Mathematical Engineering degree

Studying Mathematics leads you to a better understanding of what is going on around you. You will learn to analyse, interpret and solve problems using logic and mathematical models. You will be able to address functions, such as the operation, development, design and administration of mass data systems and analytical functions to apply your knowledge to multiple industries: healthcare, energy, education, industry and research.

You will develop knowledge over 3 areas:

• Mathematics, specialized in the branch of statistics.
• Computing focused on big data.
• Business development and analysis for companies.

You will prepare for the Cisco CCNA and Amazon Web Services Cloud Architecture certificate and work in the Network Lab, Robotics Lab with Scorbot and Fanuc robots, and practice with the Lego Mindstorm System, and the Electronics, Analogue and Digital Lab.

Carry out internships in companies: European Space Agency, Iberia, Altran, Aernnova, Airbus, Siemens, IBM, Telefónica, Vodafone, Deloitte, Everis, Indra Systems, Bosch Security Systems.

• CP01 - Actively participate in projects involving the use of open data and statistical analysis tools in distributed environments
• CP02 - Actively participate in projects within the realm of large-scale data systems that require knowledge, evaluation, selection, and utilization of support tolos for big data project development
• CP03 - Execute, present, and defend an original individual exercise, and present and defend before a university tribunal, consisting of a project in the field of data science of a professional nature synthesizing and integrating the competencies acquired in the teachings
• CP04 - Apply machine learning techniques to design and implement applications and systems that utilize them, including those dedicated to automatic extraction of information and knowledge from large volumes of data, considering possible data quality issues.
• CP05 - Apply mathematical, statistical, and optimization techniques and models to data processing, decision support systems, exploration of relationships between variables, and making predictions
• CP06 - Extract information from structured, semi-structured, or unstructured data, including text, image, video, and audio, using techniques for identification and acquisition of relevant data, reduction, compression, transformation, cleaning, and evaluation of its quality
• CP07 - Represent knowledge with formalisms based on logic and perform inference to derive new knowledge, as well as its use for metadata management and governance of complex data systems.
• CP08 - Apply methodologies, architectures, and techniques specific to Big Data for storage and management of large volumes of data, efficient management of continuous data streams, and application of data integration methods.
• CP09 - Apply models and standards in the field of large data systems
• CP10 - Apply statistical thinking and can tackle the different stages of a statistical study (from problem formulation to result exposition).
• CP11 - Utilize information and communication technologies for data search and analysis, communication, and learning.
• CP12 - Integrate analysis with critical thinking in an evaluation process of different ideas or professional possibilities and their potential for error, based on evidence and objective data leading to effective and valid decisionmaking in the field of data science.
• CP13 - Apply techniques for designing, implementing, capturing, storing, and exploiting databases and database management systems, both structured and unstructured, monolithic and distributed.
• CP14 - Design efficient interfaces in the context of Big Data that ensure accessibility and usability, using techniques for graphical and analytical representation.

• HAB01 - Apply data type models and algorithms efficiently to devise solutions for problems.
• HAB02 - Use mathematical language and its application to state propositions and convey acquired knowledge in various fields of mathematics.
• HAB03 - Use computer tools for statistical analysis, numerical and symbolic calculation, graphical visualization, optimization, and others to experiment in Mathematics and solve problems.
• HAB04 - Evaluate trends in the digital Economy market, as well as their impact on social, economic, and cultural development.
• HAB05 - Analyze digital marketing techniques by assessing the impact of decisions on profits, the market, people, and society.
• HAB06 - Analyze information systems engineering techniques in business processes.
• HAB07 - Analyze data replication, conservation, restoration, and anonymization techniques.
• HAB08 - Generate new ideas and concepts from known ideas and concepts, reaching conclusions or solving problems, challenges, and situations in an original way in the academic and professional environment.
• HAB09 - Transmit messages (ideas, concepts, feelings, arguments), both orally and in writing, strategically aligning the interests of the various stakeholders involved in communication in the academic and professional environment. TIPO: Habilidades o destrezas
• HAB10 - Influence others to guide them towards specific objectives and goals, taking into consideration their viewpoints, especially in professional situations arising from the volatile, uncertain, complex, and ambiguous (VUCA) environments of the current world.
• HAB11 - Cooperate with others in achieving a shared academic or professional objective, participating actively, empathetically, and exercising active listening and respect for all participants.
• HAB12 - Adapt to adverse, unexpected situations that cause stress, whether personal or professional, overcoming them and even turning them into opportunities for positive change.
• HAB13 - Demonstrate ethical behavior and social commitment in carrying out profesional activities, as well as sensitivity to inequality and diversity.

Members of the Quality Commission of the Degree (CCT)

• Vice-Dean of Undergraduate Studies
• Degree Coordinator
• Department Director
• Students
• Faculty (TFG Coordinator and Internship Coordinator)
• Quality Manager (Quality and Academic Compliance)
• Academic Advisor
• Academic Director
• Evaluation and Learning Manager

Main results of the degree

• DROPOUT RATE: 5.9%.
• EFFICIENCY RATE: 97.6%.
• GRADUATION RATE: 47.4%.
• EMPLOYABILITY RATE: 100%.
• STUDENT SATISFACTION WITH THE DEGREE: 4.0/5
• SATISFACTION OF PROFESSORS WITH THE DEGREE: 3.8/5
• STUDENT SATISFACTION WITH THE FACULTY: 4.2/5
• PAS SATISFACTION WITH FACULTY/SCHOOL: 4.0/5
• SATISFACTION OF GRADUATES WITH THE DEGREE PROGRAM: 4.7/5

Process results

• 2017 Verification Report
• Modification Report 2018
• Modification Report 2019
• Special Follow-Up Report 2019
• 2020 Follow-Up Report
• Modification Report 2021
• Modification Report 2024

Link to RUCT

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