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Master of Technology ( Computer Science & Engineering)

Master of Technology ( Computer Science & Engineering)

Sharda School of Engineering and Technology (SET)

  • Programme Code

    SET0130

  • Level

    Post Graduate

  • Duration

    2 Years

About the Programme

Programme Educational Objectives (PEO)

  • PEO-1 The graduates will establish themselves as professionals by solving real-life problems using exploratory and analytical skills acquired in the field of Computer Science and Engineering.
  • PEO-2 The graduates will provide sustainable solutions to ever changing interdisciplinary global problems through their Research & Innovation capabilities.
  • PEO-3 The graduates will become employable, successful entrepreneur as an outcome of Industry-Academia collaboration. 
  • PEO-4 The graduates will embrace professional code of ethics while providing solution to multidisciplinary social problems in industrial, entrepreneurial and research environment to demonstrate leadership qualities.

Program Outcomes (PO’s)

  • PO1: Advanced Technical Knowledge Ability to apply advanced knowledge of mathematical, scientific and computing to carry out independent research and investigate complex problems of global benchmark.
  • PO2: Research and Development Achieve and understand research-based solutions for problems in industry and academia using contemporary research methods.
  • PO3: Pedagogy Enables academic adherence by practice of method and environment for teaching which is incorporated within the curriculum enabling life-long learning and professional development through self-study, continuing education, professional and doctoral level studies.
  • PO4: Innovation and Entrepreneurial Inculcate innovative approaches to develop solutions towards existing real-world problem(s) to create value and wealth for the betterment of the individual and society at large.
  •   PO5: Societal Values Inculcating the human, social and business context while knowledge discovery by providing exposure to global view and diversity in the world and will utilize their engineering skills.
  • PO6: Personal and Professional Ethics Recognize the need of ethical, legal and societal implications to engage in self-governing and lifelong learning by making use of professional principles.
  • PO7: Communication Skills Ability to develop communication skills so that they are able to express ideas clearly and persuasively, in written and oral forms in a substantial technical manner.
  • PO8: Life-long learning Ability to engage in independent and life-long learning in the broadest context of research and technological change with the aim to educate the society and peers.

PSO’s

  • PSO1: Software Engineering To apply the software engineering principles and practices to provide high quality software solutions using state of art technologies.
  • PSO2: Data Science & Analytics To develop research solutions in the field of data engineering by using modern tools to provide innovative solutions for complex data science problems.
  • PSO3: Networking and Cyber Security To apply networking principles to understand cyber security issues and provides solutions to real world security problems

Course Fee
For National Students
1st Year 100786 2nd Year 103809
For International Students
Fee Per Semester Fee Per Year
2550 5000
Programme Structure

School of Engineering and Technology

Department Of Computer Science & Engineering

M.Tech CSE with specialization in Software Engineering

Batch: 2019 Onwards

 

TERM: I (Spring-II)

S. No.

Course Code

Course

Teaching Load

Credits

L

T

P

THEORY SUBJECTS

1

CSE611

Analysis and Design of Algorithms

3

1

0

4

2

CSE613

Mathematical and Statistical Techniques in Computer Science

3

1

0

4

3

 

Departmental Elective-1

3

0

0

3

CSE640

Object Oriented Software Engineering

CSE651

Software Architecture and Design Pattern.

4

 

Departmental Elective-2

 

 

 

 

CSE642

Soft Computing Techniques

3

0

0

3

5

 

Departmental Elective-3

3

0

0

3

CSE643

Software Requirement and Estimation

CSE652

Software Quality Metrics and Testing

Practical/Viva-Voce/Jury

1

CSP611

Analysis and Design of Algorithms Lab

0

0

2

1

2

 

Departmental Elective-1

0

0

2

1

CSP640

Object Oriented Software Engineering Lab

CSP651

Software Architecture and Design Pattern Lab

TOTAL CREDITS

19

School of Engineering and Technology

Department Of Computer Science & Engineering

M.Tech CSE with specialization in Software Engineering

Batch: 2019 Onwards

 

TERM: II (Spring-I)

S. No.

Course Code

Course

Teaching Load

Credits

L

T

P

THEORY SUBJECTS

1

CSE650

Pattern Recognition

3

1

0

4

2

CSE605

Machine Learning

3

0

0

3

3

 

Departmental Elective-4

3

0

0

3

CSE644

Agile Based Software Engineering

  CSE649

Secure Software Engineering

4

 

Departmental Elective-5

2

0

0

2

  CSE648

Recent Advances in Software Engineering.

5

 

Departmental Elective-6

3

0

0

3

CSE635

Software Reliability Engineering

 

Web Engineering

6

 

Departmental Elective-7

3

0

0

3

CSE647 

Component Based Software Engineering 

7

MRM001

Research Methodology

2

0

0

2

Practical/Viva-Voce/Jury

1

CSP650

Pattern Recognition Lab

0

0

2

1

2

 

Departmental Elective-4

0

0

2

1

CSP644

Agile Based Software Engineering Lab

  CSP649

Secure Software Engineering Lab

3

 

Departmental Elective-5

0

0

2

1

  CSP648

Recent Advances in Software Engineering Lab

4

CCU101

Community Connect

-

-

-

2

TOTAL CREDITS

25

School of Engineering and Technology

Department Of Computer Science & Engineering

Master of Technology- Computer Science and Engineering

Batch: 2019 Onwards

 

TERM: III

S. No.

Course Code

Course

Teaching Load

Credits

L

T

P

Practical/Viva-Voce/Jury

1

CSP681

Seminar

-

-

-

2

2

CSP691

Dissertation 1

-

-

-

10

TOTAL CREDITS

 

 

 

 

12

School of Engineering and Technology

Department Of Computer Science & Engineering

Master of Technology- Computer Science and Engineering

Batch: 2019 Onwards

 

TERM: IV

S. No.

Course Code

Course

Teaching Load

Credits

L

T

P

Practical/Viva-Voce/Jury

1.           

CSP692

Dissertation-II

-

-

-

                                                                                                          16

TOTAL CREDITS

 

 

 

 

16

S. No. Course Code Course Teaching Load Credits
L T P
THEORY SUBJECTS
1 CSE611 Analysis and Design of Algorithms 3 1 0 4
2 CSE613 Mathematical and Statistical Techniques in Computer Science 3 1 0 4
3   Departmental Elective-1 3 0 0 3
CSE604 Data Acquisition and Production
  Massive Graph Analysis
4   Departmental Elective-2        
CSE642 Soft Computing Techniques 3 0 0 3
5   Departmental Elective-3 3 0 0 3
CSE622 Advanced Data Mining Techniques
  Image and Video Analysis
Practical/Viva-Voce/Jury
1 CSP611 Analysis and Design of Algorithms Lab 0 0 2 1
2   Departmental Elective-1 0 0 2 1
CSP604 Data Acquisition and Production
  Massive Graph Analysis
TOTAL CREDITS 19
S. No. Course Code Course Teaching Load Credits
L T P
THEORY SUBJECTS
1 CSE650 Pattern Recognition 3 1 0 4
2 CSE605 Machine Learning 3 0 0 3
3   Departmental Elective-4 3 0 0 3
  Bioinformatics
CSE618 Big Data Analytics
4   Departmental Elective-5 2 0 0 2
CSE610 Advance Web Analytics
  Internet of Things and its applications.
5   Departmental Elective-6 3 0 0 3
CSE620 Deep Learning and web
  Health Care and Analytics
6   Departmental Elective-7 3 0 0 3
CSE608 Natural Language Computing
7 MRM001 Research Methodology 2 0 0 2
Practical/Viva-Voce/Jury
1 CSP601 Pattern Recognition 0 0 2 1
2   Departmental Elective-4 0 0 2 1
  Bioinformatics
CSP618 Big Data Analytics
3   Departmental Elective-5 0 0 2 1
CSP610 Advance Web Analytics
  Internet of Things and its applications.
4 CCU101 Community Connect - - - 2
TOTAL CREDITS 25

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