Aveiro, Portugal
DURATION
2 Years
LANGUAGES
Portuguese
PACE
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APPLICATION DEADLINE
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EARLIEST START DATE
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TUITION FEES
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STUDY FORMAT
On-Campus
Key Summary
Introduction
Master in Medical Statistics
The Master in Medical Statistics aims to train specialists that deal with the theoretical and practical aspects of planning research and analysis of medical, biomedical, and epidemiological data and develop and apply statistical methodologies necessary for research in Medicine, Pharmacy, Epidemiology, Genetics, and others Health Sciences.
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Admissions
Scholarships and Funding
Several scholarship options are available. Please visit the university website for more information.
Curriculum
Year 1
1st Semester
- Statistical Labs
- Fundamentals of Medical Statistics
- Fundamentals of Epidemiology and Public Health
- Fundamentals of Biomedicine
- Multivariate Data Analysis
2nd Semester
- Further Topics in Medical Statistics
- Sampling and Experimental Design
- Clinical Trials
- Bayesian Methods
Year 2
1st Semester
- Seminars On Medical Statistics
- Free Option
Program Outcome
Intended learning outcomes
At the end of the course, students will be prepared to: explain development issues and medical / biomedical / epidemiological research; plan experiences to answer questions of medical / epidemiological nature; select and apply statistical techniques to treat, analyze and model the types of data that arise in these areas; using statistical analysis and data processing software and interpreting their results; communicate effectively with professionals in the (bio) medical / epidemiological areas through oral or written presentations on the results of statistical analyzes or exploration of new techniques; working in multidisciplinary teams; update knowledge
Program Tuition Fee
Career Opportunities
This Master's degree is intended to be a response to the lack of statistics professionals in the context of medical, epidemiological, or clinical work.
It is intended that these professionals can work as statisticians in various sectors, including pharmaceutical industry, clinical / (bio) medical consulting companies, health services, higher education, research institutions.