Applied Statistics and Data Management

 

Graduate Certificate | Applied Statistics and Data Management

Program Format:   
Entrance Exam: Not required

In this certificate program, students will learn statistical methods and how to apply them in real world settings and about statistical programming techniques that are required for managing data in a typical workplace environment.

In this certificate program, students will learn statistical methods and how to apply them in real world settings and about statistical programming techniques that are required for managing data in a typical workplace environment. The skills learned are critical in many work settings and should enable job changes within or between companies.

ADMISSIONS REQUIREMENTS

The NC State University Graduate School, which oversees the graduate certificate application process, has its own admissions criteria but the Department of Statistics Online Graduate Program has specific admissions requirements as well.

After submitting your Graduate Application for the Applied Statistics and Data Management certificate, you may check the status of your application at any time.  International students must include complete transcripts, a degree statement and TOEFL or IELTS scores.  Applicants should have a minimum 3.0 grade point average. The GRE is not required, but we ask you to upload the scores if you have taken it.

PLAN OF STUDY

In this certificate program, students will learn statistical methods and how to apply them in real world settings and about statistical programming techniques that are required for managing data in a typical workplace environment. The skills learned are critical in many work settings and should enable job changes within or between companies. 

CAREER PROSPECTS

The skills learned in this graduate certificate program are critical in many work settings and should enable job changes within or between companies.

Statistics is being used in many fields these days. Common terms such as “big data,” “data mining,” and “business analytics” are really about statistics. Our Masters Degree and certificates will help you get jobs in the following fields:

A total of 12 credit hours is required
Choose One

ST 511 - Experimental Statistics For Biological Sciences I

Units: 3

Basic concepts of statistical models and use of samples; variation, statistical measures, distributions, tests of significance, analysis of variance and elementary experimental design, regression and correlation, chi-square.

Offered in Fall Spring Summer

Find this course:

2018 Summer Term 1 2018 Fall Term

ST 513 - Statistics for Management I

Units: 3

Analysis of data to represent facts, guide decisions and test opinions in managing systems and processes. Graphical and numerical data analysis for descriptive and predictive decisions. Scatter plot smoothing and regression analysis. Basic statistical inference. Integrated use of computer.

Offered in Fall and Spring

Find this course:

2018 Spring Term 2018 Fall Term

Choose One

ST 512 - Experimental Statistics For Biological Sciences II

Units: 3

Covariance, multiple regression, curvilinear regression, concepts of experimental design, factorial experiments, confounded factorials, individual degrees of freedom and split-plot experiments. Computing laboratory addressing computational issues and use of statistical software.

Offered in Fall Spring Summer

Find this course:

2018 Spring Term 2018 Summer Term 2 2018 Fall Term

ST 514 - Statistics For Management and Social Sciences II

Units: 3

Linear regression, multiple regression and concepts of designed experiments in an integrated approach, principles of the design and analysis of sample surveys, use of computer for analysis of data.

Offered in Spring and Summer

Find this course:

2018 Spring Term 2018 Summer Term 1

Required

ST 555 - Statistical Programming I

Units: 3

An introduction to programming and data management using SAS, the industry standard for statistical practice. Detailed discussion of the program data vector and data handling techniques that are required to apply statistical methods. Topics are based on the current content of the Base SAS Certification Exam and typically include: importing, validating, and exporting of data files; manipulating, subsetting, and grouping data; merging and appending data sets; basic detail and summary reporting; and code debugging. Additional topics with practical applications are also introduced, such as graphics and advanced reporting. Statistical methods for analyzing data are not covered in this course. Regular access to a computer for homework and class exercises is required. Previous exposure to SAS is not expected.

Offered in Fall Spring Summer

Find this course:

2018 Spring Term 2018 Summer Term 1 2018 Fall Term

ST 556 - Statistical Programming II

Units: 3

Statistical procedures for importing/managing complex data structures using SQL, automated analysis using macro programming, basic simulation methods and text parsing/analysis procedures. Students learn SAS, the industry standard for statistical practice. Regular access to a computer for homework and class exercises is required.

Offered in Spring and Summer

Find this course:

2018 Spring Term 2018 Summer Term 2

          Entry Semester Application Deadlines and Details
          Fall07/15/2018
          Summer 103/25/2018
          Summer 205/10/2018

          Dr. Donna Barton

          Online Statistics Program Coordinator

          College of Sciences

          919.515.1916
          online@stat.ncsu.edu