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

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

Nice Sophia-Antipolis Campus – Paris Campus

The most focused
0-month
advanced MSc
Enterprise-level
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Certifications
A total of
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of tuition
Tuition fees
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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

Autumn 2018 entry – Tuition Fees

Programme Information

This 9-month Advanced MSc programme (3 months of classes, 6 month- internship), with its two entries in Autumn and Spring, is designed to open your career to these Big Data Engineering jobs marrying mathematics & computer science excellence all industries are looking for.
This programme essentially targeted for DSTI MSc in Applied Data Science & Big Data graduates, but external applications may be considered*.
* If you are not a DSTI graduate, please make sure to read our Applied MSc programme content to make sure that your current skills are somehow similar.

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 Data Engineer.

Classes are given in English from:

  • October to December for the Autumn entry;
  • April to June for the Spring entry;

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 engineer and architect Information Systems (IS) and cloud-based Information Technologies (IT) infrastructures for Big Data;
  • 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);
  • get awareness on the legal aspects of IT projects contracts.
  • be trained to and take two Enterprise-Level Certifications examinations:

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.
Should you be looking for a part-time programme allowing you to work and study, make sure to check our International Executive MSc in Applied Data Science & Big Data programme, delivered as a Small Online Private Course (SPOC).

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.

Next entry: Autumn 2018

Advanced MSc tuition cycle

2 Enterprise-level Certifications


Databricks Certified Developer on Apache Spark

Apache Spark
Preparation for Databricks Certified Developer on Apache Spark**


Google Certified Professional - Data Engineer

Google Cloud Platform
Preparation for Google Certified Professional – Data Engineering**


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):

Complex Information Systems
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  • Architecture (CIS1)
  • Preparation for Google Certified Professional – Data Engineer Certification**

  • Software Engineering (CIS2)
  • Data-intensive applications with Microsoft .Net
    Parallel Processing and Concurrency in the .NET Framework, In-Memory processing with .Net & MS SQL Server

  • Databases (CIS3)
  • Spatial Data Management
    RDBMS approches using MS SQL Server, ESRI GIS Tools for Hadoop

  • IT Security (CIS4)
  • Security of Information Systems in a Big Data Environment
    Fundamentals of cryptography for data transfers, RDBMS security model, Hadoop security model, fundamentals of certified code

  • Law (CIS5)
  • Deciphering IT Contract Law
    Fundamentals of service contract law and specifics for the IT industry
Artificial Intelligence
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  • Distributed Processing for Machine Learning (AI1)
  • Preparation for Databricks Certified Developer on Apache Spark**

  • Applied Artificial Intelligence (AI2)
  • Computer Vision using Python
    Clustering, searching content and classifying images’ contents
  • Natural Language Processing using Python
    Processing raw text, categorising and tagging words, classify text, extracting information, sentences’ structures and meaning

  • High-Performance Artificial Intelligence (AI3)
  • Deep Learning on GPU
    Deep neural networks, deep convolutional neural networks & residual nets
    Using the Torch & Theano for leveraging GPU-based computations

* 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 OCTOBER 2018 entry and are subject to change for future years. Tuition fees for the MARCH 2019 entry will be published in October 2018.

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 Information Systems and Artificial Intelligence for Big Data Engineering Entry Tuition Fees (exclusive of any potential taxes)
ON-CAMPUS STUDENTS AUTUMN 2018 8,000€
ONLINE STUDENTS AUTUMN 2018 4,800€

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, minus the 100€ already paid for your admission 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.

The remaining fees can then be arranged in up to 5 monthly instalments throughout the programme.

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