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Doctoral Program in Computer Science and Technology

1. Introduction

The School of Computer Science and Engineering at NUST consists of several teaching and research departments and laboratories, namely the Department of Computer Science and Technology, the Department of  Software Engineering, the Department of  Intelligent Science and Technology, the Department of Digital Media Theory and Engineering, the Department of Computer Network and Communication Technology, the Computer Science and Engineering Experimental Center, the Computer Application Institute, the Information Processing and Security Technology Institute, and the Intelligent Robotics Institute. The school also owns the Ministry-of-Education Key Laboratory of "Intelligent Perception and Systems for High-Dimensional Information", and the Jiangsu Key Laboratory of Image and Video Understanding for Public Safety.

The school has a national key discipline in "Pattern Recognition and Intelligent Systems", two Jiangsu provincial key disciplines in “Computer Science and Technology” and "Software Engineering". We own primary discipline doctoral programs in "Computer Science and Technology" and "Software Engineering", and secondary discipline doctoral program in "Pattern Recognition and Intelligent Systems" and the corresponding post-doctoral workstations. We also provide master programs in "Computer Science and Technology", "Pattern Recognition and Intelligent Systems", "Software Engineering", and "Biomedical Engineering". The school's programs are supported by the national "985" Project innovation Platform.

2. Research Directions

(1)     Pattern recognition and intelligent system

(2)     Computer science and technology

(3)     Software engineering

3. Duration of studies

Full time PhD students are expected to complete their studies and earn their degrees in 4 to 8 years, and they will be disqualified from the program after 8 years.

4. Credits requirements

Students are required to complete at least 18 degree credits from courses in Section 5 with a minimum of 16 coursework credits and 2 obligatory courses.

5. Curriculum

Course No.

Course Name

Semester

Credits

I. Fundamental Courses

4

L371A002

Chinese

Fall

2

L371A003

Introduction to Chinese Classics

Fall

2

II. Core Courses

6+

L113A010

Matrix Analysis and Computation

Fall

3

L113A011

Manifolds

Spring

2

B106B002

Advanced System Software Theory and Technologies

Spring

2

S106C006

Machine Learning

Fall

2

III. Major Electives

4+

L106C008

Information Security and Applied Cryptography

Fall

2

L106C007

Computer Vision

Fall

2

L106C009

Pattern Recognition

Spring

2

B106C002

Services Computing and Business Process Management(II)

Spring

2

IV. Thesis Credits

L0000003

Dissertation Proposal II

Fall

2

L0000004

Academic Activities II

Spring

Total Credits Required

18+

NOTE: Graduate students are usually expected to meet the course requirements in the first academic year, including: I. Fundamental Courses, II. Core Courses, and sufficient elective courses in III. Major Electives.

6. PhD Dissertation Topic and Research Proposal

PhD dissertation proposal should be no less than 10000 words long and has at least 80 references, half of which must be published in the recent 5 years. A PhD student should choose a research topic for the PhD dissertation and spend no less than 2 years on the dissertation research and writing, all under an advisor’s guidance.

Detailed regulations and requirements on PhD dissertation are documented in the "NJUST Regulations about the Topic Selection, Research Proposal and Composition of Postgraduate Theses and Dissertations". The PhD dissertation research proposal writing and defense should be completed in no later than the second academic year of the program.

7. Publication

To meet the degree requirements, a PhD student is required to have a certain number of academic publications related to the dissertation research. Detailed requirements are documented in "NUST regulations on a postgraduate’s publications of their research work".

8. PhD Dissertation Requirements

Detailed regulations and requirements on PhD dissertation are documented in the "NJUST Regulations about the Topic Selection, Research Proposal and Composition of Postgraduate Theses and Dissertations", and "NUST Style Sheet for Theses and Dissertations". For a joint effort with others, or a follow-up of previous work, the student should clearly specify his/her contribution to the thesis.


Master Program in Computer Science and Technology

1. Introduction

The School of Computer Science and Engineering consists of several teaching and research departments and laboratories, namely the Department of Computer Science and Technology, the Department of  Software Engineering, the Department of  Intelligent Science and Technology, the Department of Digital Media Theory and Engineering, the Department of Computer Network and Communication Technology, the Computer Science and Engineering Experimental Center, the Computer Application Institute, the Information Processing and Security Technology Institute, and the Intelligent Robotics Institute. The school also boasts the national Key Laboratory of Intelligent Perception and Systems for High-Dimensional Information founded by the Ministry of Education, and the provincial Key Laboratory of Image and Video Understanding for Public Safety of Jiangsu.

The school has one national key discipline in Pattern Recognition and Intelligent Systems, two Jiangsu provincial key disciplines in Computer Science and Technology, and Software Engineering. We offer primary discipline doctoral programs in Computer Science and Technology and Software Engineering, and secondary discipline doctoral program in Pattern Recognition and Intelligent Systems and the corresponding post-doctoral workstations. We also provide master programs in Computer Science and Technology, Pattern Recognition and Intelligent Systems, Software Engineering, and Biomedical Engineering. The school's programs are supported by the National "985" Project Innovation Platform.

2. Research Directions

(1)     Pattern recognition and intelligent system

(2)     Computer architecture

(3)     Computer software and theory

(4)     Computer application technology

(5)     Intelligent computing and system

(6)     Intelligent robot

(7)     Biomedical engineering

(8)     Software engineering and methodology

(9)     Service science and software architecture

(10) Applied software engineering

3. Duration of studies

Full time master students are expected to complete their studies and earn their degrees in 2.5 to 5 years, and they will be disqualified from the program after 5 years.

4. Credits requirements

Students are required to complete at least 28 degree credits from courses in Section 5 with a minimum of 26 coursework credits and 2 obligatory courses.

5. Curriculum

Course No.

Course Name

Semester

Credits

I. Fundamental Courses

6

L371A001

Chinese I

Fall

4

L371A003

Introduction to Chinese Classics

Fall

2

II. Core Courses

8+

L113A010

Matrix Analysis and Computation

Fall

3

L113A002

Applied Statistics

Fall

2

S106C004

Fundamentals of Image Analysis

Fall

2

S106B002

Distributed Systems

Spring

2

S106B005

The Formal Semantics of Program

Fall

2

L106B001

Principles and Methods of Artificial Intelligence

Fall

2

III. Major Electives

8+

L106C002

Digital Signal Processing

Fall

2

L106C004

Pattern Recognition Technology

Spring

2

S106C005

Services Computing and Business Process Management(I)

Spring

2

L106C003

Formal Specification and Testing of Software

Spring

2

L106C006

The Architectures and Protocols of the Next-Generation Internet

Spring

2

L106C001

Data Mining & Big Data Analysis

Fall

2

L106C005

Software Evaluation and Copyright Protection

Spring

2

S106C007

Trusted Computing Technologies

Spring

2

IV. Thesis Credits

L0000001

Thesis Proposal

Fall

2

L0000002

Academic Activities

Spring

Total Credits Required

28+

NOTE: Graduate students are usually expected to meet the course requirements in the first academic year, including: I. Fundamental Courses, II. Core Courses, and sufficient elective courses in III. Major Electives.

6. Thesis Topic and Proposal

A master student is supposed to choose his/her research direction under an advisor’s guidance. The student should actively study, research and survey in the chosen research direction. The student is expected to choose a research topic for the postgraduate thesis and confirm the significance of the topic in a thesis proposal. The thesis proposal should be submitted and defended at the beginning of the second year of study.

Detailed regulations and requirements on master's thesis can be found in the "NJUST Regulations about the Topic Selection, Research Proposal and Composition of Postgraduate Theses and Dissertations".

7. Publication

Before graduation, each master student should have at least one academic paper published or accepted for publication. Detailed requirements are documented in "NUST regulations on a postgraduate’s publications of their research work".

8. Degree Thesis Requirement

MA Degree thesis is one of the most important parts for graduate education, which provides students with training on academic research or specific technology application, enhances students’ abilities to innovate and to apply the knowledge to their research, and encourages them to discover, analyze and solve problems in their fields.

Detailed regulations and requirements on master's thesis are documented in the NJUST Regulations about the Topic Selection, Research Proposal and Composition of Postgraduate Theses and Dissertations”, and "NUST Style Sheet for Theses and Dissertations". For a joint effort with others, or a follow-up of previous work, the student should clearly specify his/her contribution to the thesis.

 

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