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Applied MSc in Data Science and AI, M.Sc.

  • Application Deadline
  • 12 months
    Duration
Nice, France | Paris, France| Online
This 6-month of classes and 6-month internship Applied MSc programme, with its two entries in Autumn and Spring, is designed to open your career to these Big Data Analytics jobs all industries are looking for. Classes are given in English from the:End of September to beginning of April for the Autumn entry;Beginning of March to mid-October for the Spring entry;
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Overview

This 6-month of classes and 6-month internship Applied MSc programme, with its two entries in Autumn and Spring, is designed to open your career to these Big Data Analytics jobs all industries are looking for.

And in France, it definitely makes Data Science “the sexiest job of the XXIth century”! (Harvard Business Review, Oct. 2012)

DSTI is proud of its Applied MSc in Data Science & Artifical Intelligence and Applied MSc in Data Engineering for Artificial Intelligence to have been fully accredited at Master’s level by the French Government via the RNCP mechanism.

The RNCP “Répertoire National des Certifications Professionnelles” is a government recognition mechanism dedicated to scrutinising programmes’ suitability for the job market. A RNCP title rewards specific needs in terms of skills and knowledge transfer for immediate employability, which is the heart of DSTI philosophy.

Once our students complete their studies and professional experience, their achievements will be assessed by our Graduation Committee. If successful, they will be able to obtain the degree “Expert en Sciences des Données” (Expert in Data Sciences).

Moreover, students who successfully complete our programmes will also receive a degree from DSTI, certifying the completion of the academic curriculum and granting 60 ECTS credits at Master level, providing they’ve earned a bachelor’s degree (or equivalent) beforehand

The degree is registered in the French national register of professional qualifications (RNCP), which lists all diplomas, degrees and professional titles recognised by the French state. The qualification is recognised as a degree at Master level (level 7 of the European qualifications Framework – EQF). This would allow students to continue their studies in PhD if they choose so.

Classes are given in English from the:

  • End of September to beginning of April for the Autumn entry;
  • Beginning of March to mid-October for the Spring entry;

on a full-time basis (5 hours/day) along with “Engineering Projects” (see below) and followed by a 6-month work placement.

In this Applied MSc programme, you will:

  • Learn how to understand the analysis, design, implementation & monitoring of IT & Big Data architectures;
  • Get familiar with machine and deep learning algorithms with an industrial approach to applied mathematics;
  • Learn how to deploy Big Data architectures and Machine Learning results into corporate systems and get familiar with data visualisation;
  • Get awareness of the legal consequences of data handling, with a pinch of ethical thinking regarding the consequences of mining (big) data.
  • Be trained to and take two Enterprise-Level Certifications examinations:
    • Amazon AWS *Cloud-Computing DSTI Chair*Preparation for AWS Certified Solutions Architect – Associate
    • SAS Institute *The SAS ecosystem DSTI Chair*Preparation for SAS Certified Predictive Modeler Using SAS Enterprise Miner 14

Classes for this Applied MSc programme are offered on a full-time basis from Data ScienceTech Institute campuses (around 5hrs a day).

If you are currently in employment and/or can benefit from third-party financing due to lifelong education rights, please get in touch with us to check what could be organised.We are kindly reminding you that our Applied MSc programme is delivered in full-time only. As such, you must be available to follow all classes and projects.Should you be looking for a part-time programme allowing you to work and study, make sure to check the SPOC MSc in Applied Data Science & Big Data page.

Accreditation

DSTI is proud of its Applied MSc in Data Science & Artifical Intelligence and Applied MSc in Data Engineering for Artificial Intelligence to have been fully accredited at Master’s level by the French Government via the RNCP mechanism.

The RNCP “Répertoire National des Certifications Professionnelles” is a government recognition mechanism dedicated to scrutinising programmes’ suitability for the job market. A RNCP title rewards specific needs in terms of skills and knowledge transfer for immediate employability, which is the heart of DSTI philosophy.

Once our students complete their studies and professional experience, their achievements will be assessed by our Graduation Committee. If successful, they will be able to obtain the degree “Expert en Sciences des Données” (Expert in Data Sciences).

Moreover, students who successfully complete our programmes will also receive a degree from DSTI, certifying the completion of the academic curriculum and granting 60 ECTS credits at Master level, providing they’ve earned a bachelor’s degree (or equivalent) beforehand

The degree is registered in the French national register of professional qualifications (RNCP), which lists all diplomas, degrees and professional titles recognised by the French state. The qualification is recognised as a degree at Master level (level 7 of the European qualifications Framework – EQF). This would allow students to continue their studies in PhD if they choose so.

Programme Structure

Information Systems: 150hrs

  • Amazon AWS Preparation for AWS Certified Solutions Architect – Associate
  • Analysis and Design of Information Systems
  • Data Wrangling backed with MS SQL Server
  • Integrating Semantic Web technologies in Data Science developments
Applied Data Science & Big Data: 300hrsBusiness & Industrial Applications: 125hrs
  • Time-Series Analysis using SAS
  • Survival Analysis using R
  • IT Project Management: PMP-PMI and Agile Approaches
  • Agent-Based Modelling for population behaviour
  • Modelling complex and chaotic economic systems with System Dynamics
Ethics & Law: 25hrs
  • Data ownership and protection laws and regulation
  • Applied Mathematics for Data Science
  • Algorithmics for Data Science – Optimisation
  • Foundations of Statistical Analysis and Machine Learning
  • Advanced Statistical Analysis and Machine Learning
  • Artificial Neural Network and introduction to Deep Learning
  • SAS - Preparation for SAS Certified Predictive Modeler certification
  • The Hadoop & SPARK ecosystem

Lecturers

Our faculty is composed of a mix of academics, chosen for their applied research efforts with industrial partners, and professional experts with teaching experience.

Each faculty member is approved by our Scientific Advisory Board but also evaluated by our students at the end of each course.

Detailed Programme Facts

  • Programme intensity Full-time
    • Full-time duration 12 months
  • Credits
    60 ECTS
  • Languages
    • English
  • Delivery mode
    On Campus, Blended, Online

English Language Requirements

This programme may require students to demonstrate proficiency in English.

General Requirements

Applicants with a 3-year BA, BSc or BEng degree:

3 years of work experience

Applicants with a 4-year BA, BSc-BEng or MA-MSc-MEng degree:

Work experience

Applicants with a 5-year MA, MSc – MEng or Chartered Engineers:

No particular conditions

Tuition Fee

  • International

    14500 EUR/year
    Tuition Fee
    Based on the original amount of 14500 EUR per year and a duration of 12 months.
  • EU/EEA

    14500 EUR/year
    Tuition Fee
    Based on the original amount of 14500 EUR per year and a duration of 12 months.
We've labeled the tuition fee that applies to you because we think you are from and prefer over other currencies.

Living costs

  • Nice, France

    917 - 1380 EUR/month
    Living Costs
  • Paris, France

    1195 - 1780 EUR/month
    Living Costs

The living costs include the total expenses per month, covering accommodation, public transportation, utilities (electricity, internet), books and groceries.

Funding

Studyportals Tip: Students can search online for independent or external scholarships that can help fund their studies. Check the scholarships to see whether you are eligible to apply. Many scholarships are either merit-based or needs-based.

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