Studyportals
M.Sc. On Campus Online Blended

Data Engineering for Artificial Intelligence

Data ScienceTech Institute

12 months
Duration
14500 EUR/year
14500 EUR/year
Unknown
Tuition fee
Unknown
Apply date
Unknown
Start date

About

This Data Engineering for Artificial Intelligence programme at Data ScienceTech Institute, with its two entries in Autumn and Spring, is designed to open your career to these Big Data Engineering jobs all industries are looking for.

Overview

In this Data Engineering for Artificial Intelligence programme at Data ScienceTech Institute, you will:

  • Learn how to understand the analysis, design, implementation & monitoring of IT & Big Data architectures;
  • Leverage the most prevalent programming languages and their libraries for applied machine and deep learning;
  • Learn how to architect and deploy highly distributed data and computation clusters such as Hadoop or SPARK;
  • Discover the DevOps world and set up continuous integration architecture.
There is an important shortage of big data experts and companies in various sectors suffer from this. Data Engineering specialists are in high demand and enterprises know the real value of their roles. In France-Benelux, we have seen a big increase in the demand for skilled people in data engineering in both start-ups and world leading companies. For every data scientist there is a need for at least two experts in data engineering.

Accreditation

All DSTI's Applied MSc programme are RNCP (National Registry of Professional Certification) Level 7 accredited.

Programme Structure

IT Fundamentals
  • Amazon AWS "Cloud-Computing DSTI Chair (50 hrs) - 3 ECTS
  • Microsoft Azure (25 hrs) - 2 ECTS
  • Semantic Web Technologies for Data Science Developments (25 hrs) - 1 ECTS
Distributed & Performance Programming
  • Software Engineering Part 1 (25 hrs) - 1 ECTS
  • Software Engineering Part 2 (25 hrs) - 1ECTS
  • Java & Scala Programming (25 hrs) - 1 ECTS
Data management 
  • Data Wrangling with SQL (25 hrs) - 1 ECTS
  • NoSQL Databases (25 hrs) - 2 ECTS
  • Data Pipeline Part 1 (25 hrs) - 1 ECTS
  • Data Pipeline Part 2 (25 hrs) - 1 ECTS
  • Relational Databases Management Systems (25 hrs) - 1 ECTS
  • The Hadoop & Spark Ecosystem (50 hrs) - 3 ECTS
Operational Methodologies
  • Data Laws & Regulations - Philosophies, Geopolitics & Ethics (25hrs) - 1 ECTS
  • IT Project Management - PMP-PMI and Agile Approaches (25 hrs) - 1 ECTS
  • DevOps & Continuous Integration (50 hrs) - 2 ECTS
  • Analysis & Design of Information Systems (25 hrs) - 1 ECTS
  • Cybersecurity (25 hrs) - 1 ECTS
Data Science
  • Applied Mathematics for Data Science (25 hrs) - 1 ECTS
  • Foundations of Statistical Analysis & Machine Learning Part 1 (25 hrs) - 1 ECTS
  • R for Big Data (25 hrs) - 2 ECTS
  • Deep Learning with Python (25 hrs) - 2 ECTS

Key information

Duration

  • Full-time
    • 12 months

Start dates & application deadlines

Language

English

Credits

60 ECTS

Delivered

On Campus, Blended, Online

Academic requirements

We are not aware of any academic requirements for this programme.

English requirements

We are not aware of any English requirements for this programme.

Other requirements

General requirements

  • You will need to provide the usual registry data: your CV and a cover letter.
  • Your English proficiency will be assessed by your understanding during the admission interview. You are also free and welcome to provide any English proficiency test that you may have taken.
  • You may also submit as many recommendation letters as you wish to.

Tuition Fee

To alway see correct tuition fees
  • International

    14500 EUR/year
    Tuition Fee
    Based on the tuition of 14500 EUR per year during 12 months.
  • EU/EEA

    14500 EUR/year
    Tuition Fee
    Based on the tuition of 14500 EUR per year during 12 months.

Living costs for Nice

917 - 1374 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.

Due for update

Updated over a year ago

Check the official programme website for potential updates.

Our partners

Data Engineering for Artificial Intelligence
-
Data ScienceTech Institute

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