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Why take a Master's Degree in Agile Methodologies for Project Management and Digital Transformation?

With this Postgraduate you will be able to incorporate into organizations a management system based on innovation for a better and faster adaptation to competitive and changing environments. You can introduce cultural and organizational changes in the company, design medium and long-term innovation strategies, lead the development of innovative "big ideas", manage financial and human resources, develop new business models that improve the customer experience and identify and solve complex problems through the agile methodology.


Module 1: Innovation and Business

At the end of this module you will understand the importance that the innovative spirit reaches within a company and you will learn to draw on it a differential strategy with which it stands out against its competitors.

  • Relationship between Innovation and competitiveness
  • Research, technological development, innovation
  • The culture of innovation
  • Innovative business strategy
  • Case study
  • Online exam

Module 2: Innovation Management

You will learn to develop in an innovative environment. You will know the tools and concepts that will allow you to manage the new technologies that already flood the business environment.

  • Innovation management systems
  • Techniques and tools for innovation management
  • Management of innovative projects
  • The measure of innovation
  • Management of the new technological wave:
  • Innovative marketing
  • ICT technologies at the service of innovation
  • Open innovation
  • Innovation ecosystems
  • Case study
  • Online exam

Module 3: Introduction to the Agile and Scrum Methodology

Agile project management or Agile Project Management is an iterative methodology for planning a project through an agile and flexible approach. You will get to measure the performance of a project in terms of achieving the objectives set.

  • Introduction to agilismo
  • Agile methodologies
  • Delivery driven by the value of the business
  • Adaptive planning
  • Start of the agile project
  • Roadmap and release plan
  • Planning and execution of each iteration
  • Control and closure of each iteration
  • Involvement of stakeholders and roles
  • Applying the agile paradigm
  • Case study
  • Online exam

Module 4: Lean M anufacturing

The Lean philosophy is a management model aimed at generating flow in a project in order to deliver the maximum value using the minimum possible resources. In this module, you will learn to master this approach.

  • Introduction and general principles of lean manufacturing
  • The adjustment of production to demand
  • Improvement activities and 0 defects
  • Case study
  • Online exam

Module 5: Lean Construction

As a complement to the previous module, you will obtain the necessary tools to apply the Lean philosophy in Construction projects.

  • Introduction to the Lean philosophy
  • The Lean philosophy in response to change
  • Basic concepts of Lean construction
  • Reliable flow: Value Stream Mapping
  • Planning and control: Last Planner System
  • Collaborative contracting: Integrated Project Delivery
  • Relationship between the Lean construction and the BIM
  • The need for a change in the productive model
  • Implement Lean Construction
  • Practical Case
  • Online exam

Module 6: Introduction to Six Sigma

Six Sigma is a methodology to improve processes that focuses on reducing the variability thereof, leading to reduce or even eliminate defects on a product or service.

  • Introduction to Lean Six Sigma Improvement
  • Define: Identify improvement project (CTQ, SIPOC, etc.)
  • Measure: Introduction to statistics, capacity and sigma level
  • Analyze: Analysis tools, causes of defects and waste
  • Improve: Process improvements
  • Control: Validate improvement results, introduction to SPC and control plan
  • Practical Case
  • Online exam

Module 7: Introduction to Big Data

In this module, you will learn the key concepts to successfully deal with the management of the large volumes of data that companies and people are continually throwing away.

  • From data to strategic decisions
  • Data management
  • Business intelligence
  • Big data
  • Representation of the data
  • Display
  • Analytics
  • Analytics domains
  • Internet of things (iot)
  • The digitalization of companies
  • Management of bi / big data projects
  • Data Protection
  • Practical Case
  • Online exam

Module 8: Artificial Intelligence, Robotics and Automation

Thanks to this module you will get a global view on how robots and recent technological innovations can digitize the business environment.

  • Artificial intelligence
  • Introduction to Artificial Intelligence
  • Brief history of AI: from myth to reality
  • Knowledge representation
  • Search
  • Machine Learning I
  • Machine Learning II
  • BigData
  • Human-computer interaction
  • The future of AI: ethical issues and diversity
  • Case study
  • Online exam
  • Robotics
  • Introduction to robotics
  • Brief history of robotics: from the automaton to the humanoid
  • Basic concepts
  • Grasping and Locomotion (industrial robotics)
  • Computer Vision
  • Motion-planning
  • Human-robot interaction: Speech Recognition and Natural Language Processing
  • Control systems
  • The future of robotics: the limits of ethics and automation
  • Case study
  • Online exam

Module 9: Internet of Things

Internet of Things (IoT), for its acronym in English, refers to the ability, present or future, of connection to the network of the most common objects and elements that we usually have.

  • Introduction to the course
  • The IoT and its applications
  • General concepts applied to the IoT
  • IoT hardware
  • Platforms, software and interoperability
  • Communication protocols
  • Architectures
  • Security
  • Case study
  • Online exam

Module 10: Introduction to Drones and their Applications in Engineering

"Dron" is the name with which we usually refer to unmanned aerial vehicles (UAV, for its acronym in English). When you finish this course you will have obtained a global conception of the infinite possibilities of improvement offered by the introduction of drones in companies of any professional field.

  • Concepts and basic fundamentals of the application of drones
  • Remote sensing from drones
  • Sensors on board a drone
  • Digital image processing
  • Integration with Geographic Information Systems
  • Applications in the Visible region
  • Applications in the Infrared
  • Thermal Applications
  • LIDAR applications
  • Other applications of drones
  • Practical Case
  • Online exam

Module 11: Introduction to BIM

The BIM (Building Information Modeling) methodology is revolutionizing the construction sector thanks, among other things, to the reduction of costs and times that its implementation implies.

  • BIM Methodology
  • Introduction to BIM project management
  • Introduction to the organization and theory of information in the field of the construction sector
  • Online exam
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Last updated March 28, 2019
This course is Online
Start Date
Apr 2019
1 year
4,490 EUR
By locations
By date
Start Date
Apr 2019
End Date
July 14, 2020
Application deadline

Apr 2019

Application deadline
End Date
July 14, 2020