Data Science & Business Analytics Master

Revisión de los conceptos claves de programación necesarios para abordar el tratamiento y aprovechamiento de los datos mediante código. Presentación de las capacidades que ofrece Python.

1. Fundamental concepts of Python and libraries for data science: Numpy, Pandas.
2. Python intermediate and advanced.
3. Data processing and visualization with Python.

This module examines what databases are and discusses the main types. Students explore the world of relational database modeling and learn to program in SQL. In addition, the module looks at ETL processes and how they are designed and implemented.

• Database design
• SQL Standard I
• SQL Standard II
• El almacén de datos / Datawarehouse y Herramientas y procesos de extracción, transformación y carga ETL»

Review of the life cycle of data and how it affects the data analysis process. Students also explore the world of data visualization and learn to design dashboards in PowerBI.

1. Data quality and life cycle
2. Data preparation and pre-processing
3. Visualization tools and techniques I
4. Visualization tools and techniques II

This module examines big data analysis as a tool to address key research questions and issues. Students will understand what is meant by big data, how it has developed over time, the causes that have led to the emergence of big data technologies and how it compares with traditional business intelligence.

1. Introduction to the world of big data
2. Business intelligence vs big data
3. Big data technologies
4. The value of data and applications across sectors

Discover and use the tools that comprise the ecosystem in order to process vast quantities of data. These include Spark, Hadoop, and NoSQL databases.

1. HADOOP and its ecosystem
2. SPARK
3. NoSQL databases
4. Cloud platforms

In this module students learn the fundamental concepts of programming in R, a programming language for statistical computing. The main statistical concepts essential for data analysis are also introduced here.

1. Introduction to statistics
2. Probability and sampling
3. Inference and lineal regression
4. Experiment design

Students learn the fundamental concepts and algorithms of machine learning, one of the cornerstones of data science and artificial intelligence.

1. Machine learning tools and the techniques and applications of supervised learning
2. Techniques and applications of unsupervised learning
3. Deep learning models and techniques
4. Cloud solutions for machine learning

The purpose of the Directed Research I module is to enable students to see that research is a systematic and ordered process aimed at managing knowledge. Consequently, during every academic training process, it is essential to carry out research work that is geared towards the needs of a given context and that demonstrates the student's research capabilities.

1. The research question.
2. The rationale for the research.
3. Establishing research objectives.
4. The contextual and temporal scope of the research.

Comprender el concepto de inteligencia artificial, su significado y el tipo de problemas que puede resolver. Identificar las técnicas para la toma de decisiones (sistemas expertos y aprendizaje supervisado), así como sus aplicaciones. Analizar el aprendizaje por refuerzo, su ciclo de vida, sus componentes más importantes y el tipo de problemas que resuelve…

Artificial intelligence and applications in decision making. Reinforcement learning and its applications. Techniques and applications of natural language processing (NLP). Recommendation systems and applications.

Analysis of the concept of the digital transformation from the point of view of the technologies that drive it, with a special focus on the following trends: Big Data, Artificial Intelligence, Blockchain, Internet of Things, Industry 4.0 and Smart Cities.

The Digital Transformation. Blockchain. Internet of Things. Industry 4.0 and Smart Cities

How analytics can be applied to specific scenarios. Discovering how specialized analytical methods can be applied to different types of data.

Scalable analytics. Analysis of social networks and the Internet of Things. Analysis of the financial area and customer service. Analysis of information retrieval techniques.

• Recognizing types of research in line with the knowledge generated.
• Study of research designs.
• Study of the techniques and instruments of data collection during the research process.
• Study of the criteria that characterize the study units and study population.
• Building data collection instruments.
• Applying reliability and validity tests to the data collection instrument(s).
• Collecting data according to the criteria defined in the study.
• Understanding the data analysis process and its stages.
• Identificar las técnicas de análisis a utilizar según los códigos de los datos (códigos verbales o numéricos)»

Data collection techniques. Data collection instruments. Research study units and study population. Instrument validity and reliability procedure. Data analysis techniques.

At Master's level, the written work must be presented and students must generate scientific products from their research experience. Students are responsible for organizing the presentation of the written work.

Introduction Formal issues relating to the presentation of the work. Institutional procedures. Viva voce. Publication.

Once you complete and pass the programme you will receive a diploma issued by IMMUNE Technology Institute in a digital format verifiable through blockchain technology.

Yes, the program is delivered online with live classes. As such, you will be in direct contact and under the supervision of the teachers, which will enable you to follow the classes and interact in a flexible and natural way.

Do you want to level up?

Do you want to stay in your field or sector, but you want to continue learning and explore new challenges? It's time to give your professional profile a boost and align it with the latest trends in technology.

Are you finishing your degree, and you want an upgrade in technology?

We love your profile, because you dare to dream. And in the professional world, fortune favors the bold. If you are an entrepreneur or freelancer, this program will help take your professional projects to the next level.

Want to change your professional career?

If you want your career to take a new direction and enter the world of tech with a bang, the program will help you specialize and shape your professional profile.

Are you an entrepreneur or freelancer?

This program will put you in the spotlight, as technology is the engine of innovation and the key to staying competitive in a constantly evolving market.

The tools used throughout the program are licensed for free use, in some cases because we use educational licenses and in others because it is free software.

We have an employability area which, through our Talent Hub program, is responsible for supporting the efforts of our students to enter the employment market. The services we offer include resources to help you search for and prepare for interviews, English tests, resume and/or Linkedin profile guidance, interview and elevator pitch training, and access to our exclusive internship and employment pool.

You will need to have access to a laptop with a camera, microphone and minimum requirements of 8 GB of RAM and an i5 processor.

The final project is where everything you have learned throughout the program is applied and consolidated. You will present the project to a panel of professionals from companies in the sector, which represents a unique opportunity for students to demonstrate their knowledge to potential employers and also to network.

Yes, there are scholarships or study grants as well as financing options depending on students’ circumstances. Check out our scholarship and financing options.