School of Big Data Management

Class Schedule of Master Degree Program

Subject

Subject Type

Credit

1st    Year

S1        S2

2nd     Year

S1         S2

Remarks

 

 

 

 

Required Subject

Thesis

R

 

 

 

 

 

 

Big Data Management

R

3

3

 

 

 

 

Big Data Analytics

R

3

3

 

 

 

 

Research Methods

R

2

 

2

 

 

 

Special Subject on Big Data Application

R

3

 

3

 

 

 

Professional Practice

R

3

 

 

3

 

 

Seminar

R

1

1

 

 

 

 

 

 

 

 

 

 

 

 

Elective Subject

Data Analysis Software and Application

E

3

3

 

 

 

Basic Elective Subject

(Choose three from the five)

Multivariate statistical Analysis

E

3

 

3

 

 

Data Mining

E

3

 

3

 

 

Text Mining and Natural Language Processing

E

3

 

 

3

 

Operation Research

E

3

 

 

 

3

Data Visualization

E

3

3

 

 

 

Data Technology Domain

(choose two at least)

Software Engineering

E

3

3

 

 

 

Artificial Intelligence

E

3

 

3

 

 

Machine Learning

E

3

 

3

 

 

Multimedia Information Retrieval and Processing

E

3

 

 

 

3

Business Intelligence

E

3

 

3

 

 

Data Application Domain

(choose 2 at least)

Social Network Analysis

E

3

 

3

 

 

Internet of Things

E

3

 

 

3

 

Financial Technology

E

3

 

 

3

 

Big Data in Medicine

E

3

 

 

 

3

 

Graduate Credit Totals

Required

15

Elective

21

Total

36

Note. R = required subject.  E = elective subject.  S1 = first semester.  S2 = second semester.

 

 

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