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