The MSc in Medical Statistics and Health Data Science will enable you to engage with the complex statistical and data science healthcare challenges facing the global community, providing high-quality training in statistical and computational methods that apply to low-, middle- and high-income settings.

Learn to analyze and interpret healthcare data for improved decision-making and patient outcomes. This course focuses on statistical methods and data analysis in healthcare.

The program prepares highly qualified specialists who can work at regional, national and international level. Students will be able to understand and develop epidemiological, medical and sociological research methodology, to perform sophisticated statistical analyses of obtained data, and to interpret observed results based on newest international knowledge and according to internationally accepted standards.

The MSc in Health Data Science explores the principles and practice of digital health as well as applied skills commonly needed for digital health careers. Healthcare is being transformed by digital technologies and big data analytics. On the MSc in Health Data Science, you will explore the principles and practices of digital health implementation.

Topics: random variables, expectation, variance, probability distributions, the central limit theorem, sampling theory, hypothesis testing, confidence intervals. Correlation, regression, analysis of variance, and nonparametric tests. Introduction to least squares and maximum likelihood estimation. Emphasis is on medical applications.

The master's program in Biostatistics and Data Science offers a unique combination of biostatistics and data science. Students with backgrounds in mathematics, statistics, computer science, or related disciplines, are provided with the skills to solve problems in biology, medicine, and public health.

This Evidence for public health responses: Statistical Methods in Epidemiology course is designed to equip you with advanced statistical skills crucial for informed decision-making in public health. This course delves into essential methodologies for planning epidemiological field surveys, conducting sample size calculations, and analysing complex survey data in Stata to address pressing public health challenges.

The Master's Degree in Biostatistics program's students has access to well-equipped auditoriums and modern computer classrooms with the latest logistical resources, IT equipment, statistical software (R, SAS, IBM SPSS Statistics, STATA), audio and video equipment, interactive whiteboards, as well as a library with extensive research databases from around the world.

The offer of training in Psychology through the Faculty of Education and Psychology of the Catholic University of Portugal (FEP-UCP) is justified insofar as it is linked to the mission of the University and corresponds to a training project that is affirmed by a standard of substantial quality .

This Master's degree offers multidisciplinary training in Microbiology, tackling different areas of application, in the lively and stimulating environment of Escola Superior de Biotecnologia (ESB). The Master in Applied Microbiology is recommended to students who have completed the 1st cycle of training in biological sciences or related fields, interested in gaining advanced knowledge and training in microbiology and in its multiple areas of application. This two years and 120 ECTS degree offers broad and specialized training in Microbiology, with the development of practical skills, problem-solving and critical reasoning, essential for a qualified professional performance in research or industry contexts.

Our course is led by academics from the health sector and higher education, including statisticians from the Animal and Plant Health Agency (APHA) and experienced professionals from the National Health Service (NHS) in Scotland. They will provide lectures on real-life health science problems and data.

Our experts address clinical care, community action, and health policy to benefit minorities with asthma in this webinar.

The Ph.D. program will produce biostatisticians who can develop a biostatistical methodology that can be utilized to solve problems in public health and the biomedical sciences. In addition, graduates of the Ph.D. program will be prepared to apply biostatistical and epidemiology methodology for the design and analysis of public health and biomedical research investigations. Finally, graduates of the Ph.D. program will be well suited to function as collaborators or team leaders on research projects in the biomedical and public health sciences. The program requires competency in the theory of statistics and probability, in introductory and advanced biostatistical methods and theory, and in fundamentals of epidemiologic study design. The doctoral dissertation will be the culminating experience in the Ph.D. program. Graduates of the doctoral program will have written a doctoral dissertation that focuses on the development of a new methodology or on the innovative application of biostatistical methods to a health sciences research problem. Graduates of the Ph.D. program will be in a position to: Demonstrate an increased level of knowledge and understanding of current statistical theory, methods, and practices in the health sciences. Develop new statistical methods. Design, manage data, analyze and interpret data from a variety of experimental and observational studies. Communicate research findings, including new statistical methods developed, effectively to various audiences in writing and through oral presentation The goals of the Ph.D. program are to train students in the application of appropriate statistical methods for diverse problems in medicine and public health and to provide a solid theoretical foundation for the development and investigation of new statistical methods. In addition to the formal statistical training, students will have adequate flexibility in choosing statistical and non-statistical electives to tailor their curriculum towards a specific application area such as genetics, epidemiology, or environmental health.

The Master of Science in Biostatistics program is designed to facilitate students’ development of a strong theoretical foundation in biostatistics, and a broad-based understanding of biostatistical methods. The goal is to prepare highly qualified individuals for future Ph.D. training and for careers in biostatistics practice.