Data ScienceTech Institute (DSTI) is a private higher education institution, with dual status as a vocational training institution (registered with DIRECCTE 93.06.07633.06, 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.
What degree(s) and certificate(s) does the School provide? Are there any professional certifications? Are they obligatory?
In accordance with its status as a registered private institution of higher education with the French Ministry of Education, the School issues a Degree Certificate at the end of studies. In addition, in order to strengthen our industrial recognition, all DSTI students must pass two professional certifications per year.
In the MSc programme in Applied Data Science and Big Data, two certifications are compulsory:
Students are prepared by professionals to pass these certifications. They are compulsory and the School pays the necessary registration fees.
Data ScienceTech Institute organise régulièrement des portes ouvertes. Nous vous invitons à venir assister pendant une journée à un de nos cours afin que vous puissiez vous mettre dans la peau d’un étudiant de DSTI.
Nous organisons également des conférences, petits déjeuners où diverses interventions professionnelles autour de la Data Science.
They are virtually limitless since all organisations need expertise in data science. 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.
In partnership with Couthon Conseil, we have established the profiles of the 6 most sought-after jobs in Big Data and incorporated them into our the Applied MSc & Advanced MSc programmes.
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).
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.
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 is online only.
First of all, you can submit your application online via our website (Click here to submit your application).
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 take our online test. The test consists of about 70 questions divided into several categories (programming, database, statistics, mathematics …). Finally, 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 focused on your personal profile and the other your technical profile. They can take place on one of the two campuses or via Skype (if you can not be present on site) thanks to our distance learning tools.
The following tuition fees are for the academic year of OCTOBER 2017 and will be subject to change for the next academic year. Tuition fees for MARCH 2018 will be published in October 2017.
Autumn 2017 Entry:
Autumn 2018 Entry:
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 done online through our website, the procedure is the same if you are abroad.
DSTI is a industry-focused School and we need to keep our cohort size small in order to maximise practical participation.
The course lasts three or six months depending on the course you choose plus six months of training. The MSc programme in Applied Data Science and Big Data requires six months of courses and the Advanced MSc in Information Systems and Artificial Intelligence for Big Data Engineering programme requires three months of courses.
DSTI’s Applied MSc and Advanced MSc Programmes are built around four main areas: computer science, applied mathematics, business applications and ethics / law. The programmes are very intense (400 hours per quarter) including plenty of practical work. You will also be prepared to take two professional certification exams per programme.
All classes are delivered in the language of Shakespeare. Life in the School also happens in English through dozens of nationalities of students and teachers of DSTI!
No the training is identical as the classes take place at the same time thanks to our tele-teaching tools.
Yes, the flexibility of 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, or you could visit your colleagues from another campus for a week.
There is no difference between the two entries, the programmes are strictly identical.
On average, we try to maintain the average of 5 hours of classes per day, so 25 hours per week. There are 400 hours of work per quarter (300 hours of classroom lessons + 100 project hours). The pace is very steady as students must provide important personal work beyond these 400 hours.
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 MSc in Applied Data Science and Big Data programme.
Yes, the School 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 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 MSc in Applied Data Science and Big Data 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, and the geographical location of your internship does not matter. The internship agreement is French, signed by the School, and therefore French law applies in this matter to employers: any placement of more than two months must be remunerated.
Yes, the support of the School is assured for the search for internships. In addition, all internship offers received by the School are shared with 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 for 4 to 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 if the review of the work produced so requires.
This programme is for students who live outside metropolitan France and cannot come to study in France, mainly for economic reasons.
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 as their on-campus colleagues.
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.
Can I follow the course solely from watching the class recordings? Especially if I live on the American continent?
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 MSc in Applied Data Science and Big Data programme 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 decided 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.