Applications for 2026–2027 are open
Professional Master in Data Science
← All programmesProfessional Master

Professional Master in Data Science

Turn data into intelligent decisions and strategic value.

Duration2 years — 4 semesters
DegreeProfessional Master degree
AdmissionBachelor degree or equivalent in a scientific field
CampusBoukhzar, Sousse
Overview

A structured programme designed to build practical skills.

The Professional Master in Data Science trains experts able to analyse large datasets, master advanced data-science tools and develop high-impact predictive models for finance, healthcare, industry, marketing and e-commerce.

Programme objectives

01

Analyse large volumes of data

02

Master advanced Data Science tools

03

Build predictive Machine Learning and Deep Learning models

04

Communicate insights through effective visualisations

Useful information

What you need to know before applying.

A clear view of the programme, application process and support offered by ESPITA.

Application review

Your application is reviewed according to your academic level, qualifications and study project.

Applied learning

Lectures, tutorials, practical work, projects and case studies structure your progress.

Internships and final project

Professional experience supports skills development and employability.

International support

Students can receive support for mobility, international internships and further study.

Monthly payment available

Payment terms and schedules are confirmed with the administration office.

French / English learning

Technical and professional English is progressively integrated into the programme.

Detailed curriculum

Structured progress, year by year.

Each stage combines courses, practice, projects and professional skills development.

01
Semester 1

Data and statistical foundations

  • Python
  • Advanced statistics
  • Databases
  • Data preparation
  • Data visualisation
Project

Project: exploratory analysis and dashboard for a real dataset.

02
Semesters 2–3

Advanced AI and data platforms

  • Machine Learning
  • Deep Learning
  • Big Data and Spark
  • Cloud computing
  • NLP and Data Engineering
Project

Project: deploy a predictive data product.

03
Semester 4

Professional immersion

  • Applied research
  • Project management
  • Data governance
  • Professional communication
Project

Internship or professional final project in a chosen sector.

Detailed content may evolve during curriculum updates. The admissions office confirms the version applicable to each intake.

Skills developed

Technical, methodological and interpersonal skills.

Data analysisPredictive modellingBusiness IntelligenceData engineeringVisual communicationData-driven decision making

Learn by creating real projects.

  • Predictive analytics solution
  • Big Data processing pipeline
  • Interactive decision-support dashboard

Programme technologies and certifications.

CiscoPythonMicrosoft Azure DataOracle SQLIELTSPower BICoursera AI & ML
Career opportunities

Build your professional future.

Data Scientist
Data Analyst
Data Engineer
Machine Learning Engineer
Business Intelligence Analyst
AI Specialist
Data Science Consultant
Data Product Manager
Your future starts here

Build a path that reflects your ambitions.

Talk to our admissions team and find the programme that fits your goals.

WhatsApp