Department of Mathematics and Computer Science

Number	The Name of Course	Units	Hours			Prerequisites or simultaneous courses
Number	The Name of Course	Units	Theory	Applied	Total	Prerequisites or simultaneous courses
23	Mathematical Analysis 1	4	64	-	64	13 and 16
27	Mathematical Statistics 1	3	48	-	48	25 and 26
28	Mathematical Statistics 2	3	48	-	48	27
29	Stochastic Processes 1	4	64	-	64	25
30	Sampling Methods 1	3	48	-	48	26
32	Regression 1	3	48	-	48	22 and 27
35	Design of Experiments 1	3	48	-	48	32
36	Nonparametric Methods	3	48	-	48	26
37	Time series 1	4	64	-	64	27 and 29
40	Discrete Multivariate Methods 1	4	64	-	64	28 and 32

* Prerequisite courses from this table are determined according to the branch related to the opinion of the graduate committee of the group

Table 2- Specialized Courses of Statistics

Number	The Name of Course	Units	Hours			Prerequisites or simultaneous courses
Number	The Name of Course	Units	Theory	Applied	Total	Prerequisites or simultaneous courses
80	Measure Theory and Probability 1	4	64	-	64	23
81	Statistical Inference 1	4	64	-	64	28
82	Statistical Inference 2	4	64	-	64	81

Table 3- Elective Courses of Statistics

Number	The Name of Course	Units	Hours			Prerequisites or simultaneous courses
Number	The Name of Course	Units	Theory	Applied	Total	Prerequisites or simultaneous courses
91	Spatial Statistics 1	4	64	-	64	28
92	Multivariate Analysis 1	4	64	-	64	28
93	Statistical Bioinformatics	4	64	-	64	28
94	Statistical Image Processing	4	64	-	64	28
95	Statistical Shape Analysis 1	4	64	-	64	28
96	Statistical Analysis of Point Patterns	4	64	-	64	114
97	Survival Analysis	4	64	-	64	32
98	Advanced Multivariate Discrete Analysis	4	64	-	64	40
99	Analysis of Longitudinal Data 1	4	64	-	64	32
100	Advanced Data Mining	4	64	-	64	28
101	Survey Methodology	4	64	-	64	30
102	Sequential Methods	4	64	-	64	28
103	Advanced Nonparametric Methods	4	64	-	64	36
104	Time Series 2	4	64	-	64	37
105	Seminar*	4	64	-	64	-
106	Simulation	4	64	-	64	28
107	Advanced Experimental Design	4	64	-	64	35
108	Statistical Process 2	4	64	-	64	29
109	Statistical Techniques	4	64	-	64	-
110	Advanced Discussions on Information Theory	4	64	-	64	28
111	Special Topics	4	64	-	64	-
112	Linear Models 1	4	64	-	64	32
113	Linear Models 2	4	64	-	64	112
114	Measure Theory and Probability 2*	4	64	-	64	80
115	Bayesian Decision Theory	4	64	-	64	28
116	Queuing Theory	4	64	-	64	28
117	Sampling Theory	4	64	-	64	30
118	Reliability Theory1	4	64	-	64	28
119	Copula Theory and Dependence Modeling	4	64	-	64	28

* These courses are necessarily taken by the student.

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