General Information

Data ScienceTech Institute (DSTI) is a private higher education institution, with dual status as a vocational training institution (registered with DIRECCTE 93.06.08153.06, the French Ministry of Work) and private higher education (registered with the Rectorats de Nice under The UAI 062136P and of Paris under the UAI 0755832G).

The School opened its doors in 2015. Data ScienceTech Institute’s ambition is to provide data processing specialists to the industry: data scientists, data analysts, data engineers. These profiles are severely lacking in the labor market and are therefore highly sought after. The School responds to the growing demand for high-tech scientific and technological skills.

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 Analytics, 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.

Our students who successfully complete our programmes will also receive a degree from DSTI, certifying the completion of the academic curriculum and granting 60 ECTS credits at Master level, providing they’ve earned a bachelor’s degree beforehand.

In the Applied MSc in Data Analytics, two certifications are compulsory:

In the Applied MSc in Data Science and AI, two certifications are required:

In the Applied MSc in Data Engineering for AI programme, two certifications are required:

Students are prepared by professionals to pass these certifications. They are compulsory and the School will help towards the necessary registration fees.

Data ScienceTech Institute regularly organises open days. We invite you to attend a full day class so you can put yourself in the shoes of a DSTI student. We also organise conferences, breakfasts and other professional events around Data Science. Check out our events page.

They are virtually limitless since all organisations need expertise in the Data Science field. Also, in spite of the youth of the School, all our students have found industrial placements very easily.

Indeed, the intensive aspect of our programmes allows the students of DSTI to be trained on a wide spectrum of skills necessary for the different professions in data science. This allows each student to naturally specialise according to his or her skills and abilities in particular fields.

Our various partner companies are all active in the life of the institute and contribute to it in many ways. Generally, companies provide us with hardware resources (computing power, servers), software (licenses) or human resources (professional lecturers).

DSTI’s partners

In addition, the partners most involved in the life of the institute sit on the Scientific Advisory Board in order to guide the content of the programmes according to the needs of the job market.

The DSTI Scientific Advisory Board


Admission / Registration

As the courses are taught entirely in English, a good level of English (written and oral) is necessary in order to become a student at DSTI. Moreover, as all of the students are international, the social life of the institute is also in English.

Please see the different deadlines for applying for Spring or Autumn on the following page.

The admission process can only be done online.

First of all, you can submit your application online via our website.

The eligibility of your application is then evaluated knowing that you can be contacted for additional information.

If your eligibility is validated, you will be invited to an interview in English (which can be done via Skype) after which you will get the final answer within 72 hours.

Admission interviews are conducted in English in two parts, one focuses on your personal profile and the other on your technical skills. They can take place on one of the two campuses (Sophia-Antipolis or Paris), or via Skype if you can’t be present. Thanks to our distance tools.

The following tuition fees are for the academic year of Autumn 2020 and will be subject to change for the next academic year.

Once you are admitted, you will need to pay a deposit.

For the on-campus and online modes, tuition fees are payed in three installments in a period of four months.
For the SPOC mode, tuition fees are payed in three installments in a period of eleven months.
Students can pay by wire transfer or through our online payment system.

For the Applied MSc in Data Analytics

Autumn 2020 Entry:

  • On-Campus & SPOC: 9 500€
  • Off-Campus (living in France): 8 550€*
  • Off-Campus (living outside of France): 7 500€

For the Applied MSc in Data Science and AI

Autumn 2020 Entry:

  • On-Campus: 14 500€
  • Off-campus (living in France): 13 050€
  • Off-Campus (living outside of France): 8 700€
  • SPOC mode: 14 500€

For the Applied MSc in Data Engineering for AI

Autumn 2020 Entry:

  • On-Campus: 14 500€
  • Off-campus (living in France): 13 050€
  • Off-Campus: 8 700€
  • SPOC mode: 14 500€

Several ways can help you finance your DSTI training. Many banks offer student loans in advance of your training. Also if you are registered unemployed, job-seeker, your unemployment office can also help you with tuition fees. In addition, a 6-month internship is integrated into the training, during which our students are offered internship remuneration generally well beyond the legal minimum, which allows you to absorb some of the tuition fees. In some cases, you may also receive support (total or partial) from your employer, particularly in the context of retraining.

Registration for Data ScienceTech Institute is only done online through our website; the procedure is the same if you are abroad.


DSTI is an industry-focused school and we need to keep our cohort size small in order to maximize practical participation.

Read our Infographic on our student profiles

The course lasts three or six months depending on the course you choose plus six months of training. The Applied MSc in Data Analytics, Applied MSc in Data Science and AI and Applied MSc in Data Engineering for AI requires six months of courses.

DSTI’s Applied MSc Programmes are built around four main areas: computer science, applied mathematics, business applications and ethics/law. The intensive programmes (400 hours per quarter) include plenty of practical work. You will also be prepared to take two professional certification exams per programme.

Discover the 10 reasons to choose DSTI

All classes are delivered in the language of Shakespeare. Life in the School also happens in English with more than thirty nationalities including students and DSTI teachers.

No. The training is identical as the classes take place at the same time. Thanks to our tele-teaching tools.

Yes, the flexibility at DSTI allows students to change campuses whenever they want. You can, for example, spend the first 3 months on the Paris campus, then the next 3 months on the Sophia-Antipolis campus. You can also visit your colleagues from another campus for a week.

There is no difference between the two entries, the programmes are identical.

On average, we try to maintain a rhythm of 5 hours of classes per day, so 25 hours per week.

The modalities of evaluation depend on the modules, the teachers and the nature of the content taught. The more scientific modules (Mathematics and Statistics) require a classical knowledge test (examinations). However, the majority of the modules are evaluated via the submission of the different projects during the course.

It should be noted that the modules preparing for compulsory professional certifications do not have further evaluations. The certification exam is the only assessment.

As the evaluation procedures are under continuous assessment, any catch-ups are at the discretion of the school’s teachers and management.

A full-time job on the basis of 35h per week represents 1,587h per year. It would be unreasonable to add 400 hours of high-level higher education plus personal work in a space of 3 to 9 months. However, we do have a part-time online course over 18 months that might suit you better if you wish to continue working as well as study. Please see the SPOC page.

Yes, the DSTI has a Learning Management System (LMS) with the Moodle platform. The structure of the teaching is replicated on this platform and students have access to all the teaching materials (PDF version of the digital tables, data sets and course materials, course recordings, etc.), but also to the schedules, assignments and a communication system between students and teachers.

Yes, all the classes are recorded and are made available to students to review or catch up with a class. We need to point out that the recordings are available for teaching support but under no circumstances are to be used to follow a programme in the form of MOOC.

*Unless you are following the 18 month part-time SPOC programme, in which case the recordings allow you to follow the course and work at the same time.


There is a 6-month internship for each programme.

Yes. Please note that the geographical location of your internship does not matter. The internship agreement is in French and needs to be signed by DSTI. Therefore, French laws apply to employers: any placement of more than two months must be remunerated.

Yes, the support of the school is assured for the search of internships. In addition, all internship offers received by the school are shared with the students.

Yes, any professional activity (internship, short-term contracts, permanent contracts, entrepreneurship, etc.) that validates the learning outcomes by applying the knowledge provided is accepted.

The internship must last 6 months. In line with its founding philosophy, DSTI respects the industry requirements of the employer for the evaluation of the internship and does not impose a report in a given format. The school may also sign confidentiality agreements review of the work produced requires it.

Off-campus mode (online education)

This programme is for students who live outside metropolitan France and cannot come to study in France.

It is also accessible to students living in France and Monaco who cannot visit one of our two campuses. It should be noted that in this case, the on-campus tuition fee rate applies. You will be considered as an on-campus student and will benefit from our support in finding industrial placement and you will also have the opportunity to attend classes in one of the campuses at any time.

The content of the program is exactly the same as for on-campus students. Off-campus students follow the same courses and are subject to the same attendance and evaluation requirements.

There are differences which are not pedagogical but practical. Being on-campus facilitates many things like group work and coherence of the cohort.

The evaluation methods are the same as for on-campus students. Off-campus students are subject to the same evaluation procedures including for examinations of industrial certifications.

No, it is mandatory to attend live classes at the times indicated on the calendar and to participate.

Due to time difference with the Americas, DSTI may consider a request to follow the programme in deferred mode. However, this modality is strongly discouraged for all the reasons described above, but also for the lack of interaction with the rest of the cohort. Again, if this is your case, the SPOC mode facilitates access for students of the American continent as it is based on part-time learning meaning you can watch the class recordings off-line.

Yes this is possible, tuition fees are simply adjusted one way or the other at the time of change. However, an off-campus student who decides to come to France would have to spend at least 50% of his schooling on-campus in order to benefit from the support for industrial placement.