Federal University of Ouro Preto

Data Science Specialization

A 360-hour lato sensu graduate program in Data Science offered by the Federal University of Ouro Preto. New cohorts are now open for the next academic term.

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Earn a UFOP certificate 100% online with live classes 3 completed cohorts + 1 open now

Official lato sensu graduate degree

From conceptual foundations to applied Data Science projects.

A UFOP graduate program with PhD faculty, a progressive learning journey, and emphasis on real-world applications.

360 Workload

60+ applied projects developed for major companies

5 Specialized modules

PhD faculty with academic and applied experience
Progressive journey from fundamentals to practice
Supervised projects with market relevance

About the program

About the Program

UFOP’s Data Science Specialization was designed to prepare professionals who can turn data into decisions, predictive models, and high-impact solutions for public and private organizations.

The program offers a complete 360-hour experience that connects statistics, computing, optimization, and decision-making.

It was built to help professionals tackle complex challenges and support intelligent decisions across multiple sectors of the economy.

Develop supervised projects and receive personalized guidance throughout the creation of your final monograph.

360 Workload

60+ applied projects developed for major companies

5 Specialized modules

Target Audience

Graduates in fields such as Computing, Engineering, Statistics, Business, and related areas who want to build Data Science skills for use in their professional context.

Outstanding Faculty

Faculty made up of PhD professors with extensive academic and practical experience in Data Science.

Up-to-Date Methodology

A learning approach centered on current content aligned with real market demands.

UFOP Academic Path

Add a UFOP qualification to your professional journey.

Learning format

Learning Format

A fully online program that combines live synchronous classes, recorded content, and continuous academic guidance. Live classes may be recorded and made available in the program's virtual environment for consultation and review by students, in accordance with UFOP's academic and administrative rules.

100% Online

Study from anywhere in Brazil without the need to travel.

Live Classes

Live sessions with faculty for discussion, questions, and deeper exploration of the content in real time.

Study with flexibility

Wherever you want, whenever you want.

Official UFOP offering

A 100% UFOP-delivered lato sensu specialization aligned with MEC guidelines.

Institutional

Institutions and connections

Industry

Client companies

Faculty

Professors

Meet the team responsible for the classes, supervision, and applied work in UFOP's Data Science Specialization.

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Predictive Models • Supervised Learning

Prof. Dr. Carlos Ferreira

PhD in Computer Science from UFMG, with a dual degree from Politecnico di Torino and work focused on predictive models.

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Operations Research • Machine Learning

Prof. Dr. Thiago Silva

PhD in Production Engineering from UFMG with doctoral studies at the University of Stirling.

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Metaheuristics • Machine Scheduling

Prof. Dr. Matheus Haddad

Assistant Professor with postdoctoral studies at Université Le Havre Normandie.

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Social Computing • Data Mining

Prof. Dr. Filipe Nunes Ribeiro

PhD in Computer Science from UFMG, with research experience at the Max Planck Institute and work in social computing and data mining.

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Industry 4.0 • Digital Production Management

Prof. Dr. Sérgio Evangelista Silva

Professor and researcher in Production Management, focused on Industry 4.0 and data-driven strategies.

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Data Science • Predictive Analytics

Profª. Drª. Janniele Soares

PhD in Computer Science working in Data Science, optimization, and predictive analytics for complex problem-solving.

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Data Mining • Social Media Analysis

Profª. Drª. Helen de Cássia Lima

PhD in Computer Science with experience in NLP and data mining.

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Operations Research • Optimization

Prof. Dr. Alexandre Xavier

PhD in Electrical Engineering from UFMG, with postdoctoral studies at the Université de Technologie de Troyes.

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Data Science • Machine Learning

Prof. Dr. Alexandre Sousa

PhD in Computer Science from UFMG, specialized in machine learning and social media analysis.

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Operations Research • Optimization

Prof. Dr. Paganini Barcellos

PhD in Production Engineering from UFMG, with work in optimization, algorithms, and Data Science for Industry 4.0.

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Curriculum

Five modules that take you from fundamentals to applied work

The modules were organized to build a coherent learning path, from conceptual foundations to applied Data Science projects.

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Module 1 75h

Introduction to Data Science and Applications

Data Science fundamentals, Industry 4.0, Python programming, and information retrieval from the web and social networks.

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Module 2 45h

Descriptive Data Analysis

Descriptive statistics, visualization, dimensionality reduction, and unsupervised learning.

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Module 3 105h

Predictive Models

Supervised learning, neural networks, ensemble methods, and natural language processing.

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Module 4 60h

Prescriptive Methods

Decision theory, combinatorial optimization, and reinforcement learning.

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Module 5 75h

Methodological Support and Application

Scientific methodology, technical standards, and development of the applied Data Science project.

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Testimonials

What our students say

Keila Freitas

Alumna Class 1

Mid-Level Information Technology Analyst, Usiminas

Taking UFOP’s Data Science specialization was an enriching experience. The program provided solid depth in optimization and predictive analytics, allowing me to apply knowledge directly. Classes were practical and based on everyday examples, making learning dynamic and effective. The specialization broadened my analytical perspective and improved my ability to make data-driven decisions.

Victor Grossi

Alumnus Class 1

Process Analyst, Bracell

The program was very engaging because, even with limited IT experience, it broadened my view of the importance of data processing in organizational development. A major highlight was understanding the importance of proper data collection and organization, enabling more accurate analyses and valuable insights for strategic decision-making.

Filipe Carneiro

Alumnus Class 1

Senior Forestry Analyst, Celulose Nipo-Brasileira S/A (CENIBRA)

The specialization gave me a deep understanding of the importance of data within organizations, enabling me to use it in analyses and complex tasks such as prediction and optimization. The differentiator was the practical approach with real examples from the company where I work. The encouragement from the professors was essential to my acceptance into a master’s program.

Lucas Cunha

Alumnus Class 1

Business Intelligence Analyst, Aperam South America

The specialization provided solid learning that was directly applicable to industry, combining theory and practice exceptionally well. The program allowed me to develop advanced analytical skills and apply them directly to optimize processes and improve data-driven decision-making.

Balbino Soares

Alumnus Class 1

Specialist Manager, Deloitte

I recently completed the program and noticed the care that faculty and coordination put into every detail. The subjects offer a solid foundation in databases, statistics, artificial intelligence, classification, regression, and simulation. The professors, all with PhDs, ensure excellence in the content. The program enabled me to apply machine learning techniques in several professional projects.