Master the interplay between Big Data and Machine Learning through 150 hours of the best digital teaching"

One of the major challenges faced by healthcare professionals in  Big Data  management lies in preserving the security of sensitive information. In the course of their respective jobs, doctors have access to private user data to take into account when planning therapies. Therefore, physicians need to learn the most effective tactics to mitigate risk in the handling of this information. In this context, they must acquire advanced skills to successfully overcome data confidentiality challenges in the field of biomedical  Big Data

To help them with this task, TECH implements a postgraduate certificate that will develop the most cutting-edge practical strategies for the application of  Big Data  in clinical decision making. The curriculum will analyze the implementation of interactivity systems in visualizations to improve understanding. Along the same lines, the curriculum will delve into a wide range of effective communication tactics for graduates to present complex analysis results. In addition, didactic materials will include the exploration of success stories in the implementation of biomedical big data in clinical research.

Along these lines, TECH offers a 100% online educational environment, tailored to the needs of busy professionals seeking to advance their careers. In addition, it will employ the  Relearning methodology, based on the repetition of key concepts to fix knowledge and facilitate learning. In this way, the combination of flexibility and a robust pedagogical approach makes it highly accessible. Students will also have access to a library full of multimedia resources in different multimedia formats such as interactive summaries, explanatory videos and infographics. All that will be required is that experts have an electronic device with Internet access to access the Virtual Campus, where they will find the most dynamic academic content on the market.

You will develop Artificial Intelligence algorithms to predict clinical outcomes, optimize treatment protocols and improve efficiency in the identification of relevant biomarkers"

This postgraduate certificate in Big Data Analytics and Machine Learning in Clinical Research  contains the most complete and up-to-date program on the market. The most important features include:

• Development of practical cases presented by experts in Big Data Analytics and Machine Learning in Clinical Research
• 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

You will address the integration of Big Data and Machine Learning in Clinical Research, improving your understanding about the most complex diseases"

The program’s teaching staff includes professionals from the field 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 academic year For this purpose, the students will be assisted by an innovative interactive video system created by renowned and experienced experts.

You will delve into Data Mining in clinical records to extract valuable patterns, all through innovative multimedia resources"

Thanks to the Relearning system used by TECH you will reduce the long hours of study and memorization"

This university program will equip physicians with a solid understanding of Big Data analytical tools and the use of Machine Learning algorithms in the clinical setting. Graduates will apply the most effective strategies to explore large medical datasets, extracting important patterns that can foster meaningful discoveries in medicine. Professionals will also gain practical skills to apply Artificial Intelligence models to their procedures, to individualize therapies and significantly improve clinical decision making.

You will dig into Big Data analytics applied to clinical data, including the acquisition, cleaning and exploration of large biomedical datasets"

General Objective

• Gain a solid understanding of the concepts of Big Data in the clinical setting and become familiar with essential tools for its analysis

Specific Objectives

• Gain a solid understanding of the concepts fundamental of Big Data in the clinical setting and become familiar with essential tools used for its analysis
• Explore advanced data mining techniques, machine learning algorithms, predictive analytics, and AI applications in epidemiology and public health
• Analyze biological networks and disease patterns to identify connections and potential treatments
• Address data security and manage the challenges associated with large volumes of data in biomedical research
• Investigate case studies that demonstrate the potential of Big Data in biomedical research

A unique, key, and decisive educational experience to boost your professional development”