The Data Engineer expert is one of the most important job in the Big Data Industry
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.
A data engineer role is a highly technical position and requires skills such as programming, mathematics and computer science.
Data engineering experts are rare and in greater demand than data scientists.
“Data is the energy that powers the digital transformation. The developers consume it in their applications. Data Analysts search, query and share it. Data Scientists feed their algorithms with it. Data Engineers are responsible for setting up the value chain that includes the collection, cleaning, enrichment and provision of data. Some of the Data Engineers’ missions are to manage scalability, ensure data security and integrity, be fault-tolerant, manipulate batch or streaming data, validate schemas, publish APIs, select formats, models and databases appropriated to their exhibitions. From this work, flow the trust and success of those who consume and exploit the data.” – David Worms, CEO of Adaltas
“And while the Harvard Business Review may have declared: Data Scientist: The Sexiest Job of the 21st Century, it is the data engineering team that allows them to shine.” – Bill Schmarzo, CTO, IoT & Analytics Hitachi Vantara
In Europe, we report a Mid-Level average salary between € 59 000 and € 83 000. The average salary for the Director of the Data engineering department varies between € 100 000 and € 174 000. Salaries depends on experience, skills, and location. Learn more here.
This 6 months of classes and 6-month internship Applied MSc 1 programme, 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.
Classes for this Applied MSc programme are offered on a full-time basis from DSTI campuses (around 5hrs a day), Online or in SPOC mode (self-paced online course and montlhy intakes).
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” 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;
- 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.
Infographic – Students Profile
1 Once your studies and professional experience are completed, your achievements will be assessed by our Graduation Committee. If successful, you will be able to obtain the degree “Expert en Sciences des Données” (Expert in Data Science). DSTI is proud of its Applied MSc in Data Science & AI and Applied MSc in Data Engineering for Big Data 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 work market. A RNCP title rewards specific needs in terms of skills and knowledge transfer for immediate employability, which is the heart of DSTI philosophy.
The Applied Bootcamp
Data ScienceTech Institute is offering all future students a Bootcamp to get you up to speed on skills required to start leveraging the different topics of our Applied programmes. This Applied Bootcamp lasts 10 days (50 hours of classes) and can be followed On-Campus and Online.
This is not mandatory but it is a good preparation to start the programme the best possible way.
Next dates: From Monday February 3rd to the 14th, 2020
Discover the Bootcamp programme for the Spring 2020 intake !
Core Courses – 800 hours – 60 ECTS
This Applied MSc programme programme is composed of all the following modules*, which are actual hours of class presence (personal work is expected on top of these):
* Please note that course content and support technologies may vary when delivered according to job market needs and under the supervision of Data ScienceTech Institute Scientific Advisory Board.
** Provided you are not subject to any Sanction Programmes of the United States of America which would affect your rights to take these classes and/or examinations.
Engineering Projects – 200hrs
All students will be assigned engineering projects attached to courses of programme. Students will conduct projects throughout the year until their classes finish and they go to their work placement . These Engineering Projects aim to apply all the knowledge and skills acquired in the different classes and to use DSTI professors as mentors and coaches throughout the year. Some of these projects may come from applied research work done by our Professors affiliated to a research lab.
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The following tuition fees are expressed exclusive of any taxes & are in effect for the Spring 2020 entry and are subject to change for future years.
Off-campus students tuition fees may be subject to the local taxes of your country of residence. On-Campus self-funded students are normally exempt of French/EU VAT collection.
In any case, please get in touch with us to check which scenario applies.
Tuition fees for the Spring 2020 intake:
*The following tuition fees apply only to students living outside of France. Online Education students living in France are considered “On-Campus” and therefore the “On-Campus” tuition fees apply.
**The VAT applies to students living in France.
On Campus students, whose registration fees are not covered by a third party organisation, must pay the CVEC student tax (90€). In addition, students who are not yet registered for social security can register online for student social security on the Ameli website. European students will be required to provide the membership number on their European Health Insurance Card.
Once admitted, you will be required to pay 10% of the programme fees for On-Campus students and 20% for Online Education in order to secure your enrolment (wire transfer, debit/credit card).
The tuition Fees are paid in 3 instalments, every two months in advance (w/exc. of the initial 10% (on-campus) or 20% (off-campus) down payment for securing your enrolment).
Should an employer be willing to sponsor your Applied MSc matriculation during a sabbatical, we would deal directly with your HR department regarding the fees proportion eligible to be covered in lieu. Please note that French/EU VAT collection may apply to fees paid by your sponsor
Once the classes are finished, our Applied MSc students can choose between going for a work placement or working on an advanced engineering project and dissertation. DSTI strongly encourages On-Campus students towards industrial placement and advanced engineering projects for online education students ones.
The online career platform allows each student and alumni to have the necessary tools to boost their career in the data field. Students will be able to find internships and job opportunities through a personalized profile. They will access exclusive opportunities across Europe.
“DSTI’s Applied MSc in Data Engineering for Artificial Intelligence programme fills all the gaps perfectly. It is a compact, specially designed to meet the growing demand of big data engineers.”
– Vipin Kumar | Applied MSc in Data Engineering for AI
“DSTI’s course and syllabus are continuously evolving according to the needs of the industry and the school makes sure that its students receive the best of the knowledge in the field of analytics that makes them highly employable.”
– Vishnu Indramohan | Data Scientist at Facebook Dublin