Data Science
Specialization
Why choose to train in Data Science?
Data Science Specialization provides tools to the professionals to design, prepare, analyze and manage large volumes of data, both structured and unstructured.
It emphasizes the theoretical fundamentals to allow the graduates with the necessary flexibility to adjust to abrupt technological changes and also in the study of case studies and laboratory practices with commercial software and open source
This specialization is intended for:
Graduates of minimum 4 years courses, from national or international universities, who work in areas that require data analysis.
Modality: In-person
Specialization Duration: 1 year + Comprehensive Final Project
Master’s Duration: 2 years + Thesis
Course days and times: Friday from 5:30 p.m. to 10 p.m. and Saturday from 9 a.m. to 1:30 p.m.
Curriculum
Degree granted: Data Science Specialization
Accredited in session CONEAU N° 424 on July 27, 2015.
Ministerial Resolution N°1753/16
- Module 1: Leveling.
- Module 2: Data Science Fundamentals.
- Module 3: Data Mining
- Module 4: Data Storage and Online Analytical Processing
- Module 5: Big Data Processing Tools
- Module 6: Data visualization.
- Module 7: Machine learning Algorithms and Techniques.
- Module 8: Big Data Transformation and Loading, Design, and Application of Extraction Processes
- Module 9: Geographical and Scientific Data Analysis
- Module 10: Intensive Seminar on Complex Data Advanced Topics
- Module 11: Comprehensive Final Assignment Workshop
- Module 1: Leveling.
- Module 2: Data Science Fundamentals.
- Module 3: Data Mining.
- Module 4: Data Storage and Online Analytical Processing.
- Module 5: Big Data Processing Tools.
- Module 6: Data visualization.
- Module 7: Machine learning Algorithms and Techniques.
- Module 8: Big Data Transformation and Loading, Design, and Application of Extraction Processes
- Module 9: Geographical and Scientific Data Analysis
- Module 10: Intensive Seminar on Complex Data Advanced Topics
- Module 11: Comprehensive Final Assignment Workshop
Maestría en Ciencia de Datos
Título que otorga: Magister en Ciencia de Datos
Acreditada en sesión CONEAU N°566 del 17 de mayo de 2022.
Resolución Ministerial N°160/11.
El plan de estudios de la Maestría incluye los Módulos 1, 2, 3, 4, 5 ,6, 7, 8, 9 y 10 descriptos en el plan de la Especialización e incorpora:
- Taller de Tesis.
- Taller de Tesis II.
- Electiva I – Bases de Datos de Grafos.
- Electiva II – Análisis y Tratamiento de Imágenes Satelitales.
- Electiva III – Implementación de Aplicaciones de Aprendizaje Automático en la Nube.
- Electiva IV – Neurorobótica.
- Tesis de Maestría.
HEAD OF DEPARTMENT
Alejandro Vaisman
Docentes
AIZEMBERG, ARIEL
ARJONES, GUSTAVO
DENICOLAY PACHECO, GUSTAVO
GAMBINI, JULIANA
GÓMEZ, LETICIA
MBA y Licenciado en Ciencias de la Computación São Paulo/Brasil; Chief Technology Officer; Endeavor Entrepreneur. Especialista en Big Data, Machine Learning y DevOps.
MON, ALICIA
PAMPLIEGA, JUAN MARTÍN
RICCILLO, MARCELA
Cuenta con 15 años de experiencia en empresas de diversas industrias llevando a cabo proyectos de consultoría de negocio, tecnología de la información e IA aplicada a negocios.
Agenda
Te invitamos a participar de nuestras actividades
Agenda
Te invitamos a participar de nuestras actividades
Access other postgraduate courses that might interest you
MASTER IN
Management & Analytics
MASTER IN
Sustainable Energy Development
MASTER IN
Strategic and Technological Management
For more information on postgraduate courses please contact us
Contact numbers
Admissions for ITBA Postgraduate courses
(011) 3754 – 4731
