Description

Information gives us power; if you do not know yet the advantages of applying databases in biomedicine and Telemedicine, enroll and put it into practice” 

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The interest in mastering all the problems that arise in the human environment has led to the emergence of biomedicine. A fusion of sciences that help society to optimize socio-health development. One of the keys in this field is Big Data, which, in particular, has helped to record Covid cases worldwide, bringing scientists in the field closer to studying this virus in more detail.  

Given the importance of qualified experts in this field who also know how to put the key tools into practice, TECH has developed a program that provides students with the knowledge of data processing, its treatment and how it contributes to the interpretation of results and medical and pharmacological advances.  

TECH is made up of teams of professionals who, in this case, are experts in genomics and genetic studies based on Big Data. Thanks to their experience and the exhaustive attention they offer, the student will have a personalized tutoring that will guarantee the performance and assimilation of the contents. In addition, students will have downloadable materials in different formats so that they can study even without an Internet connection.  

Enroll to discover the advantages of massive databases in contrasting side effects of millions of drugs” 

This postgraduate certificate in Big Data in Medicine: Massive Medical Data Processing contains the most complete and up-to-date program on the market. The most important features include: 

  • The development of practical cases presented by experts in massive processing of medical databases 
  • The graphic, schematic, and practical contents with which they are created, provide scientific 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

Thanks to TECH, you will master repositories such as Gene Ontology and KEGG and their intervention towards the optimization of health and social care”

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 provide the professional with situated and contextual learning, i.e., a simulated environment that will provide an immersive education programmed to learn in real situations.  

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

Explore the study of differential data using techniques for obtaining massive data in transcriptomics such as RNA-seq"

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Apply Big Data in medicine and learn about the use of Machine Learning algorithms in public health"

Objectives

The postgraduate certificate in Big Data in Medicine: Massive Medical Data Processing is designed for today's engineers to master the tools of the future. Those who wish to complete their academic studies with an extra in digitization and massive database processing. TECH achieves this through the use of practical scenarios, which will make students fully prepared to apply them in practice. The knowledge can be acquired at any time and from anywhere, according to the 100% online modality used by TECH.

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TECH's goal is for you to fulfill yours, project your career with the instruction of experts in the area of medical engineering and become more competitive in the labor market”   

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 eHealth  
  • 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

  • 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 
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Enroll in this postgraduate certificate to project your professional career towards the Big Data paradigm, which is being responsible for the streamlining of medical care and the recording of diseases and their symptoms” 

Postgraduate Certificate in Big Data in Medicine: Massive Medical Data Processing

The use of Big Data technology in medicine has revolutionized the way healthcare professionals manage and analyze large amounts of medical data. The massive processing of medical data allows doctors and researchers to obtain valuable information that can be used to improve the diagnosis, treatment and prevention of diseases. Would you like to get into this sector? Then the Postgraduate Certificate in Big Data in Medicine: Mass Medical Data Processing created by TECH Technological University is the ideal program for you. The postgraduate course is completely virtual and brings together the most sophisticated learning techniques, with a select curriculum that addresses in various modules everything you need to know about Big Data in the medical sector. Our study plan makes use of state-of-the-art graphic, audiovisual and interactive material, which you will have within reach of any device connected to the Internet. The syllabus will lead you to learn about the use of tools such as Hadoop, Spark, MongoDB and R, in order to manage or analyze large medical datasets.

Big Data in medicine: an invaluable plus for your professional profile

Would you like to work in complex medical data analysis environments and face the ethical or privacy challenges that arise in this field? This TECH program is definitely your best option. Here, you will find the most updated and complete curriculum in the market, its content and methodology were designed by professionals belonging to the sector, who will provide you with a progressive and efficient experience. In the lessons of the syllabus, you will find aspects such as data mining, data visualization and machine learning. In addition, you will study the relevant laws or regulations in this field and how to ensure that medical data is handled in an ethical and responsible manner. Upon completion of the course, you will get to work in a variety of fields related to medical data analysis, this includes medical research and disease prevention or early detection.