Master Data Science Online

Review of the key programming concepts required to approach the treatment and use of data through code. Presentation of the capabilities offered by 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.

In this module, we will learn what databases are and the main types that exist. We will enter the world of relational database modelling and learn to programme in SQL. Furthermore, we will study what ETL processes are and how they are designed and implemented.

• Database design
• SQL Standard I
• SQL Standard II
• The Data Warehouse and ETL (Extract, Transform, Load) Tools and Processes»

This part of the Online Master's in Data Science delves into the data lifecycle and how it affects analysis. It also introduces students to data visualisation and dashboard design using tools like Power BI.

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 of the online Data Science Master's, you will learn the fundamentals of Programming in R, a programming language for statistics. In parallel, the main statistical concepts that are essential for data analysis will be introduced.

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

This final project of the Master’s puts the knowledge and skills acquired by students into practice by applying it to a real-world case and with data connected to the business world. It is a mandatory component within the scope of the final part of the study plan and is carried out under the supervision of an assigned tutor. Students must also undergo a viva voce exam of their capstone project.

Once the Online Master's in Data Science is completed and passed, you will receive:

• Online Master's Degree in Data Science by IMMUNE Technology Institute.
• Master's Degree in Data Science (Online) awarded by Instituto Nebrija.

Non-regulated and non-official education. The degrees of this training are protected by the Organic Law on Universities.

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.

The online Master's in Data Science and Big Data is aimed at professionals who want to grow their careers through technology and data.

Do you want to level up?

If you want to stay in your field, but with a more analytical profile and prepared to work with information, automation and data-driven decision-making, this training will help you update your skills and gain prominence.

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're looking for a career change into a field with more scope, this specialisation will help you acquire technical and business skills to join advanced analytics, business intelligence, or data science projects.

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.

It is the final project for the Master's in Online Data Science, where all that has been learned in the programme must be applied and consolidated. The final presentation of this project is made before a panel of professionals from companies in the sector and constitutes a unique opportunity for the student to demonstrate their knowledge to potential employers and network.

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