Applied MSc in Data Engineering
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 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 (part-time).
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, SPARK or Microsoft Orleans;
- Discover the DevOps world and set up continuous integration architecture.
Infographic – Students Profile
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 differents 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.
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):
Data Management – 150hrs
Data Science – 100hrs
Distributed and Performance Programming – 100hrs
Operational Methodologies – 150hrs
Cloud & IT – 100hrs
* 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 2019 entry and are subject to change for future years. Tuition fees for the Autumn 2019 entry will be published in Spring 2019.
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.
On-campus, non-EU and mature students (>28 y/o) may be required by the French Government to pay an extra for the CVEC. This obligation and extra cost is only collected by DSTI on behalf of and for the French Government.
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.
“I apply notions from DSTI as statistics, coding (python), SQL, web semantic and deep learning. DSTI’s broad vision of data science helped me to have enough self-confidence to look for innovative way to response to the challenges.”
– Ali Kabbadj | Applied MSc in Data Science and AI | Data Scientist at Assystem Paris
“The MSc in Data Science is versatile enough to show us a wide range of paths to take afterwards. Now I am clear about which one to follow so I am focusing my efforts on that.”
– Raul Mora | Applied MSc in Data Science and AI | Student at DSTI Paris Campus