The Data Engineer expert is one of the most important job in the Big Data Industry
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.
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.
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).
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 AI 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.
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.
The DSTI bootCamp is a fundamental piece of preparation for your studies. As an integral part of the programmes, it prepares DSTI students to all the base knowledge in applied mathematics and IT for a smooth start. According to your profile, some parts may be known, but even then, we’ve have plenty of students’ feedback telling us how important it was to refresh former knowledge.
As a full-time student, you may not have time to attend it live as it’s delivered four weeks before the start of “Applied Mathematics” (a tradition at DSTI). But it’s recorded and available to unlimited replay. And SPOC students do not have this issue: they all start with the BootCamp!
Next dates : From Monday October 5th to Friday October 23rd 2020
All students will be assigned engineering projects included in the majority of the modules. 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.
Next entry: November 2nd 2020 DSTI offers to new candidates incentives to apply and commit early. The Early Bird is a waiver of the tuition fee for the Autumn 2020 entry. Two waivers are available to new candidates joining the full-time study mode.
Who is eligible? All eligible candidates applying to the on-campus or off-campus mode and admitted for our Autumn 2020 entry.
Waiver of 5% of the total tuition fee: Following the admission to the programme, candidates must pay the matriculation deposit before July 15th 2020 to qualify for the waiver.
Learn more about the application deadlines here
APPLICANTS WITH A 3-YEAR BA, BSC OR BENG DEGREE
1 year of work experience
APPLICANTS WITH A 4-YEAR BA, BSC-BENG OR MA-MSC-MENG DEGREE
No particular conditions*
APPLICANTS WITH A 5-YEAR MA? MSC-MENG OR CHARTERED ENGINEERS
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.
On-Campus students are strongly encouraged to choose the 6-month work placement option (805hrs, 35hrs/week) and immerse themselves into a data science industrial environment. Finding a work placement opportunity is a student’s responsibility. DSTI provides active help, advice and support throughout its industrial and academic partners network however.
Advanced Engineering Project - 540 HOURS
Online education students will be tutored by a DSTI Professor in selecting a data science engineering problem for a given industrial application and write an engineering proposal, covering state-of-the-art literature, to propose a solution. On-Campus students may also choose this engineering project as an alternative to a work placement.
* 540hrs is an evaluated time, which accounts for the 200hrs already spent during the classes time and equivalent to four months of legal full-time work in France (35hrs per week), of requirement commitment to perform the project.
“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 Engineeringfor 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