Computer Vision is the technology of the present and the future. Specialize with this program and achieve the professional progress you are looking for" 


In recent years, artificial intelligence has brought about a great revolution in the technological world. It has allowed for the development of software and machines that are capable of learning, generating new knowledge and acting according to the best available solution in each case. As such, its applications range from computational sciences, through research in areas such as healthcare, to the development of tools such as vehicles, robots or video games. 

It is a field in continuous expansion and is already fundamental in most computer and technology companies. However, precisely because of its great importance and momentum in recent years, specialties have been emerging that focus on one of its specific aspects. Computer Vision is one of the most important of these. This focuses on how machines process the visual information received and how that information can be used, either to improve the machine's own relationship with its own environment by making its operations more accurate, or to collect data efficiently. 

For this reason, it is a fundamental field and is closely related to Machine Learning, so more and more companies are looking for computer scientists specialized in this field who can provide the best technological solutions in the development of computer vision projects. This professional master’s degree offers an in-depth study of this field, bringing you closer to the most innovative knowledge and tools so that, upon completion of the program, you can make immediate professional progress thanks to your new competencies. 

And all this will be achieved by following TECH Technological University's 100% online methodology, specially designed so that working computer scientists and engineers can balance this program with their jobs, since it adapts to their personal circumstances. In addition, students will be accompanied throughout the learning process by an expert teaching staff and will enjoy the best multimedia teaching resources such as case studies, technical videos, master classes or interactive summaries, among many others. 

The future is already here. Do not miss the opportunity and become a leading expert in Computer Vision thanks to this professional master’s degree"

This professional master’s degree in Computer Vision contains the most complete and up-to-date educational program on the market. Its most notable features are:

  • The development of case studies presented by experts in computer science and computer vision
  • 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

Do not wait any longer and specialize in a key area of future technology that will make you advance professionally immediately" 

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. 

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. This will be done with the help of an innovative system of interactive videos made by renowned experts. 

Delve into artificial intelligence and Deep Learning and become a reference in the field of Computer Vision"


Enroll now and start developing promising computer vision projects with what you will learn in this program"


The main objective of this professional master’s degree is to offer computer scientists the latest developments in the field of Computer Vision so that they can develop their professional work with the best tools. Accordingly, this program offers a great depth of knowledge in this field, and by the end of it the student will be in a position to develop numerous projects with great technological potential in this essential area of the present and the future of computer science and engineering.  


Achieve all your career goals in the field of deep learning and Computer Vision with this high-level educational program" 

General Objectives

  • Obtain a global vision of the devices and hardware used in the world of computer vision
  • Analyze the different fields in which vision is applied
  • Identify where the technological advances in vision are at the moment
  • Assess what is being researched and what the next few years hold
  • Establish a solid foundation in the understanding of digital image processing algorithms and techniques
  • Assess fundamental computer vision techniques
  • Analyze advanced image processing techniques
  • Introducing the open 3D library
  • Analyze the advantages and difficulties of working in 3D instead of 2D
  • Introduce neural networks and examine how they work
  • Analyze metrics for proper learning
  • Analyze existing metrics and tools
  • Examine the pipeline of an image classification network
  • Analyze semantic segmentation neural networks and their metrics 

Specific Objectives

Module 1. Computer Vision 

  • Establish how the human vision system works and how an image is digitized
  • Analyze the evolution of computer vision
  • Evaluate image acquisition techniques
  • Generate specialized knowledge about illumination systems as an important factor when processing an image
  • Specify what optical systems exist and evaluate their use
  • Examine the 3D vision systems and how these systems provide depth to images
  • Develop the different existing systems outside the field visible to the human eye

Module 2. Applications and State-of-the-Art 

  • Analyze the use of computer vision in industrial applications
  • Determine how vision is applied in the autonomous vehicle revolution
  • Analyze images in content analysis 
  • Develop Deep Learning algorithms for medical analysis and Machine Learning algorithms for operating room assistance
  • Analyze the use of vision in commercial applications
  • Determine how robots have eyes thanks to computer vision and how it is applied in space travel
  • Establish what augmented reality is and fields of use
  • Analyze the Cloud Computing revolution
  • Present the state of the art and what the coming years have in store for us 

Module 3. Digital Image Processing 

  • Examine commercial and open-source digital image processing libraries
  • Determine what a digital image is and evaluate the fundamental operations to be able to work with them 
  • Introduce image filters 
  • Analyze the importance and use of histograms 
  • Present tools to modify images pixel by pixel 
  • Propose image segmentation tools 
  • Analyze morphological operations and their applications 
  • Determine the methodology in image calibration 
  • Evaluate methods for segmenting images with conventional vision 

Module 4. Advanced Digital Image Processing 

  • Examine advanced digital image processing filters 
  • Determine contour extraction and analysis tools 
  • Analyze object search algorithms 
  • Demonstrate how to work with calibrated images 
  • Analyze mathematical techniques for geometry analysis 
  • Evaluate different options in image compositing 
  • Develop user interface 

Module 5. 3D Image Processing 

  • Examine a 3D image 
  • Analyze the software used for 3D data processing 
  • Develop the open 3D 
  • Determine the relevant data in a 3D image 
  • Demonstrate visualization tools 
  • Establish denoising filters 
  • Propose geometric calculation tools 
  • Analyze object detection methodologies 
  • Evaluate triangulation and scene reconstruction methods 

Module 6. Deep Learning 

  • Analyze the families that make up the artificial intelligence world
  • Compile the main Frameworks of Deep Learning 
  • Define neural networks 
  • Present the learning methods of neural networks 
  • Fundamentals of cost functions 
  • Establish the most important activation functions 
  • Examine regularization and normalization techniques 
  • Develop optimization methods 
  • Introduce initialization methods 

Module 7. Convolutional Neural Networks and Image Classification 

  • Generate specialized knowledge on convolutional neural networks 
  • Establish evaluation metrics 
  • Analyze the performance of CNNs for image classification 
  • Evaluate Data Augmentation 
  • Propose techniques to avoid Overfitting 
  • Examine different architectures 
  • Compile inference methods 

Module 8. Object Detection 

  • Analyze how object detection networks work 
  • Examine traditional methods 
  • Determine evaluation metrics 
  • Identify the main datasets used in the marketplace 
  • Propose architectures of the Two Stage Object Detector type 
  • Analyze Fine Tuning Methods 
  • Examine different Single Shoot architectures 
  • Establish object tracking algorithms 
  • Apply detection and tracking of people 

Module 9. Image Segmentation with Deep Learning 

  • Analyze how semantic segmentation networks work 
  • Evaluate traditional methods 
  • Examine evaluation metrics and different architectures 
  • Examine video domains and cloud points 
  • Apply theoretical concepts through various examples 

Module 10. Advanced Image Segmentation and Advanced Computer Vision Techniques 

  • Generate specialized knowledge on the use of tools 
  • Examine semantic segmentation in medicine 
  • Identify the structure of a segmentation project
  • Analyze Autoencoders 
  • Develop Adversarial Generative Networks

You will be the great expert in Computer Vision of your environment when you finish this professional master’s degree"

Professional Master's Degree in Computer Vision


Machine Vision has become a fundamental tool for the development of various industries, such as manufacturing, automotive and security. In this context, it is essential that professionals are trained to develop and implement systems that can process, analyze and make decisions based on visual information. TECH's Professional Master's Degree in Machine Vision is an excellent opportunity to acquire knowledge and skills in this field. This study program, developed by a team of experts in the field, offers a complete and updated training in the use of Machine Vision technologies, delving into topics such as object detection, facial recognition, pattern identification and automation of industrial processes.

You will be at the forefront of the latest advances in Computer Vision


The Professional Master's Degree in Machine Vision has a 100% online methodology, which will allow you to advance studying without interrupting your work and personal life. In addition, the program offers numerous multimedia resources for learning, such as practical exercises, technical videos and master classes. Upon completion of the program, you will be prepared to apply your knowledge in the industry and perform in areas related to the development of advanced technological solutions and process automation.