Master of Science Program in Applied Statistics (Statistics : STAT)

The Meaning of Statistics

Statistics is the number that represents the fact such as the statistics of Facebook users during the last week, the statistics on imported goods in the past year, and the annual statistics of land transport accidents.

Statistics can refer to analytical tools and techniques known as statistical methods. Therefore, statistics is scientific methods executing the target data in a systematic way and consisting of 4 processes, which are:

  • Data Collection
  • Data Analysis
  • Data Interpretation
  • Data Presentation

Statistics can also refer to the number results from the sample data calculation such as mean, median, mode, and standard deviation.

Statistics can be defined as the course or science, which has been systematically developed and widely taught in educational institutions. Statistics has a wide scope and also involves many other sciences including psychology, economics, business administration, education, humanities, and social sciences.

Why Study Statistics at NIDA

  1. The course is advanced and can be applied to actual work.
  2. The faculty members are national and internationally qualified experts in statistics.
  3. After graduation, students will obtain skills and capabilities to efficiently apply statistical methods to decision making and organizational management.
  4. Statistics major students graduating from NIDA are proven to have high proficiency in statistics and preferred by various organizations in Thailand, which still have a distinct lack of statistical personnel.

Job Opportunity

NIDA statistics graduates have never been unemployed. The most popular career choices are teachers, higher education lecturers, statisticians in governmental and private agencies, educators, researchers, statistical data analysts, policy and planning analysts, production planning officers, data mining analysts, entrepreneurs, and organizational and higher education consultants.

Course Structure

Students are required to complete at least 36 credits by selecting either plan A (Thesis) or plan B (Non-Thesis). The duration of study is 2 years or not more than 5 years. Courses are offered on Saturdays and Sundays so that students can normally work on weekdays. The courses in statistics program are listed below.

Preliminary Courses (9-12 credits)

  • English (regular program 6 credits, special program 3 credits)
  • Mathematics for Applied Statistics
  • Database and Statistical Programming

Major Courses (24 credits)

  • Theory of Probability and Applications
  • Statistical Inference
  • Sampling Techniques
  • Experimental Designs
  • Regression Analysis
  • Applied Multivariate Analysis
  • Applied Nonparametric Statistical Analysis
  • Statistical Consulting and Presentation

Core Courses (6 credits)

  • Statistical Analysis
  • Statistical Information Technology

Thesis (12 credits) Or Elective Course (9 credits)
Independent Study (3 credits)