Applied MSc in Data Engineering
Nice Sophia-Antipolis Campus – Paris Campus
*On-Campus self-funded students are normally exempt of French/EU VAT collection
**Off-Campus fees are exclusive of any local taxes (e.g. VAT, Sales Tax, etc.) which may apply in the students’ country of residence
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.
- 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;
- 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;
- Be trained to and take two Enterprise-Level Certification examination:
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 our SPOC MSc in Applied Data Science & Big Data page.
As a DSTI Applied MSc student and upon completion of the programme (600 hours + Engineering Projects + Work Placement + Industrial Certifications), you may wish to continue your specialisation studies. In this case and upon graduation, you will have the opportunity to join our Advanced MSc in Artificial Intelligence programme.
MSc tuition cycle
2 Enterprise-Level Certifications
Cloudera Certified Data Engineer
Preparation for Cloudera Certified Data Engineer
Amazon AWS *Cloud-Computing DSTI Chair*
Preparation for AWS Certified Solutions Architect – Associate
DSTI Student’s Testimonials
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.
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.
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.
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.
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.
The following tuition fees are expressed exclusive of any taxes & are in effect for the Autumn 2018 entry and are subject to change for future years. Tuition fees for the Spring 2019 entry will be published in Autumn 2018.
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.
|Applied MSc in Data Engineering||Entry||Tuition Fees (exclusive of any potential taxes)|
|ON-CAMPUS STUDENTS||Autumn 2018||13,500€|
|ONLINE STUDENTS||Autumn 2018||7,500€|
|SPOC STUDENTS||Autumn 2018||13,500€|
When on-campus, non-EU and mature students (>28 y/o) may be required by the French Government to pay an extra 250€ for gaining medical coverage (social security). 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).
This payment can only be refunded in case of exceptional circumstances for not enrolling the programme: visa not issued for international students or proven sudden change of financial situation. Any refund due to visa refusal is exempt if the refusal if due to financial reasons / insufficient funding.
The remaining fees can then be arranged in up to 6 monthly in advance instalments throughout the programme.
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.
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
Applicants with a 5-year
MA, MSc – MEng or Chartered Engineers
No particular conditions