Study plan

Prework

This Prework stage introduces concepts that the program will take to greater depth, so students are well grounded from the first day and the entire group has an even level, which allows for further and better progress, as well as improving cooperation between all participants.

Computer basics: Concepts including hardware and software, CPU, memory, storage devices, operating systems and networks.
Introduction to programming languages: Explanation of what a programming language is, what it is used for, and the types of languages that exist (compiled and interpreted). An overview of the most commonly used languages today, and why they are used.
Fundamental programming concepts: Discussion of variables, data types, operations, control flow structures (if/else, loops), and functions. How to break down a complex problem into smaller, more manageable subproblems. Issues are explained in a basic way to avoid overlapping with the Programming Fundamentals module (with Python).
Development tools and good practices. Introduction to the use of an IDE, such as PyCharm or VSCode, as well as notebooks. Discussion about version control with Git. Underlining good programming practices, such as the importance of commenting code and following style conventions (Pythonic Code).
Introduction to data structures: Overview of concepts such as arrays, lists, sets, dictionaries/maps and trees. The focus is not confined to a specific programming language, but also at pseudocode level. The aim is for students to understand what they are, what they are used for, and when it might be appropriate to use one data structure over another.
Fundamental database concepts: Explanation of what a database is, what it is used for, and the various types that exist (e.g. relational and non-relational databases). Introduction to key concepts such as table, record, field, primary key, and relationships between tables.

Data Scientists’ Tools

50h.

Review of the key programming concepts needed to process and use data by means of code. Introduction to R programming language and an extensive overview of the capabilities that Python offers.

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

Business Intelligence and Visualization

80h.

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
The data warehouse and ‘extract, transform and load’ (ETL) tools and processes.

Data Science. Data Analysis, Mining and Visualization Techniques

80h.

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.

Data quality and life cycle
Data preparation and pre-processing
Visualization tools and techniques I
Visualization tools and techniques II

Impact and Value of Big Data

80h.

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.

Introduction to the world of big data
Business intelligence vs big data
Big data technologies
The value of data and applications across sectors

Big Data Tools and Technology

80h.

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

HADOOP and its ecosystem
SPARK
NoSQL databases
Cloud platforms

Statistics for the Data Scientist

80h.

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.

Introduction to statistics
Probability and sampling
Inference and lineal regression
Experiment design

Artificial Intelligence: Machine Learning and Deep Learning

64h.

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

Machine learning tools and the techniques and applications of supervised learning
Techniques and applications of unsupervised learning
Deep learning models and techniques
Cloud solutions for machine learning

Capstone Project

50h.

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.

*The academic program may be subject to changes in line with the changing demand for specific skills in the market. Your employability is our goal.

Storytelling as a pedagogical tool

A unique learning experience

Have you ever imagined being part of the giants of the tech industry? Do you want to become an expert in data analysis, capable of solving complex problems and making strategic decisions based on data? With this master's program, you'll experience an immersive educational journey and dive into the exciting world of Big Data and Artificial Intelligence.

Through a practical approach and based on storytelling, our program will allow you to test the knowledge you've acquired in a simulated professional environment.

We rub shoulders with the best

Ana Patricia García

Master's in Data Science Director | IT Internal Control Officer

Javier Castellar

Professor

Layla Scheli

BI, Big Data and Data Science Analyst

Leon Beleña Lamor

PhD Inteligencia Artificial. Senior Data Scientist.

Pablo Hidalgo García

Freelance Data Scientist and Professor

Víctor Manuel Tenorio Gómez

PhD research student

Certification training

Con este programa adquirirás las competencias necesarias para trabajar en un entorno profesional. Para que puedas demostrarlo, IMMUNE te prepara para certificarte en:

Career opportunities

Certifications

Microsoft Certified

DP-900 Azure Data Fundamentals

IT Specialist

Data Analytics

Communication Skills for Business

PMI Project Management Ready™

IMMUNE Technology Institute

Data Science Master

Academic information

Start from scratch to become a specialist in Data Science, Artificial Intelligence, and Machine Learning. Through programming languages such as R, Python and SQL, you will be able to apply data science strategically across sectors including banking, marketing, CRM, finance, logistics, or HR. You will have the skills to manage projects based on data science and big data, and to lead advanced analytics initiatives across all areas of the business.

Program aims

Programming languages: Python and SQL.
Extract, process and analyze data for decision making using the latest techniques and tools.
Learn to manage projects based on data science and big data. Promote advanced data analytics initiatives across different areas of the business.
Get a comprehensive and transversal vision of big data and cloud solutions.
Generate reports, dashboards and visualizations of data.
Anticipate and detect patterns, trends and causes using predictive analytics and machine learning.
Master the strategic application of data science in areas such as marketing, CRM, banking and finance, operations, HR, and the IoT among others.

Professional skills

As a specialized data scientist, you will be prepared to take up the following opportunities : Data scientist, data analyst, data engineer, expert in data visualization, expert in data storage and processing architectures, expert in machine learning, expert in business intelligence, Chief Data Officer (CDO), business analytics, business intelligence. Through the Data Science Master’s Course Online, you will gain the technical knowledge required to obtain the following qualifications and certifications: AWS Certified Data Analytics, Google Data Analytics Certificate, IBM Data Analytics Professional, Associates Certified Analytics Professional (aCAP), Professional Certification BigML Certified Engineer.

Career Readiness

The comprehensive training we deliver to our students thoroughly prepares them for the employment market. Through a personalized syllabus, we help them develop professional skills, establish relationships with companies and sail through recruitment processes.

An alternative training

In all our content, we include a percentage of Human Sciences to connect technology with soft skills.

Learning By Doing Methodology

It focuses on the practical application of knowledge and skills to foster meaningful and lasting learning.

Learning paths

With IDEIA, we design customized learning paths, tailored to your experience and goals. This ensures efficient progress, focused on what you truly need.

Nuestros learning paths te guían desde el nivel básico hasta convertirte en experto en tu área de interés. Son itinerarios estructurados y flexibles, ajustados a tu ritmo, para que alcances tu máximo potencial personal y profesional.

Admission test

This questionnaire will allow us to get to know your profile in depth and ensure that this course is perfectly suited to your level of knowledge and expectations, guaranteeing that you get the most out of our program.

Why should you take the test?

To assess your prior knowledge.
To ensure that this course is the right fit for you.
To offer you a personalized and unique learning experience.

How does it work?

The test is completely online, requires no prior preparation, and will take no more than 25 minutes.

Take the test

Financing

Full payment

Si realizas el pago en una sola cuota te beneficiarás de un 20% de descuento.

12 interest-free instalments

Sequra

Pay in installments, even if you are unemployed and cannot guarantee the loan.

Quotanda

Pay in installments, even if you are unemployed and cannot guarantee the loan.

Fundae

Pay for your training through the Spanish Employment Training Foundation. Aimed at active workers who wish to finance their program through the subsidized training program.

FAQs

What certification or qualification will I receive on completion of the course?

Una vez finalices y superes el programa recibirás:

Título en Máster en Data Science por IMMUNE Technology Institute.
Título en Máster en Data Science emitido por el Instituto Nebrija.

Enseñanza no reglada y sin carácter oficial. Los títulos propios de esta formación están amparados por la Ley Orgánica de Universidades.

This program is for you if

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.

What are the admission requirements?

It is not necessary to demonstrate any prior training for admission, only to go through the admission process consisting of an evaluation of your resume and a personal interview with our admissions team.

Will the tools I need be included in the price of the program?

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.

Is there a careers and employment guidance service?

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.

What are the requirements for my computer?

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.

What is the Capstone Project?

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.

Can the course be delivered online?

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.

Are there grants or scholarships available?

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