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  • Applied Statistics & Analytics Graduate program details

Applied Statistics & Analytics Graduate program details

Master of Science in Applied Statistics & Analytics, Graduate Certificate in Applied Statistics, and Graduate Certificate in Applied Data Science program details. Program overview here.

The following information applies to each of the three credentials.

Tuition and fees: https://edwardscampus.ku.edu/edwards-campus-tuition-fees

To apply: http://applyweb.com/kumc

Applications deadlines:

  Spring: January 1
  Summer: May 1
  Fall: August 1

Comprehensive KU course catalog: https://catalog.ku.edu/

KU grading and grades: https://registrar.ku.edu/grades

KU Medical Center Department of Biostatistics & Data Science: http://www.kumc.edu/school-of-medicine/department-of-biostatistics.html

KU Medical Center Office of Graduate Studies: http://www.kumc.edu/academic-and-student-affairs/opags/graduate-studies/admission.html

KU Medical Center calendar: http://www.kumc.edu/student-affairs/enrollment-services/current-students/academic-calendar.html

KU Medical Center Enrollment Services: http://www.kumc.edu/student-affairs/enrollment-services.html

KU Medical Center refund policies: http://www.kumc.edu/student-affairs/enrollment-services/current-students/tuition-and-fees.html

Admissions information

Requirements for consideration by the Admissions Committee (in addition to the KU Medical Center Office of Graduate Studies’ general requirements):

  1. Online application: applyweb.com/kumc (Applicants will need to designate three recommenders.)
  2. Official transcript(s) with evidence of an undergraduate degree mailed to:
    University of Kansas Medical Center 3901 Rainbow Blvd, Mail Stop 4005 Kansas City, KS 66160
    or
    Email to: stats_education@kumc.edu
  3. Cumulative undergraduate GPA of 3.0 or better. Applicants who do not meet this threshold may be admitted under provisional status
  4. B average or higher in Calculus I and II courses (i.e. single variable differentiation and integration or equivalent)
  5. Completion of any computer programming language course or demonstration of mastery via credentials or work experience
  6. GRE preferred but not required

Master of Science in Applied Statistics & Analytics

With the rising emphasis on all-things-data in businesses and other organizations, so rises the need for statisticians and data scientists. The U.S. Bureau of Labor Statistics estimates a 34 percent growth in jobs for statisticians by 2024 and reports a current median salary of $75,600 for statisticians and $124,100 for data scientists. Organizations need them to harvest data and turn it into information and insights that drive actions and shape strategies.

The lucrative Master of Science in Applied Statistics & Analytics degree typically compliments prior education and careers in:
• Business
• Finance
• Accounting
• Marketing
• Education
• Mathematics
• Health care

Fortune magazine ranked statistics and biostatistics among the top graduate degrees in 2015 and 2016 based on salary, growth
and job satisfaction. Graduating with an M.S. degree in applied statistics and analytics will open new doors to a more rewarding career.

Curriculum and requirements

This 30-credit-hour program is organized into three sections: required foundation, area of emphasis and electives. A minimum GPA of 3.0 on a 4.0 scale is required.

Required Foundation (12 credit hours)

STAT 805: Professionalism, Ethics and Leadership in the Statistical Sciences
STAT 835: Categorical Data Analysis
STAT 840: Linear Regression
STAT 850: Multivariate Statistics

The emphasis areas also require six credit hours of topic-focused coursework and six credit hours of electives. Pick either statistics, analytics or data science to fulfill the requirement.

Statistics Emphasis (12 credit hours) 

STAT 820: SAS Programming I
STAT 825: Nonparametric Methods
STAT 830: Experimental Design
STAT 871: Mathematical Statistics

Analytics Emphasis (12 credit hours)

STAT 820: SAS Programming I
STAT 823: Introduction to Programming and Applied Statistics in R
STAT 830: Experimental Design
STAT 880: Data Mining and Analytics

Data Science Emphasis (12 credit hours)

STAT 823: Introduction to Programming and Applied Statistics in R
DATA 824: Data Visualization and Acquisition
STAT 880: Data Mining and Analytics
DATA 881: Statistical Learning I

Electives (6 credit hours)

STAT 820: SAS Programming I
STAT 821: SAS Programming II
STAT 823: Introduction to Programming and Applied Statistics in R
STAT 825: Nonparametric Methods
STAT 830: Experimental Design
STAT 833: Measurement for Statisticians
STAT 845: Survival Analysis
STAT 871: Mathematical Statistics I
STAT 880: Data Mining and Analytics
DATA 824: Data Visualization and Acquisition
DATA 881: Statistical Learning I
DATA 882: Statistical Learning II

Students must pass the Applied Masters Comprehensive Examination during their final semester of enrollment.

Master of Science in Applied Statistics & Analytics program guide

Graduate Certificate in Applied Statistics

The Graduate Certificate in Applied Statistics provides students with specialized knowledge required of careers in the rapidly growing fields of statistics and data analytics. There is increasing demand in the workforce for graduate-trained data scientists with excellent hands-on analytic skills. This graduate certificate is designed to provide individuals with focused knowledge in statistical theory with an emphasis on application that will allow them to make an immediate impact within their field.

The Certificate in Applied Statistics emphasizes hands-on statistical computing in the context of statistical methods most commonly applied in industry and government agencies. It provides an exposure to some of the most commonly-used statistical methods. The Certificate in Applied Statistics program will expand the certificate options in STEM fields for students seeking quantitative and technological training in the region.

Curriculum and requirements

A minimum of 15 post-Bachelor’s degree credit hours are required with a minimum GPA of 3.0 on a 4.0 scale. A typical full-time course plan is listed below for the Certificate in Applied Statistics. It requires 15 credit hours that consists of 9 credit hours of required coursework and 6 credit hours of electives:

Required courses (15 credit hours)

  STAT 823: Introduction to Programming and Applied Statistics in R or
  - STAT 820: SAS Programming I
  STAT 835: Categorical Data Analysis
  STAT 840: Linear Regression
  STAT 850: Multivariate Statistics
  STAT 830: Design of Experiments or
  - STAT 880: Data Mining and Analytics

Graduate Certificate In Applied Statistics program guide

Graduate Certificate in Applied Data Science

Extracting, refining, analyzing and delivering data has enormous value in today's Big Data boom. Companies seek employees with highly technical skills and actual hands-on Big Data experience. According to the Bureau of Labor Statistics, jobs in statistics-related fields, including data science, are projected to grow 33 percent by 2026, compared to a projected 7.4 percent average growth for all other careers.

KU’s Graduate Certificate in Applied Data Science can help prepare you for a successful career in this high-demand field. Offered through the KU Medical Center, the certificate complements prior education or careers in business, finance, accounting, marketing, education, mathematics and health care. Take classes online to further your education on your schedule.

Curriculum and requirements

This 15-credit-hour program is a series of five courses designed to equip students with skills in statistical and computational methods for the acquisition and analysis of Big Data. 

Required Courses (15 credit hours)

STAT 823: Introduction to Programming and Applied Statistics in R or
- STAT 820: SAS Programming I
DATA 824: Data Acquisition and Visualization 
STAT 840: Linear Regression
STAT 850: Multivariate Analysis
STAT 880: Data Mining and Analytics or
-DATA 881: Statistical Learning I 

Graduate Certificate In Applied Data Science program guide


Learn More — Request Info
Questions?

Shana Palla, MS
Assistant Director of Graduate Education
Department of Biostatistics & Data Science
(913) 897-8674
Ask a question