Degree in Computer Engineering + Specialist Course in Big Data and Artificial Intelligence

IA
face-to-face

Presentation

The vast amount of data generated today across businesses, organizations, and public institutions has created a strong demand for professionals specialized in Big Data and Artificial Intelligence. These experts must be able to manage, analyze, and extract value from data to drive strategic decision-making and enhance business efficiency.

To address this need, the Specialist Course in Big Data and Artificial Intelligence provides comprehensive training in the key techniques and tools used in this field. Students will acquire the necessary skills to tackle challenges and seize the opportunities that the data-driven world presents.

The course consists of four subjects, covering everything from fundamental programming techniques in data analysis to the application of analytics in real-world scenarios. The following is a subject breakdown:

  • Programming Techniques in Artificial Intelligence: This course introduces students to the core programming techniques used in data analysis, focusing on the two most widely used languages: Python and R. Topics covered include basic programming concepts will be covered and the syntax of these languages, as well as the use of libraries and specific tools for data analysis.
  • Big Data Volume Management (IOT): This subject explores the key tools used for managing large-scale data, particularly from IoT (Internet of Things) devices. Students will learn about real-time data processing, distributed systems architecture, and the integration of Big Data tools with other analytical frameworks.
  • Artificial Intelligence: This subject delves into advanced data analysis techniques, with special attention to Machine Learning. The subject covers the most widely used algorithms in the field and examines real-world use cases where these techniques are applied, providing students with a strong foundation in AI-driven decision-making.
  • Data Analysis Applications: In this subject, students will apply the knowledge acquired throughout the program to concrete projects. Working in teams, they will define a data analysis project, implement the techniques and tools learned, and use data visualization and communication strategies to present their findings effectively. Techniques and tools for data visualization and communication will be studied. The main trends and best practices in the creation of dashboards and reports, as well as the presentation of results to different types of audiences will be analyzed.
Learning Method: On-site

Objectives

  • Provide students with solid theoretical and practical knowledge in the techniques and tools of data analysis and Artificial Intelligence.
  • Educate students on how to develop Big Data solutions and Artificial Intelligence applications in different business environments.
  • Prepare students to work with Big Data and Artificial Intelligence tools and technologies, such as Python, R, Machine Learning, IOT, BI, among others.
  • Encourage critical and creative thinking in solving problems related to data analysis and Artificial Intelligence.
  • Develop communication and teamwork skills, as these are fundamental aspects for the implementation of Big Data and Artificial Intelligence solutions in companies.

Learning Results

  • Ability to analyze large volumes of data using Big Data and Artificial Intelligence techniques and tools.
  • Ability to develop Big Data and Artificial Intelligence applications in different business environments.
  • Knowledge and skills to work with Big Data and Artificial Intelligence tools and technologies, such as Python, R, Machine Learning, IOT, BI, among others.
  • Ability to apply critical and creative thinking in solving problems related to data analysis and Artificial Intelligence.
  • Ability to effectively communicate data analysis results and AI solutions to different audiences, both technical and non-technical.
  • Ability to work in teams and collaborate with other professionals in the development and implementation of Big Data and Artificial Intelligence solutions.
  • Knowledge and skills to manage large volumes of real-time data and design data streaming solutions in different business environments.
  • Ability to visualize and present data clearly and effectively using BI tools.

Graduate Profile

Students of the Specialist Course in Big Data and Artificial Intelligence will have a large number of professional opportunities, as these skills are in high demand in many industries. Some of the most common career opportunities are listed below:

  • Data analyst: Data analysts are responsible for collecting, processing and analyzing large volumes of data to obtain useful information for businesses. Students might work as data analysts in companies in various sectors.
  • Data scientist: Data scientists are responsible for developing and applying advanced data analysis techniques to solve complex problems. Students might work as data scientists in technology companies, finance, health, among other sectors.
  • Specialist in machine learning: Machine learning specialists are responsible for developing and applying machine learning algorithms to automate processes and make decisions. Students might work as machine learning specialists in technology companies, finance, digital marketing, among other sectors.
  • Data engineer: Data engineers are responsible for developing and maintaining a company's Big Data infrastructure. Students might work as data engineers in technology companies, finance, digital marketing, among other sectors.
  • Software developer: Software developers are responsible for developing and maintaining software used in data analysis and Artificial Intelligence. Students might work as software developers in technology companies, finance, digital marketing, among other sectors.
  • BI Consultant: BI (Business Intelligence) consultants are responsible for helping companies use the information gathered to improve their operations and make strategic decisions. Students might work as BI consultants in companies of various sectors.

The demand for professionals with these skills continues to grow, for which there are many job opportunities in today's market.

Bilingual Education

English, the key to your present and your future

English, the Key to Your Present and Future

Nowadays, English is one of the most essential tools for international communication and a key asset for securing a good job both in Spain and abroad. In our country, 80% of job offers already require an excellent command of English, often prioritizing this criterion over professional experience or career trajectory.

For this reason, at the European University of the Atlantic, the Degree in Computer Engineering places a strong emphasis on English language training. The curriculum includes four compulsory English courses to ensure that students achieve a high level of proficiency in the language. Additionally, the university's international profile fosters and facilitates the development of English language skills.

To ensure that language proficiency is not a barrier to accessing studies, UNEATLANTICO offers personalized instruction, particularly during the first year, helping all students reach the necessary level of English to successfully complete their degree coursework.

In this way, regardless of their initial level of English, students benefit from a comprehensive support plan that includes tutorials, specialized materials, and small working groups. This approach allows them to follow classes within a progressive Spanish-English bilingual system. By the end of their studies, students will have acquired bilingual competencies, equipping them for professional practice in their field.

Engage in your profession

UNEATLANTICO creates an authentic business environment

UNEATLANTICO Replicates Real Working Environments

The Campus of the European University of the Atlantic is designed to provide students with hands-on experience from their first year of study. Thus, the University has modern and well-equipped facilities that replicate the work environments that students will enter upon graduation.

The faculty motivates the students to get involved in Campus life, guiding them to implement projects and ideas that enable them to develop their profession from day one. The educational model goes beyond fulfilling curricular requirements—it is designed to provide a comprehensive theoretical and practical education, ensuring that students are fully engaged in their professional environment.

In addition, the University has numerous internship agreements with companies and institutions from various sectors, enhancing students' learning experience and fostering the development of transversal competencies essential for entering the job market. The faculty is responsible for guiding and supervising students' work, ensuring they maximize their engagement with the business world.

Students also collaborate with the Computer Projects Center and the University's Business Projects Center in the design of R&D projects for different companies and institutions. These projects are developed through the Center for Industrial Research and Technology of Cantabria (CITICAN). The European University of the Atlantic helps put your dreams into practice.

Degree

Upon completion of the program, students will receive the DEGREE IN COMPUTER ENGINEERING + SPECIALIST COURSE IN BIG DATA AND ARTIFICIAL INTELLIGENCE, awarded by the European University of the Atlantic.

Study Programme

First Year

SEMESTER 1
SUBJECTS CREDITS
TOTAL 30
Mathematics I 6
Programming I 6
Introduction to Software Project Management 6
Computer Technology and Structure 6
Physics 6
SEMESTER 2
SUBJECTS CREDITS
TOTAL 30
Mathematics II 6
Programming II 6
Logic 6
Discrete Mathematics 6
Information and Communication Technologies 6

Second Year

SEMESTER 1
SUBJECTS CREDITS
TOTAL 30
Computer Networks 6
Statistics 6
Databases I 6
Data Structures and Algorithms I 6
Numerical Mathematics 6
SEMESTER 2
SUBJECTS CREDITS
TOTAL 30
Operating Systems 6
Databases II 6
Data Structures and Algorithms II 6
English II 6
Programming Languages 6

Grade Three

SEMESTER 1
SUBJECTS CREDITS
TOTAL 30
Software Engineering I 6
Distributed Systems and Parallel Programming 6
Ethics and IT Legislation 6
English III 6
Elective I 6
ELECTIVES AVAILABLE
Business Organization 6
Market Research 6
Theory and Practice of Visual Communication 6
Accounting I 6
Laboratory of New Trends in Technologies I 6
Programming Techniques in Artificial Intelligence 6
SEMESTER 2
SUBJECTS CREDITS
TOTAL 30
Information Systems Management 6
Software Engineering II 6
English IV 6
Computer Security and Cryptography 6
Elective II 6
ELECTIVES AVAILABLE
Accounting II 6
Strategic and Operational Marketing 6
Human Resources 6
Information and Communication Society 6
Laboratory of New Trends in Technologies II 6
Management of large volumes of data 6

Fourth Year

SEMESTER 1
SUBJECTS CREDITS
TOTAL 24
Prácticum 6
Web Programming I 6
Artificial Intelligence 6
Projects 6
Elective III 6
ELECTIVES AVAILABLE
Automation and Control 6
Digital Marketing and Interactive Media 6
Digital Animation 6
Financial Mathematics 6
Software Project Management Workshop I 6
SEMESTER 2
SUBJECTS CREDITS
TOTAL 30
Business Economics and Entrepreneurship 12
Web Programming II 6
Final Degree Project 6
Elective IV 6
ELECTIVES AVAILABLE
Production and Logistics Management 6
Financial Statement Analysis 6
Corporate and Institutional Communication 6
Creation of Multimedia Products 6
Software Project Management Workshop II 6
Data Analysis Application 6

Access and Admission Requirements

Access and Admission
Pre-registration and Enrollment
Admission and Enrollment Deadlines

Admission profile

The Specialist Course in Big Data and Artificial Intelligence is designed for students from various academic backgrounds, including:

  • Graduates in Computer Engineering, Telecommunications, Electronics or Industrial Engineering: These students possess a strong foundation in programming and information technologies, allowing them to explore data analysis and Artificial Intelligence in greater depth.
  • Graduates in Mathematics, Statistics or Physics: These students have a solid background in mathematical and statistical methodologies, enabling them to approach data analysis from a more theoretical and rigorous perspective.
  • Graduates in Business Administration and Management: These students have expertise in business processes and strategy, equipping them to implement Big Data and Artificial Intelligence solutions in different business environments.
  • Graduates in Marketing, Advertising or Communication: These students bring skills in communication and data-driven decision-making, enabling them to apply Big Data and AI techniques in marketing and advertising.

In summary, the Specialist Course in Big Data and Artificial Intelligence is aimed at students from diverse academic and professional backgrounds who wish to gain theoretical and practical knowledge in data analysis and AI, with the objective of applying these technologies across various business and professional sectors.

Becas

Application Form

GENERAL REQUIREMENTS

Collaboration Scholarships

Recipients

The European University of the Atlantic offers Scholarships-Collaborations to newly admitted students in the degree in Computer Engineering.

The aim is to provide students holding a scholarship with the opportunity to collaborate in real-life projects.

Applicant Requirements

  • Having submitted the pre-enrollment form, exceptionally, it will not be necessary to pay the reservation fee to apply for these scholarships. However, the pre-enrollment must later be formalized, and the corresponding fees must be paid.
  • Attend and successfully pass various personal interviews scheduled by the University's Scholarship Committee.
  • Have gained admissions to the European University of the Atlantic by obtaining a Higher Level Training Cycle; have passed the different university entrance exams for those holding a High School Diploma or meet the admission requirements set by the current regulations.

Application Procedures and Documentation

The candidate must submit the following documentation:

  • Scholarship Application Form: can be obtained in person at the Student and Scholarship Service of the European University of the Atlantic or by downloading it in the upper right margin.
  • Photocopy of valid DNI, NIE or passport.
  • Personal academic transcript of the studies that grant admission to the Degree. Average grade obtained or, failing that, the grades for each subject .
  • Pre-registration Application.
  • Curriculum vitae, including professional experience, training in the field of the degree, personal projects initiated within the computer engineering field, etc.

Submitting this documentation is separate of that which has been or will be made for the purpose of pre-enrollment or enrollment in the corresponding studies.

All documentation should be delivered or sent to:

Universidad Europea del Atlántico > Servicio de Becas
Parque Científico y Tecnológico de Cantabria
C/Isabel Torres 21, 39011 Santander.
Or to becas@uneatlantico.es

Application Deadline

The application period will begin on November 2 and will extend until October 15 of the following year.

Compatibilities

The Scholarship can be combined with other public or private scholarships or aid, excluding those from the European University of the Atlantic.

If applying to other scholarship programs outside this institution, students must verify the compatibility of this scholarship with others they may intend to apply for, as well as accept the consequences of non-compliance with the provisions of the regulatory bases for each of the programs.

The student may apply for any other type of scholarship, exemption or aid offered by the European University of the Atlantic. However, they can only receive one, provided they meet the call requirements, except for the FUNIBER - Residence scholarship, which can be combined with the Scholarship-Collaboration.

Analysis of Candidacies and Decision

The Scholarship Committee shall be responsible for determining which applicants are eligible for scholarships in accordance with the guidelines set forth in these guidelines.

Once all the required documentation has been submitted and the different interviews or tests have been passed, each application will be resolved individually. The application period will close once the number of available scholarships reaches the total available spots.

This collegial body has the ability to request additional or clarifying documentation from any applicant. The applicant has 10 business days to rectify the omission or provide the required documents; otherwise, their request will be considered withdrawn. .

The rectification request will be personally notified to the applicant through one of the notification channels indicated in the application request.

The Scholarship Committee's decision shall be communicated personally to the student applicant, who shall have 10 working days to appeal the decision in writing. The university's chancellor will resolve this appeal within one month from its receipt. No appeal shall be allowed against the decision issued by the chancellor to this effect.

Scholarship liquidation

The Scholarship-Collaboration offered for the Degree in Computer Engineering grants, in the case of a favorable resolution, an annual exemption of up to 100% of tuition fees. Acceptance of this scholarship requires beneficiaries to collaborate with UNEATLANTICO in tasks related to their training process, without establishing any form of employment relationship or affecting their academic activities.

To renew the scholarship, recipients must not have received an unfavorable evaluation in the report issued by the Scholarship Committee. Factors such as satisfactory academic performance during the academic year in which the scholarship was awarded, attendance and participation in collaboration activities, and compliance with all assigned tasks will be considered in the renewal process.

All information provided in this document is guided by the Scholarship Regulations of the European University of the Atlantic. Additionally, specific details of this offer are further defined in the Regulatory Bases of this particular scholarship call.

Links

Professional Practicess

The Degree in Computer Engineering at our University provides students with the opportunity to complete professional internships in leading companies and institutions across various sectors.

Through collaborations with top organizations, students can apply the knowledge and skills acquired in the classroom to real-world work environments.

These collaborations not only offer valuable professional experience but also enable students to build a network of industry contacts, enhancing their future career prospects and facilitating their transition into the job market.

The European University of the Atlantic has established agreements with various companies and institutions to ensure optimal internship opportunities for students.

Some of the companies we collaborate with as part of these internships include:

Companies