i

a

 Statistics is one of the three subjects in the Department of Mathematics, Statistics and Philosophy at the University of Tampere. The Department is located since 1.8.2001 in the Faculty of Information Sciences, which is one of the six faculties of the University. In teaching, each subject is responsible for its own curriculum. The Department offers extensive basic courses in Statistics both in the Faculty of Information Sciences and in the Faculty of Social Sciences. The Department has an extensive programme of teaching. Great emphasis is placed on the practical application of statistical methods and on the use of computers. Hence Statistics courses will contain, from the very outset, a practical project calling for active skills in the use of computers. The Department provides training for a range of higher degrees. There are the B.Sc. and M.Sc. degrees in Statistics (by coursework and dissertation) and the research degrees of Lic.Phil. and Ph.D.

The emphasis on applications can also be seen in the fact that every student majoring in Statistics must have about 20 study weeks' course series in applied subjects in his subject studies, for example Economics, Business Sciences Medical Sciences and Sociology.

The use of the computer and the study of computer science are of great importance in the study of Statistics. Most extensively the computer is utilized in the Statistics basic courses in which it is also intensively employed in lecturing. The computer is used both to illustrate theoretical concepts and in data analysis. In later phases students also have to write their own computer programs. A student graduating in Statistics has to take altogether 15 study weeks in Computer Science.

Because the theory of Statistics has a mathematical foundation, some quite extensive mathematical courses are included in the Statistics line. The total extent of mathematical studies is 25 study weeks.
CURRICULUM:
Studies in Statistics:
Basic Studies:
Introduction to Statistics
Basics of Statistical Methods I
Basics of Statistical Methods II
Intermediate Studies:
Mathematical Statistics
Matrix Algebra in Statistics
Statistical Inference I
Optional courses in Statistics:
e.g. Multivariate Analysis
Regression Analysis
Sampling Methods I
Time Series Analysis I
Statistical Quality Control
Advanced Studies:
Statistical Inference II 
Optional courses in Statistics:
e.g. Sampling Methods II
Time Series Analysis II
Linear Models
Mathematical Statistics II
Seminar
Master's Thesis
Other Studies:
General and Language Studies
Studies in Mathematics
Studies in Computer Science
Studies in Applied Science
Free-choice Studies

<< Back <<