Undergraduate Program

Degree Requirement

To earn a Bachelor of Science (B.S.) degree in Statistics and Data Science, students must complete a total of 128 credits. This includes 84 credits of required courses, 16 credits of departmental electives from the Department of Statistics and Data Science, and 28 credits of electives from other departments.

Required Course List

Details of the required courses are provided below.

Required Courses for B.S. degree in Statistics and Data Science (enrollment in 2025)

Course Title

Credit

1styear

2ndyear

3rdyear

4thyear

Remarks

F

S

F

S

F

S

F

S

Fundamental Courses: 12 credits

 Foreign Language (Q)

8

2

2

2

2

       

Four credits for English  and four credits for  other foreign languages

 Ability of Expressing in Spoken and  

 Written Chinese

2

                 

Learning in University

1

1

             

Learning and   Development (N)

Learning and Practice of Clubs:

An introduction

1

 

1

             

General Education and Core Courses: 12 credits

(7 credits as required, 5 credits as selective)

Exploring Sustainability

1

1

               

Appreciation of Chinese Literature (L)

2

               

 Humanities Field:

 2 Credits required

 (1 out of 4 categories)

History Studies (P)

2

               

Philosophy and Religion (V)

2

               

Arts Appreciation and Invention (M)

2

               

Global Outlook (T)

2

               

 Social Field:

2 Credits required

(1 out of 4 categories)

Futures Studies (R)

2

               

Social Analysis (W)

2

               

Civil Society and Participation (S)

2

               

Information Education (O)

2

               

Scientific Field:

2 Credits required

(1 out of 3 categories)

Global Technology Revolution (Z)

2

               

Natural Sciences (U)

2

               

Other

Physical Education

4

1

1

1

1

       
Not counted towards graduation credits

All-Out Defense Education Military Training(I)—National Defense Technology

1

1

 

           
Not counted towards graduation credits

Campus and Community Service-Learning

2

1

1

           
 

Professional Courses: 58 credits

Digital Technology and AI Application

4

2

2

           

Two credits of Information

Education can be waived.

Statistics

4

4

               

Advanced Statistics

4

 

4

             

Calculus

4

2

2

               

Economics

4

2

2

             

Accounting

4

2

2

             

Management

3

3

               

Introduction to Probability Theory

4

   

2

2

         

Linear Algebra

4

   

2

2

         

SAS Programming

3

   

3

           

R Programming

3

     

3

         

Survey Sampling

3

   

3

           

Design of Experiments

3

     

3

         

Mathematical Statistics

6

       

3

3

     

Regression Analysis

3

       

3

       

Multivariate Analysis

3

       

3

       

Machine Learning

3

         

3

     

 

Courses Tree

The diagram shows how the undergraduate courses are organized. An arrow from course A to course B means that usually course A should be taken before course B. For example, it is common to take Statistics and then follow it up with Advanced Statistics, or to take Regression Analysis and then follow it up with Time Series, Categorical Data Analysis, Multivariate Analysis, and Survival Analysis.

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