Requirements for the Bachelor of Science or Bachelor of Arts Degree in Statistics

1. The University requirements for bachelor's degrees as described in the Undergraduate Education section of this catalog; 120 credits, including general elective credits are required for the Bachelor of Science or Bachelor of Arts degree in Statistics.
   
   The University's Tier II writing requirement for the Statistics major is met by completing Statistics and Probability 481.  That course is referenced in item 3. below.
   
   Students who are enrolled in the College of Natural Science may complete the alternative track to Integrative Studies in Biological and Physical Sciences that is described in item 1. under the heading Graduation Requirements in the College statement.  Certain courses referenced in requirement 3. below may be used to satisfy the alternative track.
2. The requirements of the College of Natural Science for the Bachelor of Science degree or Bachelor of Arts degree.
   
   The credits earned in certain courses referenced in requirement 3. below may be counted toward College requirements as appropriate.
3. The following requirements for the major:

   a.	The following courses (19 to 23 credits):
   	(1)	One of the following courses (3 or 4 credits):
   		LB	118	Calculus I			4
   		MTH	132	Calculus I			3
   		MTH	152H	Honors Calculus I			3
   	(2)	One of the following courses (4 credits):
   		LB	119	Calculus II			4
   		MTH	133	Calculus II			4
   		MTH	153H	Honors Calculus II			4
   	(3)	One of the following course (4 credits):
   		LB	220	Calculus III			4
   		MTH	234	Multivariable Calculus			4
   		MTH	254H	Honors Multivariable Calculus			4
   	(4)	One of the following groups of courses (4 to 7 credits):
   		(a)	MTH	299	Transitions		4
   			MTH	309	Linear Algebra I		3
   		(b)	MTH	299	Transitions		4
   			MTH	314	Matrix Algebra with Applications		3
   		(c)	MTH	317H	Honors Linear Algebra		4
   	(5)	One of the following courses (4 credits):
   		CMSE	201	Computational Modeling and Data Analysis I			4
   		CSE	231	Introduction to Programming I			4
   b.	The following courses (10 credits):
   	(1)	The following course (4 credit):
   		STT	180	Introduction to Data Science			4
   	(2)	One of the following courses (3 credits):
   		STT	441	Probability and Statistics I: Probability			3
   		STT	861	Theory of Probability and Statistics I			3
   	(3)	One of the following courses (3 credits):
   		STT	442	Probability and Statistics II: Statistics			3
   		STT	862	Theory of Probability and Statistics II			3
   c.	The following capstone course (3 credits):
   	STT	481	Capstone in Statistics (W)				3
   d.	Three of the following courses (9 or 10 credits):
   	EC	821A	Cross Section and Panel Data Econometrics I				3
   	EC	821B	Cross Section and Panel Data Econometrics II				3
   	EC	822A	Time Series Econometrics I				3
   	EC	822B	Time Series Econometrics II				3
   	STT	422	Statistics II				3
   	STT	455	Actuarial Models I				3
   	STT	456	Actuarial Models II				3
   	STT	459	Construction and Evaluation of Actuarial Models				3
   	STT	461	Computations in Probability and Statistics				3
   	STT	464	Statistics for Biologists				3
   	STT	465	Bayesian Statistical Methods				3
   	STT	801	Design of Experiments				3
   	STT	802	Statistical Computation				3
   	STT	814	Advanced Statistics for Biologists				4
   	STT	825	Sample Surveys				3
   	STT	843	Multivariate Analysis				3
   	STT	844	Time Series Analysis				3
   	STT	847	Analysis of Survival Data				3
   	STT	855	Statistical Genetics				3
   	STT	863	Statistical Methods I				3
   	STT	864	Statistical Methods II				3
   	STT	886	Stochastic Processes and Applications				3
   	STT	888	Stochastic Models in Finance				3
   	Not more than two courses may be chosen from STT 455, 456, or 459.
   e.	Electives chosen from any combination of the following, approved by the student's academic advisor (6 credits):
   	(1)	Courses from item d. not used to fulfill that requirement with the exception of STT 455, 456, or 459;
   	(2)	MTH 235 or any 300-level or higher MTH course;
   	(3)	CSE 232 or 260 or any 300-level or higher CSE course; or CMSE 381 or any 400-level or higher CMSE course;
   	(4)	300-400 level courses in an area of application of statistics and probability.