Our Applied MSc in Data Analytics 1 programme, with its two entries in Autumn and Spring, will enable you to increase your business skills and job opportunities by strengthening decision-making through data analysis. In this Applied MSc, you will master the techniques and tools needed to conduct and deliver your analyses with relevant and structured reports, improving the return on investment of your company’s projects.
Classes for this Applied MSc in Data Analytics 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 Analytics 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 Analytics, Applied MSc in Data Engineering for AI and Applied MSc in Data Science & 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 Analytics, this applied BootCamp lasts 5 days 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.
Autumn 2020 – Applied MSc in Data Analytics BootCamp
Math refreshers (2 days) – October 5th to 7th 2020
Initiation to Python for Data Analytics & Machine Learning (3 days) – Dates to be confirmed
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.
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 “Expertise Science des Données” (Expertise in Data Science). This degree is a Masters’, which means a level 7 on the European Qualifications Framework and level 1 on the French framework. An application had been filed for DSTI in order to be registered in the National Register of Professional Certifications (RNCP, file #1553) of “France Compétences” (formally CNCP), for the degree to be countersigned by the French Government. This procedure takes from 8 to 18 months. If the outcome is positive, all DSTI graduates (past and current) will be able to take advantage retroactively of this registration in the RNCP, according to the L335-6 article of the French Code for Education (Code de l’Éducation).
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.
10% waiver of the total tuition fee: Upon their admission, applicants must pay the matriculation deposit before July 15th 2020 to qualify for the waiver.
5% waiver of the total tuition fee: Upon their admission, applicants must pay the matriculation deposit before August 15th 2020 to qualify for the waiver.
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”