Data Science Engineering Program – In-person

Study Data Science Engineering at UCV and prepare to solve the challenges of a data-driven world. Develop expertise in big data analytics, artificial intelligence, machine learning, and data modeling to transform information into strategic insights and optimize decision-making across industries.

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Modalities

In-person

Duration

10 academic cycles

Modality

In-person

Grade

Bachelor of Engineering in Data Sciences

Professional title

Data Science Engineer

Admission Exam:
July 19

Cycle I

Logical Thinking
Communication Skills
Sustainable Development Goals
Fundamentals in Data Sciences
English I

Cycle II

Climate Change and Risk Management
Algorithms and Programming
Vallejo Chair
Graphic expression
English II

Cycle III

Creativity and Innovation
Cloud Computing
Mathematics for Engineering
Statistics and Data Analysis
English III

Cycle IV

Scientific Research Methodology
Integral Calculus and Differential Equations
General Physics
Object Oriented Programming
English IV

Cycle V

Accessibility and Universal Design
Constitution and Human Rights
Data and Information Management
Linear Algebra
English V

Cycle VI

Machine Learning
Government with Data
Bases for Data Science
Elective Curricular Experience
English VI

Cycle VII

Storytelling with Data
Deep Learning
Corporate Finance
Philosophy and Ethics
English VII

Cycle VIII

Business Intelligence
Data Ethics
Elective Curricular Experience
Project management
English VIII

Cycle IX

Research Work I
Preprofessional Practice I
English IX

Cycle X

Research Work II
Preprofessional Practice II
English X

Why study Data Sciences at UCV?

Studying Data Science Engineering at UCV provides you with the skills and tools needed to become a leader in data analysis and evidence-based decision-making. UCV stands out among universities offering Data Science Engineering due to its practical approach and cutting-edge technology.

You will learn to work with industry-leading programming languages and analytical tools such as Python, R, and SQL, while gaining hands-on experience through specialized laboratories and simulation environments that prepare you to solve real-world challenges across multiple sectors.

This program is for you if you:

Are passionate about solving complex problems through data analysis and statistics.
Have strong critical-thinking and analytical skills, with a data-driven mindset.
Are committed to continuous learning and interested in global technological and economic challenge

Do you need help starting your university path?

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Graduate profile

What a Data Science Engineer Can Do

ANALYZE AND PROCESS DATA FOR DECISION-MAKING:

Apply statistical methods and artificial intelligence techniques to interpret data and generate valuable insights for organizations.

OPTIMIZE OPERATIONS THROUGH ADVANCED DATA ANALYSIS:

Use data modeling and analytical tools to improve organizational performance, efficiency, and productivity.

DESIGN INNOVATIVE MODELS AND SYSTEMS:

Develop high-value solutions that facilitate information management, data governance, and intelligent decision-making.

Where You Can Work

WORK AS A PROJECT MANAGER IN:

- Data analytics projects for public and private sector organizations
- Technology, innovation, and data-driven companies

ALSO AS AN INDEPENDENT PROFESSIONAL IN:

- Data science consulting across multiple industries
- Strategic planning and data analytics
- Data analysis and expert evaluation services
- Project management in government institutions and international organizations
- Big Data and predictive analytics advisory services

Career Opportunities

As a Data Science Engineering graduate, you can pursue careers in a wide range of fields related to data management and evidence-based decision-making, including:

- Data Analyst in technology companies and consulting firms
- Business Intelligence and Predictive Analytics Consultant
- Big Data Project Manager in finance, telecommunications, and other industries
- Machine Learning and Artificial Intelligence Solutions Developer
- Researcher in academic institutions and international organizations
- Data Strategy and Analytics Manager in public and private sector organizations

Elective Academic Experiences

Strengthen your professional profile with specialized courses in key areas of data science:

- Big Data Analytics
- Machine Learning
- Business Intelligence
- Cloud Computing
- Corporate Finance
- Data Storytelling

UCV Benefits

Studying Data Science Engineering at UCV provides unique advantages that support your professional growth:

- Immediate Degree System (STI): Earn your professional degree upon graduation without administrative delays.
- RENACYT Faculty and Big Data Experts: Learn from experienced researchers and professionals specializing in advanced analytics and emerging technologies.
- Advanced Simulation Tools: Access resources such as Business Simulators and Bloomberg Data Analyst platforms to work with real-world datasets and market scenarios.
- Technical English Training: Complete more than 640 hours of English instruction and obtain internationally recognized Cambridge and Michigan certifications.
- Professional Internships: Gain practical experience in technology companies and data-driven organizations, applying your knowledge in real business environments.