Passionate Education and Research about Statistical Methodology, Data Analytics and Stochastics
M.Sc. in Statistics
Studies Objective
The postgraduate program of M.Sc. in Statistics provides specialized knowledge at postgraduate level to graduates of Greek and foreign Universities in the basic fields of Statistics and Probability.
The program’s objective is to train postgraduate students to the following fields:
Classes take place 4 mornings per week.
The study program mainly aims at full training and specialization of scientists with statistical or mathematical knowledge, in the science of Statistics and its applications, in order to be able to deal with and solve various problems in a quantitative way, both in the public and private sector.
Change to the old M.Sc. in Statistics program (until 2022-23)
LIST OF COURSES BY SEMESTER
In the first semester, a total of four (4) courses are offered (a total of 30 ECTS) which are compulsory for all students. In the second semester, successful attendance is required in two (2) of the three (3) compulsory (C) courses (7.5 ECTS each, total 15 ECTS) and in four (4) elective (E) courses (total 12 ECTS) coming from a list of courses from the three (3) course groups. Also, the successful attendance of short courses (total 2 ECTS) as well as the attendance of research seminars (1 ECTS) are required. In the third semester, students prepare a thesis (30 ECTS).
1st Semester
COMPULSORY
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Probability and Statistical Inference (7,5 ECTS)
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Computational Statistics (7, 5 ECTS)
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Generalized Linear Models (7,5 ECTS)
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Data Analysis (7,5 ECTS)
2nd Semester
Each student selects two (2) of the three (3) compulsory (C) courses and four (4) elective (E) courses coming from the list of courses from the three (3) course groups.
Data Analytics
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Health Data Science (C) (7,5 ECTS)
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Statistical Quality Control (E) (3 ECTS)
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Topics in Applied Statistics: Statistical Genetics- Bioinformatics (E) (3 ECTS)
Statistical Data Science
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Statistical Machine Learning (C) (7,5 ECTS)
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Bayesian Models in Statistics (E) (3 ECTS)
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Applied Stochastic Modeling (E) (3 ECTS)
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Topics in Computational Statistics: Data Engineering (E) (3 ECTS)
Finance and Stochastics
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Financial Analytics (C) (7,5 ECTS)
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Stochastic Models in Finance (E) (3 ECTS)
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Probability Theory (E) (3 ECTS)
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Advanced Stochastic Processes (E) (3 ECTS)
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Topics in Stochastics (E) (3 ECTS)
All course groups
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Short Course(s) (2 ECTS)
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Research Seminars (1 ECTS)
3rd Semester
Dissertation Thesis (30 ECTS)
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Regulation (in Greek)
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Instructions for writing and delivering the thesis (in Greek)
The programs regulation can be found here.
Proclamation for the academic year 2023 - 24.
Quality Assurance Policy for the M.Sc. in Statistics can be found here (in Greek).