Program Overview
The Master's in Big Data equips graduates with advanced skills in data analysis, machine learning, and cloud architectures. Through hands-on learning and collaborations with industry experts, students develop expertise in managing and processing vast data volumes and preparing for AWS certifications. This program prepares graduates for in-demand careers as Data Scientists, Data Architects, and Experts in Data Analysis and Machine Learning.
Program Outline
Degree Overview:
The Master's in Big Data is a course that covers Big Data analytics. It is designed for engineers, statisticians, mathematicians, or data analysts with a vocation in the field of ICT, seeking to expand their knowledge in storage techniques and distributed information processing, as well as big data analytics and visualization.
Objectives:
- Learn to apply cutting-edge technologies in Data Science and Machine Learning.
- Become an expert in managing large volumes of data and infrastructures, machine learning, and the analysis of business management processes.
- Prepare for the AWS Certified Machine Learning Specialty during the module on data processing and machine learning.
Teaching:
- The program includes experiential learning through real cases from first-level multinationals.
- Students will participate in simulations and role plays.
- A main one with more than 25 homogeneous processing nodes and 2TB of ram memory.
- A secondary one formed by 4 server machines with high processing and memory capacities (multicore, +64GB per node).
- Both clusters have Apache Hadoop, HDFS, Apache Spark, and Hive or Impala noSQL database access languages/tools.
- Students will benefit from collaboration agreements between Universidad Europea and prestigious companies.
- Students will be able to develop their final Master's project on real projects proposed by these companies and receive help and advice from specialists in the sector.
- LinkedIn includes Big Data specialist in its top 10 most in-demand jobs, with more than 360,000 vacancies.
- In its Emerging Jobs 2020 report, LinkedIn calculates a figure for the annual growth of the most promising professions. In the case of Data Scientists, the annual growth rate will be 47%.
