| Modality | Online Self-Driven Learning |
|---|---|
| Duration | 1 Year |
| Language | Spanish |
| Places available | 30 |
| Credits | 60-ECTS |
| Start Date | 09 October 2023 |
| Schedule | 100% Flexible |
| Location | Barcelona |
Data has become a key and is one of the competitive levers that can have the greatest impact on the future of any company.
The Online Master's Degree in Data Science is aimed at professionals from any sector who want to learn how to extract valuable information from data that can be used to make day-to-day business decisions. In the master's degree you will learn to explore, analyze, and communicate data in an effective way to help in the transformation of companies.
Currently, in the technological environment of business, two very different profiles of professionals coexist; on the one hand, the engineers specializing in the processing and extraction of data generated by the business and, on the other, the managers who need to optimize the company operation based on the conclusions obtained from the extracted data.
With the knowledge acquired in the master's degree, the student will be able to foresee risks, visualize opportunities, analyze the viability and profitability of new products, as well as better understand the operation and relationships between work teams.
We train you to achieve maximum specialization in data science. Build predictive models and draw conclusions using general-purpose metaheuristics, data mining, and data management analytics.
The Online Master's Degree in Data Science is taught entirely online with the new Online Self-Driven Learning methodology, which is flexible. The assigned tutor will help you propose the best learning strategy in a personalized way, based on your flexibility and your professional profile.
This official university Master's degree from La Salle Campus Barcelona has a combination of active professional experts together with disseminators, academics and researchers that makes it a unique program, in which our two faculties and the IoTICAT, Internet of Things Institute of Catalonia, collaborate: On the one hand, the strategic area by the International Faculty of Commerce and Digital Economy of La Salle, with more than 30 years training international leaders, and on the other hand, the technological area by La Salle Higher Technical School of Engineering, with more than 50 years of experience training engineers and technologists.
The program is associated with the Data Sience for Digital Society Research Group (DS4DS) with several lines of research: Artificial Intelligence, Machine Learning and Applications to Data Analysis, Data Analysis for Business and Management and Data Analysis for High Energy Physics.
Because data is necessary, but without good managers, data is worthless.
For more than 4 years we have been training Data Scientists with the Master´s in Data Science, aimed at engineers and technicians. This program obtained 4 stars in the prestigious QS STARS International Program. This recognition proves the teaching quality and competitiveness of La Salle Campus Barcelona and consolidates our international prestige.
Technological Online Campus. Designed on the experience of La Salle campus in the fields of technology and business management, to be competitive in a digital business environment.
COURSE WITH FUNDING AVAILABLE FOR COMPANIES
Did you know that your company can invest in your training?
Through FUNDAE (State Foundation for Employment Training) your company can benefit from a credit to encourage your professional development, thus improving productivity and competitive advantages.
From La Salle-URL we will provide you with all the information so that you can process and manage this bonus with your company.
"This online program offers a practical approach to the most used models in Artificial Intelligence. Focusing on business, with a holistic vision and based on data obtained from day to day."
“Data allows us to make good and bad decisions. Therefore, the key is not to have information, but to know how to deal with it, manage it, view it, explain it and interpret it properly. And the necessary tools are based on artificial intelligence and statistics. The science of data.”
