Applied MSc in Data Science & Artificial Intelligence (Online/On-Campus/Apprenticeship)
Data ScienceTech Institute
About this program
Applied MSc in Data Science & Artificial Intelligence (Online/On-Campus/Apprenticeship)
Level 7 of the European Qualifications Framework (EQF) - RNCP 34262 Level 7 certified, Diploma accredited as "Expert en Sciences des Données"
This 9 months of classes and 6-month internship Applied MSc programme, with its two entries in Autumn and Spring, is a programme delivered in English and designed to bring students to the scientific heart of Data Science & Artificial Intelligence.
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 (self-paced and montlhy intakes).
This programme is “depth-first” in applied mathematics and their implementation, led by Professors from the “French School of Mathematics”. It aims to give students a deep understanding of the main scientific grounds for artificial intelligence techniques, centred on modelling and then implementing rather than surveying data science APIs & frameworks.
Prospective students seeking for an IT-focused, “breadth-first” through programming frameworks, should be looking at our Applied MSc in Data Engineering for Artificial Intelligence programme instead.
Classes are given in English from the:
- End of September to beginning of April for the Autumn entry(because of the global health crisis, the next cohort will start on November 2nd, 2020);
- 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.
Admission requirements
- Applicants with a 5-year MA, MSc-MEng or Chartered Engineers
Field: Theoretical or Applied Sciences, Engineering and Technology, Economics.
- Applicants with a 4-year BA, BSc-BEng or MA-MSc-MEng Degree
Field: Theoretical or Applied Sciences, Engineering and Technology, Economics.
- Applicants with a 3-year BA, BSc-BEng Degree
Field: Theoretical or Applied Sciences, Engineering and Technology, Economics.
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Programme Structure
- 840-hour programme – 90 ECTS (including 775 hours of classes including and 75 hours of DSTI Warm Up
- 850-hour internship (6 months) – The internship is equivalent to 30 ECTS
In this Applied MSc programme, you will:
- Sharpen your applied mathematics for data science and artificial intelligence;
- Focus your learning curve on understanding the heart of artificial intelligence algorithms;
- Operationalise your scientific skills with the analysis, design, implementation & monitoring of IT & Big Data architectures;
- Combine science and technology in application courses & projects requiring both, for dealing with industry-grade data science;
- Get awareness of IT project management and the legal consequences of data handling, with a pinch of ethical thinking regarding the consequences of mining (big) data.
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.
DSTI Warm Up
The Applied MSc programmes include preparatory courses to get you up to speed on skills required to start leveraging the different topics. For the Applied MSc in Data Science and Artificial Intelligence, the DSTI Warm Up lasts 3 weeks (75 hours) and can be followed on-campus or online.
Program delivery
You can choose to join the Applied MSc in Data Science & Artificial Intelligence through 3 modes of studies. Classes are offered either full-time On-Campus/Off-Campus or part-time in Self-Paced Online Course (SPOC) mode.
1. On-Campus
DSTI students who are undertaking their study on-campus will attend their scheduled classes in person on either Sophia-Antipolis or Paris campus. They will also make face-to-face contact with teachers, as well as other on-campus students. You will follow 9 months of courses (around 5hrs per day), followed by 6 months of internship.
2. Off-Campus (online - full time)
DSTI has HD telepresence technology in both campuses, allowing us to open online education access, with a live cast over the web, for distant students to stay at home while following our Applied MSc programmes.
3. Self-Paced Online Course (at your own pace)
Designed for working professionals!
The self-paced online course includes monthly intakes giving you the opportunity to decide when you want to start the programme on a schedule that suits you.
The SPOC mode is designed for working individuals who cannot afford to suspend their jobs for six months but still show a strong commitment to acquiring new skills and further their careers. Aspiring Data Scientists and Data Engineers will be able to acquire advanced competencies and make strategic data-driven decisions.
Tuition
The following tuition fees are subject to change for the next academic year.
- €17,350
- Regarding the apprenticeship study mode (in France only), all tuition fees are paid by the host company.
Career paths
The salary of an experienced Data Scientist varies from 50,000 to 60,000 euros. Linked to the emergence of Big Data, these experts are recruited by industry (10%), large companies, distribution (7%), companies in the financial sector (12%), telecommunications (26%), consulting (11%), and even medical or paramedical organisations.
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About this institute
Data ScienceTech Institute
Data ScienceTech Institute is the 1st applied school in Data Science, Artificial Intelligence & Big Data in France. Founded in 2015, the aim is to respond to the needs and challenges of the 4th industrial revolution, which is the creation...
Why study at Data ScienceTech Institute
The job market is looking for Data Analysts, Data Engineers and Data Scientists. Companies are finding it difficult to recruit people with the necessary skills to meet the many challenges of Data Science, Artificial Intelligence and Big Data.
DSTI’s mission is simple : to train Data Analysts, Data Engineers and Data Scientists offering the most intensive programmes on the market.
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Data ScienceTech Institute
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My experience is excellent. Nothing to say about the professionalism and the quality of teaching in the school. Also, I was surprised by the facilities in the campus, especially the connected digital boards which made it easier for us to follow the courses and especially at a distance. I chose the apprenticeship learning mode because it is an ex...