UNDERGRADUATE
Data Science Engineering
ABOUT THE
Program
Data Science Engineering focuses on the study of data management and analysis systems for large volumes of data. These large data volumes have specific characteristics related to their size, speed, variety, and variability. Data management systems, known as data engineering, involve the design, development, implementation, and maintenance of processes to capture and process raw data, ultimately producing high-quality and reliable information. This information is then used by data analysis systems to make decisions, formulate improvement strategies, and more. Data analysis systems, known as data science, encompass the design, development, and maintenance of mathematical models, statistical methods, modern computational tools, and artificial intelligence to extract information and knowledge from data.
Bucaramanga, Santander: SNIES 117201 | Qualified Registry: Resolution of the Ministry of National Education (MEN) No. 012737 of July 31, validity for 7 years (More information, see PDF)
DEGREE:
Data Science Engineer
DURATION:
8 semesters
MODALITY:
In-person
CAMPUS:
Floridablanca
APPLICANT
Profile
.
The Data Science Engineering program is open to all high school graduates in Colombia or their equivalent abroad, with no additional requirements for specific skills or aptitudes. The program is aimed at autonomous, responsible, and ethical individuals who possess skills in using technology and understanding mathematics. It is also intended for those with the ability to learn and work both in groups and independently, as well as those who demonstrate an interest in acquiring English language skills and competencies.
GRADUATE
Profile
.
A Data Science Engineer from UIS is a skilled professional capable of designing, developing, and maintaining data management and analysis systems for large volumes of data. They utilize appropriate computational infrastructure and technology to support decision-making and develop improvement strategies within organizations. This engineer is proficient in identifying problems throughout the data lifecycle, taking into account both requirements and constraints. They are committed to continuous learning, participate in and lead multidisciplinary teams, and uphold ethical responsibility, excellence, and social awareness in their professional endeavors.
ACADEMIC
Curriculum
.
Code: 40935 Credits: 4 – Calculus of Functions in one Variable
Code: 40936 Credits: 3 – Introduction to Linear Algebra
Code: 41330 Credits: 3 – Engineering Chemistry
Code: 41331 Credits: 3 – Introduction to Data Science Engineering
Code: 29205 Credits: 1 – Cátedra UIS
Code: 41095 Credits: 2 – Foreign Language I: English
.
Code: 40939 Credits: 3 – Calculus of Functions in Several Variables
Code: 41332 Credits: 3 – Linear Algebra in General Vector Spaces
Code: 40940 Credits: 3 – Mechanics
Code: 41333 Credits: 3 – Algorithms and Programming
Code: 41334 Credits: 2 – Discrete Mathematics
Code: 41096 Credits: 2 – Foreign Language II: English
.
Code: 41018 Credits: 3 – Differential Equations
Code: 41019 Credits: 2 – Mechanics Laboratory
Code: 41335 Credits: 3 – Distributed Systems
Code: 41336 Credits: 3 – Data Structures
Code: 41337 Credits: 3 – Descriptive Statistics and Probability
Code: 41097 Credits: 2 – Foreign Language III: English
.
Code: 41338 Credits: 3 – Numerical Methods and Optimization
Code: 41339 Credits: 2 – Visualization and Data Representation
Code: 41340 Credits: 3 – Object Oriented Programming
Code: 41341 Credits: 3 – Machine learning
Code: 41342 Credits: 3 – Inferential Statistics
Code: 41098 Credits: 2 – Foreign Language IV: English
.
Code: 41343 Credits: 3 – Project Management
Code: 41344 Credits: 3 – Big Data
Code: 41345 Credits: 3 – Relational Data Bases
Code: 41346 Credits: 3 – Deep Learning
Code: 41347 Credits: 3 – Bayesian Inference Methods
.
Code: 41348 Credits: 4 – Engineering Design I
Code: 41349 Credits: 3 – IT Infrastructure for Data Engineering
Code: 41350 Credits: 3 – Non-Relational Databases
Code: 41351 Credits: 3 – Unsupervised learning
Code: 41352 Credits: 3 – Simulation Fundamentals
.
Code: 41353 Credits: 3 – Software Engineering
Code: 41354 Credits: 3 – Data Security and Data Governance
Code: 00000 Credits: 3 – Disciplinary Elective I
Code: 00000 Credits: 3 – Disciplinary Elective II
Code: 00000 Credits: 3 – Transdisciplinary Elective II
.
Code: 41356 Credits: 3 – Business Intelligence
Code: 41355 Credits: 4 – Engineering Design II
Code: 00000 Credits: 3 – Disciplinary Elective III
Code: 00000 Credits: 3 – Integral Training Elective I
Code: 00000 Credits: 3 – Integral Training Elective II
.
Time series and natural language processing
Code: 00000 Credits: 3 – Time Data Representation
Code: 00000 Credits: 3 – Reinforcement learning
Code: 00000 Credits: 3 – Natural Language Processing
Computer Vision
Code: 00000 Credits: 3 – Image Processing and Analysis
Code: 00000 Credits: 3 – Computer Vision
Code: 00000 Credits: 3 – Visual information interpretation and generalization
Scalable architectures for data analytics
Code: 00000 Credits: 3 – IoT architectures on Big Data
Code: 00000 Credits: 3 – Big Data Architectures
Code: 00000 Credits: 3 – Data Intensive Application Development Practices
Code: 00000 Credits: 3 – Data Management and Interoperability
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Floridablanca
OUR
Faculty
RESERCH Groups and
Hotbedsy
Do you want more information?
Contact Us
School of Systems Engineering and Informatics
Telephone: +57 (607) 634 4000
Extension: 2342
E-mail: escsist@uis.edu.co
UIS Central Campus
Bucaramanga, Santander
Carrera 27 calle 9
Laboratorios Pesados Building, office 339
Office hours:
Monday to Friday
7:00 a.m. – 12:00 m.
2:00 p.m. – 5:00 p.m.