The great importance of wildlife requires veterinarians specialized in their care and attention. With this program you will have access to the latest knowledge in the area"

For centuries, man's cohabitation with wildlife has been maintained in a fragile balance. This situation has worsened due to the accelerated growth of cities that invade natural spaces. Nor is it undeniable that the impact of climate change, causing longer periods of drought, pushes animals closer to urban environments in search of food and water. Because of this, many animals begin to ingest human waste, gaining dangerous weight or becoming sick from not following a proper diet.

Because of all these factors, it is necessary to have professionals capable of preserving, caring for and monitoring any endangered animal. Therefore, in this program, the veterinarian will have the opportunity to address all the fundamental concepts that make up the international regulatory framework for biodiversity conservation. For this, it will first have a theoretical mode, which will examine the monitoring of wildlife through various methods of observation, such as droppings, nests, pellets and other natural clues.

Likewise, the professional will know the parameters for hunting management, being a fundamental piece for the treatment of wild animals and their conservation. Likewise, all relevant aspects involving the livestock and hunting sector will be developed, taking into account the international regulatory framework that regulates these practices and favors animal conservation.

At the end of the online and theoretical program, veterinarians will be able to access the practical mode, for which they will spend 3 weeks in a prestigious center. Here, you will have the opportunity to execute everything you have learned, attending real cases and carrying out activities to guarantee the control and regulation of the animals under your care. A unique opportunity that only TECH offers.

You are before a University Certificate that offers a theoretical framework 100% online, which you can access, whenever and wherever you want"

This Hybrid professional master’s degree in Wildlife Management contains the most complete and up-to-date educational program on the market. The most important features include: 

• Development of more than 100 clinical cases presented by veterinary professionals focused on wildlife conservation
• 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
• Wildlife Assessment and Monitoring
• Presentation of practical workshops on diagnostic and therapeutic techniques in the veterinary patient
• Algorithm-based interactive learning system for decision-making in the presented clinical situations
• All of this will be complemented by 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
• In addition, you will be able to carry out a clinical internship in one of the best international hospitals

Spend 3 weeks in a prestigious center and get involved in projects focused on the regeneration of natural habitats"

In this Hybrid professional master’s degree proposal, of a professionalizing nature and blended learning modality, the program is aimed at updating veterinary professionals who develop their functions in wildlife recovery centers, and who require a high level of qualification. The contents are based on the latest scientific evidence and oriented in a didactic way to integrate theoretical knowledge into veterinary practice and the theoretical-practical elements will facilitate the updating of knowledge and will allow decision making in the rehabilitation of natural habitats.

Thanks to their multimedia content developed with the latest educational technology, they will allow the medical professional to learn in a contextual and situated learning environment, that is, a simulated environment that will provide immersive learning 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 throughout the program. For this purpose, the student will be assisted by an innovative interactive video system created by renowned experts.

Update your theoretical knowledge and put it into practice immediately thanks to the hybrid mode of this program"

The Relearning system of this program will allow you to reduce the long study and memorization hours"

The content of this online program consists of 10 well-structured modules that address topics such as the problem of invasive alien species or photomapping strategies to identify and monitor certain animal populations. Likewise, the student will be able to establish the necessary parameters in the design and configuration of the data analysis with Distance, a computer tool that allows importing data obtained in the field.

Thanks to this program you will be able to update your knowledge on grazing regulation methods, allowing you to ensure the sustainability of the environment"

Module 1. Fundamentals of Ecology

1.1. General Ecology I

1.1.1. Reproduction Strategies
1.1.2. Biological Indicators

1.1.2.1. Productivity
1.1.2.2. Sex Ratio
1.1.2.3. Flight Rate
1.1.2.4. Operational Birth Rate
1.1.2.5. Reproductive Success

1.2. General Ecology II

1.2.1. Birth Rate and Mortality
1.2.2. Growth
1.2.3. Density and Assessment

1.3. Population Ecology

1.3.1. Gregariousness and Territorialism
1.3.2. Feeding Area
1.3.3. Activity Patterns
1.3.4. Age Structure
1.3.5. Predation
1.3.6. Animal Nutrition
1.3.7. Extinction: Critical Periods

1.4. Biodiversity Preservation

1.4.1. Life Cycle Critical Periods
1.4.2. International Union for Conservation of Nature (IUCN) Categories
1.4.3. Conservation Indicators
1.4.4. Vulnerability to Extinction

1.5. Surrogate Species I

1.5.1. Keystone Species

1.5.1.1. Description
1.5.1.2. Real Examples

1.5.2. Umbrella Species

1.5.2.1. Description
1.5.2.2. Real Examples

1.6. Surrogate Species II

1.6.1. Flagship Species)

1.6.1.1. Description
1.6.1.2. Real Examples

1.6.2. Indicator Species

1.6.2.1. Biodiversity Status
1.6.2.2. Habitat Status
1.6.2.3. Population Status

1.7. Plant Ecology

1.7.1. Plant Successions
1.7.2. Animal-Plant Interaction
1.7.3. Biogeography

1.8. Ecosystems

1.8.1. Structure
1.8.2. Factors

1.9. Biological Systems and Communities

1.9.1.  Community
1.9.2. Structure
1.9.3. Biomass

1.10. Energy Flows

1.10.1. Nutrient Cycles

Module 2. Regulatory Bases in Species Conservation

2.1. Convention on Biological Diversity

2.1.1. Mission and Objectives
2.1.2. Strategic Plan for Biological Diversity

2.2. Convention on International Trade in Endangered Species of Wild Fauna and Flora

2.2.1. Structure and Objectives
2.2.2. Appendices I, II and III

2.3. RAMSAR Convention

2.3.1. Structure and Objectives
2.3.2. Designation of RAMSAR Sites

2.4. Other International Conventions

2.4.1. United Nations Convention to Combat Desertification
2.4.2. Bonn Convention on the Conservation of Migratory Species
2.4.3. OSPAR Convention

2.5. BERNA Convention

2.5.1. Structure and Objectives

2.6. Council Directive 92/43/EEC of 21 May 1992 on the conservation of natural habitats and of wild fauna and flora

2.6.1. Structure
2.6.2. Mission and Objectives
2.6.3. BORRAR

2.7. Council Directive 79/409/EEC of 2 April 1979 on the conservation of wild birds

2.7.1. Structure
2.7.2. Mission and Objectives

2.8. Regulatory framework in Spain I

2.8.1. Law 42/2007, of December 14, 2007, on Natural Heritage and Biodiversity

2.8.1.1. Spanish Inventory of Natural Heritage and Biodiversity
2.8.1.2. State Strategic Plan for Biodiversity and Natural Heritage

2.9. Regulatory framework in Spain II

2.9.1. Royal Decree 630/2013, of August 2, 2013, which regulates the Spanish Catalog of Invasive Alien Species
2.9.2. Law 31/2003, of October 27, 2003, on the conservation of wild fauna in zoos

2.10. South America: National Strategies for Biodiversity

2.10.1. Mission and Objectives
2.10.2. Main Lines of Action

Module 3. Wildlife Management

3.1. Management of Protected Natural Areas

3.1.1. Introduction
3.1.2. Structure
3.1.3. Restrictions

3.2. Management of Endangered Species Conservation

3.2.1. Action Plans
3.2.2. Recovery Plans

3.3. Natura 2000 Management

3.3.1. Structure
3.3.2. Indicators
3.3.3. Stocks

3.4. Forest Management

3.4.1. Forest Planning
3.4.2. Management Projects
3.4.3. Main Overlap between Forestry Management and Species Conservation

3.5. OnSite Management

3.5.1. Actions on the Habitat
3.5.2. Actions on Prey and Predators
3.5.3. Actions on Diet

3.6. OffSite Management

3.6.1. Captive Breeding
3.6.2. Reintroductions
3.6.3. Translocations
3.6.4. Recovery Centers

3.7. Invasive Alien Species (IAS) Management

3.7.1. Strategies and Plans

3.8. Management Tools: Access to Information

3.8.1. Data Sources

3.9. Management Tools: Strategies

3.9.1. Main Lines
3.9.2. Strategies against the Main Threats

3.10. Management instruments: the role of institutions

3.10.1. Organizations
3.10.2. Coordination and cooperation

Module 4. Wildlife Census

4.1. Introduction to Observation Methods

4.1.1. Direct Observation
4.1.2. Signs

4.1.2.1. Direct Signs
4.1.2.2. Indirect Signs

4.1.3. Electric Fishing

4.2. Indirect Signs: Natural Signs I

4.2.1. Natural Signs

4.2.1.1. Tracks
4.2.1.2. Paths and Steps
4.2.1.3. Droppings and Pellets

4.3. Indirect Signs: Natural Signs II

4.3.1. Sleeping Sites, Beds and Burrows
4.3.2. Territorial Markings
4.3.3. Moults, Hairs, Feathers and Other Remains

4.4. Indirect Signs: Techniques

4.4.1. Devices

4.4.1.1. Hair Traps
4.4.1.2. Sand Traps
4.4.1.3. Photo-Trapping

4.5. Census Design

4.5.1. Previous Concepts

4.5.1.1. Sizes and Density
4.5.1.2. Abundance Index
4.5.1.3. Accuracy and Precision

4.5.2. Cities

4.5.2.1. Aggregate Distribution
4.5.2.2. Uniform Distribution
4.5.2.3. Manipulable

4.5.3. Detectability and Catchability
4.5.4. GPS Data Acquisition

4.6. Direct Census: Static

4.6.1. Searches
4.6.2. Observation Points
4.6.3. Estimates from Hunting

4.7. Direct Census: Dynamics

4.7.1. Plot Census without Search
4.7.2. Fixed Band Transects
4.7.3. Line Transects

4.7.3.1. Capture-Recapture

4.7.3.1.1. Modifying of the Number of Individuals
4.7.3.1.2. Not Modifying the Number of Individuals

4.8. Wildlife Monitoring

4.8.1. Introduction to Ethology
4.8.2. Research Design

4.8.2.1. Behavior Description
4.8.2.2. Category Selection
4.8.2.3. Behavior Measures
4.8.2.4. Types of Sampling
4.8.2.5. Types of Recording
4.8.2.6. Inventories

4.9. Tracks

4.9.1. Influencing Factors
4.9.2. Ecological Information
4.9.3. Morfoligical
4.9.4. Finding and Preserving Tracks
4.9.5. Keys

4.10. Wildlife Monitoring Programs

4.10.1. Main experiences in Spain
4.10.2. Main Experiences in South America

Module 5. Resources to Acquire and Analyze Data on Species Distribution, Natural Areas and Environmental Habitat Variables

5.1. International Union for Conservation of Nature and Natural Resources (UICN)

5.1.1. Species Data and Distribution
5.1.2. Available tools for the analysis of species distribution data 

5.2. Global Biodiversity Information Facility (GBIF)

5.2.1. Species Data and Distribution
5.2.2. Available tools for the analysis of species distribution data

5.3. e-BIRD

5.3.1. Citizen Science in Global Massive Species Data Management
5.3.2. Data and Distribution of Avifauna from Citizen Science

5.4. MammalNet

5.4.1. Data and Monitoring of Mammals from Citizen Science

5.5. Ocean Biodiversity Information System (OBIS)

5.5.1. Species Distribution Data of Marine Species

5.6. Species and Habitats included in Natura 2000

5.6.1. Distribution Mapping of Natura 2000 Sites
5.6.2. Documentary Databases of Species, Habitats and Official Ecological Information
5.6.3. Monitoring Distribution, Pressures, Threats and Conservation Status through Official Sexennial Reports

5.7. World Network of Protected Natural Spaces

5.7.1. Protected Planet in Territorial Species Management

5.8. Natural Environments and Land Use

5.8.1. Corine Land Cover (CLC) Land Uses
5.8.2. Global Land Cover (GLC) of the European Space Agency for the Identification of Natural Environments
5.8.3. Land Resources Linked to Forest Environments
5.8.4. Land Resources Linked to Wetlands

5.9. Bio-Climatic Environmental Variables for Species Habitat Modeling

5.9.1. World Clim
5.9.2. Bio-Oracle
5.9.3. Terra Climate
5.9.4. ERA5 Land
5.9.5. Global Weather

5.10. Morphological Environmental Variables for Species Habitat Modeling

5.10.1. Digital models of wlevation
5.10.2. Digital Terrain Models

Module 6. Spatial Management of Species using Geographic Information Systems in QGIS

6.1. Introduction to Geographic Information Systems (GIS)

6.1.1. Introduction to Geographic Information Systems
6.1.2. Mapping File Formats for Species Analysis
6.1.3. Main Geoprocessing Analyses for Species Management

6.2. Reference Systems in Map Files

6.2.1. The Importance of Reference Systems in the Visualization and Accuracy of Field Data Linked to Species Distribution
6.2.2. Examples of Correct and Incorrect Data Management in Species Domains

6.3. QGIS Interface

6.3.1. Introduction to QGIS
6.3.2. Interface and Sections to be Analyzed and Data Display

6.4. Data Visualization and Display on QGIS

6.4.1. Visualizing Mapping Data on QGIS
6.4.2. Attribute Tables for Querying and Documenting Information
6.4.3. Symbolism for Sample Representation

6.5. QGIS Plug-ins for Species Mapping and Analysis

6.5.1. QGIS Plug-ins
6.5.2. GBIF Plug-in
6.5.3. Natusfera Plug-in
6.5.4. Species Explorer Plug-in
6.5.5. Citizen Science Platforms and Other Analysis Plug-ins

6.6. Cartographic Management of Sample Plots and Field Monitoring

6.6.1. Geometric Planning of Sampling Plots and Grids
6.6.2. Representation of Distribution Data, Sampling Data and Transects in the Field

6.7. Species Richness and Effort Maps

6.7.1. Analysis of Species Richness Data
6.7.2. Representation of Richness Maps
6.7.3. Analysis of Effort Data
6.7.4. Representation of Effort Maps

6.8. Practical Example: Multi-Criteria Analysis for Species Suitability Maps

6.8.1. Introduction to the Use of Land Suitability Maps
6.8.2. Analysis of Environmental Variables Linked to the Species
6.8.3. Analysis of Suitability Values for the Variables
6.8.4. Elaboration of Land Suitability Maps for Species

6.9. Creation of Ecological Corridors for Species Distribution

6.9.1. Introduction to Spatial Connectivity Strategies to Create Ecological Corridors
6.9.2. Resistance and Friction Maps vs. Suitability Maps
6.9.3. Identification of Connectivity Points
6.9.4. Development of Ecological Corridors for Species Distribution

6,10. Considerations for Field Data Collection

6.10.1. Available Technologies
6.10.2. Device Configuration prior to Data Collection
6.10.3. Technical Considerations in Data Documentation
6.10.4. Considerations according to the Scale of Work

Module 7. Potential Species Distribution Modeling with Maxent

7.1. Maxent and Predictive Models

7.1.1. Introduction to Maxent
7.1.2. Species Distribution Analysis File Formats

7.2. Prediction Analysis Mapping

7.2.1. Species Distribution Coordinates
7.2.2. Environmental Variables for Species Analysis

7.3. Cartographic Resources for Species Modeling

7.3.1. Baseline Data for Modeling
7.3.2. Resources to Obtain Territorial Environmental Variables
7.3.3. Resources to Obtain Species Distribution Data
7.3.4. Strategies to Convert Data to Maxent Required Formats

7.4. Format Restrictions and Limitations in Species Modeling Input Data

7.4.1. Format Standardization for Species Distribution Coordinates
7.4.2. Raster Format Standardization for Species-Dependent Territorial Variables

7.5. Maxent Management Interface for Species Distribution Modeling

7.5.1. Data Entry Sections and Program Configuration
7.5.2. Main Errors to Avoid during Modeling

7.6. Modeling Options

7.6.1. Logistic Model
7.6.2. Cumulative Model
7.6.3. Raw Model
7.6.4. Modeling under Future Scenarios

7.7. Potential Modeling with Variables and Distribution Data

7.7.1. Species Distribution Coordinates
7.7.2. Species-Dependent Raster Variables
7.7.3. Generation of Potential Species Distribution Models

7.8. Maxent Data Simulation and Display

7.8.1. Omission/Commission
7.8.2. Variable Contribution
7.8.3. Response Curves
7.8.4. Resulting Distribution Maps
7.8.5. Supplementary Analytical Data
7.8.6. Data Validation and Testing

7.9. Future Predictions for Territorial Change Scenarios

7.9.1. Future Environmental Variables
7.9.2. Future Scenario Modeling

7.10. Display and Interpretation of Models in QGIS

7.10.1. Importing Results in QGIS
7.10.2. Symbology and Visualization of Results in QGIS

Module 8. Hunting and Game Management

8.1. Introduction to Hunting and Game Management

8.1.1. Hunting and Game Management and Species Conservation
8.1.2. Conservation Scales

8.1.2.1. Sustainability
8.1.2.2. Habitat Conservation
8.1.2.3. Species Conservation
8.1.2.4. Conservation of Genetic Variability

8.2. Grazing Regulation Systems

8.2.1. Limits of the Environment
8.2.2. Grazing Control Methods

8.2.2.1. Rotational
8.2.2.2. Continuous

8.3. Burden Estimation

8.3.1. Calculation Methods

8.3.1.1. Calculating Simplified Burden Capacity
8.3.1.2. Calculating Monthly Burden Capacity
8.3.1.3. Calculating Herbivore Requirements
8.3.1.4. The "Andalusian" Method”

8.3.2. Indicators

8.4. Big Game Hunting Management

8.4.1. Forestry

8.4.1.1. Objectives
8.4.1.2. Interactions
8.4.1.3. Compatibilities
8.4.1.4. Management Actions

8.4.2. Agriculture

8.4.2.1. Objectives
8.4.2.2. Interactions
8.4.2.3. Compatibilities
8.4.2.4. Management Actions

8.5. Small Game Hunting Management

8.5.1. Forestry

8.5.1.1. Objectives
8.5.1.2. Interactions
8.5.1.3. Compatibilities
8.5.1.4. Management Actions

8.5.2. Agriculture

8.5.2.1. Objectives
8.5.2.2. Interactions
8.5.2.3. Compatibilities
8.5.2.4. Management Actions

8.6. Legal Bases

8.6.1. Regulations BORRAR
8.6.2. Regulations in South America

8.7. Hunting Modalities

8.7.1. Big Game Hunting

8.7.1.1. Monteria Hunt
8.7.1.2. Battue
8.7.1.3. Approached Hunting or Stalking
8.7.1.4. Stand Hunting or Posting
8.7.1.5. Others

8.7.2. Small Game Hunting

8.7.2.1. Oppressive Hunting with Dogs
8.7.2.2. Flushing
8.7.2.3. Posting
8.7.2.4. Oppressive Hunting
8.7.2.5. Baiting
8.7.2.6. Others

8.8. Hunting and Game Planning

8.8.1. Technical Hunting Plans

8.8.1.1. Initial Considerations
8.8.1.2. Restrictions

8.8.2. Habitat Management Measures

8.8.2.1. Forestry
8.8.2.2. Agriculture
8.8.2.3. Livestock

8.9. Quota Determination

8.9.1. Formulas for Small Game Hunting

8.9.1.1. Estimates
8.9.1.2. Example

8.9.2. Formulas for Big Game Hunting

8.9.2.1. Estimates
8.9.2.2. Example

8.9.3. Selective and Management Hunting

8.9.3.1. Criteria

8.10. Main Game Species

8.10.1. Rabbits

8.10.1.1. Basic Biology
8.10.1.2. Ecological Requirements
8.10.1.3. Hunting Modalities

8.10.2. Deer

8.10.2.1. Basic Biology
8.10.2.2. Ecological Requirements
8.10.2.3. Hunting Modalities

8.10.3. Roe Deer

8.10.3.1. Basic Biology
8.10.3.2. Ecological Requirements
8.10.3.3. Hunting Modalities

8.10.4. Partridge

8.10.4.1. Basic Biology
8.10.4.2. Ecological Requirements
8.10.4.3. Hunting Modalities

Module 9. Wildlife Disease

9.1. Regulatory Framework

9.1.1. International Regulations
9.1.2. EU Standards

9.2. Wildlife Health Control

9.2.1. Containment
9.2.2. Contact Limitation
9.2.3. Prevalence Reduction

9.2.3.1. Eradicating Wild Hosts by Removal
9.2.3.2. Reducing Wild Host Density
9.2.3.3. Reducing Other Risk Factors
9.2.3.4. Treatments and Vaccinations

9.3. Wild Disease Indicators

9.3.1. Suspected Disease

9.3.1.1. Action Protocol

9.3.2. Confirmation of the Disease

9.3.2.1. Action Protocol

9.3.3. Management of Animal By-Products in Wildlife Diseases
9.3.4. Sample Collection

9.3.4.1. Birds
9.3.4.2. Mammals

9.4. Wildlife health surveillance plan

9.4.1. Health Surveillance

9.4.1.1. Geographical Scope
9.4.1.2. Target Species
9.4.1.3. Target Diseases
9.4.1.4. Active Surveillance
9.4.1.5. Passive Surveillance

9.4.2. Zoonotic

9.4.2.1. Viral
9.4.2.2. Bacterial
9.4.2.3. Parasitic

9.5. Capture, Removal and Disinfection of Affected Wildlife

9.5.1. Capture

9.5.1.1. Methods

9.5.2. Elimination

9.5.2.1. Methods

9.5.3. Cleaning and Vector Control

9.5.3.1. Disease Causing Agents
9.5.3.2. Main Chemical Disinfectants
9.5.3.3. Personal Safety Measures

9.6. Wildlife Disease:  Ruminants

9.6.1. Pasteurellosis
9.6.2. Keratoconjunctivitis
9.6.3. Mange
9.6.4. Tuberculosis
9.6.5. Foot and Mouth Disease
9.6.6. Ticks and Other Transmitted Diseases
9.6.7. Limping

9.7. Wildlife Disease: Wild Boars

9.7.1. Classical Swine Fever
9.7.2. African Swine Fever
9.7.3. Aujeszky’s Disease
9.7.4. Tuberculosis
9.7.5. Foot and Mouth Disease
9.7.6. Ticks and Other Transmitted Diseases
9.7.7. Limping

9.8. Wildlife Disease: Carnivores

9.8.1. Distemper
9.8.2. Mange
9.8.3. Aujeszky’s Disease
9.8.4. Tuberculosis
9.8.5. Ticks and Other Transmitted Diseases

9.9. Wildlife Disease: Birds

9.9.1. Influenza Aviar
9.9.2. Newcastle Disease
9.9.3. Botulism
9.9.4. Nile Fever and Other Flaviviruses

9.10. Wildlife Disease: Lagomorphs

9.10.1. Rabbit Hemorrhagic Disease
9.10.2. Mange
9.10.3. Myxomatosis
9.10.4. Tularemia and Yersiniosis
9.10.5. Ticks and Other Transmitted Diseases

Module 10. Wildlife Management Software: Statistica and Distance

10.1. Statistica: Descriptive Statistics

10.1.1. Introduction
10.1.2. Statisticians

10.1.2.1. Sample Size
10.1.2.2. Media
10.1.2.3. Fashion
10.1.2.4. Standard Deviation
10.1.2.5. Coefficient of Variation
10.1.2.6. Variance

10.1.3. Use in Statistica

10.2. Statistica: Probability and Statistical Significance

10.2.1. Probability
10.2.2. Statistical Significance
10.2.3. Distributions

10.2.3.1. Transformations

10.3. Statistics: Regressions
10.4. Statistics: Definition of Variables: Distributions in Discrete Variables
10.5. Statistics: Definition of Variables: Distributions in Continuous Variables
10.6. Statistica: Statistical Tests Part I
10.7. Statistica: Statistical Tests Part II
10.8. Distance: Introduction

10.8.1. Types of Transects

10.8.1.1. Line Transect
10.8.1.2. Pointtransect

10.8.2. Calculating Distances

10.8.2.1. Radially
10.8.2.2. Perpendicularly

10.8.3. Objects

10.8.3.1. Individual
10.8.3.2. Clusters

10.8.4. Detection Function

10.8.4.1. Selection Criteria
10.8.4.2. Key Functions

10.8.4.2.1. Uniform
10.8.4.2.2. Semi-normal
10.8.4.2.3. Negative Exponential
10.8.4.2.4. Risk Rate

10.9. Distance: Approximation

10.9.1. AIC

10.9.1.1. Limitations

10.9.2. Data Analysis
10.9.3. Stratification

10.10. Distance: Example

10.10.1. Data Entry
10.10.2. Analysis Settings
10.10.3. Truncation
10.10.4. Data Grouping
10.10.5. Stratification
10.10.6. Validation of Results

Multimedia pills, case studies or essential readings are some of the didactic elements that you will find in the resource library of this Hybrid professional master’s degree "