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Data ScienceTech Institute

Data ScienceTech Institute

Data ScienceTech Institute

Introduction

Data ScienceTech Institute

At the Data ScienceTech Institute (DSTI), our speciality is top-notch STEM education, with a spotlight on data science and artificial intelligence (AI). Established in 2015, our aim is to mould future data experts, fully prepped to tackle the challenges of the digital age.

We strongly believe that the key to success in the data sector is a deep understanding of scientific and mathematical concepts, combined with ample practical technological experience. Consequently, our curriculum is tough, yet immensely hands-on.

Our teaching staff comprises esteemed academics from fields like applied mathematics, computer science, computer engineering, electronics, economics, and law. Additionally, experienced industry professionals join them. Together, they strive to share their expertise with our students, offering necessary guidance and support for their triumph. This blend of skills, techniques, and technologies reflects the complex nature of all data-focused roles.

Flexible Applied Bachelor and Applied MSc Programmes

DSTI offers diverse programmes to accommodate students from all walks of life. Attend classes in person, online, or at your own pace for unmatched flexibility. We even provide tailored programmes for working professionals to align with their career goals.

DSTI offers industry-relevant programmes in Data and AI.

  • Applied Bachelor in Data & Cloud Engineering
  • Applied MSC in Data Analytics
  • Applied MSc in Data Engineering for AI
  • Applied MSc in Data Science and AI

A programme for everyone

Data ScienceTech Institute (DSTI) welcomes students from diverse backgrounds with varying levels of experience.

Study Modes

Initial Education

For high school or university graduates | Under the age of 30 | Begin career in data

  1. Full-time Applied Bachelor
    "I'm a high school graduate eager to explore the data world."
    On-Campus | 3 years | RNCP 6

  2. Full-time Applied MSc
    "I have a bachelor and wish to start a career in data."
    On-Campus | Online | 2 years | RNCP 7

  3. Part-Time Apprenticeship (check conditions before applications)
    “I wish to work while pursuing education.”
    On-Campus | Online for Applied MSc | 2 years | Not for international students

Continuing Education

For working professionals | About 30 years of age or more | Looking for a career change

  1. Blended Learning – Accelerated
    "I have a bachelor's degree and professional experience."
    On-Campus | Online | 9 months | RNCP 7

  2. Blended Learning – Self-Paced Online Course (SPOC)
    "I want to pursue the Applied MSc course part-time and continue my current work."
    Asynchronous | 15 to 36 months | RNCP 7

  3. Part Time Sandwich (check conditions before applications)
    “I aspire to gain practical experience while studying.”
    On-Campus | Online | 2 years | RNCP 7 |Not for international applicants

Certifying Professional Training & Development Courses

“I am already working in Technology and wish to upskill.”
For working professionals | Looking for upskillingExecutive Education
On-Campus | Online | Asynchronous | Customised time-period | ECTS credits on conditions

Campus Features

Our Nice Sophia-Antipolis and Paris campuses boast top-tier facilities and resources, fostering student success. We provide access to the latest data science tools and technologies. Additionally, we extend career support services including job search help, interview guidance, and networking chances. With a proud history of graduates landing top data science roles, we remain dedicated to aiding our students in achieving their career goals.

    Admissions

    Locations

    • Biot

      Data ScienceTech Institute Les Templiers 950 Route des Colles Sophia-Antipolis, 06410, Biot

    • Paris

      Data ScienceTech Institute 4, Rue de la Collégiale, 75005, Paris

    • Paris

      Rue de la Collégiale,4, 75005, Paris

      • Buona Vista area

        950 Route des Colles, 06410, Buona Vista area

      Questions