Online
DEGREE TYPE
Master degree
DURATION
3 semesters
LANGUAGES
Spanish
PACE
Full time
APPLICATION DEADLINE
Request application deadline
EARLIEST START DATE
Request earliest start date
TUITION FEES
USD 3,306 *
STUDY FORMAT
Distance Learning, On-Campus
* tarifa presencial| tarifa virtual: 13720000 COP
Key Summary
Introduction
We are the first Master's Degree in Data Science in Colombia that includes knowledge in advanced MLOps (Machine Learning Operations) tools, an element highly demanded by companies for the construction of cloud-based predictive models.
Why study the Master's Degree in Data Sciences at Ean ?
We are the first Master's Degree in Data Science in Colombia that includes knowledge in advanced MLOps (Machine Learning Operations) tools, an element highly demanded by companies for the construction of cloud-based predictive models.
The master's degree elevates you to data-based decision making, identifies new business opportunities, and proposes solutions based on new technologies such as object recognition in images, natural language processing or the use of generative tools, among others.
In addition, it enhances tools to effectively communicate your data analysis results, using storytelling techniques and taking their visualization to another level.
Razones para estudiar el programa en la Universidad EAN
Since data has become the oil of the 21st century, in this program you will be able to have the sufficient and necessary training to analyze the data that companies and government organizations have using statistical, database or machine learning techniques to obtain the insights and find hidden patterns in that data. Among the reasons you have to study the Master's Degree in Data Science at the Universidad EAN , we have:
- A strong theoretical and practical foundation in areas of statistics and probability, essential in exploratory data analysis.
- First master's degree in Colombia that includes knowledge in advanced MLOps (Machine Learning Operations) tools, an element highly demanded by companies for the construction of cloud-based predictive models.
- A large set of nuclear units is offered, related to Generative Artificial Intelligence (which serves as the basis for the Large Language Model) and its use in the business and academic world.
- The study units that are part of the program are designed with updated content that will allow you to address the challenges of your work environment.
- Study units that also prepare you for the acquisition of certifications in alliance with Microsoft and Amazon (with additional cost).
¿El programa cuenta con certificaciones, dobles titulaciones, entre otros?
Through the alliance of the Universidad EAN with Amazon Web Services (AWS), the student will be able to prepare for free to obtain certification in various products offered by this platform, such as: cloud computing, databases, blockchain , but especially: machine-learning and big data. This through the various electives offered in the program.
Access to the study material for the exam is completely free, however, the costs associated with certification are additional and are assumed independently for each student.
Duracion
- Presencial: 1.5 años (3 semestres)
- Virtual: 1.5 años (3 semestres)
Admissions
Curriculum
Presencial-Virtual
Semestre 1
- Data Science Programming
- Applied Statistical Models
- Machine Learning I
- Electiva I
- Oportunidades para el Emprendimiento Sostenible
Semestre 2
- Gerencia Sostenible
- Storytelling and Data Visualization
- SQL and NoSQL for Data Analysis
- Machine Learning II
Semestre 3
- Project Management in Data Science
- Ethics, Governance and Data Quality
- MLOps and Analytics in the Cloud
- Electiva II
- Seminario de Investigación
- Trabajo de Grado
Program Outcome
What does a graduate of the Master's in Electronic Commerce do and what does he do?
Habilidades
- Perform exploratory data analysis, preprocessing, purification and transformation from the various sources from which they come.
- Create predictive models using machine learning techniques, application of statistical techniques, evaluation of their performance with a view to establishing strategies that impact the organization.
- Strengthen assertive communication with the different stakeholders of the organization using storytelling and visualization of insights for appropriate decision making.
- Ability to lead data science teams, analytics and big data projects that allow strategic improvements in the company's operation and obtain competitive advantages over others.
- Formulate data science projects, based on sustainability principles, with ethical elements and with adequate resources to reach innovative solutions to problems based on data for companies and ventures.
Occupational profile
- Consultant in data sciences for companies at a public or private level.
- Leader of projects involving data sciences.
- Leader in analytics teams in charge of data extraction, transformation, exploration and visualization.
- Consultant in data-based digital transformation, which will provide companies with the elements of competitive advantage that arise from the analysis of data based on artificial intelligence.
- Data scientist, with managerial responsibilities in the development of analytics and data science projects that use machine learning to solve problems based on analytics.