MBA in Data Journalism: your future is also in data!

Programming, data and journalism in a course to train journalists with a data-oriented mindset.

ACCESS THE COURSE PROGRAM
let me know
  • Confirmed class*

Discover our course curriculum

The MBA in Data Journalism is a cutting-edge course focused on developing programming, applicability and design knowledge through practical, research-based learning in journalism, data science, coding and digital development.

BECOME A DATA-DRIVEN JOURNALIST.

Course to improve knowledge in digital marketing, with doses of statistics, behavioral economics, definition and management of metrics, management tools and software, in addition to several practical cases.

YOU WILL LEARN ABOUT

• Data Driven Culture: pros and cons

• Digital marketing metrics
• Biases and decision-making process
• Data-based project generation and management tools
• Basic concepts in statistics
• Practical application of Data Driven Digital Marketing

DURATION

4 semesters

PERIOD

Friday (7pm-10pm) 

Saturday (09h-12h | 13h-16h) 

Start of classes in the 2nd Semester of 2023

Classes on alternate weekends

INVESTMENT

from R$ 1,250.00/month

FULL CHARGE

440 hours

FORMAT

100% EAD

MODULE 01

01

MODULE 02

01

MODULE 03

01

MODULE 04

01

MODULE 05

01

1. Leveling in DDJ

  • What is data journalism
  • Introduction to Data Analysis
  • Basic tools for everyday life

2. Methodology and Data Workflow

  • Precision journalism
  • Data workflow
  • Good documentation practices

3. Low Code: transforming data into guidelines without programming

  • Agendas with database
  • Spreadsheet manipulation
  • Auxiliary tools for investigating and crossing information

4. Introduction to SQL

  • Introduction to databases
  • Queries with SQL
  • Interviewing databases

1. Statistic

  • Probability notions
  • Inference notions
  • Descriptive statistics

2. Introduction to Computing with Python

  • Programming logic
  • Introduction to Python
  • APIs

3. Data journalism with Python I

  • Programmatic data capture
  • Introduction to scraping libraries
  • APIs

4. Python for data journalism

  • What is the Internet
  • Introduction to HTML and CSS
  • Web scraping (selenium)

4. Data journalism with Python II

  • CSV manipulation
  • Introduction to Pandas
  • Statistics with Python

1. Artificial intelligence

  • Introduction to Artificial Intelligence

  • AI Applications in Journalism

  • Machine Learning and Algorithms

  • Natural Language Processing (NLP)

  • Ethics and Social Implications of AI

2. OSINT and fact-checking

  • OSINT and fact-checking techniques

3. Mapping Networks

  • Data scraping with social networks
  • Introduction to graphs

4. Project management

  • Advanced Mathematics and Statistics
  • Supervised Models
  • Unsupervised
  • Principal Component Analysis
  • Deep Learning

5. Data journalism and entrepreneurship

6. Storytelling: writing with data

1. Right to Know and LGPD

  • History and use of the Access to Information Law
  • Open data and government transparency
  • Transparency in journalism
  • GDPR

2. Design and Visualization I

  • Fundamentals, criticism and redesign
  • Information design and visual perception
  • Data coding

3. Design and Visualization II

  • Matplolib and Seaborn
  • Adobe Illustrator
  • GIS/QGIS
  • Flourish and D3

3. Design and Visualization II

  • Tools for investigation and communication
  • Prototyping (HTML, JS and CSS)
  • Introduction to Matplotlib and Plotly

1. Storytelling: writing with data

  • Creating narratives with data
  • Data to inform, entertain and connect

2. Project Management

  • Agile methodologies for Journalism (Scrum and Kanban)
  • Use of digital tools (Trello, Asana, Todoist)

3. Entrepreneurship and Innovation

  • Ideation of projects for journalistic innovation
  • Fundraising strategies (announcements, financiers, etc.)
ACCESS THE ACADEMIC CALENDAR

Our course curriculum

The MBA in Data Journalism is a cutting-edge course focused on developing programming, applicability and design knowledge through practical, research-based learning in journalism, data science, coding and digital development.

1. Leveling in DDJ

  • What is data journalism
  • Introduction to Data Analysis
  • Basic tools for everyday life

2. Methodology and Data Workflow

  • Precision journalism
  • Data workflow
  • Good documentation practices
 

3. Low Code: transforming data into guidelines without programming

  • Agendas with database
  • Spreadsheet manipulation
  • Auxiliary tools for investigating and crossing information

4.  Introduction to SQL

  • Introduction to databases
  • Queries with SQL
  • Interviewing databases

1. Statistic

  • Probability notions
  • Inference notions
  • Descriptive statistics

2. Introduction to Computing with Python

  • Programming logic
  • Introduction to Python
  • APIs

3. Data journalism with Python I

  • Programmatic data capture
  • Introduction to scraping libraries
  • APIs

4. Data journalism with Python II

  • CSV manipulation
  • Introduction to Pandas
  • Statistics with Python
1. OSINT and fact-checking
  • OSINT and fact-checking techniques

2. Mapping Networks

  • Data scraping with social networks
  • Introduction to graphs

1. Right to Know and LGPD

  • History and use of the Access to Information Law
  • Open data and government transparency
  • Transparency in journalism
  • GDPR

2. Design and Visualization I

  • Fundamentals, criticism and redesign
  • Information design and visual perception
  • Data coding

3. Design and Visualization II

  • Tools for investigation and communication
  • Prototyping (HTML, JS and CSS)
  • Introduction to Matplotlib and Plotly

1. Storytelling: writing with data

  • Creating narratives with data
  • Data to inform, entertain and connect

2. Project Management

  • Agile methodologies for Journalism (Scrum and Kanban)
  • Use of digital tools (Trello, Asana, Todoist)

3. Entrepreneurship and Innovation

  • Ideation of projects for journalistic innovation
  • Fundraising strategies (announcements, financiers, etc.)

Additionally, we have tutors available at various times of the day to answer questions and help with whatever you need.

ACCESS THE ACADEMIC CALENDAR

Professional Certifications

Our course gives you 2 different certifications in just 2 years and makes you a protagonist in this area.

Data Analyst

Certification in 1 year

Data Engineer

Certification in 1 year

ML Engineer

Certification in 1 year

Data Scientist

Certification in 1 year

Programming in Data Journalism

Certification halfway through the course

Data Journalist

Full certification

Learn from those who are a reference.

The team behind your course has experts in technology and education so that you have the best pedagogical support throughout your journey here!

Sergio Spagnuolo

Journalist and editor of Núcleo. Creator of the technology agency Volt Data Lab. He worked for Reuters and collaborated with several national and international vehicles, in addition to being a Knight Fellow at ICFJ.

Renata Hirota

Renata Hirota is a journalist from ECA-USP and a master's student in statistics at IME-USP. He has been dealing with data since 2017 and currently works at the Brazilian Jurimetrics Association. He also collaborates with the Núcleo Jornalismo, where he works with data analysis and development of tools for journalists. She is part of the R-Ladies São Paulo community, which promotes gender diversity in the R programming language community.

Juan Torres

Juan Torres is a journalist, specialist in Data Analysis and Digital Media. In 2022, he took 2nd place in the Stone Data Challenge, among more than 1,300 participants. He has worked in several media outlets – in Brazil, Spain and the USA – and has had his work recognized in more than ten national and international journalism and media awards, including the Esso Award, Petrobras, Vladimir Herzog and Data Journalism Awards.

Taís Seibt

PhD in Communication from UFRGS. He worked in press offices and newsrooms in Rio Grande do Sul, including the newspaper Zero Hora, and has signed freelance work for outlets such as O Estado de S. Paulo, O Globo, BBC Brasil, The Intercept and Agência Pública.

Vinicius Sueiro

Vinicius Sueiro is a designer from USP and has a master's degree in interaction design from Malmö University. He worked for 5 years on the Estadão infographics team. As a freelancer, he created data visualizations for Agência Lupa and The Washington Post. Today, he is a data visualization consultant at WHO.

Lorena Regattieri

Lori Regattieri has a PhD in Communication and Culture from the Federal University of Rio de Janeiro (UFRJ). Senior Fellow Trustworthy AI Mozilla Foundation. His research has focused on the field of technology, political communication, activism and propaganda tactics, and the political economy of digital infrastructures.

Rodolfo Viana

Rodolfo Viana is a data specialist and programmer. He was a producer at Rede Globo, focusing on data journalism. Before that, he was a reporter at Folha and in publications from Editora Abril.

Deborah Foroni

Graduated in Actuarial Sciences and specialized in Data Sciences. She is a member of the Pyladies São Paulo community, mainly in the Data Sciences study group, with the aim of disseminating knowledge in Statistics and Python and engaging more women in this area. She is currently a Data Scientist, master's student and Python teacher.

Bruno Morassutti

Co-founder and fiscal advisor of the agency Ficam Sabendo. Attorney. Specialist in Civil Procedural Law and Public Law. Master in Law. Researcher and activist in the area of ​​public transparency and open data and collaborates with several initiatives in these areas.

Kizzy Terra

Computer Engineer from IME, and master in Applied Mathematics from FGV-RJ. She is co-creator of the Programação Dinâmica channel on YouTube where she publishes videos about teaching programming, data science and discussions about new technologies.

Julia Giannella

PhD in Design and Technology from ESDI-UERJ. She is currently a professor on the Visual Communication Design course at UFRJ, a postdoctoral researcher on the Postgraduate Program in Design at UFRJ and founder of DatavizRio.

Fernando Barbalho

PhD in Administration from the University of Brasília and federal finance and control auditor at the National Treasury Secretariat.
Previous
Next

Student testimony

Created more than 20 years ago, IDP is a center of excellence in teaching, research and extension with headquarters in Brasília and São Paulo. Here, the professional and academic trajectory of our students reaches the highest levels of training.

The first class of IDP's MBA in Data Journalism was a success and transformed the professional lives of several students. Check out the inspiring testimony of one of our former students from the course in the video.

Your class day at IDP is like this.

There will be hours of individual study, live classes and also assisted practice. During the course, the student will have tutors available at various times to resolve their doubts and help them with whatever they need.

The entire format of the program was designed so that our students can exercise their interpersonal skills and be able to deal with the typical, everyday challenges of a Data Journalist's career.

SEE WHAT THE COORDINATOR HAS TO SAY

Our specialization is the ideal opportunity for you to qualify in an area where the demand for qualified professionals is increasing. In addition to technical learning, the objective of the course is to connect tools to create ways to inform and tell stories with credibility and depth.

Check out in the video what the course Coordinator, Bárbara Libório, has to say about the MBA.

Your path to IDP Tech School

1. Registration

2. Interview

3. Registration

Previous
Next

Still have questions?

There is no  scholarship program for the MBA. Speak to a consultant to find out more about payment possibilities.

IDP is a Higher Education Institution recognized and regulated by the MEC.  The MBA in Data Journalism has the postgraduate title . At the end of the course, the student will receive a postgraduate certificate registered with the MEC !

The MBA in Data Journalism is divided into modules, with a workload of 430 hours and a duration of 2 years. 

Our courses were designed with a continuous flow of learning, practice, training and professional development. 

Throughout this period, the student will follow immersive trails and glimpse the birth of a unique professional in the market! 

The first stage of the selection process for the MBA in Data Journalism consists of a curricular analysis. If approved, the candidate will proceed to the final interview stage with our course coordinator. 

The interviews will be carried out in a virtual format. 

No! To enroll in the MBA in Data Journalism you only need to have completed higher education at undergraduate level. 

The MBA in Data Journalism was developed for those professionals who want professional development in an area of ​​technology and yet have little or no specific knowledge in programming or mathematics. 

The Tech School will offer support material and prior study in the areas of mathematics and statistics. This way, you will make the most of your training. 

The teaching model adopted for the MBA in Data Journalism is distance learning, remote, with synchronous classes and synchronous and asynchronous activities. 

Therefore, it is important that the student participates in classes and carries out all the proposed activities to obtain a complete experience. 

Our MBA was designed so that the student has an experience beyond theory. Our synchronous meetings include moments of class and assistive practice. 

Synchronous moments, classes and practice, will be held on Fridays 
 , from 7pm to 10pm and on Saturdays, from 9am to 12pm and from 1pm to 5pm. There will be two weekends of synchronous activities interspersed with a weekend without synchronous activities  .

Payment can be made in cash or in installments in up to 24 installments. Speak to a consultant to find out more. 

Be IDP Tech School.

Are you interested?
Come study with us!