Description
The Master in Data Science is aimed at university graduates who wish to specialise in one of the most highly sought-after professions in the 21st century. The programme, designed to respond to the challenges faced by corporations struggling to manage ever-growing volumes of data, offers a wide range of career options.
The Curriculum combines courses on technology, programming and data science with others like data analysis and management. It uses a very practical approach, providing students with constant opportunities to apply what they have learned to real-world data management challenges.
Curriculum
CUNEF Universidad Master in Data Science consists of 60 credits, distributed as follows:
- 42 ECTS (compulsory courses)
- 12 ECTS for Internships
- 6 ECTS for the Final Dissertation
| COURSE | ECTS | TERM |
| Principles of Data Analysis and Research | 3 | Fall |
| Programming Tools for Data Science | 6 | Fall |
| Logic | 3 | Fall |
| Machine Learning | 6 | Fall |
| Visualisation Techniques | 3 | Fall |
| Neural Networks and Deep Learning | 3 | Fall |
| Time Series and Forecasting | 3 | Fall |
| Extraction, Transformation and Loading | 3 | Fall |
| Data Science for Unstructured Data Management | 3 | Spring |
| Legal Aspects of Data Management, Professional Ethics and Data Governance | 3 | Spring |
| Data Science Applied to Business | 6 | Spring |
| Internships | 12 | Spring |
| Final Dissertation | 6 | Spring |
CUNEF Universidad has strong connections to the business and professional world. Our Careers Department actively manages internship programmes and job offers, and organises seminars and other complementary activities. Their goal is to provide students with all the necessary tools and skills and offer the best possible opportunities, in an effort to help them find their first job and kickstart their career.
