Degree in Digital Business Design and Innovation

In today's world, the digital revolution is transforming the way we communicate and the way we do business. Professionals have to be able to constantly adapt to these changes

Quantitative and Qualitative Analysis

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Description
In the management field conducting research is of vital importance as it allows managers to have first-hand informationto take strategic decisions. Using a user centered approach students will be carrying out research on what is the importance and uses of data, what types of data can be used, how to collect and manage it and finally how to analyse data in order to have a clear picture of reality. This course is designed to increase your awareness on the different methods of data collection, data treatment, analysis and its managerial implications. This course will provide the theoretical methods and practical applicationsof quantitative and qualitative giving students the foundation to manage and balance them both.
Type Subject
Primer - Obligatoria
Semester
First
Course
1
Credits
6.00

Titular Professors

Patricia Lorena Barrera Espinoza

Professors

Patricia Lorena Barrera Espinoza
Previous Knowledge

None

Objectives

To provide a better understanding on what data is and how it aids in making better managerial decisions
To identify when to use quantitative and qualitative methods
To learn the different range of quantitative and qualitative methods
To have a real hands-on experience on how to collect, manage and analyse data

Contents

Class Topics
1. INTRODUCTION
Design thinking
2. RESEARCH CYCLE
Defining and building a strategy
3. RESEARCH PLAN
Project brief
4. INTERVIEWING
Tools and Recording data
Data analysis
5. QUESTIONNAIRES AND SURVEYS
Designing surveys and question structure
Qualitative and Quantitative
6. DATA VISUALIZATION SYNTHESIS AND ANALYSIS
7 COMPETITIVE RESEARCH
8. DOCUMENTATION
Documentation binder
Actionable research

Methodology

The learning experience is based on a range of teaching methods that seek to foster your understanding of quantitative and qualitative data analysis.
The subject is designed to be a practical project-based learning experience
There will be a strong focus on problem solving, iterations, collaboration and presentations skills, and learning from each other
The methodology focuses on the student-centered teaching and learning.
Class contributions (answer professor's questions, engagement in co-construction of new contents and build share understandings, ask relevant questions, constructive feedback to peer contributions)

Evaluation

The course grade will be based on the following point breakdown:
Class Attendance & Participation 10%
Individual and group work assignments 30%
Group midterm assignment 25%
Team final assignment 25%
Master Class Assignments 10%

Evaluation Criteria
Basic Bibliography
Additional Material