Bachelor of Science in Applied Statistical Analysis
Applied Statistical Analysis is a career that works in one of the hottest sectors of the job market and with the latest technology collecting, displaying, analyzing and mining data. The future belongs to Data Mining Scientists who engineer and apply statistical analysis to interdisciplinary problems. These engineers will build upon four foundational technologies: Cloud services and Cloud enabling technologies; Mobile devices, applications, and next-generation broadband networks; Big data/analytics; and Social Technologies.
The Applied Statistic Analysis program establishes an interdisciplinary mechanism with full-time professorial staff who will train you to be analytically and statistically prepared in one or several concentrations:
- Global Development,
- Quantitative Business Methods,
- Biostatistics,
- Chemical Analysis, or
- Public Health
Don’t be surprised that this major in Applied Statistical Analysis is rigorous and comprehensive, as since it prepares you (based upon your concentration) for careers in Math, Chemistry, Biology, Business and Global Studies. Incredibly, it’s estimated that 190,000 people with Applied Statistical Analysis skills are estimated to be needed by 2018.
At CBU, we’re pushing the envelope, setting the edge, and discovering new algorithms, finding new patterns and insights amid vast broadband fields of zeroes and ones, that no mind has seen before.
If you want to pursue a challenging and rewarding career that uses your natural problem solving abilities and technological skills to solve “real world” problems – this major is for you.
Applied Statistical Analysis (68-69 units) BS
Lower Division Requirements
CIS268 Computer Programming Languages
CIS268 Computer Programming Languages
In this course concepts of different computer programming languages are presented. Attention given to the common factors of programming languages as well as a structured approach to program development. The program language may change semester to semester and include but not be limited to: Visual Basic; C++; COBOL. This course may be repeated when there is a change of program language. (3 units; Spring)
MAT144 Introduction to Statistics
MAT144 Introduction to Statistics
Mathematical theory and applications, development of formulae, principles of statistical decision theory, descriptive measurements, probability concepts, random variables, normal distribution, inferential statistics, sampling distributions, confidence intervals, hypothesis testing, chi-squared procedures, linear regression, and the use of computers in statistics. Prerequisite: MAT 115 or sufficient SAT, ACT or math placement exam scores and appropriate high school mathematics background. (3 units; Fall, Spring)
MAT245 Analy Geom & Calc I
MAT245 Analy Geom & Calc I
Basic concepts of analytical geometry, limits and derivatives, differentials and rates, integration, definite and indefinite integrals, differentiation of logarithmic and exponential functions. Prerequisite: MAT 135, 145, EGR 182, or sufficient SAT, ACT or math placement exam scores and appropriate high school mathematics background. (4 units; Fall, Spring)
| Course | Sec | Instructor | Dates | Days | Time | Location | |
|---|---|---|---|---|---|---|---|
| Summer 2013 | MAT245-A | A | Thomas, Bradley G | 05/06/2013 | Monday, Tuesday, Wednesday, Thursday | 10:30 AM - 12:20 PM | Yeager Center B111 |
| Fall 2013 | MAT245-C | C | Hernandez, Lisa | 09/03/2013 | Monday, Wednesday, Friday | 9:00 AM - 9:50 AM | TBA Array |
| Fall 2013 | MAT245-B | B | Cordero, Ricardo J. | 09/03/2013 | Monday, Wednesday, Friday | 10:00 AM - 10:50 AM | TBA Array |
| Fall 2013 | MAT245-A | A | Cordero, Ricardo J. | 09/03/2013 | Monday, Wednesday, Friday | 9:00 AM - 9:50 AM | TBA Array |
| Fall 2013 | MAT245-D | D | Hernandez, Lisa | 09/03/2013 | Thursday | 9:00 AM - 9:50 AM | TBA Array |
| Fall 2013 | MAT245-E | E | Cordero, Ricardo J. | 09/03/2013 | Monday, Wednesday, Friday | 2:00 PM - 2:50 PM | TBA Array |
MAT255 Anlytical Geometry & Calculus II
MAT255 Anlytical Geometry & Calculus II
Continued study and applications of integration: volumes, lengths, surface of revolution; derivatives and integrals involving trigonometric functions, indefinite series, expansion of functions, hyperbolic functions, law of the mean, indeterminate forms, partial fractions, polar coordinates, and conic sections. Prerequisite: MAT 245. (4 units; Fall, Spring)
| Course | Sec | Instructor | Dates | Days | Time | Location | |
|---|---|---|---|---|---|---|---|
| Summer 2013 | MAT255-A | A | Cordero, Ricardo J. | 06/17/2013 | Monday, Tuesday, Wednesday, Thursday | 12:00 PM - 1:50 PM | Sch Business Building 103 |
| Fall 2013 | MAT255-E | E | Thomas, Bradley G | 09/03/2013 | Tuesday | 1:00 PM - 1:50 PM | TBA Array |
| Fall 2013 | MAT255-B | B | Thomas, Bradley G | 09/03/2013 | Monday | 10:00 AM - 10:50 AM | TBA Array |
| Fall 2013 | MAT255-C | C | Thomas, Bradley G | 09/03/2013 | Wednesday | 10:00 AM - 10:50 AM | TBA Array |
| Fall 2013 | MAT255-A | A | Thomas, Bradley G | 09/03/2013 | Tuesday | 10:00 AM - 10:50 AM | TBA Array |
STA205 Applied Linear Regression
STA205 Applied Linear Regression
This course represents a basic concepts and methodology course in regression analysis using application of general linear regression models to real-life situations. Case studies are used to give practice in diagnosing practical problems, deciding on appropriate models, and knowing which inferential technique will answer the researchers questions for the purposes of description and prediction. Regression models and model building typical of problems used in the social and behavioral sciences, the natural and health sciences, and many other disciplines are covered. Prerequisite: STA 144. (3 units; Spring - even years)
STA210 Statistical Computing I
STA210 Statistical Computing I
An introduction to data mining, management and statistical programming techniques using comprehensive and widely available tools like SAGE, SPSS, SAS and R. Students learn exploratory data analysis, coding and manipulation of variables, database management applying statistical concepts. Modeling and simulation experiments on a variety of applied data sets. Prerequisites: CIS 268 and STA 144.(3 units; Fall - odd years)
| Course | Sec | Instructor | Dates | Days | Time | Location | |
|---|---|---|---|---|---|---|---|
| Fall 2013 | STA210-A | A | Carothers, Linn E. | 09/03/2013 | Monday, Wednesday, Friday | 10:00 AM - 10:50 AM | TBA Array |
STA211 Statistical Computing II
STA211 Statistical Computing II
A continuation of Statistical Computing I using comprehensive and widely available tools like SAGE, SPSS, SAS and R. Advanced techniques will be covered including (but not limited to) numerical linear algebra, optimization and nonlinear equations, the EM algorithm, Laplace approximations, quadrature methods, simulation methodology, sampling, Monte Carlo and bootstrap methods. Prerequisites; STA 210, MAT 255 and 303. (3 units; Spring - even years)
Upper Division Requirements
MAT303 Linear Alg w/Appl to Diff Equtns
MAT303 Linear Alg w/Appl to Diff Equtns
This course is designed to teach students some of the basic computational skills of Linear Algebra in the context of Differential Equations. Students will learn to use the basic operations of matrices, study systems of linear equations and find the determinant, eigenvalues and eigenvectors of a matrix. The student will apply these tools in the qualitative study of solutions to systems of Differential Equations. Prerequisite: MAT245. (3 units; Fall)
| Course | Sec | Instructor | Dates | Days | Time | Location | |
|---|---|---|---|---|---|---|---|
| Fall 2013 | MAT303-A | A | Cordero, Ricardo J. | 09/03/2013 | Monday, Wednesday, Friday | 9:00 AM - 9:50 AM | TBA Array |
MAT343 Multivariable Calculus
MAT343 Multivariable Calculus
Study and applications of vector analysis, partial differentiation, multiple integration, Jacobians, theorems of Green and Stokes, and divergence theorem. Prerequisite: MAT 255. (4 units; Fall, Spring)
| Course | Sec | Instructor | Dates | Days | Time | Location | |
|---|---|---|---|---|---|---|---|
| Fall 2013 | MAT343-B | B | Pankowski, Franciszek | 09/03/2013 | Friday | 9:00 AM - 9:50 AM | TBA Array |
| Fall 2013 | MAT343-A | A | Pankowski, Franciszek | 09/03/2013 | Thursday | 9:00 AM - 9:50 AM | TBA Array |
MAT353 Probability & Statistics
MAT353 Probability & Statistics
A calculus based course covering discrete and continuous distributions, expectations, the normal distribution, the central limit theorem, the binomial distribution, and various topics in statistical theory such as point estimation, hypothesis testing, and linear regression. Prerequisite: MAT 245.(3 units; Fall-even years)
| Course | Sec | Instructor | Dates | Days | Time | Location | |
|---|---|---|---|---|---|---|---|
| Fall 2013 | MAT353-A | A | TBA | 09/03/2013 | Tuesday, Thursday | 12:30 PM - 1:50 PM | TBA Array |
STA303 Research & Experimental Design
STA303 Research & Experimental Design
This course studies experimental designs with corresponding models and analyses critical for students in the empirical sciences. Course topics include estimation, test of hypothesis, analysis of variance and a variety of topics in experimental design. Decisions and practical considerations which minimize experimental error and avoid confounding results are dealt with in real life contexts. Prerequisite: STA 144.(3 units; Fall - odd years)
| Course | Sec | Instructor | Dates | Days | Time | Location | |
|---|---|---|---|---|---|---|---|
| Fall 2013 | STA303-A | A | Carothers, Linn E. | 09/03/2013 | Tuesday, Thursday | 12:30 PM - 1:50 PM | Instructor OFFC |
STA305 Sampling & Survey Methodology
STA305 Sampling & Survey Methodology
Sampling theory and practice are presented in this course through a study of simple random samples, stratified random samples, cluster sampling, estimating sample size, ratio estimates, subsampling, two-state sampling and analysis of sampling error. This is a critical course for students in education and the social, medical, biological and management sciences where sampling is a fundamental step in virtually every statistical procedure and critical to meaningful survey research. (3 units, Fall - odd years)
| Course | Sec | Instructor | Dates | Days | Time | Location | |
|---|---|---|---|---|---|---|---|
| Fall 2013 | STA305-A | A | Carothers, Linn E. | 09/03/2013 | Tuesday, Thursday | 2:00 PM - 3:20 PM | Instructor OFFC |
STA310 Mathematical Statistics I
STA310 Mathematical Statistics I
The first semester of a two-semester course providing a systematic development of the theories of probability and statistics. Students learn and use fundamental concepts of probability models, random variables and their distributions, reduction of data, estimation, testing of hypotheses, univariate normal inference, and statistical decision theory. The first semester is required for BA and BS statistics majors of all concentrations. Prerequisite: MAT 353. (3 units; Fall - even years)
STA311 Mathematical Statistics II
STA311 Mathematical Statistics II
Second semester course in a systematic development of the theories of probability and statistics. Topics include analysis of categorical data, multivariate distributions, nonparametric inference, linear models and analysis of variance. As time permits, the theory underlying Markov chain, Monte Carlo, quasi-likelihood, empirical likelihood, statistical functionals, generalized estimating equations, the jackknife, and the bootstrap are addressed. Prerequisites: MAT 303, 343, and STA 310. (3 units; Spring - odd years)
STA499 Capstone
STA499 Capstone
The course is designed to be a culminating experience for senior students. The course gives students through writing, seminar and conference participation, an opportunity to demonstrate their skill and proficiency in the field of statistics. In some cases, this may be coupled with internships. Prerequisite: Permission of Department Chair. (3 units; Spring)
Concentration Courses
Students must complete all of the requirements in one of the following concentrations:
- Biostatistics (20 units)
- Chemical Analysis (20-21 units)
- Public Health (21 units)
APPLY ONLINE
VISIT OUR CAMPUS
REQUEST INFORMATIONRobbie Willett, '11
"CBU professors really want you to succeed which I found very helpful in motivating me and getting me to move forward with my mathematics career."
View all testimonials »