Postgraduate in Analysis
and Data Prediction

About the Postgraduate

  • In the world there is a growing need for people who have knowledge of statistics, artificial intelligence and handling of massive amounts of data, in order to improve the decision-making of a company, with the aim of increasing profits or reducing costs.
  • The graduate may work in any Guatemalan or international industry where the handling of large amounts of data is required.
  • The graduate will be able to develop tools and products that use science to be able to make better predictions and guide a company to make the best decisions.
  • You will learn to develop intelligent algorithms in specialized tools and languages such as Python, R, SQL, Shiny Apps, among others.
    You will have the necessary knowledge to create products that facilitate data management for improved decision-making.
  • The program has a scientific focus and aims to enable its students to provide research contributions to the area of data science.
  • The student will have access to very high-level professors and lecturers, allowing them to have a global vision of the applications of the area in the world.

Information

Next start date:

January 2023

Modality:

Face-to-face and Virtual

Duration:

1 year

Journeys:

Night, Virtual

Venues:

Guatemala city

Entity:

Institute in Operations Research

// about

Race Information

About the Race
Admission profile
Graduate Profile

The Postgraduate Degree in Data Analysis and Prediction offers a world-class education in the area of Data Science. Our program was created based on a collaboration agreement with the Massachusetts Institute of Technology (MIT). It seeks that our graduates can have a strong impact on the Guatemalan industry, mainly, and the foreign industry. The nature of the area causes our students to be exposed to a variety of problems that can be found in different industries.

The postgraduate degree in Data Analysis and Prediction, due to its application in a wide variety of problems and industries and the novelty of the tools used, requires students who have basic technical / theoretical knowledge, intermediate English level and the best attitude to learn. to program using advanced software development languages. Ideally, the student who enters this program comes from careers such as Engineering, Mathematics, Physics, Statistics, Economics and related areas.

The graduate in Data Analysis and Prediction is a professional with solid knowledge of programming, statistics and mathematics applied to business. Understand the many applications of data science and the impact it can have on industry. He has technical and communication skills that allow him to develop in the corporate world in a successful way.

Featured Courses

01

Entrust full-cycle implementation of your software product to our experienced BAs,

01

Featured Course 1

Curso Destacado 1
01

Entrust full-cycle implementation of your software product to our experienced BAs,

01

Featured Course 1

Curso Destacado 1
01

Entrust full-cycle implementation of your software product to our experienced BAs,

01

Featured Course 1

Curso Destacado 1
01

Entrust full-cycle implementation of your software product to our experienced BAs,

01

Featured Course 1

Curso Destacado 1
01

Entrust full-cycle implementation of your software product to our experienced BAs,

01

Featured Course 1

Curso Destacado 1
01

Entrust full-cycle implementation of your software product to our experienced BAs,

01

Featured Course 1

Curso Destacado 1
01

Entrust full-cycle implementation of your software product to our experienced BAs,

01

Featured Course 1

Curso Destacado 1
01

Entrust full-cycle implementation of your software product to our experienced BAs,

01

Featured Course 1

Curso Destacado 1

Pensum

First year

  • Data Science in Python
  • Design and Construction of Data Warehouses
  • Statistics Applied to Data Science I
  • Algorithms in Data Science
  • Text Mining & Image Recognition
  • Statistical Learning II
  • Introduction to Research (Virtual)
  • Online certifications
  • Econometrics in R
  • Statistical Learning I
  • Statistics Applied to Data Science II
  • Research in Data Science
  • Product Development
  • Data Science at Work

Second year

  • Online Certifications

Labor Field

01
Big Data Architect
You will be able to take care of the collection and analysis of huge amounts of data to add value to the businesses of companies, for example, in the area of cybersecurity or to design large-scale data processing systems.
01
Data Analyst (Big Data Analyst)
You will be able to take care of the collection and analysis of huge amounts of data to add value to the businesses of companies, for example, in the area of cybersecurity or to design large-scale data processing systems.
01
Data Scientist
You will be able to take care of the collection and analysis of huge amounts of data to add value to the businesses of companies, for example, in the area of cybersecurity or to design large-scale data processing systems.
Emilia Clarke
Jorge Samayoa
Director of the Operations Research Institute
“It is not a career of the future, it is a profession that is currently in high demand. In the United States, around 70% of companies already have a data scientist in their ranks. "
Emilia Clarke
Preng Biba
Academic coordinator of the Operations Research Institute
“In the United States, many companies saw how Google implemented recommendations to its users based on their own searches. As it was successful, other companies were interested in doing it as well. This is Data Science. "

Professors

Alberth Alvarado Ph.D.

Director of the Department of Applied Mathematics at the Galileo University.

Carlos Zelada M.Sc.

Senior Manager of Analytics for Healthcare.com and PivotHealth.com

José Ramirez Ph.D.

Doctorate in Industrial Engineering, Texas A&M University.

Jorge Samayoa Ph.D.

Ph.D Industrial Engineering, Purdue University Ms. Applied Mathematics, Texas A&M University Ms. Operations Research, Galileo University Electronic Engineer, UFM

Admission requirements

You will be able to access to study this university career, by fulfilling the admission requirements.

Registration requirements
  • Interview with the Race Director
  • Authentic original of the University Degree: clear and legible images, with the stamps that validate its registration in the SAT and the Comptroller General of Accounts
  • Authentic DPI Original - One Side 150% Magnification, in Color, High Definition, and PDF
Graduation requirements
  • Complete stationery
  • Closed pensum of the Master's postgraduate courses
  • Complete extracurricular activities
Registration process
  • To be able to register, the student must have an interview with the director of the Master and present:
  • Authenticated photocopy of DPI
  • Signed registration form
  • CV

Contact us

Direction:

Galileo University 7a. Avenue, Dr. Eduardo Suger Cofiño street, Zone 10

Email

iio@galileo.edu

Phone

+502 2423-8000

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