With TECH Technological University, you will get up to date on advances in Bioinformatics and Big Data applied to Medicine" 

In recent years, the development of bioinformatics has made it possible to achieve great scientific advances in various sectors such as agriculture, food and medicine. It is in this field where the incorporation of new techniques and computer processing have allowed the collection of a large amount of biological data, working with them and even creating a 3D model of the viral protein of the COVID-19 spike. All this not only leads to a better understanding of viral processes, but also to obtaining vaccines or specific drugs in less time. 

Likewise, given the speed of mutation and transmission of diseases, the massive collection and analysis of clinical data will lead to more effective action, from prevention to cure. A reality of great interest for medical professionals who want to keep abreast of developments in this field. For this reason, TECH has created this program in Bioinformatics and Big Data in Medicine, developed by a team of professionals with extensive experience in this field. 

A 100% online program, where the specialist will be able to delve dynamically into future trends in Bioinformatics computing, analysis techniques used in biomedical datasets or the different tools used from engineering in bioprocesses. All this, through a content with a theoretical-practical approach, complemented with multimedia teaching resources of excellent quality. 

In addition, thanks to the Relearning method, the graduate will be able to progressively advance through the syllabus and reduce the long hours of study with the reiteration of key concepts during the course of this program. 

In this way, this educational institution offers the specialist the most relevant and current information on Bioinformatics and Big Data in Medicine through a flexible program, which can be accessed whenever and wherever they want. All you need is an electronic device (computer, tablet or cell phone) with an Internet connection to access, at any time, the syllabus hosted in the Virtual Campus. An ideal option for those who seek to balance the most demanding responsibilities with a quality university program.  

With this program, you will learn about the use of Machine Learning algorithms in public health and the existing problems with data privacy" 

This postgraduate diploma in Bioinformatics and Big Data in Medicine contains the most complete and up-to-date scientific program on the market. Its most notable features are:

• This  Postgraduate Diploma in Bioinformatics and Big Data in Medicine contains the most complete and up-to-date scientific program on the market. Its most notable features are:
• 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

The Relearning system, used by TECH Technological University, will help you to reduce the long hours of study and to easily learn key concepts" 

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 during the course. For this purpose, the student will be assisted by an innovative interactive video system created by renowned and experienced experts. 

This postgraduate diploma provides you with the most relevant biomedical, DNA and protein databases in the field of medical research.

This program provides you with the most relevant biomedical, DNA and protein databases in the field of medical research.

In this educational program, the medical professional will learn the most recent techniques and methods used in Bioinformatics and Big Data. In this way, in just 6 months they will be able to update their knowledge on clinical applications, the methodology used for the massive collection of health data and the current trends in biomedical research and public health. For this, TECH will provide the most advanced teaching tools, which will provide greater dynamism, achieving the maximum performance of this postgraduate diploma. 

A program that will allow you to keep abreast of progress in bioinformatics and its contribution to the development of new drugs" 

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. 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

• 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

This program will give you a practical and direct view of Big Data in Medicine thanks to case study simulations”