Objectives :
The Business Information System (BIS) course is training in Business Computing (BC) which focuses on Information Systems (IS) in both its IT and managerial components. This course aims to train graduates who can be immediately operational in the field of Business Information Systems Technologies, with basic skills in terms of Governance and IS Management.
Professions :
The list of professions targeted below is inspired by the correspondence matrix of the BC-BIS course:
Business Architect
System Architect
Designer
Developer
Semesters :
Across the 6-semester training program, encompassing a total of 30 subjects, students engage in a comprehensive academic journey. The first 3 Semesters (n°1, n°2 & n°3) form a Common foundation, while the next 2 Semesters (n°4 & n°5) delve into the Business Information System (BIS) specialty. With a total of 180 credits, the curriculum includes 21 fundamental subjects and 9 optional subjects, offering a well-rounded educational experience. The Last Semester (n°6) culminates in the Graduation Project, providing students with an opportunity to apply their acquired knowledge in real-world scenarios, showcasing their proficiency and successfully completing the program.
Modules :
The list of professions targeted below is inspired by the correspondence matrix of the BC-BIS course:
First Semester :
Algorithmique et Structures de Données 1 ------> (Credit: 6, Coefficient: 3, Nature: FOND)
Systèmes 1 -------------------------------------------------> (Credit: 4, Coefficient: 2, Nature: FOND)
Mathématique 1 -----------------------------------------> (Credit: 4, Coefficient: 2, Nature: FOND)
Gestion 1 ---------------------------------------------------> (Credit: 4, Coefficient: 2, Nature: FOND)
Soft Skills et Culture 1 ---------------------------------> (Credit: 6, Coefficient: 3, Nature: TRANS)
Unités Optionnelles ------------------------------------> (Credit: 6, Coefficient: 3, Nature: OPT)
Second Semester :
Algorithmique et Structures des Données 2 ------> (Credit: 6, Coefficient: 3, Nature: FOND)
Systèmes 2 ---------------------------------------------------> (Credit: 4, Coefficient: 2, Nature: FOND)
Mathématiques 2 -----------------------------------------> (Credit: 4, Coefficient: 2, Nature: FOND)
Gestion 2 ----------------------------------------------------> (Credit: 4, Coefficient: 2, Nature: FOND)
Soft Skills et Culture 2 ---------------------------------> (Credit: 6, Coefficient: 3, Nature: TRANS)
Unités Optionnelles -----------------------------------> (Credit: 6, Coefficient: 3, Nature: OPT)
Third Semester :
Programmation Avancée 1 -------------------------------> (Credit: 5, Coefficient: 2.5, Nature: FOND)
Conception et Base de Bonnées ----------------------> (Credit: 5, Coefficient: 2.5, Nature: FOND)
Digital Business --------------------------------------------> (Credit: 4, Coefficient: 2, Nature: FOND)
Statistique et AI -------------------------------------------> (Credit: 4, Coefficient: 2, Nature: FOND)
Soft Skills et Culture 3 ---------------------------------> (Credit: 6, Coefficient: 3, Nature: TRANS)
Unités Optionnelles -----------------------------------> (Credit: 6, Coefficient: 3, Nature: OPT)
Forth Semester :
Processus des SI ---------------------------------------------> (Credit: 4, Coefficient: 2, Nature: FOND)
Développement Informatique 1 ----------------------> (Credit: 5, Coefficient: 2.5, Nature: FOND)
SGBD et Administration des BDs --------------------> (Credit: 4, Coefficient: 2, Nature: FOND)
Management des SI -------------------------------------> (Credit: 5, Coefficient: 2.5, Nature: FOND)
Soft Skills et Culture 4 ---------------------------------> (Credit: 6, Coefficient: 3, Nature: TRANS)
Unités Optionnelles -----------------------------------> (Credit: 6, Coefficient: 3, Nature: OPT)
Fifth Semester :
Systèmes Intégrés ----------------------------------------> (Credit: 5, Coefficient: 2.5, Nature: FOND)
Génie Logiciel et Gestion de Projets ---------------> (Credit: 4, Coefficient: 2, Nature: FOND)
Développement Informatique 2 --------------------> (Credit: 4, Coefficient: 2, Nature: FOND)
SI Décisionnel ---------------------------------------------> (Credit: 5, Coefficient: 2.5, Nature: FOND)
Soft Skills et Culture 5 ---------------------------------> (Credit: 6, Coefficient: 3, Nature: TRANS)
Unités Optionnelles -----------------------------------> (Credit: 6, Coefficient: 3, Nature: OPT)
Sixth and Last Semester :
Projet de Fin d'Études -----------------------------------> (Credit: 10, Coefficient: 15, Nature: FOND)
Throughout my academic journey while taking a Licence degree in the Business Computing specializing in Business Information System at the High School of Digital Economy (ESEN Manouba), my commitment to excellence is reflected in my academic achievements.
In the First Year, I attained a commendable General Average of 11.5 with a total of 48 credits. Breaking it down further, I secured a solid 10.37 average and 24 credits in the First semester, followed by an impressive 12.62 average and 24 credits in the Second semester.
In the Second Year, my dedication persisted, resulting in a General Average of 11.3 and 51 credits. This was derived from a balanced performance in the Third semester, where I achieved a 10.86 average with 23 credits, and an even stronger showing in the Fourth semester with an average of 11.73 and 28 credits.
The Third Year marked a significant leap in my academic journey, culminating in a stellar General Average of 15.41 and 57 credits. This achievement was underpinned by outstanding performances in the Fifth semester, where I achieved a 13.55 average with 27 credits, and the Sixth and Last semester, where I excelled with a remarkable 17.27 average and 30 credits, showcasing my proficiency and dedication in the Graduation Project.
These results reflect not only my academic prowess but also my consistent effort and commitment to academic excellence throughout the program.
Dynamic Website : Angular / SpringBoot
Objectives :
The "Data Science and Software Development" Master allows professionals to deepen their knowledge in application development and acquire new expertise and efficient engineering in the field of big data. Indeed, in addition to Mobile and Web development which is of capital importance for the digitalization of businesses, the world of Data Science has also become crucial for all organizations.
Countless data sources today and continuously provide masses of central data and power many activities in our society. It is in this context that the "Data Science and Software Development" Master’s Degree offers a transversal and essential vision for exploiting this massive data. This area is understood here globally and includes Data Collection, Storage, Analysis, knowledge Extraction or Visualization for Decision-Making, application development, etc.
The Master "Data Science and Software Development" therefore aims to provide in-depth training on how to Design, Optimize and Implement web and mobile applications but also complex systems,. Recent developments in the fields of Big Data and Data Mining.
Professions :
The list of professions targeted below is inspired by the correspondence matrix of the Master DSSD course:
Data Analyst / Scientist
Database Administrator
Developer
Semesters :
Across the 4-semester training program, encompassing a total of 30 subjects, students engage in a comprehensive academic journey. The first 3 Semesters (n°1, n°2 & n°3) delve into the Data Science and Software Development (DSSD). With a total of 180 credits, the curriculum includes 21 fundamental subjects and 9 optional subjects, offering a well-rounded educational experience.
The Last Semester (n°4) culminates in the Graduation Project, providing students with an opportunity to apply their acquired knowledge in real-world scenarios, showcasing their proficiency and successfully completing the program.
Modules :
The list of professions targeted below is inspired by the correspondence matrix of the DSSD course :
First Semester :
Mathématiques -------------------------------------------> (Credit: 4, Coefficient: 2, Nature: FOND)
Informatique et Data -----------------------------------> (Credit: 7, Coefficient: 3.5, Nature: FOND)
Bases de Données --------------------------------------> (Credit: 6, Coefficient: 3, Nature: FOND)
Langue et Culture d'Entreprise --------------------> (Credit: 6, Coefficient: 3, Nature: FOND)
Analyse et Développement -------------------------> (Credit: 7, Coefficient: 3.5, Nature: OPT)
Second Semester :
Analyse de Données -------------------------------------> (Credit: 6, Coefficient: 3, Nature: FOND)
Science des Données -----------------------------------> (Credit: 6, Coefficient: 3, Nature: FOND)
Framework de Développement --------------------> (Credit: 7, Coefficient: 3.5, Nature: FOND)
Entrepreneuriat et Innovation ---------------------> (Credit: 6, Coefficient: 3, Nature: FOND)
Développement et Génie Logiciel ----------------> (Credit: 5, Coefficient: 2.5, Nature: OPT)
Third Semester :
Analyse de Données -------------------------------------> (Credit: 7, Coefficient: 3.5, Nature: FOND)
Sciences des Données ----------------------------------> (Credit: 7, Coefficient: 3.5, Nature: FOND)
Programmation ------------------------------------------> (Credit: 7, Coefficient: 3.5, Nature: FOND)
Langue et Culture d'Entreprise --------------------> (Credit: 5, Coefficient: 2.5, Nature: FOND)
Objets Connectés -------------------------------------> (Credit: 4, Coefficient: 2, Nature: OPT)
Fourth and Last Semester :
Projet de Fin d'Études -----------------------------------> (Credit: 15, Coefficient: 4, Nature: FOND)
Throughout my training in the Professional Master’s Degree in Data Science and Software Development at the High School of Digital Economy (ESEN Manouba), I have demonstrated continuous progress and a strong commitment to academic excellence.
In the First Year, I attained a commendable General Average of 10.75 with a total of 40 credits. Breaking it down further, I secured a solid 10.37 average in the First Semester and an improved 11.11 average in the Second Semester, with 20 credits in each one of them.
In the Second Year, my dedication and technical maturity reached new heights, resulting in an Outstanding General Average of 14.38 with 53 credits. This was underpinned by strong performances throughout the year, where I achieved an impressive 12.67 average with 23 credits in the Third Semester and a remarkable 16 average with 30 credits in the Fourth and Final Semester, excelling particularly in advanced modules for which I received an (Assez Bien) mention.
These results reflect not only my academic progress and analytical abilities, but also my sustained effort and commitment to excellence throughout my Professional Master’s degree.
RAG based / React / Flask / Docker