Would you like to specialize in the field of IT applied to E-Health and Big Data? Enroll in this Master's Degree and embark on the path to a successful working future"

Access to more personalized healthcare, tailored to the needs of society and healthcare professionals, is becoming an ever closer reality thanks to the development of E-Health and the application of Big Data in the storage and analysis of information obtained in hospitals, doctors' offices and clinics. This is due, to a greater extent, to the significant leap made by the Internet and digital technologies, favoring connectivity and globalization through increasingly complex, specific and specialized systems. 

Today it is possible to monitor patients' vital signs remotely, as well as to treat certain pathologies through virtual reality, all thanks to the work of thousands of computer scientists and engineers who have used their time and talent to create strategies and techniques that have undoubtedly considerably improved healthcare management. For this reason, and in view of the great expectations for the future in this field, TECH Technological University has considered it necessary to develop a program through which professionals can learn about this field in detail. 

In this way the professional master’s degree in E-Health and Big Data arises, focused on the IT sector, a complete and comprehensive degree that will allow professionals to specialize in this field in just twelve months through 1,500 hours of the best theoretical and practical training. This is an academic experience with which they will be able to delve into aspects such as bioinformatics computing, the requirements to develop tools for molecular medicine and pathology diagnosis, the creation of biomedical databases or massive information processing. 

All this in a 100% online way, from wherever they want and without predefined schedules. This program also includes diverse supplementary material with which students will be able to deepen in a personalized way in the aspects of the syllabus that they consider most important for their work performance. The extensive knowledge of the needs and demands of the health sector will allow them to develop tools and software adapted to the demand, so that the program of this professional master’s degree will become the vehicle that will lead them to professional success. 

Knowing in detail the needs of molecular medicine and pathology diagnostics will allow you to work on the development of specialized strategies and software for E-Health"

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:

• The development of case studies presented by experts in information and communication technologies focused on the healthcare environment
• 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 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 
• Content that is accessible from any fixed or portable device with an Internet connection 

The healthcare sector is increasingly demanding and requiring a qualitative and quantitative leap in E-Health strategies. That is why this program will open many doors for you in the labor market"

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 professionals to learn in a contextual and situated learning environment, i.e., a simulated environment that will provide immersive education programmed to prepare in real situations. 

The design of this program focuses on Problem-Based Learning, by means of which professionals must try to solve the different professional practice situations that are presented to them throughout the academic year. For this purpose students will be assisted by an innovative interactive video system developed by renowned experts. 

You will be able to delve into the latest aspects of bioinformatics computing through an extensive knowledge of the best search engines and networks"

Do you want to become a reference in the creation and management of biomedical databases? Opt for this professional master’s degree and start working on it"

Thanks to the time and demanding quality criteria that have been applied in the development of this program, TECH Technological University can offer with full guarantee a comprehensive, innovative and dynamic degree, through which graduates will be able to achieve even their most ambitious goals within the E-Health and Big Data sector. This is because the purpose of this program is to provide them with all the information they need to develop as specialists versed in this field in just twelve months. 

TECH Technological University designs each of its degrees with the needs of the graduate and the demand of the sector in mind. Thanks to this, it is possible to offer training that will undoubtedly lead to professional success"

General Objectives

• Develop key concepts of medicine that serve as a vehicle in understanding 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 your own 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 systems, the general pathology of the endocrine and metabolic systems and the general pathology 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
• In-depth study of 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 a deeper understanding of the direct relationship between surgical interventions and imaging techniques
• Establish the possibilities offered by artificial intelligence in recognizing patterns in medical images, and thus deepen innovation in the field

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 preprocessing in Big Data
• Determine the differences that exist between the data of the different techniques of massive data collection, as well as their special characteristics in terms of preprocessing and processing. 
• 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 aspects and regulatory frameworks for the use of 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 the practical tools for environment analysis and practical tools to quickly test and validate your idea

You are just twelve months away from achieving excellence in the IT sector through a degree that will elevate your talent to the pinnacle of E-Health and Big Data"