With this Professional master’s degree, you will be able to update all your knowledge about Medical and Biomedical Research in order to offer a service adapted to the digital paradigm"

Physiotherapy has an increasing number of patients worldwide. If in ancient times injuries were treated with medications or other drugs, today they are treated with techniques that have been scientifically proven to relieve muscle tension, promote tissue mobility and the quality of movement. However, the high intrusion in this health field opens debates about its benefits and weakens the individual's confidence in this discipline. 

For this reason, it is essential to have adequate Scientific Research in Medicine, because even a poor structuring of this research can invalidate therapeutic techniques already established in clinical care. In this sense, it is a science not much developed, so public and private organizations in the health area require highly qualified professionals to respond to the application of Physiotherapy through various techniques. TECH Global University has developed a specific and rigorous program whose main objective is to instruct specialists in this area and other health professionals interested in the development of research projects under appropriate scientific protocols. 

This Professional master’s degree in Medical Research aims to update the knowledge of experts in clinical trials in order to demonstrate the capacity of physiotherapeutic techniques. An intensive learning totalizing 1,500 hours of audiovisual materials, 100% online which allows students combining the study of this program with the development of their personal and professional lives. 

Stand out in an industry in constant change due to the incorporation of new technologies in the medical field" 

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

• The development of 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 the self-assessment process can be carried out 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

Still don't know the funding opportunities for health care projects? Obtain all the key information about public calls for proposals, in Europe and abroad, so that you can carry out your profession with guarantees"

The program’s teaching staff includes professionals from the sector who contribute their work experience to this program, as well as renowned specialists from leading societies and prestigious universities.  

Its multimedia content, developed with the latest educational technology, will allow professionals to learn in a contextual and situated learning environment, i.e. a simulated environment that will provide immersive learning programmed to prepare in real situations.  

The design of this program focuses on Problem-Based Learning, by means of which professionals must try to solve the different professional practice situations that arise during the year. This will be done with the help of an innovative system of interactive videos made by renowned experts.     

Stay informed on the scientific method applied to population samples so you can promote clinical evidence in physical therapy"

Boost your career by being part of collaborative research projects that have created extensive professional networks"

The knowledge provided in this Professional master’s degree in Medical Research has been contributed by experts who develop their own lines of research in Medicine. In addition, TECH Global University uses 1,500 hours of audiovisual materials in various formats such as video summaries, activities, self-tests and explanatory videos to make the program more dynamic. All this, together with the innovative Relearning methodology, allows professionals to be highly satisfied by not having to invest long hours of memorization and being able to assimilate the contents in a gradual and simple way. 

A syllabus adapted to your needs so you can choose the pace of study using just an electronic device and Internet” 

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 Strategies and Keywords Pubmed and Other Repositories of Scientific Articles 
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. Transnational 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 
3.11. Ethical Aspects 

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 EC 
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 
4.7. Good Clinical Practice Criteria 
4.8. Drug Research Ethics Committee 
4.9. Search for Funding for Clinical Trials 

4.9.1. Public. Main Spanish, 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. International Scientific Lobbying 

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 a 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. 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, Memos 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. Introduction: The Mistake of Starting with this Section
8.5. 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, Symposiums, Congresses, Dissemination to Society 

9.1. Presentation of Results at Congresses and Symposia 

9.2.1. How is a Poster Generated? 
9.2.2. Data Representation 
9.2.3. Focusing the Message 

9.3. Short Communications 

9.3.1. Data Representation for Short Communications 
9.3.2. Focusing the Message 

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

9.5.1. Need Vs. Opportunity 
9.5.2. Use of References 

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

9.8.1. Instant Dissemination via Twitter 

9.9. How to Turn a Scientific Paper into a Dissemination Material? 

9.9.1. Podcast 
9.9.2. YouTube 
9.9.3. Tik Tok 
9.9.4. Comics 

9.10. Popular Literature 

9.10.1. Columns 
9.10.2. 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. Spin-Off Company Generation Based on Research Projects 
10.10. Search of Investment Opportunities in Spin-Off Companies

An academic opportunity for professionals like you who are looking for enhancing their skills in the theoretical-practical field of the research”