Organizational Computer Science
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The Bachelor’s program in Organizational Computer Science covers various aspects of information processing. Its objective is to provide students a solid education in information science, theoretical tools for the analysis of complex systems, and skills in the area of business administration. This major is particularly professionalizing in nature; one internship and coursework in two living languages are mandatory. The goal of this major is nonetheless for students to continue on to a Master’s degree, particularly the Master’s in Informatics at Dauphine - PSL.
- Solid training in informatics, with particular focus on links to mathematics, economics and business administration.
- Knowledge of algorithms, programming (Python, Java, C), databases, networks, and numerous computer science tools (PHP, HTML, Excel).
- Advanced ability in optimization and decision support.
- Skills in economic and financial modeling.
- General education in economics and finance, useful for students’ future professional careers and the ability to understand major economic challenges and issues of debate as citizens.
- Ability to work in English (English classes every semester).
- Experience working in groups (projects).
- Written and oral expression skills (courses in techniques of expression, presentations, oral defense of projects).
- Initial corporate experience (mandatory corporate internship).
Additionally, students are encouraged to reflect on their academic and professional futures (regular information sessions about academic and professional opportunities for each year of the program, contact with the corporate world through forums at Paris Dauphine, overview talks by visiting professionals, resumes and job interviews in English, discipline-specific association for students from all classes).
The Bachelor’s in Organizational Computer Science is a three-year program. At the close of the first two years, students receive a Bachelor’s degree in Mathematics/Informatics/Economics (MIE). The L3* year for Organizational Computer Science takes one of two tracks: the MIAGE and Decision track (traditional track) or an open apprenticeship MIAGE track.
Tracks and electives:
Each year, students must complete required core courses plus a number of electives.
All first-year students take the same classes, which provide a solid foundation in mathematics and informatics (where students learn the basics of programming and algorithms and are first exposed to networks and databases). Students planning to continue on to the L3 in Organizational Computer Science follow the Mathematics/Informatics track in their second year. At the close of the first two years, students have the necessary aptitudes for taking the L3 year in Informatics where they will further deepen their knowledge in the areas of informatics and operational research (information systems engineering, databases, networks, Java programming, linear programming, graphs, decision-making models).
Most core courses are taught in lecture format, combined with smaller seminars or practicums. Language classes, some electives, and some first-semester L1 courses take place in small seminar format.
L1: Initial Track
L2: Mathematics/Economics Track
L2: Mathematics/Informatics Track
L3: MIAGE Apprenticeship Track
L3: MIAGE and DECISION Track
The program educates future professionals who will run projects for organizations and/or conduct business intelligence and operational research (project manager, information technology consultant, R&D engineer, etc.). Graduates may also move on to research and teaching.
Prerequisites for Year 1 (L1)
— Baccalaureate diploma in any category (category S recommended) or equivalent for international students
— Solid foundation in mathematics
— Good general knowledge
Application to be completed on the Parcoursup platform
Prerequisites: Baccalaureat or equivalent for international students
Admission process: on application
Tuition fees: More information
School for registration: Dauphine - PSL
Diploma delivered: Institutional Bachelor’s degree conferred by Université PSL.
Brice MAYAG - firstname.lastname@example.org
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