If you need a program that guarantees you a very high degree of specialization in the field of Applied Statistics and its techniques, look no further: this program is perfect for you”

If there is one thing that Statistics has shown, it is the flexibility and possibilities of applying its techniques and strategies to all fields and areas. Medicine, architecture, biology, politics, economics, marketing, etc. Any field makes use of the processes of probability and estimation to determine future trends and patterns of action, which increases the chances of achieving the expected results based on previous analysis of the behaviors displayed by agents or entities involved in a particular issue, such as customers, pathogens, resistance of materials, inclination of the vote, etc.

Thanks to the progress made in the field of Mathematics and Computer Science, it is now possible to use countless strategies that facilitate the automatic collection and massive management of data, optimizing processes and guaranteeing a series of more concrete and reliable results. For professionals in this field to know these intricacies in detail, TECH has developed the professional master’s degree in Statistical Techniques. This is a multidisciplinary and intensive program where students will be able to to immerse themselves in state-of-the-art features of chance and probability, data exploration and estimation. They will also comprehensively work on the main advanced linear and multivariate prediction methods to formulate problems with a high rate of computational success.

Therefore, the student will benefit from 1,500 hours of material distributed in different formats: mainly the syllabus, designed by experts in Statistics and Computer Science, use cases based on real situations and additional material such as detailed videos, research articles, complementary readings, dynamic summaries and much more. Everything will be available on the Virtual Campus, which can be accessed without schedules or limits from any device with an Internet connection. In this way, students will undertake training adapted to their needs that will undoubtedly increase their knowledge and statistical talent to the highest professional level.

A 100% online program where you will be able to work on the most innovative concepts related to chance and probability applied to statistical calculation”

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

• The development of case studies presented by experts in Applied 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 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

You will have a specific module specialized in databases, so you can implement the main strategies of design and management of information in your professional practice”

The program’s teaching staff includes professionals from 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. 

You will have access to the Virtual Campus 24 hours a day, 7 days a week, without limits or schedules, and all you need is a device with an Internet connection"

You will work on the central position characteristics of one-dimensional descriptive statistics, focusing on optimized and accurate data exploration"

The syllabus for this professional master’s degree has been designed so graduates are guaranteed to specialize in the field of Statistics, specifically to master the main estimation and regression techniques. In order to do so, they will have all the best material, as well as the most avant-garde and innovative academic technology in the current academic world. Therefore, students will work to achieve their most ambitious professional goals through a training program that will provide them with everything they need to achieve them in only 12 months’ time. 

Whatever your goals are, TECH will provide you with everything you need to not only achieve them, but surpass them in less than 12 months”

General Objectives

• Understand computer algorithms used to manage databases and SQL language 
• Critically evaluate the work performed using quality criteria 
• Perform basic operations related to information debugging
• Use the appropriate sources of information for each type of applied study
• Handle the statistical software required to solve statistical inference problems 

Specific Objectives 

Module 1. Chance and Probability

• Apply the techniques of probability calculation
• Become familiar with the usual random variables
• Build elementary models
• Know how to use limit theorems (laws of large numbers and central limit theorem)

Module 2. 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 3. Databases: Design and Management

• Manage a database 
• Correctly identify types of data and measures 
• Identify the advantages and disadvantages of the Internet as an important source of statistical information 

Module 4. Estimations I

• Become familiar with the methods of statistical inference: estimations 
• Apply "statistical thinking" and deal with the different stages of a statistical study (from the problem statement to presenting results) 

Module 5. Estimations II

• Become familiar with the methods of statistical inference: hypothesis contrasting 
• Choose and use the most appropriate estimation method in an investigation according to its objectives 

Module 6. Mathematics with Computers

• Know different programs to analyze statistics
• Develop statistical studies and reports using different programs
• Know the different types of functions used in different programs
• Use and choose the best program for each statistical study to help reflect on and reach a conclusion of statistical data

Module 7. Linear Prediction Methods

• Introduce linear models
• Study, understand and apply simple linear regression models
• Study, understand and apply multiple linear regression models

Module 8. Multivariate Statistical Techniques I 

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

Module 9. 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 10. Advanced Prediction Techniques

• Study, understand and apply specific prediction methods for one or more variables in situations where traditional methods present problems of a theoretical nature, or when the solution provided is not sufficiently satisfactory

An academic experience that will provide you with the keys to master the procedures to build estimators based on the most innovative Statistical Techniques”