Flexibility and Skills
The curriculum of the continuing education Computer Engineering program is based on the same coursework offered in the standard initial training track. However, given the availability constraints of participants in this program, the curriculum is organized into 8 semesters, instead of the 6 semesters used in the traditional pathway.
ASIIN Accreditation for the Computer Engineering Degree
Access to This Program
3rd Year
Engineering Cycle at SESAME
Integrated Preparatory Cycle
or
Scientific Bachelor’s Degree
Computer Science Bachelor’s Degree
Admitted to the National Entrance Exam for Engineering Schools
4th Year
Engineering Cycle at SESAME
Master 1 IT
ou
Master 2 IT
5th Year
Engineering Cycle at SESAME
6th Year
Engineering Cycle at SESAME
Program Curriculum
3rd Year
4th Year
5th Year
6th Year
S1
S2
S3
S4
S5
S6
S7
S8
Common Core
OPTIONS
SOFTWARE ENGINEERING
DATA SCIENCE – AI
CLOUD - CYBERSECURITY
Program Curriculum
3rd Year
4th Year
5th Year
6th Year
S1
S2
S3
S4
S5
S6
S7
S8
S9
S10
Common Core
OPTIONS
SOFTWARE ENGINEERING
DATA SCIENCE – AI
CLOUD - CYBERSECURITY
Engineering Cycle Options in Computer Science
Starting from the 8th semester of the engineering cycle, students may choose one of three options:
Software engineering
Train engineers capable of designing and building innovative software solutions that meet business needs. Students master agile development techniques, including the automation of software delivery processes. The objective is to accelerate software design, development, testing, and deployment—ensuring reliability at every stage.
Data science & AI
This field combines mathematical and computer science expertise with domain-specific knowledge (finance, IoT, agriculture, ecology, energy, insurance, healthcare, etc.). Given the volume and value of data generated and transmitted today, it has become essential to employ methods, processes, algorithms, and mechanisms capable of handling, extracting, optimizing, and leveraging increasingly large datasets for forecasting and decision-making.
Cloud – Cybersecurity
Train CloudOps engineers capable of supporting the transformation of corporate information systems toward the Cloud by virtualizing IT infrastructures and related digital services. This track also trains engineers to ensure the protection of digital resources and to maintain the proper functioning of IT infrastructures.
Career Prospects by Specialization
Software Engineering
• Software Development Engineer
• Software Design Engineer
• DevOps Engineer
DataScience & AI
Cloud – Cybersecurity
Certifications
| Track | Level | Semester | Certification Technology |
| Computer Engineering – Adapted Schedule | 1st Year | S1 | Cisco C Language (Level 1) |
| ITS Databases | |||
| S2 | ITS Java | ||
| LPI Linux | |||
| 2nd Year | S1 | ITS Python | |
| Cisco CCNA 1 | |||
| Huawei AI | |||
| S2 | ISTQB (CTFL 4.0) | ||
| Huawei IoT | |||
| 3rd Year | S1 - CIC | Huawei Cybersecurity | |
| Microsoft Cloud AZ-900 | |||
| Huawei 5G | |||
| Cisco CCNA 2 | |||
| S2 - CIC | AWS Solution Architect | ||
| S1 - DS | IBM Cybersecurity | ||
| IBM Data Science | |||
| 4th Year | S1 - SE | AWS DevOps | |
| AWS Solution Architect | |||
| S1 - CIC | Cisco CCNA 3 | ||
| S1 - DS | IBM Big Data |
Certifications
| Level | Semester | Certification |
| Computer Engineering – Adapted Schedule | ||
| 1st Year | S1 | Cisco C Language (Level 1) |
| ITS Databases | ||
| S2 | ITS Java | |
| LPI Linux | ||
| 2nd Year | S1 | ITS Python |
| Cisco CCNA 1 | ||
| Huawei AI | ||
| S2 | ISTQB (CTFL 4.0) | |
| Huawei IoT | ||
| 3rd Year | S1 - CIC | Huawei Cybersecurity |
| Microsoft Cloud AZ-900 | ||
| Huawei 5G | ||
| Cisco CCNA 2 | ||
| S2 - CIC | AWS Solution Architect | |
| S1 - DS | IBM Cybersecurity | |
| IBM Data Science | ||
| 4th Year | S1 - SE | AWS DevOps |
| AWS Solution Architect | ||
| S1 - CIC | Cisco CCNA 3 | |
| S1 - DS | IBM Big Data | |
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