Statistics

The Bachelor's Degree in Statistics at the University of Campinas (Unicamp) offers a comprehensive and rigorous education in the fundamental and applied aspects of statistical science. Designed to prepare students for diverse careers in industry, research, government, and academia, this program combines theoretical foundations with practical skills essential for data analysis, interpretation, and decision-making. Throughout the course, students engage with subjects such as probability theory, statistical inference, linear models, experimental design, and multivariate analysis, ensuring a solid understanding of core statistical concepts. Additionally, the curriculum incorporates training in programming languages like R and Python, data management techniques, and visualization tools, equipping graduates to handle large datasets and extract meaningful insights.

The program emphasizes critical thinking, problem-solving, and effective communication of statistical findings, which are vital skills in today’s data-driven world. Students participate in various practical exercises, including laboratory work, projects, and internships, fostering real-world experience and collaboration skills. The faculty comprises experienced researchers and practitioners dedicated to mentoring students and advancing research in areas such as biostatistics, econometrics, quality control, and environmental statistics. Furthermore, the program encourages engagement with contemporary issues through interdisciplinary projects, preparing graduates to adapt to new challenges in fields like public health, finance, marketing, and technology.

Graduates of the Statistics program at Unicamp are well-positioned to pursue careers in data analysis, consulting, research institutions, and governmental agencies. They also have a strong foundation for advanced studies and research in statistics, mathematics, or related disciplines. The university’s state-of-the-art facilities, active research groups, and partnerships with industry ensure students receive a high-quality education aligned with current trends and demands. By completing this program, students gain the quantitative skills necessary to contribute meaningfully to data-driven decision-making processes across various sectors, making them highly valuable in an increasingly interconnected and information-centric world.

Core Curriculum to the Course

• Instrumental English I
• Instrumental English II
• Calculus I
• Analytic Geometry and Vectors
• Calculus II
• Calculus III
• Linear Algebra
• Algorithm and Computer Programming
• Data Structure
• Calculus Basics
• Statistics Notion
• Statistics Laboratory
• Probability I
• Probability II
• Notion of Inference
• Inference
• Sample Techniques
• Stochastic Processes
• Computation Applied to Statistic
• Time Series
• Applied Statistics
• Regression Analysis
• Planning and Research
• Methodologies and Research Techniques
• Statistical Quality Control
• Statistics Advisory
• Discrete Data Analysis
• Multivariate Analysis Methods
• Multivariate Analysis Methods II
• Training Supervised
• Numerical Calculus
• Numerical Analysis I

Elective Subjects

40 credits among:

• Basics of Molecular Biology
• Biology
• Environmental Science
• Company Strategies in Engineering
• Quantitative Methods Applied to Financial Economy 
• Economy for Engineering
• Marketing Management
• Industrial Metrology
• Mathematics IV
• Analysis I
• Analysis II
• Stochastic Processes II
• Special Topics in Applied Statistics I
• Statistical Methods for Biological Science
• Undergraduate Research I with Focus on Study Continuity in Post-Graduation
• Undergraduate Research II with focus on study continuity in post-graduation
• Undergraduate Research I
• Statistical Quality Control II
• Non-Parametric Methods
• Undergraduate Research I – Focus on Biostatistical and Medical Statistics Area
• Undergraduate Research II – Focus on Biostatistical and Medical Statistics Area
• Undergraduate Research I with Focus on Econometrics Area
• Undergraduate Research II with focus on econometrics area
• Undergraduate Research I with Focus on Industrial Process Area
• Undergraduate Research II with Focus on Industrial Process Area
• Special Topics in Applied Statistics II
• Bayesian Inference
• Robustness
• Econometrics
• Information Theory
• Demography
• Undergraduate Research II
• Special topics with focus on study continuity in post-graduation
• Topics with Focus on Biostatistical and Medical Statistics Areas
• Topics with Focus on Econometrics Area
• Topics with Focus on Industrial Process Control
• Statistics Seminars
• Monograph with Focus on Study Continuity in Post-Graduation
• Monograph with Focus on Biostatistical and Medical Statistics Areas
• Monograph with Focus on Econometrics Area
• Monograph with Focus on Industrial Process Control
• Financial Mathematics
• Linear Programming
• Probabilistic Methods in Operational Research
• Introduction to Fuzzy Theory
• Systems Simulation
• Mathematical Models for Biology
• System Simulation Laboratory
• Production Planning and Control
• Mathematical Models for Biology II
• Sensorial Food Analysis 
• Any subject with MC--- code

12 credits among:

• Any subject offered by UNICAMP

• To enroll as a regular student in one of UNICAMP's 66 undergraduate courses, foreign students usually have to pass the Vestibular entrance examination, required for Brazilian students as well.Unicamp’s COMVEST1 organizes the Vestibular entrance examination, offered once a year and only in Portuguese.

The undergraduate program in Statistics at the University of Campinas (Unicamp) offers diverse funding opportunities for students pursuing their degree. Financial assistance is primarily provided through federal and state government programs, including the Brazilian Federal Student Assistance Program (FIES) and the Student Financing Fund (Fundo de Financiamento Estudantil). These programs aim to support students from various socioeconomic backgrounds, facilitating access to higher education and reducing financial barriers. Additionally, Unicamp itself allocates resources for scholarships and grants awarded based on academic performance, socioeconomic need, and research excellence. The university encourages student participation in research projects and extension activities which sometimes provide stipends or financial support. External scholarships from private foundations and non-governmental organizations are also available, often targeting students with outstanding academic records or specialization interests in statistics and related fields. The university’s financial aid office provides comprehensive guidance on application procedures and eligibility criteria for each support option. Moreover, Unicamp promotes integration with government programs such as ProUni, which offers full and partial scholarships for students from low-income families, further expanding the avenues for financial assistance. Many students also benefit from part-time work within the university’s research centers or academic departments, gaining valuable professional experience while supporting their studies financially. Overall, the University of Campinas is committed to increasing accessibility and ensuring that talented students can pursue their education without undue financial burden, fostering an inclusive academic environment for the study of Statistics.

The undergraduate program in Statistics at the University of Campinas (UNICAMP) is designed to provide students with a comprehensive understanding of statistical theories, methods, and applications across various fields. The curriculum emphasizes both theoretical foundations and practical skills, preparing graduates to analyze data, interpret results, and support decision-making processes in diverse industries such as healthcare, finance, government, and academia. The program typically spans four years, involving coursework in probability theory, statistical inference, regression analysis, experimental design, and computational statistics. Students are encouraged to engage in research projects, internships, and collaborations with industry partners to gain real-world experience. UNICAMP's strong emphasis on scientific research ensures that students are exposed to multiple methodologies and software tools used in modern data analysis. Graduates from this program are well-equipped for careers in data science, governmental agencies, private enterprises, or to pursue advanced studies and research opportunities. The university's faculty members are recognized experts in their fields, contributing to international journals and conferences, thus ensuring a high quality of education. The program also fosters critical thinking, problem-solving abilities, and ethical considerations related to data handling and privacy. With a focus on innovation and technological development, UNICAMP maintains modern laboratories and computing facilities that support the training of students in the latest statistical software and techniques. Overall, the Statistics program at UNICAMP offers rigorous academic training combined with practical experiences, aiming to produce highly competent professionals prepared to meet the demands of a data-driven world.