Specializing in Bioinformatics and Big Data in a 100% online way and in only 6 months is now possible thanks to this exhaustive and intensive program that TECH puts at your disposal"

Advances in the field of bioinformatics have benefited many sectors, including medicine. Thanks to the development of increasingly specific and concrete techniques, it has been possible to expand the applications of E-Health in today's environment, optimizing tasks and favoring the processing and massive analysis of biological data. Among the most common strategies is the use of Big Data for data processing through structural genomics, which has made it possible, among other things, to discover new biomarkers and therapeutic targets. 

As this is such a broad and complex field, it requires extensive knowledge to dedicate oneself to it. For this reason, and in view of the growing demand for IT professionals specialized in this sector, TECH and its team of experts have decided to create a 100% online program that allows any graduate to specialize in this area. This is an academic experience with which they can delve into the latest developments in computing, as well as the creation and management of biomedical databases from scratch. Additionally, it also places special emphasis on data processing through the most sophisticated tools and software. 

In addition to the syllabus and case studies, they will be provided with 450 hours of diverse material: detailed videos, research articles, supplementary readings, research articles, self-awareness exercises and dynamic summaries. In conclusion, everything they need to obtain from this academic experience, the broadest and most comprehensive knowledge to adapt their professional profile to the specifications of the sector and the current labor demand. 

With this postgraduate diploma course you will be able to master the management of the multiple databases that exist today"

This  postgraduate diploma in Bioinformatics and Big Data in Medicine contains the most complete and up-to-date educational program on the market. The most important features include:

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

You will be able to implement to your skills catalog the extensive and specialized handling of the most innovative techniques for bioinformatics computation"

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 training programmed to train in real situations. 

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

You will be able to access the Virtual Campus from any device with Internet connection, whether it is a PC, tablet or cell phone "

A unique academic opportunity to implement the most innovative and effective enrichment and clustering techniques in your practice.

The objective of this postgraduate diploma in Bioinformatics and Big Data is to guide the graduate in their extensive knowledge of this sector. That is why TECH and its team of experts have invested a great deal of time to shape a highly enabling academic experience, which will allow them to know in detail the most comprehensive and detailed information, including the necessary ones to handle perfectly the tools for processing, computing or creating databases. 

A program designed in a dynamic and innovative way, which will make your course an unparalleled academic experience"

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 health care 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 eHealth
• 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

Module 1. 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 2. 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 3. Big Data in Medicine: Massive Medical Data Processing

• Develop specialized knowledge on mass data collection 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

A unique, key, and decisive training experience to boost your professional development"