Advanced MSc in Information Systems & Artificial Intelligence for Big Data Engineering

Advanced MSc in Artificial Intelligence

Nice Sophia-Antipolis Campus – Paris Campus

The most focused
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advanced MSc
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on-campus*
Tuition fees*
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off-campus**

*On-Campus self-funded students are normally exempt of French/EU VAT collection
**Off-Campus fees are exclusive of any local taxes (e.g. VAT, Sales Tax, etc.) which may apply in the students’ country of residence

Discover the programme structure

April 2019 entry – Tuition Fees

Programme Information

This 9-month Advanced MSc programme (3 months of classes, 6 month- internship), is preceded by a tailor-made Advanced Bootcamp in Artificial Intelligence. This Advanced MSc programme will start in April 2019 and is designed to open your career to the Artificial Intelligence jobs marrying mathematics & computer science excellence industries are looking for.

France has a long-standing history of excellence in analysis and design of complex information systems as well as a celebrated talent for mathematics, the essential foundation for becoming a AI Expert.

This programme essentially targeted for students with strong mathematical and Data Science skills. If you are not a DSTI graduate, please make sure to read the Applied MSc in Data Science programme to make sure that your current skills are somehow similar.

Due to the complexity of the program, DSTI wants to help you get ahead of the Advanced MSc in Artificial Intelligence programme and to develop the skills required. It aims to provide its students the opportunity to build a strong foundation and to be up to date with the different topics in order to start the 3 intensive months of the Advanced MSc programme.

The tailor-made Bootcamp runs from October 2018 until March 2019 and the student will be allowed to follow up to 150 hours of classes.

DSTI will design for you a tailor made programme with classes taken from the Applied MSc in Data Science and that you will be able to follow  through any study mode you want (On-Campus or Online).

advanced programme calendarClasses are given in English:

  • October to March: Tailor-made Bootcamp
    150hrs of classes, on a full-time basis (5 hours/day)
  • April to June: Advanced MSc in Artificial Intelligence
    On a full-time basis (5 hours/day) along with the “Engineering Projects” (see below) and followed by a 6-month work placement.

In this Advanced MSc programme, you will:

  • Learn how to build complex neural networks architectures and train them on GPU;
  • Leverage high-performance for artificial intelligence algorithms (machine learning, deep learning) using advanced programming techniques;
  • Handle complex data for applied artificial intelligence techniques such as computer vision or natural language processing (NLP);
  • Learn how to leverage Deep Learning for computer vision applications

Classes for this Advanced MSc programme are offered on a full-time basis from Data ScienceTech Institute campuses (around 5hrs a day).

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.
We are kindly reminding you that our Advanced MSc programme is delivered in full-time only. As such, you must be available to follow all classes and projects.

On-campus students who are NOT citizen and passport holder of a European Economic Area (EEA) country, Andorra or Monaco, will be required to apply for a long-stay student visa. Please carefully read the requirements on our “Visa Procedure” page.

Study Mode Available

Study mode DSTI Advanced MSc


This Advanced MSc programme programme is composed of all the following modules*, which are actual hours of class presence
(personal work is expected on top of these)
:

Advanced MSc in Artificial Intelligence
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  • Computer Vision
  • Signal processing, Bayesian and Artificial Neural Network approaches

  • Natural Language Processing
  • Linguistic resources, Text processing, Textometry, Text Mining

  • Deep Learning on GPU
  • Recurrent Neural Networks, LSTM, Residual Networks, Reinforcement Learning, Generative Networks

  • Nature-based approaches for Optimisation
  • Physics-inspired (PSO, Hill-Climbing, Simulated Annealing) and Biology-inspired (ant colony optimisation, Genetic) algorithms

  • Multi-Variate Time Series Analysis
  • Spectral (Signal Processing, Wavelet analysis) and Bayesian approaches

  • Systems Dynamics
  • Causal loop diagrams, Stock and flow diagrams, Non-linear algebraic equations, Chaos Theory

  • Data Assimilation
  • Applications of Inverse Problems to oceanography and meteorology data for modelling and prediction

* Please note that course content and support technologies may vary when delivered according to job market needs and under the supervision of Data ScienceTech Institute Scientific Advisory Board.
** Provided you are not subject to any Sanction Programmes of the United States of America which would affect your rights to take these classes and/or examinations.

ENGINEERING PROJECTS
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All students will be assigned engineering projects attached to courses of programme. 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.

Once the classes are finished, our Advanced MSc students can choose between going for a work placement or working on an advanced engineering project and dissertation. DSTI strongly encourages On-Campus students towards industrial placement and advanced engineering projects for online education students ones.

Work Placement
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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. 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.


Advanced Engineering Project
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Online education students will be tutored by a DSTI Professor in selecting a data science engineering problem for a given industrial application and write an engineering proposal, covering state-of-the-art literature, to propose a solution. On-Campus students may also choose this engineering project as an alternative to a work placement.

* 540hrs is an evaluated time and equivalent to four months of legal full-time work in France (35hrs per week), of requirement commitment to perform the project.

The following tuition fees are expressed exclusive of any taxes & are in effect for the April 2019 entry and are subject to change for future years.

Off-campus students tuition fees may be subject to the local taxes of your country of residence. On-Campus self-funded students are normally exempt of French/EU VAT collection.
In any case, please get in touch with us to check which scenario applies.

Advanced MSc in Artificial IntelligenceEntryTuition Fees (exclusive of any potential taxes)
ON-CAMPUS STUDENTSAPRIL 201913 500€
ONLINE STUDENTSAPRIL 20197 500€

On-campus non-EU and mature students (>28 y/o) may be required by the French Government to pay an extra 250€ for gaining medical coverage (social security). This obligation and extra cost is only collected by DSTI on behalf of and for the French Government.

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 monthly instalments 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 Advanced 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.

Applicants with a 3-year
BA, BSc or BEng degree

6 years of relevant work experience

Applicants with a 4-year
BA, BSc-BEng or MA-MSc-MEng degree

3 years of relevant work experience

Applicants with a 5-year
MA, MSc – MEng or Chartered Engineers

1 year of relevant work experience or equiv. degree to DSTI Applied MSc

DSTI Applied MSc graduates

No particular requirements