MINERVA VOICES

A Conversation with Minerva Incoming Graduate Student Jaeyong Han

by Jaeyong Han | Class of 2025 Master in Decision Analysis (MDA)

July 26, 2023

This is part of a series of profiles introducing students from Minerva’s incoming Fall 2023 graduate class. If you would like to learn more about our programs, please visit our website.

“I have always wanted to learn the knowledge of knowledge, or meta-knowledge, how to acquire the right information fast.”

I remember saying this a while ago in a conversation that I had forgotten for a long time after.

In my undergraduate degree, I majored in statistics—the study of categorizing, estimating, and predicting data—which is similar to my dream of studying meta-knowledge. However, just like any other traditional college class, what we did was mostly learning from books and professors, doing math, and solving problem sets. Because of this, I was not able to learn how to actually use most of my statistical knowledge in real life. The problem parameters and instructions were already laid out for me, and I just needed to do the right calculations to solve them.

Unfortunately, the problems we face in real life are not as easy to define in a few sentences as the test questions which were part of the sets I solved at school. Like Albert Einstein famously said on the topic, “If I had an hour to solve a problem, I would spend 55 minutes thinking about the problem and 5 minutes working on the solution.”

This quote illustrates how important it is to define the problem correctly first, rather than jump straight into the solution, the way we are taught to do at university.

Currently, I work as a Business Development Manager at Amazon Web Services (AWS). On a day-to-day basis, I work with internal data, VoC (Voice of Customer), and various analytics reports to define customers’ needs and best present how our services can help address them. I have been a software engineer for most of my career and only recently began working on the business side less than 2 years ago. This meant I had to put in a lot of effort to quickly change from an engineer to a business-minded professional, but I still felt like I was not good enough. This led me to consider enrolling in an MBA (Master of Business Administration) program.

While working on materials for my MBA applications, I began to wonder if this existing discipline could be used properly in situations where uncertainty is common, such as the recent Covid-19 pandemic or war, which are difficult to predict, and if traditional university coursework could help explain various mindsets and trends that are difficult to understand across generations.

After reflecting on this topic, I started to think that the right approach is to “make the best decisions based on the available data” and if I could master this approach, I thought, I could achieve the meta-knowledge I have always wanted to have. That is how I ended up finding out about Minerva’s Master in Decision Analysis (MDA) and why I ultimately chose Minerva, whose methodology will allow me to acquire meta-knowledge and put it to practical use better than other traditional institutions.

I have two goals at Minerva. I want to grow in my current job as a business development manager and become a professional who can quickly find and deliver solutions for customers’ needs by utilizing insights from quickly changing market conditions. I am also looking forward to nurturing a longtime dream of starting my own company. By helping me define the right market through working with data and sharpening my ideas through creative and critical thinking, I am confident my time at Minerva will greatly increase my chances of success.

Quick Facts

Name
Country
Class
Major

Social Sciences & Business

Business & Computational Sciences

Business and Social Sciences

Social Sciences and Business

Computational Sciences & Social Sciences

Computer Science & Arts and Humanities

Business and Computational Sciences

Business and Social Sciences

Natural Sciences

Arts and Humanities

Business, Social Sciences

Business & Arts and Humanities

Computational Sciences

Natural Sciences, Computer Science

Computational Sciences

Arts & Humanities

Computational Sciences, Social Sciences

Computational Sciences

Computational Sciences

Natural Sciences, Social Sciences

Social Sciences, Natural Sciences

Data Science, Statistics

Computational Sciences

Business

Computational Sciences, Data Science

Social Sciences

Natural Sciences

Business, Natural Sciences

Business, Social Sciences

Computational Sciences

Arts & Humanities, Social Sciences

Social Sciences

Computational Sciences, Natural Sciences

Natural Sciences

Computational Sciences, Social Sciences

Business, Social Sciences

Computational Sciences

Natural Sciences, Social Sciences

Social Sciences

Arts & Humanities, Social Sciences

Arts & Humanities, Social Science

Social Sciences, Business

Arts & Humanities

Computational Sciences, Social Science

Natural Sciences, Computer Science

Computational Science, Statistic Natural Sciences

Business & Social Sciences

Computational Science, Social Sciences

Social Sciences and Business

Business

Arts and Humanities

Computational Sciences

Social Sciences

Social Sciences and Computational Sciences

Social Sciences & Computational Sciences

Social Sciences & Arts and Humanities

Computational Science

Minor

Computational Science & Business

Economics

Social Sciences

Concentration

Applied Problem Solving & Computer Science and Artificial Intelligence

Computer Science and Artificial Intelligence & Cognition, Brain, and Behavior

Designing Societies & New Ventures

Strategic Finance & Data Science and Statistics

Brand Management and Designing Societies

Data Science & Economics

Machine Learning

Cells, Organisms, Data Science, Statistics

Arts & Literature and Historical Forces

Artificial Intelligence & Computer Science

Cells and Organisms, Mind and Emotion

Economics, Physics

Managing Operational Complexity and Strategic Finance

Global Development Studies and Brain, Cognition, and Behavior

Scalable Growth, Designing Societies

Business

Drug Discovery Research, Designing and Implementing Policies

Historical Forces, Cognition, Brain, and Behavior

Artificial Intelligence, Psychology

Designing Solutions, Data Science and Statistics

Data Science and Statistic, Theoretical Foundations of Natural Science

Strategic Finance, Politics, Government, and Society

Data Analysis, Cognition

Brand Management

Data Science and Statistics & Economics

Cognitive Science & Economics

Data Science and Statistics and Contemporary Knowledge Discovery

Internship
Higia Technologies
Project Development and Marketing Analyst Intern at VIVITA, a Mistletoe company
Business Development Intern, DoSomething.org
Business Analyst, Clean Energy Associates (CEA)

Conversation

This is part of a series of profiles introducing students from Minerva’s incoming Fall 2023 graduate class. If you would like to learn more about our programs, please visit our website.

“I have always wanted to learn the knowledge of knowledge, or meta-knowledge, how to acquire the right information fast.”

I remember saying this a while ago in a conversation that I had forgotten for a long time after.

In my undergraduate degree, I majored in statistics—the study of categorizing, estimating, and predicting data—which is similar to my dream of studying meta-knowledge. However, just like any other traditional college class, what we did was mostly learning from books and professors, doing math, and solving problem sets. Because of this, I was not able to learn how to actually use most of my statistical knowledge in real life. The problem parameters and instructions were already laid out for me, and I just needed to do the right calculations to solve them.

Unfortunately, the problems we face in real life are not as easy to define in a few sentences as the test questions which were part of the sets I solved at school. Like Albert Einstein famously said on the topic, “If I had an hour to solve a problem, I would spend 55 minutes thinking about the problem and 5 minutes working on the solution.”

This quote illustrates how important it is to define the problem correctly first, rather than jump straight into the solution, the way we are taught to do at university.

Currently, I work as a Business Development Manager at Amazon Web Services (AWS). On a day-to-day basis, I work with internal data, VoC (Voice of Customer), and various analytics reports to define customers’ needs and best present how our services can help address them. I have been a software engineer for most of my career and only recently began working on the business side less than 2 years ago. This meant I had to put in a lot of effort to quickly change from an engineer to a business-minded professional, but I still felt like I was not good enough. This led me to consider enrolling in an MBA (Master of Business Administration) program.

While working on materials for my MBA applications, I began to wonder if this existing discipline could be used properly in situations where uncertainty is common, such as the recent Covid-19 pandemic or war, which are difficult to predict, and if traditional university coursework could help explain various mindsets and trends that are difficult to understand across generations.

After reflecting on this topic, I started to think that the right approach is to “make the best decisions based on the available data” and if I could master this approach, I thought, I could achieve the meta-knowledge I have always wanted to have. That is how I ended up finding out about Minerva’s Master in Decision Analysis (MDA) and why I ultimately chose Minerva, whose methodology will allow me to acquire meta-knowledge and put it to practical use better than other traditional institutions.

I have two goals at Minerva. I want to grow in my current job as a business development manager and become a professional who can quickly find and deliver solutions for customers’ needs by utilizing insights from quickly changing market conditions. I am also looking forward to nurturing a longtime dream of starting my own company. By helping me define the right market through working with data and sharpening my ideas through creative and critical thinking, I am confident my time at Minerva will greatly increase my chances of success.