Our Applied MSc in Data Science & Artificial Intelligence 1 programme, with its two entries in Autumn and Spring, will enable you to get 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. This Applied MSc programme is “depth-first” in applied mathematics and their implementation, led by Professors from the “French School of Mathematics”.
The Data Scientist, a job once classified as the “sexistest of the 21st century” by the Harvard Business Review, has now (thankfully) passed its “hype” stage. In this end of the first quarter of the 21st century, employers are well-aware of what is a Data Scientist, i.e. a good applied mathematician who can program a computer for proof-of-concepts (PoC). These PoCs are then industrialised by their IT-focusedData Engineers colleagues and cleverly leveraged organisation-wide by Data Analysts to serve decision-makers.
Although forming the smallest population in-demand for data-centric jobs (#1 Data Engineer, #2 Data Analyst, #3 Data Scientist), they rapidly become high-earners present among the range of established roles that are set to experience increasing demand in the run up to 2022(“The Future of Jobs Report“, The World Forum).
DSTI Dean’s words on our Applied MSc in Data Analytics & AI
Classes for this Applied MSc in Data Science & AI programme are taught exclusively in English, eitheron a full-time basis from our campuses, live online (Off-Campus) or part-time in SPOC mode (Self-Paced, with monthlyintakes).
In full time mode, the Applied MSc in Data Science & AI runs over a year with 6 months of classes, followed by a 6-month internship(see the Careers tab above). Part-time students in SPOC mode have up to 36 months to complete the programme.
1 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” (Experts in Data Science). DSTI is proud of its 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.
Data ScienceTech Institute Applied MSc programmes include a Bootcamp to get you up to speed on skills required to start leveraging the different topics. For Data Science & AI, this applied BootCamp lasts 15 days (3 weeks) and can be followed on-campus or online.
The DSTI BootCamp is a fundamental moment for your studies. As an integral part of the programmes, it prepares DSTI students to all the base knowledge in applied mathematics and IT for a smooth start.
According to your profile, some parts may be known, but even then, we’ve have plenty of students’ feedback telling us how important it was to refresh former knowledge.
As a full-time student, you may not have time to attend it live as it’s delivered four weeks before the start of “Applied Mathematics” (a tradition at DSTI). But as everything else at DSTI, it’s recorded and available to unlimited replay, so you can make sure to have covered it.
Next dates : From Monday October 5th to Friday October 23rd 2020
Survival Analysis using R (25 hrs) – 1 ECTS Analysis of survival data using parametric , nonparametric and semiparametric methods – Applications using R
Statistical Analysis of Massive and High Dimensional Data (25hrs) – 1 ECTS Context for new uses of massive datasets (open data, social networks, Twitter…) – Review of conventional statistical methods (tests, regression, classification) and their (un)suitability massive datasets – Latest alternative statistical tools for analysing modern datasets – Implementation in realistic situations using R
Deep Learning with Python (25 hrs) – 2 ECTS Introduction to PyTorch – Deep Learning – Neural architectures & their applications – Neural Network training on a GPU (practice)
* The student chooses between “SAS BASE” ou “Inverse Problems and Data Assimilation”.
Management, Ethics & Law – 2 ECTS
Data Laws & Regulations – Philosophies, Geopolitics & Ethics (25 hrs) – 1 ECTS EU-USA approaches – GDPR – Safe harbour & successors – Common Law vs Code Law
IT Project Management: PMP-PMI and Agile approaches
(25 hrs) – 1 ECTS PMBOK (PMI) – Agile Approaches – Kanban
* Please note that course content and support technologies may vary when delivered according to job market needs and under the supervision of Data ScienceTech InstituteScientific Advisory Board.
All students will be assigned engineering projects included in the majority of the modules. 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.
DSTI offersincentives to new applicants when committing early. The Early Bird is a tuition fees waiver for the Autumn 2020 entry. Two waivers are available to new admittedapplicants joining the full-time study mode.
Who is eligible? All admitted applicants for on-campus or off-campus modes for our Autumn 2020 entry.
5% waiver of the total tuition fee: Upon their admission, applicants must pay the matriculation deposit before July 15th 2020 to qualify for the waiver
Learn more about the application deadlines here.
You have a degree in…
APPLICANTS WITH A 3-YEAR BA, BSc OR BEng DEGREE
1 year of work experience
APPLICANTS WITH A 4-YEAR BA, BSc, BEng OR MA/MSc/MEng DEGREE
No particular preconditions*
APPLICANTS WITH A 5-YEAR MA, MSc, MEng OR CHARTERED ENGINEERS
On Campus students, whose registration fees are not covered by a third party organisation, must pay the CVEC student tax (90€). In addition, students who are not yet registered for social security can register online for student social security on the Ameli website. European students will be required to provide the membership number on their European Health Insurance Card.
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 tuition Fees are paid in 3 instalments, every two months in advance (w/exc. of the initial 10% (on-campus) or 20% (off-campus) down payment for securing your enrolment).
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.
Our online careers platform allows each student and alumni to have the necessary tools to boost their career in the data field. Students will be able to find internships and job opportunities through a personalized profile. They will access exclusive opportunities across Europe.
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. Off-Campus students are also encouraged to seek for intersnhips, in their own countries or in France. 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.
Alternatives to internships
The prime alternative, for all students, would be an immediate permanent job, particularly for those who feel confident enough to enter the job market without an internship phase. SPOC students are naturally concerned, as they are already in employment.
Another alternative could be consulting/freelancing, as long as the missions are relevant to your studies.
In any case, DSTI will require the same post 6-month evaluation given to interning students.
* 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
“DSTI’s course and syllabus 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”