Executive Master's Degree in Big Data Science

The UIC Barcelona Executive Master's Degree in Big Data Science is the programme for you if you are a professional who would like to develop further in the fields of Big Data and Advanced Analytics. We will teach you to take decisions in business environments that involve a high volume of data generated at great speed, in which the extraction of knowledge is key. Based on advanced analytical techniques (predictive and prescriptive), visualisation and the design of suitable environments and architecture, we will provide you with the knowledge to tackle Big Data projects.
This Master's degree involves theoretical and practical on-site classes to provide analytical and technological guidance in classes taught by well-known professionals from the sector, which include undertaking practical exercises in real environments. The classes are taught on-site, except the final project, and the methodology that will be used is learning by doing, in order to ensure the acquisition of competences.
At the same time real cases are studied for project-based practicums. You will undertake your Final Master's Degree Project based on the support and supervision of a tutor/professional supervisor and you will work using the tools and datasets involved in real business situations.

1. Business intelligence (BI) and Data analysis
2. Data Science
3. Languages and Tools for the Data Scientist
4. Data analysis: Statistical methods
5. Data Analysi: Machine Learning
6. Visualisation
7. Big Data Technology and Architecture
8. Project management in Big Data context

Aimed at:
This Master's degree is right for you if you'd like to move towards Big Data and Data Analysis. It is aimed at professionals from different business areas and specialisations: Marketing, Communication, Journalism, Law, Innovation, Finance, HR and Operations, etc.

Admission Requirements
To get the most out of classes, students should have some experience with the following skills:

• Data analysis and traditional statistical methods.
• Basic knowledge of programming and algorithms, preferably Java.
• Knowledge of databases: Relational databases (SQL), administration of databases and operating systems.

The admission process includes a personal interview with the person responsible for the training programme. It will be used to assess and clear up any queries about the prerequisites and skills required to do the master's programme.