Thanks to this Professional master’s degree you will obtain all the knowledge required to develop a solid scientific base that provides solutions to the sports discipline”

Graduates of Physical Activity and Sport Sciences and other professionals in the sector interested in qualitative and quantitative studies can dedicate themselves to the investigation of the scientific factors that influence this field. However, in order to carry them out, specialists must have a perfect command of biomechanics, physiology and psychology and, in addition, understand the value of structuring the research project correctly. This will offer advantages not only to experts, but also to athletes, as scientists in this field promote their recovery, among other things, through psychological preparation and diets.

Given the limited academic options available in this field, TECH has developed a complete and rigorous program in research project generation, financing, statistics and R in health research, as well as result distribution through reports, memoirs and scientific articles. It is a program that has the quality endorsement of expert teachers who, in addition to being involved in the development of the contents, will be the ones to impart the knowledge to students.

In addition, TECH has incorporated 1,500 hours of audiovisual and dynamic materials that make the program an enriching experience through a digital medium with video summaries, activities and the simulation of real cases. All this, with the objective of updating specialists' skills so that they are prepared to face real practice. At the same time, TECH has integrated the innovative Relearning methodology, which exempts professionals from long hours of study, which, in addition to the 100% modality, allows them to be trained in a gradual, constant and simple way with all the guarantees.

Learn all the key elements to promote clinical trials on the performance of athletes and study their biological and psychological capabilities”

This Professional master’s degree in Sports Medical Research contains the most complete and up-to-date scientific program on the market. The most important features include:

• Case studies presented by experts in Health Sciences 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
• The availability of access to content from any fixed or portable device with an Internet connection

Update your skills to stay at the forefront of the group of professionals involved in collaborative research projects in the sports sector”

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.

Stand out in your sector by mastering statistics and R in health research thanks to the theoretical and practical contents offered by TECH”

Grow in a discipline that requires highly qualified professionals, so that you can be one of them”

The content of this Professional master’s degree in Sports Medical Research has been carefully developed by TECH with the support of a team of doctors and research experts. At the same time, TECH has incorporated the Relearning pedagogical system to facilitate students' studies. This way, they will not have to invest long and tiresome hours of study, but will assimilate the contents in a gradual and simple way n addition, TECH has integrated audiovisual materials in various formats into the degree program so that students can enjoy online teaching without sacrificing the rigor and dynamism of the course.

A syllabus designed for specialists like you, who are looking to perfect their skills to be much more competitive in today's workplace”

Module 1. The Scientific Method Applied to Health Research. Bibliographic positioning of the research

1.1. Definition of the Question or Problem to be Solved
1.2. Bibliographic Positioning of the Question or Problem to be Solved

1.2.1. Information Search

1.2.1.1. Strategies and Keywords

1.2.2. Pubmed and Other Repositories of Scientific Articles

1.3. Treatment of Bibliographic Sources
1.4. Treatment of Documentary Sources
1.5. Advanced Bibliography Search
1.6. Generation of Reference Bases for Multiple Use
1.7. Bibliography Managers
1.8. Extraction of Metadata in Bibliographic Searches
1.9. Definition of the Scientific Methodology to be Followed

1.9.1. Selection of the Necessary Tools
1.9.2. Design of Positive and Negative Controls in an Investigation

1.10. Translational Projects and Clinical Trials: Similarities and Differences

Module 2. Generation of Working Groups: Collaborative Research

2.1. Definition of Working Groups
2.2. Formation of Multidisciplinary Teams
2.3. Optimal Distribution of Responsibilities
2.4. Leadership
2.5. Control of Activities Achievement
2.6. Hospital Research Teams

2.6.1. Clinical Research
2.6.2. Basic Research
2.6.3. Translational Research

2.7. Creation of Collaborative Networks for Health Research
2.8. New Spaces for Health Research

2.8.1. Thematic Networks

2.9. Networked Biomedical Research Centers
2.10. Biobanks of Samples: International Collaborative Research

Module 3. Generation of Research Projects

3.1. General Structure of a Project
3.2. Presentation of Background and Preliminary Data
3.3. Definition of the Hypothesis
3.4. Definition of General and Specific Objectives
3.5. Definition of the Type of Sample, Number and Variables to be Measured
3.6. Establishment of the Scientific Methodology
3.7. Exclusion/Inclusion Criteria in Projects with Human Samples
3.8. Establishment of the Specific Team: Balance and Expertise
3.9. Expectations: an Important Element that we Forget
3.10. Budget Generation: a fine Tuning Between the Needs and the Reality of the Call

Module 4. The Clinical Trial in Health Research

4.1. Types of Clinical Trials (CT)

4.1.1. Clinical Trials Promoted by the Pharmaceutical Industry
4.1.2. Independent Clinical Trials
4.1.3. Drug Replacement

4.2. Phases of CE
4.3. Main Figures Involved in CE5
4.4. Generation of Protocols

4.4.1. Randomization and Masking
4.4.2. Non-Inferiority Studies

4.5. Patient Information Sheet
4.6. Informed Consent BORRAR
4.7. Good Clinical Practice Criteria
4.8. Drug Research Ethics Committee BORRAR
4.9. Search for Funding for Clinical Trials

4.9.1. Public. Main European, Latin American and U.S. Agencies
4.9.2. Private. Main Pharmaceutical Companies

Module 5. Project Financing

5.1. Search for Financing Opportunities
5.2. How to Adjust a Project to the Format of a Call for Proposals?

5.2.1. Keys to Success
5.2.2. Positioning, Preparation and Writing

5.3. Public Calls for Proposals. Main European and American Agencies
5.4. Specific European Calls for Proposals

5.4.1. Horizon 2020 Projects
5.4.2. Human Resources Mobility
5.4.3. Madame Curie Program

5.5. Intercontinental Collaboration Calls, Opportunities for International Interaction
5.6. Calls for Collaboration with the United States
5.7. Strategy for Participation in International Projects

5.7.1. How to Define a Strategy for Participation in International Consortia
5.7.2. Support and Assistance Structures

5.8. The International Scientific Lobbies

5.8.1. Access and Networking

5.9. Private Calls for Proposals

5.9.1. Foundations and Funding Organizations for Health Research in Europe and the Americas
5.9.2. Private Funding Calls for Proposals from U.S. Organizations

5.10. Securing the Loyalty of a Funding Source: Keys to Lasting Financial Support

Module 6. Statistics and R in Health Research

6.1. Biostatistics

6.1.1. Introduction to The Scientific Method
6.1.2. Population and Sample. Sampling Measures of Centralization
6.1.3. Discrete Distributions and Continuous Distributions
6.1.4. General Outline of Statistical Inference. Inference about a Normal Population Mean. Inference about a General Population Mean
6.1.5. Introduction to Nonparametric Inference

6.2. Introduction to R

6.2.1. Basic Features of the Program
6.2.2. Main Object Types
6.2.3. Simple Examples of Simulation and Statistical Inference
6.2.4. Graphs
6.2.5. Introduction to R Programming

6.3. Regression Methods with R

6.3.1. Regression Models
6.3.2. Variable Selection
6.3.3. Model Diagnosis
6.3.4. Treatment of Outliers
6.3.5. Regression Analysis

6.4. Multivariate Analysis with R

6.4.1. Description of Multivariate Data
6.4.2. Multivariate Distributions
6.4.3. Dimension Reduction
6.4.4. Unsupervised Classification: Cluster Analysis
6.4.5. Supervised Classification: Discriminant Analysis

6.5. Regression Methods for Research with R

6.5.1. Generalized Linear Models (GLM): Poisson Regression and Negative Binomial Regression
6.5.2. Generalized Linear Models (GLM): Logistic and Binomial Regressions
6.5.3. Poisson and Negative Binomial Regression Inflated by Zeros
6.5.4. Local Fits and Generalized Additive Models (GAMs)
6.5.5. Generalized Mixed Models (GLMM) and Generalized Additive Mixed Models (GAMM)

6.6. Statistics Applied to Biomedical Research with R I

6.6.1. Basic Notions of R. Variables and Objects in R. Data handling. Files Graphs
6.6.2. Descriptive Statistics and Probability Functions
6.6.3. Programming and Functions in R
6.6.4. Contingency Table Analysis
6.6.5. Basic Inference with Continuous Variables

6.7. Statistics Applied to Biomedical Research with R II

6.7.1. Analysis of Variance
6.7.2. Correlation Analysis
6.7.3. Simple Linear Regression
6.7.4. Multiple Linear Regression
6.7.5. Logistic Regression

6.8. Statistics Applied to Biomedical Research with R III

6.8.1. Confounding Variables and Interactions
6.8.2. Construction of a Logistic Regression Model
6.8.3. Survival Analysis
6.8.4. Cox Regression
6.8.5. Predictive Models. ROC Curve Analysis

6.9. Statistical Data Mining Techniques with R I

6.9.1. Introduction. Data Mining. Supervised and Unsupervised Learning. Predictive Models. Classification and Regression
6.9.2. Descriptive Analysis Data Pre-Processing
6.9.3. Principal Component Analysis (PCA)
6.9.4. Principal Component Analysis (PCA)
6.9.5. Cluster Analysis. Hierarchical Methods. K-Means

6.10. Statistical Data Mining Techniques with R II

6.10.1. Model Assessment Measures. Predictive Ability Measures. ROC Curves
6.10.2. Models Assessment Techniques. Cross-Validation. Bootstrap Samples
6.10.3. Tree-Based Methods (CART)
6.10.4. Support Vector Machines (SVM)
6.10.5. Random Forest (RF) and Neural Networks (NN)

Module 7. Graphical Representations of Data in Health Research and Other Advanced Analysis

7.1. Types of Graphs
7.2. Survival Analysis
7.3. ROC Curves
7.4. Multivariate Analysis (Types of Multiple Regression)
7.5. Binary Regression Models
7.6. Massive Data Analysis
7.7. Dimensionality Reduction Methods
7.8. Comparison of Methods: PCA, PPCA and KPCA
7.9. T-SNE (t-Distributed Stochastic Neighbor Embedding)
7.10. UMAP (Uniform Manifold Approximation and Projection)

Module 8. Dissemination of Results I: Reports, memoirs and scientific articles

8.1. Generating a Scientific Report or Memory of a Project

8.1.1. Optimal Approach to the Discussion
8.1.2. Presentation of the Limitations

8.2. Generation of a Scientific Article: How to Write a Paper on the Basis of the Data Obtained?

8.2.1. General Structure
8.2.2. Where Does the Paper Go?

8.3. Where to Start?

8.3.1. Adequate Representation of the Results

8.4. The Introduction: The Mistake of Starting with this Section
8.5. The Discussion: The Cusp Moment
8.6. The Description of Materials and Methods: The Guaranteed Reproducibility
8.7. Choice of the Journal where the Paper is to be submitted

8.7.1. Choice Strategy
8.7.2. Priority List

8.8. Adaptation of the Manuscript to the Different Formats
8.9. The Cover Letter: Concise Presentation of the Study to the Editor
8.10. How to Respond to Reviewers' Doubts? The Rebuttal Letter

Module 9. Dissemination of Results II: Symposia, congresses, dissemination to society

9.1. Presentation of Results at Congresses and Symposia

9.1.1. How is a Poster Generated?
9.1.2. Data Representation
9.1.3. Focusing the Message

9.2. Short Communications

9.2.1. Data Representation for Short Communications
9.2.2. Focusing the Message

9.3. The Plenary Lecture: Notes on How to Keep the Attention of the Specialized Audience for More than 20 Minutes
9.4. Dissemination to the General Public

9.4.1. Need Vs. Opportunity
9.4.2. Use of References

9.5. Use of Social Networks for the Dissemination of Results
9.6. How to Adapt Scientific Data to the Popular Language?
9.7. Hints for Summarizing a Scientific Paper in a Few Characters

9.7.1. Instant Dissemination via Twitter

9.8. How to turn a Scientific Paper into a Popularization Material

9.8.1. Podcast
9.8.2. YouTube Videos
9.8.3. Tik Tok
9.8.4. Comics

9.9. Popular Literature

9.9.1. Columns
9.9.2. Books

Module 10. Protection and Transfer of Results

10.1. Protection of Results: General Aspects
10.2. Valorization of the Results of a Research Project
10.3. Patents: Pros and Cons
10.4. Other Forms of Protection of Results
10.5. Transfer of Results to Clinical Practice
10.6. Transfer of Results to Industry
10.7. The Technology Transfer Contract
10.8. Trade Secrets
10.9. Generation of  SpinOff  Companies from a Research Project
10.10. Search for Investment Opportunities in  SpinOff Companies

Don't wait any longer, enroll now to be part of the Sports Medical Research, thanks to a 100% online program”