Statistics

oThe Statistics program aims to train highly skilled professionals in data processing and analysis to solve complex problems in various fields of knowledge. A strong scientific foundation is essential for success in this field and for providing effective solutions to multidisciplinary issues. We offer opportunities for participation in research projects and collaboration with the industry. Our primary mission is to educate excellent statistical engineers who can contribute to improving the world we live in. Our faculty is highly qualified with research and practical application experiences. Explore the power of numbers, pattern interpretation, and informed decision-making. Join us on this exciting journey into the world of Statistics!

oThe Statistics program is designed for individuals who are critical, analytical, reflective, and passionate about numbers, logic, and problem-solving. You should have a predisposition to work in computer and programming environments.

• Analytical Skills: The ability to break down complex problems, identify patterns, and derive logical conclusions from data.
• Interest in Research: A desire to explore, analyze, and understand phenomena through statistical research.
• Mathematical Proficiency: This is essential for tackling the analytical challenges of statistics.
• Effective Communication: The ability to translate statistical results into understandable terms for those who are not experts in the field.
• Critical Thinking: The ability to question, evaluate, and improve statistical approaches, contributing to the continuous development of the discipline.
• Technological Curiosity: Interest and willingness to work with advanced tools and technologies for data analysis.

If you consider yourself a curious, analytical, and passionate individual who enjoys uncovering stories behind the numbers, Statistics could be your ideal path!

http://www.admision.espol.edu.ec/proceso-de-admision/postulacion 

https://www.bienestar.espol.edu.ec/becas-y-ayudas-economicas 

Educational Objectives:

1. To carry out analysis, research, and consulting activities in areas such as Quality, Industry, Market Research, Insurance, Data Mining, Survey and Census Design, Biology, Medicine, Environment, among others.
2. To hold positions in public or private companies in line with the ethical principles and leadership advocated by ESPOL University.
3. To prepare students for a fourth-level program where they can engage in scientific research using their statistical knowledge.
4. To be a key part of multidisciplinary research and development teams at the forefront of their fields of action.

Learning Outcomes:

1. The ability to identify, formulate, and solve broadly defined technical or scientific problems using knowledge of mathematics for reliable data-driven decision-making.
2. The ability to formulate or design a system, process, or procedure for representing phenomena and making informed decisions.
3. The ability to develop and conduct experiments, test hypotheses, analyze and interpret data, and use scientific judgment to draw conclusions.
4a. The ability to communicate effectively with a variety of audiences.
4b. The ability to communicate effectively with a variety of audiences in English.
5. The ability to understand ethical and professional responsibilities and the impact of technical or scientific solutions in global, economic, environmental, and social contexts.
6. The ability to function effectively in teams that set goals, plan tasks, meet deadlines, and analyze risks and uncertainties.

http://www.mallacurricular.espol.edu.ec/Malla/Imagen?codCarrera=CI008&lang=en&lang=en 

Upon completing the four years of the Statistics Engineering program at the Faculty of Natural Sciences and Mathematics, graduates possess a strong and versatile professional profile. We are committed to developing professionals capable of tackling complex challenges with advanced statistical skills. Here is the professional profile you can achieve:
1. Data Analysis Expertise: Mastery in using statistical tools and specialized software to analyze complex data sets and extract valuable insights.
2. Informed Decision-Making: The ability to provide evidence-based guidance through the interpretation and effective communication of statistical results.
3. Statistical Modeling: The skill to develop and apply advanced statistical models to predict trends, identify patterns, and support strategic decision-making.
4. Applied Research: Experience in applying statistical methodologies in research projects, contributing to the advancement of knowledge in various fields.
5. Communication: The ability to communicate findings clearly and comprehensibly to both technical and non-technical audiences, facilitating interdisciplinary collaboration.
6. Business Problem Solving: Application of statistical approaches to solve business problems and improve processes, optimizing efficiency and decision-making.
7. Ethics and Professional Responsibility: Commitment to ethical standards in data collection, analysis, and presentation, ensuring integrity at all stages of the process.
8. Interdisciplinary Collaboration: The ability to work in multidisciplinary teams, bringing valuable statistical insights to projects in various application areas.
Upon graduation, you will be prepared to tackle analytical challenges in any industry and make a significant contribution to the development and advancement of statistics and applied research. Get ready for an exciting and highly promising career!

Occupational Profile

The Statistician Engineer is qualified to design and lead data acquisition processes, analyze and interpret qualitative and quantitative information in small or large volumes, using statistical models that enable decision-making under conditions of uncertainty in various fields of social, scientific, and productive activities. They collaborate with multidisciplinary research and development teams in designing experiments and analyzing their results.
In an increasingly data-driven world, the ability to translate information into meaningful knowledge that can be utilized by companies and organizations is one of the most valuable skills that a Statistician Engineer possesses.

Some common positions include:
-Data analyst
-Data scientist
-Actuary
-Financial risk specialist
-Investment analyst
-Business intelligence specialist
-Market researcher

Some of the organizations and industries that frequently seek Statistician Engineers are involved in:
-Engineering
-Finance
-Insurance
-Public health
-Marketing
-Education
-Medicine
-Artificial intelligence
-Agriculture

To obtain the title of Statistics Engineer, the following requirements must be met:

• Having passed a minimum of 43 credits in Professional Formation. 
• Having passed a minimum of 54 credits in Basic Formation. 
• Having passed a minimum of 2 credits in Complementary Formation. 
• Having passed a minimum of 6 credits in Itinerary Formation. 
• Completion of a minimum of 336 hours of pre-professional practice, divided into 96 hours of community practice and 240 hours of pre-professional practice in the industry. 
• Approval of the graduation process, equivalent to 8 credits. 

The Capstone Project is a culminating requirement for graduation. These projects provide students with the experience of applying acquired knowledge and skills to the needs of society, with a focus on sustainability.
The IDEAR Fair showcases all Capstone projects, offering students a valuable opportunity to showcase their work and hone soft skills such as communication and teamwork. It is also a space for students to network with potential clients and future employers.
Explore all of the Capstone projects completed by the Statistics program.