Incorporate into your medical practice the latest advances in data management and analysis, integrating into your work the most effective diagnostic and treatment techniques for various pathologies and patients" 

The huge advances in computer science and engineering have led to the development of numerous applications in data processing and analysis. Some of its most important uses have to do with the healthcare field, where data management is a vital issue when dictating treatments or monitoring complex diseases. Thus, some conditions and patients in a delicate situation require intensive and precise monitoring that only data analysis can perform.

This postgraduate diploma in Health Data Management and Analysis in Biomedical Engineeringcontains the most advanced knowledge in this field, since it covers electrocardiography, electroencephalography and magnetoencephalography, the processing of biomedical signals, the equipment and computer software required in bioinformatics, programming languages specialized in data processing and statistics such as R and Python or databases and the SQL language.

With this new knowledge and TECH's online methodology, the physician will be able to get up to date quickly, since this program has been designed especially for working professionals. For this reason, the physician will be updated without uncomfortable interruptions in their work, and with a large number of multimedia didactic resources such as videos of techniques and procedures, interactive summaries, analysis of real clinical cases, master classes and all kinds of theoretical and practical exercises.

Here you will find all kinds of multimedia materials with which you can update yourself quickly and easily: real clinical cases, videos, classes taught by leading specialists”

This postgraduate diploma in Health Data Management and Analysis in Biomedical Engineering contains the most complete and updated educational program on the market. The most important features include:

• The development of case studies presented by experts in Biomedical Engineering
• The graphic, schematic, and eminently practical contents with which they are created, provide scientific and practical information on the disciplines that are essential for professional practice
• Practical exercises where the self-assessment process can be carried out to improve learning
• Its special emphasis on innovative methodologies
• Theoretical lessons, questions to the expert, debate forums on controversial topics, and individual reflection assignments
• Access to content from any fixed or portable device with an Internet connection

Get up to speed, through a 100% online teaching methodology, on medical signal processing and health data collection with this refresher program”

The program’s teaching staff includes professionals from the sector who contribute their work experience to this training program, as well as renowned specialists from leading societies and prestigious universities.

The multimedia content, developed with the latest educational technology, will provide the professional with situated and contextual learning, i.e., a simulated environment that will provide immersive training programmed to train in real situations.

This program is designed around Problem Based Learning, whereby the professional must try to solve the different professional practice situations that arise during the academic year. For this purpose, the student will be assisted by an innovative interactive video system created by renowned and experienced experts.

This program adapts to you and your professional circumstances: you will be able to choose the time and place to study, without interruptions in your work"

Machine learning and big data will now be at your fingertips for you to integrate into your medical practice thanks to this degree"

Given the latest advances in healthcare data management and processing, this program aims to provide the physician with an update in this growing field. The collection and analysis of large-scale data allows for very precise diagnoses, treatments and interventions, which is why this discipline has become essential in recent years. Thus, this postgraduate diploma offers the possibility of getting up to date on these issues, allowing the professional to integrate the most advanced techniques of Biomedical Engineering.

This program will allow you to integrate in your work the main tools of data processing and statistics, knowing the most relevant programming languages in this field"

General Objectives

• Generate specialized knowledge on the main types of biomedical signals and their uses
• Develop the physical and mathematical knowledge underlying biomedical signals
• Deepen the analysis and processing of biomedical signals
• Fundamentals of the principles governing signal analysis and processing systems
• Analyze the main applications, trends and lines of research and development in the field of biomedical signals
• Utilize computer hardware and software tools for genomic analysis
• Analyze programming languages used for DNA sequence analysis
• Apply the concepts of artificial intelligence and big data for use in prevention, diagnosis and medical therapy
• Make use of the workflows that bioinformaticians have in their research and professional fields
• Analyze the different data and database systems
• Determine the importance of data in health
• Building a hospital database
• Establishing how clinical needs are translated into data
• Develop the fundamentals of data analysis 

Specific Objectives

Module 1. Biomedical Signals

• Distinguish the different types of biomedical signals
• Determine how biomedical signals are acquired, interpreted, analyzed and processed
• Analyze the clinical applicability of biomedical signals through practical case studies
• Apply mathematical and physical knowledge to analyze signals
• Examine the most common signal filtering techniques and how to apply them
• Develop fundamental engineering knowledge of signals and systems
• Understand the operation of a biomedical signal processing system
• Identify the main components of a digital signal processing system

Module 2. Medical Bioinformatics

• Develop a reference framework for medical bioinformatics
• Examine computer hardware and software required in medical bioinformatics
• Generate specialized knowledge on data mining techniques in Bioinformatics
• Analyze artificial intelligence and Big Data techniques in medical bioinformatics
• Establish the applications of bioinformatics for prevention, diagnosis and clinical therapies
• Deepen in the methodology and medical bioinformatics workflow
• Assess the factors associated with sustainable bioinformatics applications and future trendsModule

Module 3. Biomedical and Healthcare Databases

• Data Structure
• Analyze Relational Systems
• Develop conceptual data modeling
• Designing and standardizing a relational database
• Examine functional dependencies between data
• Generate specialized knowledge on big data
• Deepen the ODMS architecture
• Learn about data integration in medical record systems
• Analyze the bases and restrictions

Access the future of medicine with this program, which contains the latest scientific evidence on the use of computerized data management tools as a method of diagnosis and treatment”