DSTI Bachelor, MSc & Continuous Education in Data Science, Artificial Intelligence, Big Data & Machine Learning Engineering or Data Analytics - Study with us!

DSTI is a sophisticated institute. They absolutely care about the students. They help every student in identifying their skills and brushing them further. The one to one mentoring meetings are really helpful to assess our competence. They also help to share mutual values with the enterprise. DSTI tries to help every student at any time in any possible scenario.

The Applied MSc in Data Engineering is the perfect way to change your perspective on data management and AI. If you are interested in this programme, you must work on your programming skills and interact with the faculty and other students. But don’t forget to drink coffee!

It has been a very intense and rich year, both humanly and technically, which allowed me to change my career path and become a Data Scientist.

I would strongly recommend the SPOC course to the working professionals and especially ones who want some flexibility and at the same time want benefits of a thoroughly designed and well imparted degree course in AI/ML.

DSTI’s Applied MSc programmes 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.

My decision to join DSTI changed my life. In just a matter of months, I was guided and trained in the field of Data Science, even though I had no experience. Thanks to this Applied MSc and DSTI’s network, I am now a Data Scientist in an incredible company.

DSTI has designed an Applied MSc programme that got me from almost nothing to a well-grounded Data Engineer. It provides me with solid foundations and cutting edge skills from which I can capitalise on to go learn almost anything in Data Engineering.

In 2018, as a job seeker, I decided to join the Applied MSc in Data Science & AI programme offered by DSTI. The off-campus mode allowed me train remotely in these new techniques and environments such as the Cloud. The aim, at the age of fifty, was to prove that I had a place in this field and to show to future employers my knowledge of the current developments in Data. Today, I work as in Information Systems and Digital Manager at the CNAM PACA. This job position allows me to combine the skills of a Data Manager, Data Scientist and Data Analyst.

One of the most amazing things I love about DSTI is that every single individual is keen on helping you. Your teachers appreciate when you ask questions. The alumni association gives you a true insight of working as a Data Scientist from ground zero to the position they have reached right now and are always happy to share their experience with you. Moreover, your classmates are some of the most brilliant minds you will come across. Those six months of classes will be the most exhaustive as well as one of the most amazing time.

The school board and its professors are welcoming, engaging, nurturing and encouraging. They understand that the field of Data Science attracts apprentices of different skills and backgrounds, and they approach teaching it from that point of view. DSTI is not just a school – it is a family that brings together people who are eager to learn and grow.

The Applied MSc in Data Science & AI gave me the skills I needed to start a career in Data Science. DSTI was very helpful from the beginning to the end of the internship. I could not have imagined such a huge progression in only 6 months.

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.

This Applied MSc will provide me with everything I need in terms of knowledge and skills for my career path. Today, whatever your sector of activity, it is impossible to escape from management and data analytics. It is therefore important to the skills needed to analyse the data in order to achieve your company's objectives.