Licenciatura Aplicada en Ingeniería de Datos y Nube

Objectives of Applied Bachelor in Data & Cloud Engineering

The following are the major objectives of the Applied Bachelor in Data & Cloud Engineering program:

• Acquire expertise in information systems. Learn to design, maintain, and optimize these systems on cloud computing platforms and in hybrid environments.
• Master Software & Data Engineering. Develop skills to design and interact with various database types. Learn to design 'back-office' or 'backend' applications for handling large data, up to Big Data.
• Start a career in Cybersecurity. Learn Cybersecurity fundamentals to protect user systems. Understand threat identification, and security tools, and implement security measures.
• Get ready for professional certifications. Pass diverse professional certifications aligning skills and profiles with market needs.

The Applied Bachelor in Data and cloud Engineering offers promising prospects due to the rise of big data. Professionals skilled in constructing and maintaining data pipelines are sought after. Data engineers are needed in finance, healthcare, e-commerce, social media, and more. The US Bureau of Labour Statistics predicts an 11% job growth in data engineering by 2029.

Future Prospects

• € 28k Average exit salary
• Continue with our Applied MSc

Applied Bachelor in Data & Cloud Engineering students work as

• Data Engineer
• Big Data Engineer
• Data Warehouse Engineer
• ETL Developer
• Business Intelligence Developer
• Data Analyst
• Machine Learning Engineer

The curriculum of Applied Bachelor in Data & Cloud Engineering

First-year

• All courses are conducted in French. Students will learn the following.

Fondamentaux des systèmes informatiques (125h)

• Architecture des ordinateurs ainsi que leurs systèmes d’exploitation (25h)
• Introduction aux réseaux informatiques (25h)
• Introduction au ‘Cloud Computing’ avec AWS et Azure (75h avec certification)

Installation, configuration et exploitation des systèmes et solutions usuels (125h)

• Introduction aux différents Systèmes d’exploitations comme Windows, Linux et les différentes machine virtuelles (25h).
• Introduction au différents outils IT du web (25h)
• Introduction aux Systèmes de Gestion de Bases de Données Relationnelles (SGBDR) (25h)
• Introduction aux Systèmes et applicatifs pour la collaboration dans l’entreprise (50h)

Fondamentaux du Software & Data Engineering (125h)

• Harmonisation Mathématique (25h)
• Introduction à l’algorithmie et aux structures de données (50h)
• Mathématiques Appliquées de l’ingénierie (Niv 1) (25h)
• Introduction au « Modèle Relationnel et SQL (25h)

Entreprise et Société (175h)

• Expression et Communication (Français) (50h)
• Practical and Business English (Level 1) (50h)
• Préparation à la certification Microsoft Office Specialist: Associate (50h)
• Cycle Ateliers & Coaching Préparation à l’entrée sur le marché de l’emploi (25h)

Second Year

• The courses are partly delivered in French and English. The students will acquire the following knowledge.

IT Infrastructures (125h)

• Certification Preparation “Cisco Certified Network Associate” (CCNA) (50h)
• Certification Preparation “Amazon AWS Certified Solution Architect – Associate” (In English) (75h)

Operating Systems for Infrastructure as a Service (125h)

• Certification Preparation “Microsoft Certified: Windows Server Hybrid Administrator Associate” (50h)
• Certification Preparation “Linux Professional Institute (LPI) LPIC-1 & LPIC-2 ” (75h)

Software & Data Engineering (125h)

• Ecosystèmes de développement Enterprise (100h)
• Advanced SQL (25h)

Business and Society (175h)

• Practical and Business English (Level 2) (75h)
• Environnement économique et fonctionnement des organisations (25h)
• Ressources Humaines, Relations Sociales et droit du travail (25h)
• Comptabilité générale & analytique (50h)

Third Year

All courses are taught in English. The students will learn the following:

Cybersecurity of Hybrid Infrastructures (125h)

• Certification Preparation “Microsoft Certified: Azure Security Engineer Associate” (50h)
• Certification Preparation “Linux Professional Institute LPIC-3 Security” (75h)

Performance-Driven Systems (125h)

• The DevOps Philosophy & Toolkit (25h)
• DevOps & Continuous Integration (50h)
• Introduction à « Hadoop & Spark Ecosystems » (50h)

Data Engineering & AI (125h)

• Foundations of Statistical Analysis & Machine Learning (25h)
• Python for Data Engineering & AI development (50h)
• Web Technologies for Data-Centric Applications & Services (50h)

Organisations & Society (175h)

• IT Project Management (25h)
• Customer Relationship Management Theory & Systems (25h)
• Introduction to Digital Marketing and its Tools (25h)
• Commercial Law, Intellectual Property Law (25h)
• Ethics and law of data and artificial intelligence (25h)
• Cycle of Seminars "Creation of Value by the Company" (25h)

Technologies in Applied Bachelor in Data & Cloud Engineering

• Python
• AWS
• Microsoft Azure
• Microsoft Office
• Linux
• SQL
• Cisco CCNA
• Hadoop
• Spark

Programme Structure of Applied Bachelor in Data & Cloud Engineering

• DSTI provides an Applied Bachelor in Data & Cloud Engineering program that spans over 3 years equivalent to 180 ECTS.
• The first year of the course is delivered in French, providing students with 550 hours of teaching, 50 hours of support, and seminars to build a solid technical and theoretical base. Moreover, students undertake a 12-week internship, which aids their assimilation into the industry.
• The second year consists of 550 hours of teaching and 50 hours of support sessions and is taught in both French and English. The year offers an optional apprenticeship or end-of-year internship.
• The third and final year, with 550 hours of teaching and 50 hours of support sessions, is taught entirely in English and can only be completed in apprenticeship mode. The year focuses on enhancing students' practical skills and gaining real professional experience.