B.S. Double Degree in Computational Physics and Computer Science

Practical method and in small groups.

Proyecto de Pilar Hernández, alumna de U-tad
Practical learning in small groups

Description

The most sought-after profile by companies

The Dual Bachelor’s Degree in Computational Physics and Software Engineering + U-tad’s Master’s Degree in Generative Artificial Intelligence combines knowledge in software, quantum computing, artificial intelligence, thermodynamics, mechanics, electromagnetism, and quantum physics to create the profile that technology companies are looking for to lead their most innovative projects.

You will work on system simulation projects for diverse sectors such as aerospace, automotive, materials science, new drug development, meteorology, and autonomous machines. You will develop cognitive assistants that interact with people, IoT devices for service customization, and be a pioneer in launching applications based on quantum computing.

With this dual degree, in 5 years you will graduate with highly valuable professional training:

An Official Bachelor’s Degree in Computational Physics

An Official Bachelor’s Degree in Software Engineering + Master’s in Generative Artificial Intelligence

At U-tad, we are committed to ensuring that our students stay at the forefront of technology. Our Generative AI program is designed to equip students with advanced skills in using development tools powered by Artificial Intelligence.

This course is offered during the first two years of the degree and focuses on the practical mastery of constantly evolving technological tools. Thanks to annual updates that align with advancements in AI, the students will be prepared to adapt to and capitalize on the latest innovations in the field.
You will study at the leading technological university center for digital education, with a strong connection to the business sector. Our training guarantees success, as our students rank among the top ten in the SEDEA (Spanish Association of Academic Excellence) rankings.

Train for a profession with 100% employability and great professional prospects.

  • Location: U-tad Campus
  • Schedule: Monday to Friday
  • ECTS: 345
  • Language: Spanish
  • Modality: On-site
  • Affiliated with: Camilo José Cela University

Career opportunities

By studying the Dual Bachelor’s Degree in Computational Physics and Software Engineering + Master’s in Generative Artificial Intelligence, you will be able to work in the following specialties:

  • Expert in Finite Element Simulations
  • Expert in Artificial Intelligence
  • Chief Technology Officer
  • Researcher/Developer of new algorithms for risk detection and fraud
  • Scientific-Technological Consultant
  • Project Management and Development in banking, finance, insurance, environment, medicine
  • Researcher in Applied Physics Projects
  • Quantum Computing Systems Developer
  • Developer of Robotic Assistants for Healthcare

Where our students work

Upon completing this dual degree, you could work at companies such like:

  • IBM
  • GMV
  • Minsait, an Indra company.

Partner companies

Students' projects and awards

Your Project, Your Best Professional Presentation

Your projects will be your calling card to companies, showcasing your skills and potential. That’s why, at U-tad, we give them the importance they deserve. Here, you will learn by doing. You will work on projects from your first year, with practical application of the knowledge you’ve acquired, and teamwork that will be vital for your future employability.

Talent Awards

U-tad students have received over 100 awards in national and international competitions in the past three years, highlighting the capability and quality of our students’ training.

Students' feedback

We are very proud of our students because they stand out for their talent and daily effort. Additionally, the training received at U-tad provides them with solid knowledge to develop their careers in the sector they are most passionate about.

International mobility

At U-tad, we have an International Relations Department through which we coordinate and establish agreements with university institutions worldwide, as well as with official bodies responsible for international inter-university cooperation. We have agreements with prestigious universities across all five continents and are actively working to expand the number of institutions with exchange agreements, either through the Erasmus program or with bilateral exchange agreements.

Universities such as:

  • Beijing Jiaotong University of Software Engineering (China)
  • Soongsil University (South Korea)
  • Epitech (France)
  • Xi’an Jiaotong-Liverpool University (China)
  • Malmo University (Sweden)
  • Università degli Studi di Milano (Italy)
  • Algebra University College (Croatia)
  • UPAEP and UP (Mexico)

Faculty

Study plan

Course 1
SUBJECTECTSTYPEDURATION
Web Development Fundamentals6B1st Semester
Introduction to Programming I6B1st Semester
Networking and Operating Systems Labs6OB1st Semester
Logic and Discrete Mathematics6B1st Semester
Creative Thinking3OB1st Semester
General Physics I6B1st Semester
Algebra6B2nd Semester
Computer Architecture6B2nd Semester
Calculation6B2nd Semester
Introduction to Programming II6B2nd Semester
Database and Distributed Systems Laboratory6OB2nd Semester
Digital Society3OB2nd Semester
Projects I: Digital Techniques and Technologies6OBAnnual

Graphic legend: Basic Training (B) | Compulsory (OB) | Electives (OP) | Compulsory Minor Subject (OBM) | External Internships (PE) | Final Degree Project (TFG)

Course 2
SUBJECT
ECTSTYPEDURATION
General Physics II6B1st Semester
Introduction to scientific programming3OB1st Semester
Statistics6B1st Semester
Object Oriented Programming6OB1st Semester
Computer Networks6B1st Semester
Operating Systems6B1st Semester
General Chemistry6B2nd Semester
Algorithm Analysis and Design6OB2nd Semester
Databases6OB2nd Semester
Software Design6OB2nd Semester
Mathematical methods for physics9B2nd Semester
Projects II: Software Engineering Trends6OB1st Semester

Leyenda: Basic Training (B) | Compulsory (OB) | Electives (OP) | Obligatorias de Mención (OBM) | External Internships (PE) | Final Degree Project (TFG)

Course 3
SUBJECTECTSTYPEDURATION
Database Expansion6OB1st Semester
Fundamentals of Visual Composition3OB1st Semester
Partial Differential Equations6OB1st Semester
Distributed Systems Programming6OB1st Semester
Web Programming I, Client6OB1st Semester
Electromagnetism and Optics9OB1st Semester
Physics and Artificial Intelligence for Video Games6OB2nd Semester
Numerical Calculus6OB2nd Semester
Mobile Application Development3OB2nd Semester
Mechanics6OB2nd Semester
Experimental techniques3OB2nd Semester
Graphic Programming6OB2nd Semester
Web Programming II, Server6OB

2nd Semester

Leyenda: Basic Training (B) | Compulsory (OB) | Electives (OP) | Obligatorias de Mención (OBM) | External Internships (PE) | Final Degree Project (TFG)

Course 4
SUBJECTECTSTYPEDURATION
Thermodynamics and Statistical Physics9OB1st Semester
Machine Learning6OB1st Semester
Quantum Physics6OB1st Semester
Software Engineering6OB1st Semester
Artificial Intelligence6OB1st Semester
Immersive Systems6OB2nd Semester
Calculation of Probabilities6OB2nd Semester
Solid State Physics6OB2nd Semester
UX Fundamentals3OB2nd Semester
Fluid Mechanics6OB2nd Semester
OPTIONAL INSO3OP2nd Semester
Projects III: Web and App Development9OBAnnual
Low Level Programming3OP2nd Semester
Software Verification3OP2nd Semester

Leyenda: Basic Training (B) | Compulsory (OB) | Electives (OP) | Obligatorias de Mención (OBM) | External Internships (PE) | Final Degree Project (TFG)

Course 5
SUBJECTECTSTYPEDURATION
Business Creation and Management3OB1st Semester
Project Management3OB1st Semester
Quantum Computing6OB1st Semester
Programming Paradigms3OB1st Semester
Computer Vision6OB1st Semester
Business and Digital Models3OB2nd Semester
Company Internship6PE2nd Semester
Special Effects Simulation3OB2nd Semester
Projects IV: Graphic Programming, Immersive Systems and Videogames9OBAnnual
Computational Physics Final Degree Project6TFGAnnual
Software Engineering Final Degree Project9TFGAnnual

Leyenda: Basic Training (B) | Compulsory (OB) | Electives (OP) | Obligatorias de Mención (OBM) | External Internships (PE) | Final Degree Project (TFG)

Additional informartion / competencies
  • Location: U-tad Campus
  • Hours: Monday – Friday
  • ECTS: 240
  • Language: Spanish or English
  • Modality: In campus
  • Centre Attached to: Camilo José Cela University
  • Year of implementation: Planned implementation of double degree 2021-2022
  • Software Engineering: Year of implementation: 2018-2019
  • Spots for new students in the Degree: 60
  • Branch of knowledge: Engineering and Architecture

*Computational Physics: degree pending verification by the Foundation for Knowledge madri+d

Minimum number of ECTS per type of registration and course:
Minimum Maximum
Full time 1st course 72 72
Full time rest of courses30 84
Part-time 1st course25 30
Part-time rest of courses18 45

Competencies

Related training

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Frequently Asked Questions

What do you study in the Double Degree in Computational Physics and Software Engineering + Proprietary Degree in Generative Artificial Intelligence?
The Dual Degree in Computational Physics and Software Engineering + Proprietary Degree in Generative Artificial Intelligence offers comprehensive training that combines cutting-edge technology, software, and applied physics. Throughout the program, students will delve into quantum physics, mechanics, electromagnetism, and computational simulations, alongside key knowledge in artificial intelligence (AI) and quantum computing. They will also learn to design and develop generative AI systems for practical applications in sectors such as aerospace, automotive, medicine, and materials science.
What high school track should I take to study the Double Degree in Computational Physics and Computer Science?
To study the Dual Degree in Computational Physics and Software Engineering, the ideal path is to have completed the Science and Technology track in high school. Subjects like mathematics, physics, and technology are essential for building a solid foundation in programming, algebra, and calculus—all of which are key to this program.
Is U-tad's Double Degree in Computational Physics and Computer Science officially recognized?
Yes, the Dual Degree in Computational Physics and Software Engineering is an official degree recognized by Camilo José Cela University. The degree is valid both nationally and internationally, ensuring that students receive high-quality education in line with European educational standards
How many years does it take to study the Double Degree in Computational Physics and Computer Science?
The Double Degree in Computational Physics and Software Engineering has a duration of 5 years. During this time, students will complete multidisciplinary training that will enable them to work in areas such as artificial intelligence, quantum computing, and advanced simulations
Study Double Degree in Computational Physics and Computer Science at U-tad
At U-tad, the Dual Degree in Computational Physics and Software Engineering + Proprietary Degree in Generative Artificial Intelligence is designed to train the professionals that technology companies demand. The program combines advanced theory and practical work, with projects in system simulation, generative AI development, and quantum computing. The training includes professional internships at technology companies such as IBM, GMV, and Minsait. Most sought-after profile by companies: Graduates of this dual degree are highly in demand in fields such as computational simulations, AI development, quantum computing, and cognitive assistants. Leading technology companies seek these profiles to develop innovative projects in areas like autonomous vehicles, medicine, and finance. Preguntar a ChatGPT
What is the profile of a student in the Dual Degree in Computational Physics and Software Engineering?
The student profile for the Dual Degree in Computational Physics and Software Engineering at U-tad is aimed at individuals with a strong interest in technology, mathematics, and solving complex problems. It is ideal for those who enjoy programming, data analysis, and simulating physical phenomena through computational models. Candidates should have a solid foundation in mathematics and physics, as well as strong analytical and logical-mathematical skills. Additionally, curiosity about artificial intelligence, quantum computing, and innovative software development is a plus, as these fields are fundamental to the program. This dual degree is perfect for those seeking interdisciplinary training that enables them to work in high-tech sectors such as scientific simulation, applied AI, or the development of advanced software systems.