Thanks to this professional master’s degree, you will analyze how artificial intelligence influences pattern recognition in medical images”

The professional master’s degree in E-Health and Big Data aims to transmit the multiple benefits of technology in medicine. The concept of e-Health is defined by the World Health Organization (WHO) as: the cost-effective and safe use of information and communication technologies in support of health and public health related fields, including healthcare, health surveillance and health education, knowledge and research. Developments in this field make it possible, for example, to diagnose diseases thanks to hospital databases, or even to insert new 3D-printed limbs into human and animal bodies. 

The imminent evolution of medicine requires highly qualified professionals who know how to respond to the needs of Industry 4.0. TECH aims to boost the careers of engineers who wish to delve into healthcare service and are interested in the simultaneous development of telemedicine. This professional master’s degree addresses the theoretical and practical foundations of modern medicine to generate a global and deep vision of the new additions in biomedicine.

Students will not only delve into aspects of E-Health and Big Data, but will also learn about how the international healthcare system operates and is organized. Likewise, this program offers a focus on the entrepreneurship sector that positions engineering graduates as the target audience of this digital education, encouraging the creation of their own companies with the keys to business innovation.

TECH will participate in the expansion of these studies through a professional master’s degree based on the knowledge of scientists in the field, especially those involved in artificial intelligence projects. The teaching staff will be available to students 24 hours a day and will monitor their studies. What is more, the 100% online format and the audiovisual content will facilitate student training and study

Distinguish yourself in a booming sector and join what is considered to be the technological solution of the future in medical development”

This professional master’s degree in E-Health and Big Data contains the most complete and up-to-date program on the market. The most important features include:

• Practical cases presented by experts in Information and Communication Technology focused on the healthcare services
• The graphic, schematic, and practical contents with which they are created, provide scientific and practical information on the disciplines that are essential for professional practice
• Practical exercises where self-assessment can be used to improve learning
• Its special emphasis on innovative methodologies 
• Theoretical lessons, questions to the expert, debate forums on controversial topics, and individual reflection assignments
• Content that is accessible from any fixed or portable device with an Internet connection

Join the change in modern medicine by applying artificial intelligence and the internet of things (IoT) to telemedicine”

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

Its multimedia content, developed with the latest educational technology, will allow the professional a situated and contextual learning, that is, a simulated environment that will provide an immersive education programmed to prepare 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 course. For this purpose, the student will be assisted by an innovative interactive video system created by renowned and experienced experts. 

Boost your career projection thanks to bioinformatics computing and Big Data techniques"

Update your biomedical knowledge thanks to new tools used in clinical health management"

The approach of this professional master’s degree in E-Health and Big Data will allow students to acquire the necessary skills to update their knowledge in the field of medical engineering. By delving into the technical aspects of hospital systems and mastering the tools to implement biomedical design in healthcare, students will boost their professional career from a global perspective of new technologies. Through the program, they will develop the necessary skills in an engineering field that is versatile and directly related to today's public health services. 

TECH's goal is to foster the development of experts like you, who delve into nuclear medicine to identify the differences between PET and SPECT”

General Objectives

• Develop key concepts of medicine that serve as a vehicle to understand 
  clinical medicine 
• Determine the major diseases affecting the human body, classified by apparatus or systems, structuring each module into a clear outline of pathophysiology, diagnosis, 
  and treatment 
• Determine how to obtain metrics and tools for healthcare management
• Understand the basics of basic and translational scientific methodology 
• Examine the ethical and best practice principles governing the different types of research in health sciences 
• Identify and generate the means of funding, assessing and disseminating scientific research
• Identify the real clinical applications of the various techniques
• Develop the key concepts of computational science and theory 
• Determine the applications of computation and its implication in bioinformatics 
• Provide the necessary resources to practically apply all the concepts in the modules
• Develop the fundamental concepts of databases 
• Determine the importance of medical databases 
• Delve into the most important techniques in research 
• Identify the opportunities offered by the IoT in the field of e-Health
• Provide specialized knowledge of the technologies and methodologies used in the design, development and assessment of telemedicine systems
• Determine the different types and applications of telemedicine 
• Delve into the most common ethical aspects and regulatory frameworks of telemedicine
• Analyze the use of medical devices
• Develop the key concepts of entrepreneurship and innovation in e-Health 
• Determine what a business model is and the types that exist 
• Collect e-Health success stories and mistakes to avoid 
• Apply the knowledge acquired to an original business idea

Specific Objectives

Module 1. Molecular Medicine and Pathology Diagnosis 

• Understand the diseases of the circulatory and respiratory systems
• Determine the general pathology of the digestive and urinary apparatus, of the endocrine and metabolic systems and of the nervous system
• Generate expertise in diseases affecting the blood and the locomotor system

Module 2. Health System Management and Administration in Health Centers

• Determine what a health system is 
• Analyze the different healthcare models in Europe
• Examine how the healthcare market functions 
• Develop key knowledge of hospital design and architecture
• Generate specialized knowledge of health measures 
• Delve into resource allocation methods 
• Compile productivity management methods 
• Establish the role played by Project Managers

Module 3. Research in Health Sciences 

• Determine the need for scientific research 
• Interpret scientific methodology 
• Specify the need for types of research in health sciences depending on their context 
• Establish the principles of evidence-based medicine 
• Examine the needs to interpret scientific results
• Develop and interpret the basics of clinical trials 
• Examine the methodology used to disseminate scientific research results and the ethical and legislative principles that govern it

Module 4. Techniques, Recognition and Intervention using Biomedical Imaging

• Examine the fundamentals of medical imaging technologies 
• Develop expertise in radiology, clinical applications and physical fundamentals 
• Analyze ultrasound, clinical applications and physical fundamentals 
• Delve into tomography computed and emission tomography, clinical applications and physical fundamentals 
• Determine how to manage magnetic resonance imaging, clinical applications and physical fundamentals 
• Generate advanced knowledge of nuclear medicine, differences between PET and SPECT, clinical applications and physical fundamentals 
• Discriminate noise in the image, reasons for it and image processing techniques to reduce it 
• Present image segmentation technologies and explain their usefulness 
• Gain an in-depth understanding of the direct relationship between surgical interventions and imaging techniques 
• Establish the possibilities offered by artificial intelligence in the recognition of patterns in medical images, thereby furthering innovation in the sector 

Module 5. Computation in Bioinformatics 

• Understand the concept of computation 
• Break down a computer system into its various parts 
• Distinguish between the concepts of computational biology and bioinformatics computing
• Master the most commonly used tools in the field 
• Determine future trends in computing 
• Analyze biomedical datasets using Big Data techniques

Module 6. Biomedical Databases 

• Understand the concept of biomedical information databases 
• Examine the different types of biomedical information databases  
• Study data analysis methods in depth 
• Compile models that are useful in predicting outcomes 
• Analyze patient data and organize it logically 
• Perform reports based on large amounts of data 
• Determine the main lines of research and testing 
• Utilize tools for bioprocess engineering

Module 7. Big Data in Medicine: Massive Medical Data Processing

• Gain specialized knowledge of massive data acquisition techniques in biomedicine
• Analyze the importance of data preprocessing in Big Data 
• Determine the differences between the data derived from different massive data collection techniques, as well as their special characteristics in terms of pre-processing and handling 
• Provide ways of interpreting results from massive data analysis 
• Examine the applications and future trends in the field of Big Data in biomedical research and public health 

Module 8. Applications of Artificial Intelligence and the Internet of Things (IoT) in Telemedicine

• Propose communication protocols in different scenarios in the healthcare field 
• Analyze IoT communication, as well as its application areas in e-Health 
• Substantiate the complexity of artificial intelligence models in its use in healthcare
• Identify the optimization brought by parallelization in GPU-accelerated applications and its use in healthcare
• Present all the Cloud technologies available to implement e-Health and the IoT products, both in computing and communication

Module 9. Telemedicine and Medical, Surgical and Biomechanical Devices

• Analyze the evolution of telemedicine 
• Assess the benefits and limitations of telemedicine
• Examine the different types, use and clinical benefits of telemedicine 
• Assess the most common ethical issues and regulatory frameworks surrounding telemedicine
• Establish the use of medical devices in healthcare in general and in telemedicine specifically
• Determine the use of the Internet and the medical resources it provides 
• Delve into the main trends and future challenges in telemedicine

Module 10. Business Innovation and Entrepreneurship in E-Health

• Analyze the e-Health market in a systematic and structured way 
• Learn the key concepts of innovative ecosystems 
• Create businesses using the Lean Startup methodology 
• Analyze the market and competitors 
• Find a solid value proposition in the marketplace 
• Identify opportunities and minimize rates of error 
• Handle practical tools to analyze the environment and to quickly test and validate business ideas
  
  

Get closer to excellence with theoretical and practical tools that will help you make decisions in real life"