Master Of Applied Statistics

Master Of Applied Statistics
Degree: Master In Applied Statistics

Resolution CES: 750542B01-H-0901

Faculty of Natural Sciences and Mathematics

Master Of Applied Statistics

DEGREE: Master In Applied Statistics

Resolution CES: 750542B01-H-0901

OVERVIEW

Statistics is a cutting-edge scientific discipline that has gained considerable relevance in today's data-driven world. It serves as the foundation for emerging fields such as Data Science, Business Intelligence, Big Data, and Statistical Learning—all aimed at enhancing information analysis and empowering strategic decision-making.

In response to these global trends, and with a legacy of excellence dating back to 1995, ESPOL proudly offers a Master’s Program in Applied Statistics. With over 25 years of experience in training high-level professionals, the university remains at the forefront of academic innovation and industry relevance.

This graduate program is designed to equip professionals with the skills to apply advanced statistical techniques and develop robust models required by modern organizations operating in dynamic and competitive environments. The program is delivered by a distinguished faculty, recognized for their academic expertise and extensive professional experience, ensuring a rigorous and impactful learning journey.

Purificacion Galindo
Program Coordinator
Contact: mpgalind@espol.edu.ec

WHY CHOOSE THIS PROGRAM?

We lead the rankings as the top Public Higher Education Institution in the country.

We offer scholarships of up to 25% off the tuition fee.

Certifications: Multivariate Data Analytics, Big Data Analytics, and Machine Learning Analytics.

Hybrid Modality: With in-person or online classes supported by certified laboratories.

Faculty: Professors hold doctoral degrees from institutions in Europe and the USA, with proven exper

APPLICANT PROFILE

The program is aimed at professionals, executives, business leaders, and entrepreneurs who are committed to the development of the country, their organizations, and their careers, and who hold an undergraduate degree.

It is particularly suited for individuals with a quantitative background who either possess or seek to develop a highly analytical profile, grounded in the knowledge and application of statistical techniques as a fundamental science for informed decision-making.

GRADUATE PROFILE

Graduates of the program will be equipped to efficiently collect data, apply decision-making techniques, and effectively communicate results. They will also develop the ability to select and implement appropriate statistical methodologies based on the nature of the data, and to carry out the necessary procedures to ensure data consistency. In the long term, they will be well-prepared to pursue leadership and managerial roles within their professional careers.

INVESTMENT

Download Brochure

Acepto

I consent to the Data Processing Notice

CAPTCHA

This question is for testing whether or not you are a human visitor and to prevent automated spam submissions.

Apply Online

Curriculum

Requirements

For Ecuadorian applicants, an updated ID card. For foreign applicants, a valid ID or passport issued by their country of residence.
For Ecuadorian applicants, an updated voter registration certificate.
Disability card (if applicable).
For applicants who obtained their third-level degree in Ecuador, it must be properly registered with SENESCYT. For applicants who obtained their third-level degree abroad, it must be properly registered with SENESCYT (https://siau.senescyt.gob.ec) or have a certified or legalized copy with consular approval.
Copy of the academic or professional record of the last degree obtained.
Curriculum vitae.
Copy of an academic or professional recommendation.
Motivation letter (Explain your reasons for applying).
Printed or digital copy of local basic amenities services invoice (It confirms your current address).
Take a standardized aptitude test with an english component.

Program Outcomes

* Correctly use the appropriate software to carry out the statistical methodology learned.
* Properly interpret the results obtained from the statistical analyzes performed, using friendly statistical language applied to the subject under study
* Understand the theoretical basis of advanced statistical methods for the analysis of data related to topics of any area of knowledge.
* Apply the knowledge acquired about data analysis techniques in problem solving.

Faculty of Natural Sciences and Mathematics