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Pregrado en Analítica de Datos y Mercados
Pregrado en Analítica de Datos y Mercados

Data and market analytics

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DESCRIPCIÓN DEL PROGRAMA

The Data and Market Analytics program aims to develop professionals who are experts in understanding the dynamics, problems, and needs of markets using elements of economic theory, in particular behavioral economics, and statistics. We train professionals in data and market analytics with high-level technical skills to utilize information from social interactions in different contexts and sectors. Professionals will apply their knowledge of data science and econometrics tools to provide solutions, bring new products or lines of business to the market, contribute to business or economic activity forecasting, or to ensure the impact of economic or public policies in the country.

Our academic and professional training has the UR Steam stamp. This is a hallmark of a varied interdisciplinary approach, which is closely linked to the industry through strategic partnerships to enhance learning. The approach is based on the consistent use of labs and real databases, as well as promoting ongoing training and international certifications in data analytics and programming.
 

Program information.

  • SNIES Code: 116057
  • Tuition fees per semester with discount: $13.946.100 COP*
  • * The 30% discount applies to the 8 semesters of the undergraduate program.

    * Tuition fees per semester without discount: $19.923.000

  • No. of semesters: 8
  • 136 academic credits
  • Program name: Data and Market Analytics
  • Type of education: University
  • Education level: Undergraduate
  • Program mode: In-person attendance
  • Qualification awarded: Professional Degree in Data and Market Analytics
  • Program location: Bogotá D.C.
  • Schedule: Daytime
  • Location of classes: Universidad del Rosario campuses in Bogotá, primarily in the Claustro Campus (downtown).
  • Periodicity of admission: Each semester
  • Resolution number with effective term: 9310 of June 6, 2023, effective for 7 years.

WHY  

STUDY

Data and Market Analytics?

PLAN DE ESTUDIOS

The Data and Market Analytics course focuses on three main areas: economic theory, with a focus on behavioral economics; mathematical, statistical and programming skills; coupled with applied and experiential training with a critical and socially committed approach.  

It offers the opportunity to study minors in fields such as economics, finance, data science, economic policy, public policy, actuarial science, behavioral economics and finance, fintech, experience marketing, and more.
 

Download curriculum

Degree track options:

In order to graduate, students may select one of the following options:

Learn about minor studies

The Data and Market Analytics program will have the possibility of the following minor studies:

 

Professional who can work in interdisciplinary areas, who integrates the use of technology and efficiently takes advantage of information. Go deeper into programming.

Subjects:

  • Advanced data analysis
  • Big Data
  • Cloud computing
  • 3 electives in data science

Professional who may work in the public sector or multilateral entities that work closely in the development of social and sectoral policy.

Subjects:

  • Economic development
  • Industrial Organization
  • Impact Assessment
  • Qualitative analysis
  • General economics elective, quantitative elective or programming

Professional who profiles as an economic advisor in public policy institutions or as an economic policy analyst.

Subjects:

  • Macroeconomics III
  • Economy and Public Finance
  • Monetary and Exchange Theory and Policy
  • Theory and Policy of International Trade
  • General elective economics, quantitative elective or programming

Professional who develops mixed tools and methodologies to understand different types of clients. Analyze, understand, propose and intervene in the marketing experience.

Subjects:

  • Marketing Fundamentals
  • Marketing Project
  • Digital Design
  • Customer and consumer purchasing behavior
  • Customer Experience Management (ENG)
  • Consumer insights and data analytics
  • Experience marketing campaigns (ENG)
  • Digital Advertising (Google Ad Words + META)
  • Neuromarketing

Busca formar estudiantes con habilidades para comprender e implementar soluciones financieras basadas en tecnología. Se especializa en herramientas digitales aplicadas a las finanzas, análisis de datos, programación y uso de software especializado en mercados financieros. Está dirigido a quienes desean desempeñarse en sectores financieros innovadores, startups, banca digital, analítica financiera o diseño de productos tecnológicos para servicios financieros.

 

Asignaturas que componen este menor:

Código asignatura

Nombre asignatura

Créditos

Notas a considerar para este menor

65510139

Fintech

3

Obligatoria dentro del menor

65510026

Taller de Bloomberg

3

Obligatoria dentro del menor

65510070

Software Financiero

2

De esta bolsa de asignaturas el estudiante debe seleccionar 3 cursos para completar 6 créditos

13210151

Curso Básico R

2

13210119

Curso Básico Stata

2

14910055

The Data Economy: Tools and Applications (Summer School 2025)

2

14910056

Economía digital (Summer School 2025)

2

10810002

Contabilidad para la Toma de Decisiones

3

De esta bolsa de asignaturas el estudiante debe seleccionar 2 cursos para completar 6 créditos

65520001

Matemáticas Financieras

3

65520003

Renta Fija

3

65520006

Renta Variable

3

11320002

Arquitectura del Computador

3

65520005

Optimización para Finanzas

3

65510132

Economia Financiera

3

Por definir

Machine Learning y Datos Satelitales para Economía Ambiental

3

 Dentro de las asignaturas enunciadas los estudiantes tendrán que completar 18 créditos, tal y como se enuncia en las notas de la tabla.

Busca brindar las bases conceptuales y técnicas necesarias para el análisis de datos en contextos interdisciplinarios. Se especializa en programación, manejo de bases de datos y uso de herramientas tecnológicas para transformar información en conocimiento útil. Está dirigido a estudiantes interesados en aplicar la ciencia de datos en campos como la economía, las finanzas, el marketing, la política pública o la investigación social.

 

Asignaturas que componen este menor:

Código asignatura

Nombre asignatura

Créditos

11310014

Teoría de Grafos

3

11320007

Redes de Computadores

3

11320017

Computación en la Nube

3

11320016

Big Data

3

11320015

Análisis Avanzado de Datos

3

11320031

Introducción al Procesamiento de Lenguaje Natural

3

Busca formar estudiantes con herramientas para analizar, comprender e intervenir estratégicamente en la experiencia del cliente. Se especializa en metodologías mixtas, comportamiento del consumidor y diseño de experiencias centradas en el usuario. Está dirigido a quienes desean trabajar en áreas de marketing, innovación, estrategia comercial o desarrollo de productos con foco en la experiencia del cliente.

 

Asignaturas que componen este menor:

Código asignatura

Nombre asignatura

Créditos

10810003

Marketing

3

10810010

Market Research

2

15210033

Comportamiento de Compra del Cliente y Consumidor

2

15210182

Customer Experience Management (Eng)

2

16920049

Insights del Consumidor y Analítica de Datos

2

16920052

Experience Marketing Campaigns (Eng)

2

16910076

Neuromarketing

2

16920051

Diseño Digital

2

16920053

Publicidad Digital

2

  • La oferta de asignaturas puede variar en cada semestre y su apertura estará sujeta al número de estudiantes inscritos.
  • El estudiante deberá cumplir con los prerrequisitos establecidos para cada curso.
  • De las asignaturas listadas en cada menor, el estudiante deberá seleccionar aquellas que le permitan completar los 18 créditos exigidos para obtener el menor.

Opciones

DE GRADO

Para graduarse, el estudiante puede elegir una de las siguientes opciones:

Trabajo de grado: estudio de un problema aplicado o de investigación

Emprendimiento: creación de un modelo de negocio de una iniciativa de tipo empresarial o social. Esta ruta se hace en conjunto con el Centro de Emprendimiento de la Universidad del Rosario.
 
Pasantía: exposición al mundo laboral a través de una práctica en una institución nacional o internacional del orden público o privado.

Coterminal: cursar y aprobar un conjunto de asignaturas ofrecidas por los programas de maestría de la Universidad del Rosario. 
 

periodismo-ocu

Prospective

student profile

Applicants to the Data and Market Analytics program should have a strong interest in understanding the interactions between individuals, businesses, and institutions in the economic and financial spheres, and their impact on well-being and individual and social decision-making processes. An interest in mathematics, information (data) analysis, and computer programming will be useful for understanding phenomena that may arise in the markets and finding correlations, associations and interrelationships between sectors in the data to make informed decisions.

periodismo-ing

Graduate

profile

Graduates in Data and Market Analytics are ethical professionals, with a commitment to service, and with solid technical, computational, quantitative, and critical thinking skills. These competencies allow them to contribute to the design, analysis, and evaluation of public policies and new lines of business.  

They will be equipped to: 1) Make decisions to help public or private organizations adapt to market dynamics; 2) Understand the intentions of consumers and suppliers and analyze projections for specific markets; 3) Use cutting-edge statistical and econometric techniques; 4) Conduct analyses of consumers/individuals/companies based on behavioral economics.  

Graduates will also have the opportunity to continue their postgraduate education in fields such as economics, finance, statistics, mathematics, marketing, and engineering. 

Perfil

Occupational

profile

We train professionals with solid technical, computational, quantitative, and critical thinking skills that allow them to contribute to the design, analysis, and evaluation of public and business policies. They are able to give recommendations or make decisions that enable public or private entities to adapt to the dynamics of the diverse markets in which they operate. In addition to being trained in the elements of economic theory, graduates will have the technical knowledge to understand the intentions of consumers and suppliers, as well as growth projections for specific markets. These tools include the use of cutting-edge statistical and econometric techniques, including the handling of large or rapidly changing databases, as well as the use of consumer/individual/company analysis tools based on the theoretical foundation of behavioral economics.  

Data and Market Analytics graduates are equipped to work in:  

  • Companies that handle considerable volumes of data as part of their business operations
  • Companies operating in highly dynamic markets in uncertain conditions
  • Entities whose mission involves analyzing administrative data to inform public policy decisions
  • Technology, insurance, financial sector, public service, and multinational companies. In these sectors, professionals will be able to lead and work in analytics teams, market analysis, and the general management of organizations.

OUR

Learning Spaces

We have state-of-the-art labs for teaching and research, as well as spaces designed for experimentation and project development.   

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Data Center
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Gov Lab
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TicTank
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REBEL Lab
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Finance Lab
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Big Data Lab

PROFESSORS

The professors in the Shool of Economics will be your guides and mentors throughout your educational journey. They are all part of an international academic and research network spanning different fields, which supports teaching and promotes high-quality and relevant scientific research.

Thirty-one percent of our teachers are from abroad, including from Germany, Argentina, Ecuador, Spain, Guatemala, Turkey, and Peru. All full-time professors in the School hold a PhD, and teaching professors have either a master's degree or a PhD, along with industry experience, ensuring a high-quality and high-level education.

Meet our team - School of Engineering, Science, and Technology
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