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Applied Bachelor in Data & Cloud Engineering

DSTI’s Applied Bachelor in Data & Cloud Engineering offers intensive three-year training in software engineering, analytics, machine learning, AI, cybersecurity and more. It equips students with key industry certifications and practical industry exposure through internships and apprenticeships.

Applied Bachelor in Data & Cloud Engineering

DSTI’s Applied Bachelor in Data & Cloud Engineering offers intensive three-year training in software engineering, analytics, machine learning, AI, cybersecurity and more. It equips students with key industry certifications and practical industry exposure through internships and apprenticeships.

Our programme has been awarded the Programme Launch Prize in the specialisation: Bachelor of Computer Science: Software Architecture & Complex Systems

Our programme has been awarded the Programme Launch Prize in the specialisation: Bachelor of Computer Science: Software Architecture & Complex Systems

Study Modes

We are accepting applications for Autumn 24 intake.

Application Deadline: 31 July 2024

Date of Commencement: 18 October 2024


As a front-runner in data and AI in France, DSTI offers an Applied Bachelor programme holding RNCP 6 accreditation. Our Applied MSc programmes hold RNCP 7 accreditation. Further, DSTI is recognised under the 3IA Cote d’Azur Label for extensive AI content and proudly possesses Qualiopi RNQ certification, affirming quality of our processes.

Objectives of Applied Bachelor in Data & Cloud Engineering

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

Acquire expertise in information systems.

Learn to design, maintain, and optimise 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, security tools, and implement security measures.

Get ready for professional certifications.

Pass diverse professional certifications aligning skills and profile with market needs.

Programme Structure

DSTI provides an Applied Bachelor in Data & Cloud Engineering program that spans over 3 years granting 180 ECTS.

First Year

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. 

Second Year

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.

Third Year

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.

Programme Features

First Year

550 hours of teaching 

Second Year

550 hours of teaching + optional apprenticeship or end-of-year internship

Third Year

550 hours of teaching + mandatory apprenticeship

Curriculum of Applied Bachelor in Data & Cloud Engineering

First year

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

  • 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)
  • 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)
  • 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)
  • 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.

  • Certification Preparation “Cisco Certified Network Associate” (CCNA) (50h)
  • Certification Preparation “Amazon AWS Certified Solution Architect – Associate” (In English) (75h)
  • Certification Preparation “Microsoft Certified: Windows Server Hybrid Administrator Associate” (50h)
  • Certification Preparation“Linux Professional Institute (LPI) LPIC-1 & LPIC-2 ” (75h)
  • Ecosystèmes de développement Enterprise (100h)
  • Advanced SQL (25h)
  • 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:

  • Certification Preparation “Microsoft Certified: Azure Security Engineer Associate” (50h)
  • Certification Preparation “Linux Professional Institute LPIC-3 Security” (75h)
  • The DevOps Philosophy & Toolkit (25h)
  • DevOps & Continuous Integration (50h)
  • Introduction à « Hadoop & Spark Ecosystems » (50h)
  • Foundations of Statistical Analysis & Machine learning (25h)
  • Python for Data Engineering & AI development (50h)
  • Web Technologies for Data-Centric Applications & Services (50h)
  • 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)


DSTI offers courses to prepare for eight international certifications, keeping up with data industry changes.

Technologies in Applied Bachelor in Data & Cloud Engineering

Resources for Applied Bachelor in Data & Cloud Engineering

AWS Educate, an initiative by Amazon Web Services (AWS), equips students and educators with valuable resources, training materials, and hands-on experience to foster the development of cloud computing skills and facilitate career readiness in the industry.

Azure for Education provides students with Microsoft software, developer tools, and cloud resources for learning and projects, including a $100 voucher.

Leveraging Hadoop and Spark for large-scale data processing, this cloud cluster operates at an enterprise-grade level, providing round-the-clock availability.

O’Reilly is a platform offering quality content for effective study. It features over 60,000 books, 30,000 hours of video, live events, and interactive labs covering cloud computing, software architecture, programming languages, machine learning, and more.

DSTI Learn offers students comprehensive access to their studies: notifications, schedules, courses, exams, live sessions, lecture recordings, and project submissions.

A resource that allows students to ask questions or seek assistance with academic, career, or administrative tasks. Students can also revisit the answers whenever necessary.

All DSTI students enjoy lifelong alumni email access and are given Microsoft Windows and Office 365 licenses during their studies.


The Applied Bachelor in Data & 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.

Career Opportunities


28k€ average exit salary

Applied MSc at DSTI

Postgraduate studies

Applied Bachelor in Data & Cloud Engineering students work as

  • Data / Big Data Developer
  • Cloud Computing Specialist
  • System Analyst
  • Cybersecurity Officer / Analyst
  • Back-end Software Developer
  • IT Operations Specialist


The admission procedure at the Data ScienceTech Institute (DSTI) is an inclusive endeavour that provides deserving candidates a fair chance. This outlined admission process applies to all study modes.

Eligibility for Applied Bachelor

To be considered for the DSTI’s Bachelor programme, candidates must meet the following criteria:

To be considered for admission in Applied Bachelor at Data ScienceTech Institute based on secondary education and baccalaureate results, students must meet the following criteria:

In the first year (Première)

For students enrolled in the General & Technological Baccalaureate Track during their first year (Première), we require an Annual Average Grade of 12/20 or above in each of the following subjects.

  • Scientific Teaching
  • French
  • History-Geography
  • English
In the final year (Terminale)

In the final year (Terminale), we require students to have average grades of 12/20 or above at the time of application and to maintain this standard upon obtaining their baccalaureate. Additionally, a minimum of two acceptable specialisations is required in each of the following tracks.

General Track
  • Mathematics
  • Physics-Chemistry
  • Digital and Computer Sciences
  • Engineering Sciences
  • Life and Earth Sciences
Technological Track

“Sciences and Technologies of Industry and Sustainable Development (STI2D)” series

  • Physics-Chemistry and Mathematics
  • Engineering, Innovation, and Sustainable Development


“Sciences and Technologies of the Laboratory (STL)” series

  • Physics-Chemistry and Mathematics
  • Biochemistry-Biology


“Sciences and Technologies of Design and Applied Arts (STD2A)” series

  • Physics-Chemistry
  • Digital Tools and Languages


The Professional Baccalaureate is generally not considered suitable for admission.

We will examine applications on a case-by-case basis, looking for equivalence to the criteria mentioned for secondary education in France.

In the case of Francophone countries that have retained, in their general tracks, the old ES, L, & S series, the scientific S track (regardless of the option) will be favoured, followed by the ES track with a mathematics option.

Prospective students are required to successfully pass an admission interview to be considered for acceptance into the Bachelor programme.

IT Requirements

Students at DSTI should have a Windows PC laptop, not Apple Mac, with these minimum specs:

At least Intel Core i5 (or AMD equivalent)

Minimum 8GB, but 16GB recommended

Minimum 512GB, 1TB recommended.

SSD preferred, but a dual-drive system with 128GB/256GB SSD + 512GB or 1TB magnetic drive is a good alternative.

If only magnetic, it must be at least 7200rpm, not 5400rpm.

NVIDIA preferred, but not essential.

Any Windows version.

DSTI will provide a Windows 10 Professional key when classes start.

Don’t purchase MS Office 365; DSTI will provide a license key when classes start.

Admission Process

The admission process of the Data ScienceTech Institute (DSTI) is a comprehensive exercise that offers an opportunity to all deserving candidates.

We recommend researching our Applied Bachelor programmes to find the right fit for you. An online consultation with our team can help with your decision and provide information on tuition fees.

Our online platform facilitates the application process, where we evaluate your suitability. Upload essential documents like ID, academic records, CV, and a cover letter.

If your application proceeds, we’ll arrange a 20-minute admission interview to gauge your suitability and interest in your chosen courses.

Upon concluding the admission process, you’ll receive your official admission decision.

Please refer to our detailed admission process for more information.

Tuition Fees for Applied Bachelor in Data & Cloud Engineering

Book One on One Online Meeting with DSTI

At DSTI, we provide one-on-one online meetings with prospective students. Here we answer all their questions regarding our Applied Bachelors and Applied MSc courses.

Join DSTI's Weekly Online Group Meetings (English)

At DSTI, we organize online group meetings where we share valuable information about our selection of Applied Bachelors and Applied MSc courses in data and AI.

Join DSTI's Weekly Online Group Meetings (in French)

DSTI organizes online group meetings to provide information about our range of Applied Bachelor and Applied MSc programs in data and AI.

Open House Sessions at DSTI Paris Campus

Every Wednesday from 2PM to 6PM CEST, DSTI’s Paris Campus hosts an open day for all, no appointment necessary. Inquiries regarding admission, courses or other related topics are welcomed. We are delighted to provide answers to your questions.

Want a career in data and AI? Download the DSTI’s Applied Bachelor in Data & Cloud Engineering Curriculum to find out how!

Explore careers in Data and AI on 29 May 2024.

Attend two seperate Open Day sessions: one in English and another in French.

  • On-Campus and Online Modes
  • Interactive Sessions on careers in data and AI.
  • Socialise with current and future students.
  • Know the Admissions Process.