With this professional master’s degree, you will contribute to the advancement of Computational Statistics through the most exhaustive knowledge based on the best computing and programming techniques”

The advances made in the field of Statistics have contributed to accurate and effective decisions based on massive data collection, analysis and conclusions drawn. However, if there is one element that has considerably promoted the evolution of this science, it is its coordinated action with Computing, thanks to which it has been possible to automate tasks, optimize actions and handle excessive amounts of information in a few seconds. Programming complex algorithms and designing static and dynamic data structures has allowed professionals in this field to work more safely and with more guarantees in estimating trends and making different social, economic and political predictions in the current environment.

Based on this and the high level of knowledge required in the field, TECH and its team of experts have decided to launch a program that will initiate graduates in Computational Statistics through a comprehensive tour of its main areas. As a result, this Professional Master's Degree is an educational experience of 1,500 hours that covers the latest developments related to the description and exploration of data, programming and the use of the main statistical software (SPSS and R). It also focuses on using statistics in current industrial settings and the sampling of designs for different fields. Finally, it highlights the main multivariate techniques for improving the quality of the results and, therefore, of the prediction.

All this, 100% online and through a program designed by real experts in the field, who have not only actively participated in shaping the syllabus, but have also selected hundreds of hours of varied additional material: use cases, detailed videos, research articles, additional readings, and much more! Everything will be available on the Online Campus from the very beginning and can be downloaded to any device with an Internet connection. In this way, TECH offers a comprehensive and flexible program that adapts to the needs of its students and to the most demanding requirements of the current labor market in Computational Statistics.

Achieving excellence and the highest professional level will not be complicated thanks to this program and the high degree of specialization that you will acquire by completing it”

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

• The development of practical cases presented by experts in Computational Statistics
• The graphic, schematic and practical contents of the book provide technical and practical information on those 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 for 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

A program that approaches Computational Statistics from its foundation up to comprehensive management, through the acquisition of the key concepts and a mastery of the main computer software”

It includes in its teaching staff a team of professionals from the field who bring to this program the experience of their work, in addition to recognized specialists from prestigious reference societies and 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. This will be done with the help of an innovative system of interactive videos made by renowned experts.

You will work on the design of complex algorithms through the most innovative and efficient descriptive techniques in current computational environments"

In the Online Campus you will find 1,500 hours of diverse content, which you can access from wherever and whenever you want, through any device with an Internet connection"

To stand out in the field of Computational Statistics, professionals must possess a series of technical and practical skills that differentiate them from the rest, namely, a mastery of the main programming tools and of the design of algorithm structures. Therefore, the objective of this program is, precisely, to provide students with all the material they need to achieve those skills, in a 1500-hour comprehensive program, where they will make use of the most sophisticated and cutting-edge academic technology in the current university environment.

You will work on the professional skills required for the main statistical software, thanks to which you will be able to confidently master control and execution flows”

General Objectives

• Provide the graduate with the latest and most exhaustive information on Computational Statistics, which will help them to specialize in this field, reaching the highest level of knowledge
• Provide everything necessary to acquire a professional mastery of the main tools in this field through the resolution of use cases based on real and frequent situations in the industry

Specific Objectives 

Module 1. Data Description and Exploration

• Know the descriptive and exploratory techniques to summarize information contained in experimental data sets
• Represent univariate and bivariate data sets graphically and numerically
• Interpret results and graphs in the context of the data
• Use statistical software to manipulate data, perform descriptive analysis and graphs

Module 2. Programming

• Know the software components in computer programming, as well as the fundamental types of data that compose the latter
• Master abstraction and modularity in designing systems for flows of execution in function calls

Module 3. Statistical Software I

• Become familiar with the work environments in SPSS
• Develop statistical programs in SPSS
• Know the different types of SPSS used
• Support reflections and conclusions drawn from statistical data using SPSS

Module 4. Statistical Software II

• Know the R environment
• Be able to develop a statistical program in R
• Know the different types of functions used by R
• Use R to help in the reflection and conclusion of statistical data

Module 5. Statistical Applications in Industry

• Apply and understand queuing theory
• Study deterministic and random models for decision-making in real projects and inventory planning systems
• Learn and understand statistical techniques for project management in Pert and CPM
• Identify common inventory models, analyze them and interpret the results

Module 6. Sampling Designs

• Introduction to basic sampling plans
• Acquire the conceptual and practical fundamentals to conduct the various sampling procedures presented
• Acquire the ability to apply the most appropriate method in each practical case

Module 7. Multivariate Statistical Techniques I

• Study and determine the true dimension of multivariate information
• Relate qualitative variables
• Classify individuals into pre-established groups based on multivariate information 
• Form groups of individuals with similar features

Module 8. Multivariate Statistical Techniques II

• Acquire the conceptual and practical fundamentals to conduct multivariate qualitative data analysis
• Apply specific software to solve each of these problems

Module 9. Six Sigma Methodology for Quality Improvement

• Offer different statistical tools for the control and continuous improvement of the quality of production processes commonly used in the Six Sigma methodology
• Put this knowledge into practice

Module 10. Advanced Prediction Techniques

• Understand and apply specific prediction methods for one or more variables in situations where traditional methods offer theoretical problems
• Get to know the different regression processes used in forecasting

Would you like to master operations with objects through R? Do you want to master the handling of graphics and their layout? Enroll in this professional master’s degree and you will achieve this and much more!”