Mark Arnold
Program Director
301 Science Engineering Building
479-575-3351
E-mail: arnold@uark.edu
Degree Conferred:
M.S. (STANMS)
Graduate Certificate Offered:
Graduate Certificate in Statistics and Analytics (STANGC) (Nondegree)
Program Description: The Graduate Certificate and M.S. degree in Statistics and Analytics are cross-college interdisciplinary programs that build on the university's current strengths in the Colleges of Arts and Sciences; Business; Education and Health Professions; and Engineering. Students may choose one of six concentrations: Statistics; Biological Analytics, Business Analytics; Operations Analytics; Computational Analytics; Educational Statistics & Psychometrics; or Quantitative Social Sciences.
Primary Areas of Faculty Research: Statistics and statistical analysis and design methodologies in business analytics, operations analytics, computational analytics, educational statistics and social science research.
Admission to the Master's Program: In addition to the requirements of the Graduate School, applicants for admission to the M.S. program in Statistics and Analytics must submit a) three letters of recommendation from persons familiar with the applicant’s previous academic and professional performance and b) official test scores as specified for the applicant’s area of interest.
Requirements for the Master of Science (M.S.) Degree
Requirements for the master's degree are fulfilled through one of the following seven concentrations. Students should also be aware of Graduate School requirements with regard to master's degrees.
Requirements for Concentration in Biological Analytics
| Undergraduate Deficiencies | ||
| Calculus I (ACTS Equivalency = MATH 2405) | ||
| Linear Algebra | ||
| Core | ||
| Requirements include one course from each of these areas as approved by the student’s advisory committee: Statistical Methods, Regression Analysis, Multivariate Analysis, Experimental Design | 12 | |
| Required Courses | ||
| CSCE 5013 | Advanced Special Topics in Computer Science or Computer Engineering (taken as introduction to cluster computing) | 3 |
| BIOL 5153 | Practical Programming for Biologists | 3 |
| ISYS 5723 | Advanced Multivariate Analysis | 3 |
| Choose from one of the following options: | 9 | |
9 additional hours of electives | ||
3 hours of electives, 6 hours of thesis credit, and submission of an acceptable thesis | ||
| Written comprehensive exam (non-thesis) or defense of the thesis | ||
| Total Hours | 30 | |
Requirements for Concentration in Business Analytics
| Undergraduate Deficiencies | ||
| Calculus I (ACTS Equivalency = MATH 2405) | ||
| Core | ||
| Requirements include one course from each of these areas as approved by the student’s advisory committee: Statistical Methods, Regression Analysis, Multivariate Analysis, Experimental Design | 12 | |
| Required Courses | ||
| ISYS 511V | IT Toolkit & Skills Seminar | 3 |
| ISYS 5833 | Data Management Systems | 3 |
| ISYS 5843 | Seminar in Business Intelligence and Knowledge Management | 3 |
| Choose one of the following options: | 9 | |
9 hours of electives | ||
3 hours of electives and 6 hours of thesis credit and submission of an acceptable thesis. | ||
| Written comprehensive exam (non-thesis) or defense of the thesis. | ||
| Total Hours | 30 | |
Requirements for a Concentration in Computational Analytics
| Undergraduate Deficiencies | ||
| Calculus I (ACTS Equivalency = MATH 2405) | ||
| Linear Algebra | ||
| Algorithms | ||
| Core | ||
| Requirements include one course from each of these areas as approved by the student’s advisory committee: Statistical Methods, Regression Analysis, Multivariate Analysis, Experimental Design. | 12 | |
| Required Courses | ||
| CSCE 4523 | Database Management Systems | 3 |
| Two of the following: | 6 | |
| Artificial Intelligence | ||
| Choose one of the following options: | 9 | |
9 hours of electives | ||
3 hours of electives, 6 hours of thesis credit and submission of an acceptable thesis | ||
| Written comprehensive exam (non-thesis) or defense of the thesis | ||
| Machine Learning | ||
| Data Mining | ||
| Total Hours | 30 | |
Requirements for Concentration in Educational Statistics and Psychometrics
| Undergraduate Deficiencies | ||
| Calculus I (ACTS Equivalency = MATH 2405) | ||
| Linear Algebra | ||
| Core | ||
| Requirements include one course from each of these areas as approved by the student’s advisory committee: Statistical Methods, Regression Analysis, Multivariate Analysis, Experimental Design | 12 | |
| Required Courses | ||
| ESRM 5653 | Educational Assessment | 3 |
| ESRM 6653 | Measurement and Evaluation | 3 |
| ESRM 6753 | Item Response Theory | 3 |
| ESRM 699V | Seminar (as approved by the student's advisory committee) | 3 |
| Choose one of the following options: | 9 | |
9 hours of electives as approved by the student's advisory committee | ||
3 hours of electives, 6 hours of thesis credit, and submission of an acceptable thesis | ||
| Written comprehensive exam (non-thesis) or defense of the thesis | ||
| Total Hours | 33 | |
Requirements for Concentration in Operations Analytics
| Undergraduate Deficiencies | ||
| Calculus I (ACTS Equivalency = MATH 2405) | ||
| Linear Algebra | ||
| Introduction to Probability | ||
| Core | ||
| Requirements include one course from each of these areas as approved by the student’s advisory committee: Statistical Methods, Regression Analysis, Multivariate Analysis, Experimental Design | 12 | |
| Required Courses | ||
| INEG 5613 | Introduction to Optimization Theory | 3 |
| INEG 5803 | Simulation | 3 |
| One of the following: | 3 | |
| Seminar in Business Intelligence and Knowledge Management | ||
| Data Mining | ||
| Choose one of the following options: | 9 | |
9 hours of electives | ||
3 hours of electives, 6 hours of thesis credit and submission of an acceptable thesis | ||
| Written comprehensive exam (non-thesis) or defense of the thesis | ||
| Total Hours | 30 | |
Requirements for a Concentration in Quantitative Social Science
| Undergraduate Deficiencies | ||
| Calculus I (ACTS Equivalency = MATH 2405) | ||
| Linear Algebra | ||
| Introduction to Probability | ||
| Core | ||
| Requirements include one course from each of these areas as approved by the student’s advisory committee: Statistical Methods, Regression Analysis, Multivariate Analysis, Experimental Design. | 12 | |
| Required Courses | ||
| ISYS 5723 | Advanced Multivariate Analysis | 3 |
| ECON 4753 | Forecasting | 3 |
| ECON 6623 | Econometrics II | 3 |
| ECON 6633 | Econometrics III | 3 |
| Choose one of the following options: | 6 | |
| 6 hours of electives to include two of the following: cost benefit analysis; GIS and spatial analysis; multilevel modeling; social network analysis | ||
6 hours of thesis credit and submission of an acceptable thesis | ||
| Written comprehensive exam (non-thesis) or defense of the thesis | ||
| Total Hours | 30 | |
Requirements for Concentration in Statistics
| Undergraduate Deficiencies | ||
| Calculus II (ACTS Equivalency = MATH 2505) | ||
| Linear Algebra | ||
| Programming Foundations II | ||
| Core | ||
| Requirements include one course from each of these areas as approved by the student’s advisory committee: Statistical Methods, Regression Analysis, Multivariate Analysis, Experimental Design | 12 | |
| Required Courses | ||
| STAT 5103 | Introduction to Probability Theory | 3 |
| STAT 5113 | Statistical Inference | 3 |
| STAT 5333 | Analysis of Categorical Responses | 3 |
| STAT 639V | Topics in Statistics | 3 |
| Choose one of the following options: | 6 | |
6 hours of electives | ||
6 hours of thesis credit and submission of acceptable thesis | ||
| Written comprehensive exam (non-thesis) or defense of thesis | ||
| Total Hours | 30 | |
Graduate Certificate in Statistics and Analytics (STAN)
Requirements for the Graduate Certificate in Statistics and Analytics:
| The Graduate Certificate requires 12 hours of courses as specified below. | ||
| Choose one of the following: | 3-4 | |
| Statistical Methods and Statistics Methods Laboratory | ||
| Educational Statistics and Data Processing | ||
| Decision Support and Analytics | ||
| Research Methods in Political Science | ||
| Inferential Statistics for Psychology | ||
| Advanced Social Research | ||
| Choose one of the following: | 3 | |
| Regression Analysis | ||
| Applied Regression Analysis for Engineers | ||
| Multivariate Analysis | ||
| Advanced Research Methods in Political Science | ||
| Advanced Descriptive Statistics for Psychology | ||
| Applied Data Analysis | ||
| Choose one of the following: | 3 | |
| Methods of Multivariate Analysis | ||
| Advanced Multivariate Analysis | ||
| Applied Multivariate Statistics | ||
| Choose one of the following: | 3 | |
| Experimental Design | ||
| Design of Industrial Experiments | ||
| Experimental Design in Education | ||
| Total Hours | 12 | |
