Master in Data Science

About the Master

The Master in Data Science of Galileo University offers a world-class education in the field of data science. Our program was created based on a collaboration agreement with the Massachusetts Institute of Technology (MIT) because it seeks that our graduates can have a strong impact in the Guatemalan industry, mainly, and in the foreign one.

The student will have access to very high-level professors and lecturers, allowing them to have a global vision of the applications of the data science field in the world. The nature of the program makes you exposed to a variety of problems that can be found in different industries.

Information

Next start date:

January 2023

Modality:

Face-to-face and Virtual

Duration:

2 years

Journeys:

Night or flexible

Venues:

Guatemala city

Entity:

Institute in Operations Research

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Race Information

About the Race
Virtual mode
Graduate Profile

In the world there is a growing need for people who have knowledge of statistics, artificial intelligence and handling of massive amounts of data, with the aim of improving the decision making of a company to increase profits or reduce costs. One of the areas with the most demand today is the data science.

Therefore, this is a program was designed in collaboration with the best university in the world in technology: Massachusetts Institute of Technology (MIT). It has a scientific focus and aims for its students to be able to give research contributions to the area of data science.

The Master in Data Science It is made up of the following postgraduate degrees:

  • Postgraduate in Data Analysis and Prediction:

This program was created based on a collaboration agreement with the Massachusetts Institute of Technology (MIT).

The student of this Postgraduate 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.

  • MicroMaster in Statistics and Data Science:

This specialized postgraduate course is focused on the development of technical skills of data analysis and machine learning algorithms. It is taught by MIT through edX in virtual mode, completely in English.

In order for this MicroMasters® Program to be equivalent to the Data Science Master, it is necessary to complete it satisfactorily and present the credential obtained by edX and MIT at the Operations Research Institute of the Galileo University.

The virtual modality that you can choose promotes constructivist learning that avoids establishing specific study hours for all participants. Each student organizes their time and carries out the assigned activities according to their availability and the established demands.

  • You receive virtual 100% classes and have 24/7 access to all deferred content.
  • You have a virtual campus through which you can plan activities, communicate with your peers and teachers, monitor your evaluations, receive feedback.
  • You have videos and learning resources dosed to guide your learning in a dynamic and effective way.
  • You can raise questions and concerns through multiple communication channels (such as forums, email, virtual campus, etc.).
  • You receive accompaniment and support from experts.
  • You carry out questionnaires and interactive activities that seek to make it easier for you to retain and apply the content.

The graduate of the Master in Data Science 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.

The graduate of the Master in Data Science will have the following powers:

  • You will be able to work in any Guatemalan or international industry where the handling of large amounts of data is required.
  • You will be able to develop tools and products that use science 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.

Featured Courses

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

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Featured Course 1

Curso Destacado 1
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Entrust full-cycle implementation of your software product to our experienced BAs,

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Featured Course 1

Curso Destacado 1
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Entrust full-cycle implementation of your software product to our experienced BAs,

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Featured Course 1

Curso Destacado 1
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Entrust full-cycle implementation of your software product to our experienced BAs,

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Featured Course 1

Curso Destacado 1
01

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

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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

MicroMaster in Statistics and Data Science, offered by MIT, via edX - Completely in English.
Know the Pandnsum

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.
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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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