Curriculum | MS Stat Data Science

Curriculum

M.Sc. in Statistics: Data Science

With an increasing demand on data analysts and data scientists, M.Sc. in Statistics has modified its original program into a program with a right combination of theory and practical component. The M.Sc. in Statistics is offered through both full-time and part-time programs.

 

Full-time Program (Plan A – Thesis Option)

Class schedule: Monday – Friday, 9AM – 4PM*
Tuition fee: 24,500 Baht per semester (2 semesters per 1 academic year)
Program Code: 3134
*Class schedule is subject to change due to the agreement of both instructor and students.

 

Part-time Program (Plan B - Special Project Option)

Class schedule: Monday – Friday, 6PM – 9PM and Saturday, 9AM – 4PM*
Tuition fee: 69,500 Baht per semester (2 semesters per 1 academic year)
*Class schedule is subject to change due to the agreement of both instructor and students.

 

  Full-time
(Plan A)
Part-time
(Plan B)
Total Credits 36 36
Coursework    
     - Core 15 15
     - Elective (Group 1) 3 3
     - Elective (Group 2) 6 6
     - Elective (Any) - 9
Thesis 12 -
Special Project - 3
Comprehensive Exam No Yes
Work experience Not required 1 year minimum

 

Coursework

Core Courses: Foundation (15 Credits)

Course Number Course Title Credit
2603602  Theory of Probability 3
2603603 Statistical Inference 3
2603633 Data Management for Statistical Application 3
2603645 Applied Statistical Model 3
2603646 Data Visualization 3

 

Elective Courses (Group 1): Data Acquisition

Course Number Course Title Credit
2603604  Theory of Sample Surveys 3
2603607 Advanced Experimental Designs 3
2603642 Statistical Computation and Simulation 3
2603647 Fundamental Programming for Data Science 3

 

Elective Courses (Group 2): Statistical Analysis and Data Science

Course Number Course Title Credit
2603536 Theory of Statistical Learning 3
2603537 Reinforcement Learning 3
2603605 Theory of Linear Models 3
2603606 Multivariate Analysis 3
2603616 Nonparametric Statistics 3
2603630 Time Series Analysis 3
2603637 Machine Learning 3
2603638 Stochastic Processes 3
2603640 Decision Analysis 3
2603641 Statistical Analysis for Categorical Data 3
2603648 Bayesian Analysis 3
2603675 Survival Models 3
2603693 Advanced Data Science Practicum 3
2603695 Special Topics in Statistics 3
2604617 Modelling for Alogorithmic Trading 2
2604620 Credit Risk Modeling 2
2605649 Digital Marketing 3

 

Plan of Study

Full-time
(Plan A)
Part-time
(Plan B)
Fall Semester, Year 1
2603602 Theory of Probability     3     2603602  Theory of Probability     3   
2603646 Data Visualization     3 2603646 Data Visualization     3
2603633 Data Management for Statistical Application     3 2603633 Data Management for Statistical Application     3
Spring Semester, Year 1
2603603  Statistical Inference     3 2603603 Statistical Inference     3
2603645 Applied Statistical Model     3 2603645 Applied Statistical Model     3
  Elective course (Group 1)     3   Elective course (Group 1)     3
Fall Semester, Year 2
  Elective course (Group 2)     3   Elective course (Group 2)     3
  Elective course (Group 2)     3   Elective course (Group 2)     3
        Elective course (Any)     3
Spring Semester, Year 2
2603811 Thesis    12 2603698 Master Project     3
        Elective course (Any)     3
        Elective course (Any)     3
      2603896 Comprehensive Exam     3

 

Course Description

Course Description (Click here)