aivancity utilizes innovative teaching methods, including hybrid learning, project-based learning, and real-world case studies.

Academic Programs:

aivancity offers a variety of academic programs, including:

    Grande Ecole Program (MSc Artificial Intelligence & Data Science):

    This program provides a comprehensive education in AI and data science, with a focus on both technical skills and business acumen.

    Bachelor of Science in Applied AI:

    This program prepares students for careers as AI developers.

    Master of Science in Data Engineering & Cloud Computing:

    This program focuses on the technical aspects of data engineering and cloud computing.

    Master of Science in Data Management:

    This program focuses on the management and analysis of large datasets.

    Master of Science in Artificial Intelligence for Business:

    This program prepares students for careers in business applications of AI.

Other:

aivancity is committed to ethical AI development and has a strong focus on social responsibility. The institution is also actively involved in research and innovation in the field of AI.

Total programs
15
Location
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