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University of Illinois at Chicago (UIC) Course/Program Name
Application closes on
National :19 Jul
International :19 Jul

BS Statistics

 Course Level
Bachelors / UG
 Type
Full Time

 Duration
4 Years
 Start month
August

 Tuition fee

International
30000 USD
National
30000 USD

Application fee

International 0 USD
National 0 USD
Department
Department of Statistics
Scores accepted
IELTS (min)5.5
TOEFL-IBT (min)60
TOEFL-PBT (min)550

About this course

The Department of Mathematics, Statistics, and Computer Science offers programs leading to the Bachelor of Science with a Major in Mathematics, the Bachelor of Science in the Teaching of Mathematics, the Bachelor of Science in Mathematics and Computer Science, and the Bachelor of Science with a Major in Statistics. A Minor in Mathematics and a Minor in Mathematics and Computer Science are also offered. Each major is assigned a department advisor who approves the student’s choice of courses.

*Located in Chicago, the University of Illinois at Chicago (UIC) is the city’s premier public research university. We are ranked among Top 125 BEST VALUE schools, U.S. News & World Report, 2018. Chicago is a living laboratory for business, politics, art, architecture, culture, religion, racial and ethnic diversity, urban issues,education and health. It is local and global, urban and green, relaxed and frenetic, cultured and down to earth, big and easy to navigate—full of opportunities for new, enriching experiences.   

Our proximity to Chicago’s financial and business centre and urban healthcare district gives UIC students an edge when it comes to finding internships and work experience related to their fields of study. Local employers include: Google, Boeing, Deloitte, Groupon, Argonne National Labs, Accenture, WGN News, National Public Radio, Steppenwolf Theatre and more. 

2018 U.S. News & World Report - Best Colleges Rankings UIC is ranked 70 in Best Undergraduate Engineering Programs, 78 in Business Programs, 73 in Top Public Schools, 124 in Best Value School.

Average salary after attending UIC undergraduate program is $51,100 vs. U.S. average of $34,300 for students who have attended college.

A UIC education is a chance to explore, engage, serve, enjoy and lead. 

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Eligibility Criteria

Please refer to the requirements per country/territory above to determine which credentials are needed in your case. For the purposes of application review, only a PDF copy of the credentials should be submitted online. Official, sealed credentials will be requested only from admitted applicants intending to enroll.

  • Academic credentials must be issued by the institution you attended.
    • Third party evaluations (such as WES or ECE) are not required by the Office of Admissions and will not be accepted in place of institution-issued credentials.
  • A degree award certificate or diploma should be submitted for all completed degree programs.
  • Documents issued in a foreign language should be submitted along with certified, literal English translations

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Course Modules

Courses

STAT 101. Introduction to Statistics. 4 hours.

Applications of statistics in the real world, displaying and describing data, normal curve, regression, probability, statistical inference, confidence intervals and hypothesis tests. Course Information: Credit is not given for STAT 101 for majors in Mathematics & Computer Science, Mathematics, and Teaching of Mathematics and Statistics and Operations Research. Credit is not given for STAT 101 if the student has credit for STAT 130. Extensive computer use required. This course is offered in both a blended and traditional format. If the section is marked "Blended-Online and Classroom," use of a computer and internet access is required. Blended sections require students to do some of their coursework online. A high-speed connection, while not required, is strongly suggested. Prerequisite(s): MATH 090; or Grade of C or better in MATH 110; or appropriate score on the department placement test. Class Schedule Information: To be properly registered, students must enroll in one Laboratory-Discussion and one Lecture.

STAT 130. Introduction to Statistics for the Life Sciences. 4 hours.

Basic concepts and methods of statistics with illustrations from different areas of the life sciences; graphical and summary representations, probability, random variables, normal distribution, estimation and tests of hypotheses, t, F and chi-square. Course Information: Credit is not given for STAT 130 if the student has credit for STAT 101. Extensive computer use required. Prerequisite(s): Grade of C or better in MATH 110; or Grade of C or better in MATH 121; or appropriate score on the department placement test.

STAT 361. Elements of Statistical Methods. 2 hours.

Graphical and numerical summaries of data, statistical software package use; introduction to probability, random variables, and sampling distributions; point estimation, confidence intervals, and test of hypotheses. Course Information: Prerequisite(s): Grade of C or better in MATH 181.

STAT 362. Elements of Statistical Computing. 2 hours.

Statistical computation with the SAS and R software packages; data structure, entry, and manipulation; numerical and graphical summaries; basic statistical methods. Course Information: Prerequisite(s): Grade of C or better in STAT 361.

STAT 381. Applied Statistical Methods I. 3 hours.

Graphical and tabular representation of data; Introduction to probability, random variables, sampling distributions, estimation, confidence intervals, and tests of hypotheses. Includes SAS and SPSSX applications. Course Information: Prerequisite(s): Grade of C or better in MATH 210; or approval of the department.

STAT 382. Statistical Methods and Computing. 3 hours.

Statistical computation with the SAS and R software packages: data structure, entry, and manipulation; numerical and graphical summaries; basic statistical methods; select advanced methods. Course Information: Prerequisite(s): STAT 381.

STAT 401. Introduction to Probability. 3 or 4 hours.

Probability spaces, random variables and their distributions, conditional distribution and stochastic independence, special distributions, sampling distributions, limit theorems. Course Information: 3 undergraduate hours. 4 graduate hours. Prerequisite(s): Grade of C or better in MATH 210; or approval of the department.

STAT 411. Statistical Theory. 3 or 4 hours.

Estimation, tests of statistical hypotheses, best tests, sufficient statistics, Rao-Cramer inequality, sequential probability ratio tests, the multivariate normal distribution, nonparametric methods. Course Information: 3 undergraduate hours. 4 graduate hours. Prerequisite(s): Grade of C or better in STAT 401.

STAT 416. Nonparametric Statistical Methods. 3 or 4 hours.

Distribution free tests for location and dispersion problems, one-way and two-way layouts, the independence problem, regression problems involving slopes, detecting broad alternatives, resampling methods. Course Information: 3 undergraduate hours. 4 graduate hours. Prerequisite(s): Grade of C or better in STAT 381 or STAT 411.

STAT 431. Introduction to Survey Sampling. 3 or 4 hours.

Simple random sampling; sampling proportions; estimation of sample size; stratified random sampling; ratio estimators; regression estimators; systematic and cluster sampling. Course Information: 3 undergraduate hours. 4 graduate hours. Prerequisite(s): Grade of C or better in STAT 411 or STAT 481.

STAT 451. Computational Statistics. 3 or 4 hours.

Modern computationally-intensive statistical methods including Monte Carlo integration and simulation, optimization and maximum likelihood estimation, EM algorithm, MCMC, sampling and resampling methods, non-parametric density estimation. Course Information: 3 undergraduate hours. 4 graduate hours. Extensive computer use required. Prerequisite(s): STAT 411.

STAT 461. Applied Probability Models I. 3 or 4 hours.

Computing probabilities and expectations by conditioning, Markov chains, Chapman-Kolmogorov equations, branching processes, Poisson processes and exponential distribution, continuous-time Markov chains, reversibility, uniformization. Course Information: 3 undergraduate hours. 4 graduate hours. Prerequisite(s): Grade of C or better in STAT 401.

STAT 471. Linear and Non-Linear Programming. 3 or 4 hours.

Linear programming, simplex algorithm, degeneracy, duality theorem sensitivity analysis, convexity, network simplex methods, assignment problems. Constrained and unconstrained minima. Quasi-Newton methods. Ellipsoidal methods of Kachian. Course Information: 3 undergraduate hours. 4 graduate hours. Prerequisite(s): Grade of C or better in MATH 310.

STAT 473. Game Theory. 3 or 4 hours.

Introduction to the basic ideas of game theory. Static and dynamic games; mixed strategies, imperfect information; economic, political and biological applications. Course Information: Same as ECON 473. 3 undergraduate hours. 4 graduate hours. Prerequisite(s): STAT 381; or ECON 270; or equivalents.

STAT 475. Mathematics and Statistics for Actuarial Sciences I. 3 or 4 hours.

Financial mathematics as it pertains to the valuation of deterministic cash flows. Basic concepts and techniques regarding the theory of interest. Course Information: 3 undergraduate hours. 4 graduate hours. Prerequisite(s): MATH 210.

STAT 481. Applied Statistical Methods II. 3 or 4 hours.

Linear regression, introduction to model building, analysis of variance, analysis of enumerative data, nonparametric statistics, product and system reliability, quality control. SAS and SPSSX applications. Course Information: 3 undergraduate hours. 4 graduate hours. Prerequisite(s): Grade of C or better in STAT 381.

STAT 486. Statistical Consulting. 3 or 4 hours.

Introduction to statistical consulting methods and techniques. Handling and transformation of raw data sets in CMS. Statistical analysis of data sets with SAS and SPSSX. Course Information: 3 undergraduate hours. 4 graduate hours. Prerequisite(s): Grade of C or better in STAT 411 or STAT 481.

STAT 494. Special Topics in Statistics, Probability and Operations Research. 3 or 4 hours.

Course content announced prior to each semester in which it is given. Topics drawn from areas such as distribution theory; Bayesian inference; discrete optimization; applied probability models; resampling techniques; biostatistics; environmental sampling. Course Information: 3 undergraduate hours. 4 graduate hours. May be repeated. Students may register in more than one section per term. Prerequisite(s): Approval of the department.

STAT 496. Independent Study. 1-4 hours.

Reading course supervised by a faculty member. Course Information: May be repeated. Students may register in more than one section per term. Prerequisite(s): Approval of the instructor and approval of the department.

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How to Apply

PROGRAM-REQUIRED MATERIALS

These are determined by the program. See the program's website for complete details. Program requirements may include (but are not limited to) items such as:

  • GRE scores - use our Institutional Code 1851 to report your results
  • Personal statement - refer to the program for prompts or topics
  • Letters of recommendation - online requests initiated through the application checklist
  • Writing samples
  • Resume/curriculum vitae
  • Application for graduate appointment (pdf) - general Graduate College form - some programs may require use of their own form

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