With the entry of the new specialty, the division into ECTS credits is as follows:
The duration is of 90 ECTS (a course and a quarter)
- First course: 60 ECTS in subjects required
- 12 ECTS in management
- 48 ECTS of computer technology with training in Big Data
- Second course:
- General route: 15 Optional ECTS
- Big Data: 15 Specialty elective ECTS BigData
- 6 ECTS credits in internship and
- 9 ECTS at the end of Master work
It encourages participation in company with the dual education company + University: mornings will work in a company-paid form and in the evenings there will be teaching from the Master. Intends that you a time completed the Master, continue working in the company.
Overview of the contents of the subjects:
Subject | Content | Observations |
Technology for Big Data | Languages for Big Data | R, Python |
Distributed analysis tools | Introduction to MapReduce Apache Hadoop Apache Spark Hadoop ecosystem: Pig, Sqoop, Storm Apache Mahout | |
Infrastructure for Big Data | Cluster Linux for Big Data Monitoring | |
Cloud Platforms | Amazon's Elastic Compute Cloud (Amazon EC2) Google App Engine Microsoft Azure OpenStack | |
Scalable storage | Scalability | Sharding and database clusters |
HDFS storage | Hive | |
Storage in database NoSQL | Key/value storage Document storage Storage graph Big-table | |
Technologies | Cassandra, MongoDB, CouchDB, Neo4J, GraphDB, HBase, Elasticsearch | |
Big Data: business intelligence | Big data in decision support systems | |
Creation of reports and scorecards | ||
Cases of integration of information sources | Preprocesado Web Data Big data in multimedia systems | |
Legal aspects and ethical regulators |