Ph.D. in Applied Statistics
(International Program)

Overview

The Ph.D. program in Applied Statistics emphasizes the theory of Statistics as well as its application to certain academic disciplines, across science and social science. It provides training to prepare graduate students for both academic and professional careers in the rapid growing fields of statistics and data analytics. This flexible and research intensive program is designed to serve a broad range of statistics/quantitative-driven fields, from academia to research based business, industrial, and governmental settings.

The best choice of a field in which to pursue depends on a student’s background and major interest. Prospective students should consult the director/coordinator of Doctoral Program in Applied Statistics for details related to the field of study.

All the faculties are deeply committed to teaching and research qualities. They have published articles in academic journal, both locally and internationally. In addition, the School of Applied Statistics has a reputation for outstanding consulting services. Its members have worked and consulted for a wide range of organizations.

Why an Applied Statistics Ph.D. at NIDA?

This program is the first graduate program in applied statistics in Thailand. Therefore, it is taught by highly qualified professors with high experiences in applied statistics. Moreover, students will have a good opportunity to work closely with faculty members in small classes, seminars, research projects, and other activities, aimed to develop analytical skills and competencies to conduct independent quality research. Last but not least, the program is able to draw on the extensive computer/technology-related expertise of faculty, since it is housed in the same school with the program in Computer Science and Information Systems.

Major

Statistics
Quantitative Risk Management
Business Analytics and Research
Operations Research
Population and Development

(1) Remedial Courses

Students in Plan 1.1 and 2.1 are subjected to take remedial course in English as non credit in following courses;

LC 4003 Advanced Integrated English Language Skills Development 3(3-0-6)

LC 6000 Advanced Reading and Writing in English for Graduate Studies 3(3-0-6)

Remark

1. The condition on exemption in remedial courses is in accordance with the announcement of the school / the institute except the condition on exemption in remedial courses in English which is in accordance with the condition of the curriculum of English course for graduate students.
2. In case of any change / improvement of the curriculum of English courses for graduate students, the conditions of remedial courses in English must change accordingly.

(2) Core Course

Students in Plan 2.1of each major must enroll in the core course for 3 credits as follows;

AS 6050 Research Methodology 3(3-0-6)

(3) Major Courses

Students of Plan 2.1 in each major must enroll in major courses for 12 credits as follows;

Major Courses in Statistics

AS 7150 Mathematical Methods for Statistics 3(3-0-6)

AS 7151 Foundations of Probability 3(3-0-6)

AS 7152 Advanced Statistical Inference I 3(3-0-6)

AS 7153 Linear Models 3(3-0-6)

Major Courses in Actuarial Science and Quantitative Risk Management

AS 7250 Theory of Actuarial Mathematics 3(3-0-6)

AS 7251 Advanced Loss Distribution and Modeling 3(3-0-6)

AS 7252 Advanced Quantitive Risk Management Analytics 3(3-0-6)

AS 7253 Statistical Modeling in Finance, Actuarial Sciences, 3(3-0-6)

and Risk Management

Major Courses in Business Analytics and Intelligence

AS 7350 Marketing Models 3(3-0-6)

AS 7351 Predictive Modeling in Finance 3(3-0-6)

AS 7352 Business Information Visualization 3(3-0-6)

AS 7353 Advanced Big Data Management 3(3-0-6)

Major Courses in Industrial Statistics, Operations Research, and Logistic Systems

AS 7450 Advanced Transportation Modeling 3(3-0-6)

AS 7451 Logistics Systems Analysis 3(3-0-6)

AS 7452 Stochastic Processes & Reliability Models 3(3-0-6)

AS 7453 Optimization and Applied Operations Research Models 3(3-0-6)

Major Courses in Population and Policy Research Methods for Development

AS 7550 Life Table and Projection Techniques for Population 3(3-0-6)

and Policy Research

AS 7551 Population and Development I 3(3-0-6)

AS 7552 Thoeries and Models for Project/Program Evaluation 3(3-0-6)

AS 7553 Advanced Poll and Public Opinion Survey Methodology 3(3-0-6)

(4) Elective Courses

Students of Plan 2.1 in each major must enroll in elective course for 9 credits as follows;

Elective Courses in Statistics

AS 7161 Advanced Statistical Inference II 3(3-0-6)

AS 7162 Computer Intensive Statistics 3(3-0-6)

AS 7163 Theory of Multivariate Statistics 3(3-0-6)

AS 7164 Theory of Nonparametric Statistics 3(3-0-6)

AS 7165 Applied Time Series Analysis 3(3-0-6)

AS 7166 Statistical Computing 3(3-0-6)

AS 7167 Bayesian Analysis 3(3-0-6)

AS 7168 Categorical Data Analysis 3(3-0-6)

AS 7169 Survival Analysis 3(3-0-6)

AS 7170 Simulation and Monte Carlo Techniques 3(3-0-6)

AS 7171 Sampling Theory 3(3-0-6)

AS 7172 Advanced Experimental Designs 3(3-0-6)

Elective Courses in Actuarial Science and Quantitative Risk Management

AS 7261 Advanced non-Life Insurance Mathematics 3(3-0-6)

AS 7262 Advanced Life Insurance Mathematics 3(3-0-6)

AS 7263 Quantitative Equity Portfolio Management 3(3-0-6)

AS 7264 Advanced Risk Theory 3(3-0-6)

AS 7265 Simulation Methods and Stochastic Process for Finance, 3(3-0-6)

Actuarial Sciences and Risk Management

AS 7266 Financial Time Series Analysis 3(3-0-6)

Elective Courses in Business Analytics and Intelligence

AS 7361 Modeling Techniques in Marketing Decision 3(3-0-6)

AS 7362 Advanced Analytics and Data Mining Applications 3(3-0-6)

AS 7363 Advanced Human Resource Analytics 3(3-0-6)

AS 7364 Advanced Customer Relationship Management Analytics 3(3-0-6)

AS 7365 Theories and Practices in Social Network and Media Analysis 3(3-0-6)

AS 7366 Theories and Practices in Spatial Data Analysis 3(3-0-6)

AS 7552 Thoeries and Models for Project/Program Evaluation 3(3-0-6)

AS 7553 Advanced Poll and Public Opinion Survey Methodology 3(3-0-6)

AS 7567 Policy Formulation and Futuristic Research Methods 3(3-0-6)

AS 7568 Theories and Practices in System Dynamic Simulation 3(3-0-6)

AS 7569 Qualitative Methods for Policy Research 3(3-0-6)

AS 7370 Meta-Analysis for Applied Research 3(3-0-6)

Elective Courses in Industrial Statistics, Operations Research, and Logistic Systems

AS 7461 Stochastic Process I 3(3-0-6)

AS 7462 Stochastic Process II 3(3-0-6)

AS 7463 Mathematical Programming 3(3-0-6)

AS 7464 Integer Programming 3(3-0-6)

AS 7465 Nonlinear Programming 3(3-0-6)

AS 7466 Quantitative Analysis for Logistics and Supply Chain Management 3(3-0-6)

AS 7467 Advanced Logistics Management 3(3-0-6)

AS 7468 Network Flows 3(3-0-6)

AS 7469 Inventory Theory 3(3-0-6)

AS 7470 Production Planning and Scheduling 3(3-0-6)

Elective Courses in Population and Policy Research Methods for Development

AS 7561 Population and Development II 3(3-0-6)

AS 7562 Theories and Practices in Project Analysis and Feasibility Study 3(3-0-6)

AS 7563 Human Resource Planning and Assessment 3(3-0-6)

AS 7564 Aging Society 3(3-0-6)

AS 7565 Feminism and Development 3(3-0-6)

AS 7566 International Migration and Development 3(3-0-6)

AS 7567 Policy Formulation and Futuristic Research Methods 3(3-0-6)

AS 7568 Theories and Practices in System Dynamic Simulation 3(3-0-6)

AS 7569 Qualitative Methods for Policy Research 3(3-0-6)

AS 7570 Meta-Analysis for Applied Research 3(3-0-6)

AS 7351 Predictive Modeling in Finance 3(3-0-6)

AS 7364 Advanced Customer Relationship Management Analytics 3(3-0-6)

Selected Topics in Applied Statistics Courses

AS 8001 Seminar in Statistics 3(0-6-6)

AS 8002 Seminar in Actuarial Science and Quantitative 3(0-6-6)

Risk Management

AS 8003 Seminar in Business Analytics and Intelligence 3(0-6-6)

AS 8004 Seminar in Industrial Statistics, Operations Research, 3(0-6-6)

AS 8005 Seminar in Population and Policy Research Methods 3(0-6-6)

for Development

AS 8801-8820 Selected Topics in Applied Statistics 3(0-6-6)

Remark

(1) The Elective courses also include other graduate courses offered by the school or others in NIDA (To register for these courses, students must receive approvals from his/her advisor)

(2) Courses opened in each semester will be selected by the school and the institute.

Independent Study

(1) AS 9000 Independent Study 3(0-0-12)

Dissertation

(1) AS 9900 Dissertation 36/48 Credits