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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Certificate issued by UFOP 100% online with live classes 3 cohorts already completed
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 Hours of content
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.

About the Program
360 Hours of content
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

Outstanding Faculty

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

Up-to-Date Methodology

Up-to-Date Methodology

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

Recognized Degree

Recognized Degree

A degree issued by the Federal University of Ouro Preto, adding credibility and value to your academic path.

Learning format

Learning Format

A fully online program that combines live synchronous classes, recorded content, and continuous academic guidance. All materials remain permanently available for review.

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.

Recorded Lessons

Every class is recorded and made available on the platform so you can revisit the material at your own pace.

Permanent Access

Access to course materials remains available even after you complete the specialization.

Federal University of Ouro Preto logo
Issuing institution Federal University of Ouro Preto
Certification

Certificate issued by the Federal University of Ouro Preto

Official lato sensu graduate certificate in Data Science issued directly by the Federal University of Ouro Preto.

Official lato sensu graduate certificate Issued by UFOP, a federal public university Recognized by Brazil's Ministry of Education
Institutional

Institutions and connections

Industry

Partner companies

ICEA
DDL
UFOP
CENIBRA logo
Aperam logo
USIMINAS logo
Faculty

Professors

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

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Prof. Dr. Carlos Ferreira

Data Mining • Complex Networks

Prof. Dr. Carlos Ferreira

Professor with a PhD in Computer Science from UFMG and a dual degree in Electrical Engineering from Politecnico di Torino.

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Prof. Dr. Thiago Silva

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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Prof. Dr. Filipe Ribeiro

Social Computing • Complex Networks

Prof. Dr. Filipe Ribeiro

Associate Professor with a PhD from UFMG and doctoral research experience at the Max Planck Institute.

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Prof. Dr. Alexandre Xavier

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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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.

View the full curriculum
Testimonials

What alumni say

Keila Freitas
Alumna

Keila Freitas

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

Victor Grossi

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

Filipe Carneiro

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

Lucas Cunha

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

Balbino Soares

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.

Frequently asked questions

Main questions about the program

Who can apply?

Applicants with a completed undergraduate degree, preferably in technology, engineering, exact sciences, business, or economics, as well as graduates from other fields who work in these areas or have had contact with programming languages.

How long does the program last?

The program lasts a minimum of 18 months and a maximum of 24 months, counting from the initial enrollment date.

How do the methodology and class format work?

Practical methodology based on project development and real case studies. Classes take place on Wednesday evenings and Saturday mornings in a live format, with all content recorded for later review and direct access to faculty for questions and guidance.

What is the tuition and what payment options are available?

Single payment: BRL 8,100.00

Credit card installments: 12x BRL 700.00 (total BRL 8,400.00)

Bank slip installments: 18x BRL 500.00 (total BRL 9,000.00)

The first installment is due on the day after enrollment. The remaining installments are due on the 10th of each month.

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