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Continuous education

At your own pace
Monthly intakes
Online

44%

Studying to answer an current job challenge

97%

Studying to enhance their professional opportunities

22%

Studying upon request of their employers

78%

Studying by personal initiative

150hrs

Average studies' hours

Study Data Analytics, Data Science or Data Engineering by choosing one of our modular courses (RNCP certified). These courses can be taken online and at your own pace. The executive training allows you to start at any time and acquire new skills right away. As the SPOC mode, this study path is intended for professionals who wish to work and study at the same time.

Description​

Data ScienceTech Institute’s “Applied MSc” programmes exclusively offer full validation of the knowledge and skills associated with our degrees and RNCP 34262 « Expert en Sciences des Données » title.

Our “continuous education” offer responds to a need for partial validation but also capitalisation from these programmes.

The proposed courses, in modular form, allow :

→ to enter the same rewarding process of selective admission.

→ to follow the same teaching content.

  ○ asynchronously, in the “Self-Paced Online Course” (SPOC) mode, for those who cannot free up professional time.

  ○ Synchronous, according to DSTI course schedules.

  ○ or a mix of both.

→ to undergo the same assessments.

→ obtain a transcript of marks for validated courses, capitalisable by European Credits Transfer System (ECTS) credits towards a complete “Applied MSc” programme and its associated RNCP level 7 title (master).

→ eligible for the Compte Personnel de Formation (CPF), as it is systematically associated with an RNCP title.

The composition of your partial validation training course is entirely individualised, depending on your skills prerequisites (assessed in our admission process), your professional development needs and potentially your desire to obtain a DSTI degree and associated RNCP title by capitalisation of ECTS credits.

The elements below present the different modalities of composition of a continuous education course in partial validation of our Applied MSc programmes.

Support interview

Applying to one of our modular courses requires reflection and commitment. It is important in your selection criteria that the curriculum is really in line with your needs and professional projects. Thus, we offer personalised pedagogical support even before the beginning of the programme.

Before the beginning of the module, an interview with a member of the Direction of Studies takes place in order to:

  • Verify that the candidate has the necessary prerequisites to follow the module. If necessary, the candidate will be offered, without extra charge, videos or additional materials to get up to speed on required skills.

  • Confirm with the candidate the adequacy of the module with his professional objectives. If necessary, it will be possible to adjust the content of the module with other classes to fit the candidate’s needs.

Personalised learning paths

The Executive Engineering Education at DSTI are aimed at executives wishing to master the skills and tools required to develop their careers. They will be able to take advantage of the many opportunities offered by the fields of Data Analytics, Data Science and Data Engineering.

The student can choose among the different courses available to build his Data Science & AI learning path through different volumes: 50 hrs, 75 hrs, 100 hrs, 150 hrs or 200 hrs.

Process

  • Deepen your training project during a personal interview.
  • Check that the needs and expectations are in line with the module intended.
  • Check that the candidate has the necessary prerequisites to follow the module.
  • If necessary, the candidate will be offered, at no extra cost, additional videos or material to bring him/her up to speed on the required skills.
  • Once the prerequisites have been validated, all that remains is to confirm the chosen module with the candidate.
    The candidate has the possibility to choose different volumes and different courses in the 3 training courses.
  • All that remains is to acquire the new skills and boost your professional career.

Download the Executive Engineering Education catalogues

Training Fees

  • 50 hours
  • 75 hours
  • 100 hours
  • 150 hours
  • 200 hours

1 200€ HT

The training is eligible for the CPF.
The training fees are based on the chosen volume.

1 650€ HT

The training is eligible for the CPF.
The training fees are based on the chosen volume.

2 200€ HT

The training is eligible for the CPF.
The training fees are based on the chosen volume.

3 300€ HT

The training is eligible for the CPF.
The training fees are based on the chosen volume.

4 400€ HT

The training is eligible for the CPF.
The training fees are based on the chosen volume.

Examples of modules

Examples of Data Scientist modules:

Statistical Machine Learning – Base (75 hrs)

75 hrs

Statistical Machine Learning – Base (75 hrs)

1 650€ HT

  • Foundations of Statistical Analysis & Machine Learning – Part 2  (40 hrs)
  • Advanced Statistical Analysis & Machine Learning  (35 hrs)

Apply Now

Data Science - Initiation

 50 hrs

Data Science - Initiation  (50 hrs)

1 200€ HT

  • Foundations of Statistical Analysis & Machine Learning – Part 1  (25 hrs)
  • Python Machine Learning Labs  (25 hrs)

Apply Now

Neural Networks

75 hrs

Neural Networks (75 hrs)

1 650€ HT

  • Continuous Optimisation  (25 hrs)
  • Artificial Neural Networks  (25 hrs)
  • Deep Learning  (25 hrs)

Apply Now

Statistical Machine Learning – Advanced

150 hrs

Statistical Machine Learning – Advanced (150 hrs)

3 300€ HT

  • Foundations of Statistical Analysis & Machine Learning – Part 2 (40 hrs)
  • Advanced Statistical Analysis & Machine Learning (35 hrs)
  • Statistical Analysis of Massive and High Dimensional Data (25 hrs)
  • Time-Series Analysis (25 hrs)
  • Survival Analysis (25 hrs)

Apply Now

Examples of Data Engineer modules:

Data Engineering - Initiation

 50 hrs

Data Science - Initiation  (50 hrs)

1 200€ HT

  • Python Machine Learning Labs (25 hrs)
  • Data Wrangling with SQL (25 hrs)

Apply Now

Cloud-Computing

100 hrs

Statistical Machine Learning – Base (100 hrs)

2 200€ HT

  • Amazon AWS (50 hrs)
  • Azure (25 hrs)
  • Cybersecurity (25 hrs)

Apply Now

Big Data

75 hrs

Big Data (75 hrs)

1 650€ HT

  • Hadoop & Spark (50 hrs)
  • Data Pipeline – Part 2 (25 hrs)

Apply Now

Advanced Databases

100 hrs

Advanced Databases (100 hrs)

2 200€ HT

  • Relational databases for ETL & Datawarehousing (25 hrs)
  • NoSQL (25 hrs)
  • Data Pipeline 1 – XML & JSON (25 hrs)
  • Semantic Web Technologies (25 hrs)

Apply Now

Machine Learning Engineer

200 hrs

Advanced Databases (200 hrs)

4 400€ HT

  • Hadoop & Spark (50 hrs)
  • DevOps & Continuous Integration (50 hrs)
  • Foundations of Statistical Analysis & Machine Learning – Part 1 (25 hrs)
  • R for Big Data (25 hrs)
  • Python Machine Learning Labs (25 hrs)
  • Deep Learning (25 hrs)

Apply Now

Examples of Data Analyst modules:

Data Analytics - Initiation

 50 hrs

Data Analytics - Initiation (50 hrs)

1 200€ HT

  • Python Machine Learning Labs (25 hrs) or Advanced Excel for Data Analytics & Machine Learning (25 hrs)
  • Data Wrangling with SQL (25 hrs)

Apply Now

Databases

75 hrs

Databases (75 hrs)

1 650€ HT

  • Relational databases for ETL & Datawarehousing (25 hrs)
  • NoSQL (25 hrs)
  • Data Pipeline 1 – XML & JSON (25 hrs)

Apply Now

Machine Learning Analyst

100 hrs

Machine Learning Analyst (100 hrs)

2 200€ HT

  • Foundations of Statistical Analysis & Machine Learning– Part 1 (25 hrs)
  • R for Big Data (25 hrs)
  • Data & Machine Learning Visualisation Ecosystem (25 hrs)
  • Reporting & Visualisation – Preparation to Microsoft PowerBI Certification (25 hrs)

Apply Now

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