Curriculum

M.Sc. in Statistics and Data Science

With an increasing demand on data analysts and data scientists, M.Sc. in Statistics and Data Science has modified its original program into a program with a right combination of theory and practical component. The M.Sc. in Statistics and Data Science 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 18 18
     - Elective 6 15
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
2603572 Big Data Computing 3
2603602  Theory of Probability 3
2603603 Statistical Inference 3
2603645 Applied Statistical Model 3
2603646 Data Visualization 3
2603655 Data Acquisition and Preparation 3

 

Elective Courses (Group 1): Data Science

Course Number Course Title Credit
2603520  Deep Learning 3
2603536 Theory of Statistical Learning 3
2603537 Reinforcement Learning 3
2603637 Machine Learning 3
2603693 Advanced Data Science Practicum 3

 

Elective Courses (Group 2): Statistical Analysis

Course Number Course Title Credit
2603604  Theory of Sampling Surveys 3
2603606 Multivariate Analysis 3
2603607 Advanced Experimental Designs 3
2603630 Time Series Analysis 3
2603638 Stochastic Processes 3
2603642 Statistical Computation and Simulation 3
2603648 Bayesian Analysis 3

 

Elective Courses (Group 3): Business

Course Number Course Title Credit
2603521  Data Science for Business Analytics 3
2603522 Recommender System 3
2603538 Data Science Approach to Portfolio Optimization 3
2603539 Machine Learning in Risk Analytics 3
2603695 Special Topics in Statistics 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
2603655 Data Acquisition and Preparation     3 2603655 Data Acquisition and Preparation     3
Spring Semester, Year 1
2603603  Statistical Inference     3 2603603 Statistical Inference     3
2603645 Applied Statistical Model     3 2603645 Applied Statistical Model     3
2603572 Big Data Computing     3 2603572 Big Data Computing     3
Fall Semester, Year 2
  Elective course     3   Elective course     3
  Elective course     3   Elective course     3
        Elective course     3
      2603896 Comprehensive Exam 3
Spring Semester, Year 2
2603811 Thesis    12 2603698 Master Project     3
        Elective course     3
        Elective course     3

 

Course Description

Course Description (Click Here)