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Learning Opportunity: Applied Statistics, MAS

Applied Statistics, MAS

Course Information

The MAS degree, Master of Applied Statistics, is an interdisciplinary study at the University of Iceland. The study is 90 ECTS and on completion the student is entitled to the MAS degree. Students take 60 ECTS in courses and a 30 ECTS project. The goal of the MAS study is for the student to know and understand the basic concepts of modern statistics and be able to apply these to projects in other fields. 

1.     Knowledge: Students who graduate with an MAS degree have extensive knowlede and  understanding of applied statistics, as used in various fields. This involves:
1.1. The student knows the aspect of statistics which form a basis for modern statistics: experimental design, data collection and storage, simulation, generalized linear models and survival analysis.
1.2. The student knows selected aspects of an associated field (if applicable), which combine to make a basis for continuing in that field.
1.3. The student has knowledge and understanding of the uses of statistics through solving and studying applied projects and with modeling in scientific applications. 
1.4. The student has basic knowledge of using computers, including programming, at least in R.  
1.5. The student knows selected statistical topics which are more extensive than those listed in item 1.1.

2.     Skills: Students who graduate with an MAS degree can use statistical methods in a logical manner to solve applied projects using existing software and using their own programming.  This involves:
2.1. The student can apply statistics in a logical manner to solve theoretical and applied tasks. 
2.2. The student can apply statistics to solve applied tasks or design a model for scientific applications.
2.3. The student can apply statistics to solve theoretical and applied tasks in an associated field (if applicable).
2.4. The student is in command of computer use and programming, at least in R. 

3.     Competence: Students who graduate with an MAS degree can transfer knowledge and apply statistical methods to new fields, interpret and explain. This involves:  
3.1. The student is literate in modern statistics.
3.2. The student has expertise in statistical reasoning.
3.3. The student can choose the appropriate statistical methods for a specified statistical project or project in the associated field (if applicable).
3.4. The student is literate in the associated field (if applicable).
3.5. The student can describe theoretical aspects of certain statistical projects and the associated field (if applicable).
3.6. The student can use information technology to disseminate statistical results.

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