Thanks to this professional master’s degree, the professional will obtain valuable and high-quality information on the momentum of E-Health and Big Data in the health field"

In the 1970s, telemedicine began to be developed as a method of overcoming geographical barriers between patients and medical professionals. However, it was not until the massive arrival of new technologies to the population that integration in the healthcare field really took place.

In this way, two disciplines, which may seem unconnected, such as Engineering and Medicine, are brought together. However, multidisciplinarity has meant that, in recent years, there has been an important advance in the creation of intelligent devices, which allow patient monitoring or the supply of medication doses in people with diabetes. The healthcare professional cannot be oblivious to these advances. That is why this 100% online program was created, which offers the latest and most advanced information on E-Health and Big Data.

An intensive program, where over 12 months, the specialist will delve into Molecular Medicine, research in Health Sciences or the latest technical advances in recognition and intervention through biomedical imaging. All this, through multimedia teaching resources that can be accessed, comfortably, at any time of the day, from an electronic device with an Internet connection.

A syllabus with a modern approach that will allow you, thanks to the Relearning method, to advance through the content in a much more natural and progressive way. Therefore, with the repetition of key concepts, the graduate will be able to reduce the long hours of study and memorization.

In this way, TECH offers medical professionals an excellent opportunity to update their knowledge of E-Health and Big Data, through a high-level and quality program. And the fact is that the graduate who enters this program will not be in attendance and will be able to distribute the teaching load according to their needs. A great opportunity to update knowledge through an educational option for current times.

Get an update of knowledge in E-Health and Big Data through a 100% online program and without classes with fixed schedules"

This professional master’s degree in E-Health and Big Data contains the most complete and up-to-date scientific 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

This educational program will lead you to delve into trends in the field of Big Data in biomedical research and public health"

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.

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 education programmed to learn 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 throughout the program. This will be done with the help of an innovative system of interactive videos made by renowned experts.

TECH Technological University provides you with the most recent and innovative knowledge on the use of bioprocess engineering tools"

Access when you want, to a program that provides you with innovative pedagogical tools and according to the present educational times"

The syllabus of this professional master’s degree in E-Health and Big Data will allow medical professionals to keep abreast of advances in the field of new technologies applied to the healthcare sector. This will lead them, over the course of 12 months, to update their knowledge of telemedicine, new imaging devices for diagnosis or the opportunities offered by the IoT in the field of e-Health. This will be possible, thanks to the teaching resources offered by TECH, from a theoretical-practical perspective.

This professional master’s degree offers a theoretical and practical approach to current telemedicine and diagnostic, surgical and biomechanical devices"

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, each in 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
• Report on large amounts of information
• 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 pre-processing 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

You will be able to update your knowledge about the business environment and project opportunities in the e-Health world"