Doctoral Program
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.

There are five main fields of study that the program offers. They are
1. Business Analytics and Research;
2. Operations Research;
3. Population and Development;
4. Quantitative Risk Management; and
5. Statistics.

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.

Program Tracks

The program offers students opportunities to pursue their Ph.D. Degree with two types of study plan.

Type 1: Dissertation only (48 credits)
This is a research track and intended for an applicant with a Master’s Degree in the relevant field of study, strong academic records and research backgrounds. At present, all fields of study except Statistics offer only this track.

Type 2: Coursework and dissertation (54 credits)
This plan is for an applicant with a Master’s Degree and strong academic background.

Graduation Requirements

English: Before graduation, must achieve TOEFL score of at least 530 (or an equivalent score)
Grades: A cumulative grade point average of 3.00 or better for the Type 2 study plan.
Qualifying Examination: Pass within the 2nd and the 3rd academic year for the Type 1 and the Type 2 study plans, respectively.
Dissertation:

  • Pass a dissertation proposal examination within a required timeframe.

  • Must register for dissertation work, after passing proposal examination, every semester and report the progress to the doctoral program committee for evaluation.

  • Pass the final oral examination on the defense of dissertation.

  • Complete a written document acceptable to the dissertation committee and in the form approved by NIDA.

Publication: At least one paper drawn from his/her dissertation published in a peer-reviewed journal or any other academic publications of acceptable standards.

Admission

The general admission requirements are:

1. A Master’s Degree in related or some other quantitative based disciplines from an accredited institution;
2. A satisfactory scholastic average, usually a minimum GPA of 3.00 on a 4.00 scale; and
3. A good proficiency in English.

In addition, student communication skills and preparation will be assessed in an interview with the Admissions Committee.

The following materials are required to be considered for admission:

1. A completed application form;
2. Official and certified university transcript(s);
3. Two letters of recommendation;
4. Official TOEFL score report or equivalent score report or other evidence of English proficiency (not older than 5 years) in accordance with NIDA Policy; and
5. A dissertation proposal, mandatory for an applicant in the Type 1 study plan

Application forms can be obtained from the NIDA’s Academic Affairs or the School’s website (http://as.nida.ac.th)

Application Deadlines

Application deadlines follow those of NIDA’s admission schedules. However, followings are the general time frame to submit the application materials for each semester enrollment.

First Semester Enrollment
Approximately in March
Second Semester Enrollment
Approximately in August

Financial Supports
The program offers a number of full and half tuition fee exemption scholarships with stipends for outstanding students. In addition, teaching and research assistantships are awarded for qualified students.

Facilities
Classes are held at the School of Applied Statistics, NIDA. Teaching facilities include classrooms equipped with modern audio-visual equipments, Computer laboratory, and software dedicated for Ph.D. research. Students have access to the campus library, which has an extensive collection of books, documents, journals and other AV devices, of more than 200,000 items.

Contact Address
Director of Doctoral Program in Applied Statistics School of Applied Statistics
118 Seri Thai Road, Klong Chan, Bangkapi,Bangkok 10240, Thailand.
Telephone : (662) 377-5381
(662) 727-3037-9
Facsimile : (662) 374-4061
Email : edu@as.nida.ac.th