Computer Science

Explore the programs and courses offered by Computer Science

Browse Programs Admission Information

Program Overview

The PhD program at the Higher National School of Renewable Energies, Environment Sustainable Development is an advanced research-based degree designed to cultivate scientific excellence,

innovation, and leadership in the fields of renewable energies, environmental science, and sustainable development.

This interdisciplinary program aims to train highly qualified researchers and experts capable of addressing the pressing environmental and energy challenges facing the modern world. The doctoral training combines rigorous academic coursework, cutting-edge research, and hands-on problem-solving in collaboration with industry, governmental institutions, and international research centers.


The Mathematics and Computer Science program, with a concentration in Computer Science, provides

a comprehensive education in the fundamentals and advanced practices of computing. It is

designed to prepare students for the challenges of the digital age through a solid foundation in

mathematical reasoning and computational thinking.


Teaching Language : The program is conducted entirely in English, ensuring alignment with international academic and industry standards.

Curriculum Highlights

Core Courses

Semestre 1


In this, the PhD student takes – modules in complementary training :

The program includes several modules, each consisting of 40 hours and evaluated through continuous assessment. These modules are: Information and Communication Technology, English, Programming, Artificial Intelligence (AI), Philosophy, and Didactics. Each course is designed to provide in-depth knowledge and skills relevant to the doctoral training, with consistent evaluation throughout the duration of the module.









Advanced Topics

Semestre 2

Dans ce cadre, le doctorant suit deux modules dans le cadre d’une formation complémentaire spécialisée :

Le programme comprend plusieurs modules, chacun d'une durée de 20 heures et évalué par contrôle continu. Ces modules sont :

Intelligence artificielle (IA)

Réseaux


Admissions Information

Candidates must hold a Master’s degree (or equivalent) in a relevant field (e.g., energy, environment, mechanical/electrical engineering, environmental sciences, chemistry, computer science).

Admission is competitive and based on academic performance, research proposal quality, and alignment with the school’s research priorities.

Candidates must pass a national doctoral entrance exam (concours d'accès au doctorat), as regulated by the Ministry of Higher Education and Scientific Research (MESRS).

Applicants must register their thesis topic with a supervising professor accredited by the National Commission and affiliated with a recognized research laboratory.

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