Duration
1 year
Training structure
Faculty of Economics
Presentation
- Teaching fields : Economics, management, business administration
- Type of diploma: DU
- Keywords: Economy
- Mr Thierry BLAYAC, Professor, tel. 04 34 43 24 81
- Study abroad opportunities: No
- UFR : UFR of Economics
- Type of training: Initial and continuing training
Objectives
The aim is to provide students with complementary computer skills at five levels: Networks and Information Systems, Databases, SAS software, Programming and Advanced Excel. The course has a dual focus: general computing (Networks and Information Systems, Databases, Programming) and applied computing for the social sciences (SAS software, Advanced Excel).
Know-how and skills
By the end of the course, students will have acquired solid skills in statistical and econometric data processing, database management (organization, manipulation and querying), programming, and networks and information systems.
Organization
Internships, tutored projects
Internship | Possible |
|---|---|
Length of internship | 6 months maximum (924h) |
Internship abroad | Possible |
Duration of internship abroad | 6 months maximum (924h) |
Optional internships of between 1 and 6 months maximum (subject to conditions)
Find out more about : Internships
Program
Teaching :
- Computer networks and information systems (25h CM) ;
- Data Mining and Data Warehouse (15h CM + 15h TD) ;
- SAS Base, SAS Data Analysis and SAS Econometrics (38h CM +38h CM) ;
- Python programming (10h CM + 15h TD) ;
- Advanced Excel (5h CM + 20h TD) ;
- Collaborative project (30h TD)
- Optional internship (1 to 6 months).
Admission
Access conditions
1- Recruitment by application.
To apply: Application for the University Diploma in Economics
2- After reviewing the application and acceptance :
- Registration Office C115 bis from September
3- Registration fees :
(see registration desk)
* Initial training :
People wishing to complete their computer training.
** Continuing education :
Employees (research managers, researchers, statisticians, research engineers, project managers, IT technicians, etc.) or jobseekers (diploma exemption possible depending on professional experience).
And then
Professional integration
Thierno Aguibou CAMARA's opinion on training:
Analyst Engineer in the food industry
"It's quality training, training that's very interesting! Data analysis is practiced regularly, spontaneously and intuitively. The training enabled me to understand the usefulness of data analysis in the professional environment, how it could be used to improve business performance.
Although I was trained as an engineer in the food industry, the training I received further enriched my perception of industrial data, improving my decision-making based on the data generated and analyzed. This enabled me to apply for the position of analyst engineer in the food industry.
Indeed, thanks to this teaching based on a practice-oriented approach, I was able to acquire solid knowledge and skills. I can highly recommend the course to anyone wishing to progress in a caring and professional environment."