Degree in Data Science and Artificial Intelligence

The projects you will carry out during the degree will reinforce the theoretical contents learned in class. Some examples are:

• Customer segmentation based on buying behavior for personalization of marketing strategies.
• Development of intelligent agents that learn to play and improve in a simple game.
• Implementation of a recommendation system for a content platform.
• Development of a prototype virtual assistant for specific tasks.
• Classification of images and identification of objects in them.
• Sentiment analysis in social networks to identify positive or negative attitudes.
• Data visualization projects to explore trends and patterns.

You must have the ability to think logically and analytically to be able to find the algorithm that solves a problem and be able to process data effectively.

You need to have basic programming skills to be able to implement Artificial Intelligence and Data Science techniques.

Curiosity is essential as this is a constantly evolving field and having a proactive attitude is the key to not being left behind.

Be able to work in a team as most of the projects in the industry involve several profiles for their development.

You will use several programming languages, including C++, C# or Python along with their most used libraries.

You will learn how to use the main development environments such as Express.js, Visual Studio, TensorFlow, Anaconda, NLTK, Apache and Eclipse.

You will use software development tools such as SQL Server, MongoDB, OpenCV and Tableau.

Because at UDIT we offer you a unique and winning methodology. Based on a vocation for creativity, innovative and current curricula, the incorporation of technology and innovation as the backbone, training based on real projects and critical thinking instilled by the faculty.

The market currently demands professionals capable of understanding, developing and implementing data-driven solutions that enable companies to make better decisions and increase the value contributed to society.

The degree is an intersection between data science and artificial intelligence. Data science is in charge of extracting information from data through different types of analysis and algorithms while artificial intelligence interprets, learns and makes decisions based on the collected data.

By taking the Degree in Data Science and Artificial Intelligence, we will provide you with access to the exam that allows you to obtain the Microsoft Azure Fundamentals certificate.

• Azure AI Fundamentals: Allows you to get the first level in the Microsoft-generated path for artificial intelligence engineers. It provides an overview of the implementation of the main artificial intelligence algorithms in Azure.

If you come from the Spanish educational system, you must meet at least one of the following requirements to study this degree at UDIT:

• To have passed the University Entrance Exam (EVAU) with a grade of APTO.
• Students coming from a Higher Level Training Cycle or FP II.
• Students entering from completed Spanish university studies.
• Students accessing through the University Entrance Examination for those over 25 years of age, for those over 40 years of age and for those over 45 years of age.

Students from educational systems outside Spain:

• Students from pre-university education systems of European Union member states and countries with reciprocity agreements.
• Students in possession of the International Baccalaureate Diploma.
• Students from foreign pre-university education systems.
• Students with foreign university studies who access through homologation of their studies.
• Students with official foreign university studies completed or not yet completed, who gain access through official validation.

The first step is to request information, you can do it through the web, by phone at 91 555 25 28 or by email: orientación.universitaria@udit.es.

The next step is to perform the level test, whose objective is to know the student’s academic competencies, allowing the detection of reinforcement actions before the beginning of the course.

Once you have taken the test and have been notified of your admission to UDIT, make a registration reservation to guarantee your place for the next course.
Places are awarded on a first-come, first-served basis.

Yes, all the degrees offered at UDIT are official and internationally recognized.

You must be careful with other degrees offered in the market as “Official Degrees” that in reality are not. To check if a degree is official, you should consult the website of the RUCT (Registro de Universidades, Centros y Títulos), an official body belonging to the Ministry of Universities that oversees academic organization and university officialdom.

Of course, by offering you an official degree, you can apply for all public scholarships for this type of degree.
In addition, official scholarships are compatible with our internal study grants. If you have a good academic record or if creativity is part of your DNA, do not hesitate to apply for all of them.
You can check the details in this link.

All our Degrees start from scratch, so it is not necessary to take a specific type of baccalaureate. Even so, if you have any doubts, you can consult this article for more information.

It is true that, due to the typology of our degrees, it is usually recommended to take a bachelor’s degree in science and technology, with special attention to subjects such as Mathematics and, if possible, having taken subjects related to Computer Science, Programming, Computing and Technology in general.

Although not essential, previous programming experience and participation in personal software development projects is a significant added value.

What bachelor’s degree do you need to study Data Science and Artificial Intelligence?

Download here a PDF document with the most frequently asked questions about this Degree, we answer all your doubts!

Data science focuses on extracting knowledge and patterns from large volumes of data. It uses statistical, mathematical and programming techniques to analyze and process information, facilitating data-driven decision making.

Artificial intelligence (AI), on the other hand, is dedicated to creating systems that can learn and make decisions autonomously. This includes everything from machine learning algorithms to deep neural networks and natural language processing.

Data science and artificial intelligence are intrinsically related. Data science provides the data and analytics needed to train AI models, while AI uses these models to automate and improve analytics processes. Together, they enable the creation of innovative solutions that can transform entire industries.

1. Data collection and cleaning: Data science is responsible for collecting, cleaning, and preparing data for analysis.
2. Model development: Using AI techniques, models are developed that can predict, classify and make decisions based on the data.
3. Implementation and monitoring: AI models are implemented in real systems and monitored to ensure their efficiency and accuracy.

A data science and artificial intelligence specialist combines technical and analytical skills to develop innovative solutions. Your main responsibilities include:

• Data analysis: Identify patterns and trends in large data sets.
• Algorithm development: Create and optimize machine learning algorithms and other AI methods.
• Model implementation: Integrate AI models into production systems to automate processes.
• Data visualization: Present results in an understandable way to facilitate decision making.

UDIT does not require a cut-off mark for admission to the Bachelor’s Degree in Data Science and Artificial Intelligence. However, due to the specificity of these programs, potential students must take their own specific admission tests.