Master in Data Science for Business
Murcia, Spain
DURATION
10 up to 10 Months
LANGUAGES
English
PACE
Full time, Part time
APPLICATION DEADLINE
Request application deadline
EARLIEST START DATE
Feb 2025
TUITION FEES
EUR 12,900 / per course *
STUDY FORMAT
Distance Learning, On-Campus
* Double Degree
Introduction
The face-to-face Master's in Data Science for Business at ENAE Business School enables students to apply the new technologies associated with the Big Data phenomenon and modern tools for predictive analysis and data visualization.
Developed based on five areas, it provides students with a global vision of this discipline oriented towards data and information management:
- Data management.
- Business Analytics.
- Big Data.
- data science.
- Leadership and management skills
This master's degree can also be studied by combining the best of face-to-face and online modality in our edition of the Master in Data Science For Business Blended.
More interactive, more globalized, more digitized
Choose the modality that best suits you.
| Face-to-face modality | Live Class mode | Blended mode |
| Face-to-face classes two days a week, generally on weekends, Friday afternoon and Saturday morning. | 100% interactive, synchronous training (live). Follow the classes from home or from the office and interact with the teacher and your classmates as if you were in the classroom. | Videoconferences to monitor the master's degree and face-to-face classes during the 2-3 weeks of the face-to-face phase in Murcia. |
Goals
- Provide knowledge about processes and technologies designed to optimize and improve the performance of a company, with a special focus on Business Intelligence (BI) type tools.
- Prepare for the challenges represented by the Big Data phenomenon, its foundations, associated technologies and the ideal way to tackle Big Data projects by companies.
- Enable the use of predictive analysis tools and Data Science.
- Understand all the possibilities and advantages of data management and analysis for companies.
Curriculum
Methodology
- Internship program
- Experience-based learning (ENAE active methodology)
- Learning
- Training
- Networking
- Experience
- Real cases
- Tutoring assistance
- Bussines plan
Get ready for the journey
Know more about the programme.
- Fundamentals Of Data Science And Big Data
- Enterprise Data Warehouse based on Relational Database Management Systems. SQL Language
- Fundamentals of statistics for Data Science
- Tools for Data Science I. Python Language
- Tools for Data Science II. R Language
- Dashboards and Reporting
- Data Mining and Unsupervised Machine Learning
- Data Mining and Supervised and Semi-supervised Machine Learning
- Big Data Paradigm
- Deep Learning Applied to Business
- Cognitive Services and Machine Learning for Big Data in the Cloud
- Time Series
- Data Lake and NOSQL Databases
Rankings
- + 500 students around the world
- + 65 companies created by our students
- 95% of students working after graduation
Program Tuition Fee
Gallery
Program Admission Requirements
Show your commitment and readiness for Grad school by taking the GRE - the most broadly accepted exam for graduate programs internationally.