Delve into the requirements of Medical Bioinformatics and give your career a quality boost" 

Informatics is already one of the most powerful allies for physicians around the world. With specialized programs, huge amounts of data can be managed and classified, not only for cutting-edge scientific studies, but also for the physician's own day-to-day work. Thanks to information technology, it is possible to have a complete and navigable history of each patient, with all kinds of information available instantly.

This is possible in part because Computer Engineering itself has adapted to the demands of doctors who have also benefited from advances in big data management or data visualization. Therefore, engineers have a great opportunity to obtain a modern, in-demand specialization that can significantly boost their own careers. 

This is where this TECH Postgraduate certificate comes into play, which has been developed precisely to delve into all the latest issues of Medical Bioinformatics. This university program is the perfect starting point to consolidate and further develop knowledge on topics such as data analysis, data mining, artificial intelligence or sustainable bioinformatics. 

A great 100% online opportunity that does not require classroom attendance or adherence to a scheduled timetable. The engineers themselves decide when and where to take on the course workload, and are able to download the entire syllabus from the very beginning of the program. 

Get up to date with entire units dedicated to Machine Learning for Medical Bioinformatics, data analysis with Python programming and virtual work environments specific to this field" 

This Postgraduate certificate in Medical Bioinformatics contains the most complete and up-to-date program on the market. Its most notable features are:

• Case studies presented by experts in Biomedical Engineering
• 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

Reinforce your value proposition with a university qualification that will demonstrate your desire to continue growing and improving in a highly specialized field" 

The program’s teaching staff includes professionals from sector who contribute their work experience to this training 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 training programmed to train 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 academic year. For this purpose, the student will be assisted by an innovative interactive video system created by renowned and experienced experts.   

You have the freedom to adapt the syllabus to your own pace, allowing you to balance it with other personal or professional responsibilities"

Reinforce your value proposition with a university qualification that will demonstrate your desire to continue growing and improving in a highly specialized field"

To help the professional optimize their studies, TECH incorporates the most efficient educational methodology in its programs. Relearning, a method pioneered by TECH , ensures that the professional acquires an essential understanding of key concepts gradually and repeatedly. The engineer will also find a large amount of complementary material in this Postgraduate certificate, including summaries of each unit and complementary readings on Medical Bioinformatics. 

The exercises proposed throughout the syllabus will help you understand the more complex theoretical terms much better"  

Module 1. Medical Bioinformatics

1.1. Medical Bioinformatics

1.1.1. Computing in Medical Biology
1.1.2. Medical Bioinformatics

1.1.2.1. Bioinformatic Applications
1.1.2.2. Computer Systems, Networks and Medical Databases
1.1.2.3. Applications of Medical Bioinformatics in Human Health

1.2. Computer Equipment and Software Required in Bioinformatics

1.2.1. Scientific Computing in Biological Sciences
1.2.3. The Computer
1.2.4. Hardware, Software and Operating Systems
1.2.5. Workstations and Personal Computers
1.2.6. High-Performance Computing Platforms and Virtual Environments
1.2.7. Linux Operating System

1.2.7.1. Linux Installation
1.2.7.2. Using the Linux Command Line Interface

1.3. Data Analysis Using R Programming Language

1.3.1. Language R Statistical Programming
1.3.2. Installation and Uses of R
1.3.3. Data Analysis Methods With R
1.3.4. R Applications in Medical Bioinformatics

1.4. Data Analysis Using R Programming Language

1.4.1. Multipurpose Programming Language Python
1.4.2. Installation and Uses of Python
1.4.3. Data Analysis Methods with Python
1.4.4. Python Applications in Medical Bioinformatics

1.5. Methods of Human Genetic Sequence Analysis

1.5.1. Human Genetics
1.5.2. Techniques and Methods for Sequencing Analysis of Genomic Data
1.5.3. Sequence Alignments
1.5.4. Tools for Detection, Comparison and Modeling of Genomes

1.6. Data Mining in Bioinformatics

1.6.1. Phases of Knowledge Discovery in Databases, KDD
1.6.2. Processing Techniques
1.6.3. Knowledge Discovery in Biomedical Databases
1.6.4. Human Genomics Data Analysis

1.7. Artificial Intelligence and Big Data Techniques in Medical Bioinformatics

1.7.1. Machine Learning for Medical Bioinformatics

1.7.1.1. Supervised Learning: Regression and Classification
1.7.1.2. Unsupervised Learning Clustering and Association Rules

1.7.2. Big Data
1.7.3. Computing Platforms and Development Environments

1.8. Applications of Bioinformatics for Prevention, Diagnosis and Clinical Therapies

1.8.1. Disease-Causing Gene Identification Procedures
1.8.2. Procedure to Analyze and Interpret the Genome for Medical Therapies
1.8.3. Procedures to Assess Genetic Predispositions of Patients for Prevention and Early Diagnosis

1.9. Medical Bioinformatics Workflow and Methodology

1.9.1. Creation of Workflows to Analyze Data
1.9.2. Application Programming Interfaces, APIs

1.9.2.1. R and Python Libraries for Bioinformatics Analysis
1.9.2.2. Bioconductor: Installation and Uses

1.9.3. Uses of Bioinformatics Workflows in Cloud Services

1.10. Factors Associated with Sustainable Bioinformatics Applications and Future Trends

1.10.1. Legal and Regulatory Framework
1.10.2. Good Practices in the Development of Medical Bioinformatics Projects
1.10.3. Future Trends in Bioinformatics Applications

You will have detailed videos and interactive summaries of all the units of this Postgraduate certificate, made by the teachers themselves"