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Master of Science (Computer Science)

Master of Science (Computer Science)

Sharda School of Engineering and Technology (SET)

  • Programme Code

    SET0127

  • Level

    Post Graduate

  • Duration

    2 Years

About the Programme

M.Sc. in Computer Science is a two-year post-graduate programme with the objective to develop human resources with core competence in various thrust areas of Computer Science. The programme includes software engineering, system development, natural computation, mathematical foundations and artificial intelligence. Other modules include programming, data analytics, software development, applied communications, network architecture, and database design. The coursework of the programme focus on preparing students for innovation within major tech companies or entrepreneurship within startup ventures. 
Students are provided with opportunities to develop and hone core competency in the field of computer science and encourage them to make a mark in the much sought after IT industry. Guest lectures, case studies and presentations are organised from time to time to give an insight into the latest development and happenings in the industry.

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

PO's:

  • PO1: Computing Knowledge Ability to develop and implement optimal solutions to complex computing problems using industry-recognized best practices and standards.
  • PO2: Problem Analysis: Apply problem-solving and technical skills to analyze complex problems and propose feasible computing solutions using fundamental principles of mathematics and computing sciences.
  • PO3: Design/Development of Solutions Design and develop the solutions to practical and complex engineering problems for welfare of society.
  • PO4: Research and Development Apply research-based knowledge and methodologies to analyze the problem, interpretation of data and synthesis of the information using technical tools.
  • PO5: Modern Tool Usage Create, select, and apply appropriate techniques, resources, and modern IT tools including application and modeling to computer applications with an  understanding of the limitations.
  • PO6: Innovation and Entrepreneurship Use innovative approach to develop opportunities to create value and wealth for the betterment of the individual and society at large.
  • PO7: Environment and Sustainability Understand the impact of the professional system solutions in societal and environmental contexts, and demonstrate the knowledge of, and need for sustainable development.
  • PO8: Personal and Professional Ethics Apply ethical decision making in the development, implementation, and management during professional life.
  • PO9: Communication: Ability to communicate effectively in both manner, verbally and written, to provide integrated solution to customers/users or peers.
  • PO10: Life-Long Learning: Continue the process of life-long learning through professional activities adapt themselves with ease to new technologies,

PSO’s

  • PSO1: Computer Science Use and apply current technical concepts and practices in the core areas of computer science, i.e. networking, data management, software engineering, computer security and artificial intelligence.
  • PSO2: Information Technology To cater to the demands of the IT and IT-enabled sectors through strong theoretical foundation with high quality teaching complemented with extensive practical training.

 

This course is for individuals who...

are passionate, diligent and determined to make a career in the Computer Science field. It is for candidates who possess the ability to accept changes and immediately look for creative solutions.

Students who are looking for...

a career with exceptional prospective fields and challenging roles in a futuristic industry must opt for this programme.

Course Fee
For National Students
1st Year 106090 2nd Year 109273
For International Students
Fee Per Semester Fee Per Year
2550 5000*
Programme Structure

S. No.

Course Code

Course

Teaching Load

Credits

L T P
THEORY SUBJECTS
1 MCT111 Database Management Systems 3 0 0 3
2 MCT112 Object Oriented Programming with JAVA 3 0 0 3
3 MCT113 Information Security and Cyber Laws 3 0 0 3
4 MCT114 Operating Systems 3 0 0 3
5 MCT115 Computer Networks 3 0 0 3
Practical/Viva-Voce/Jury
6 ARP207 Logical Skills Building and Soft Skills 1 0 2 2
7 MCL111 Database Management Systems Lab 0 0 2 1
8 MCL112 Object Oriented Programming with JAVA Lab 0 0 2 1
9 MCL114 Operating Systems sing Linux Lab 0 0 2 1
10 MCL195 Project Based Learning-1 0 0 2 1
11 MCL115 Computer Networks Lab 0 0 2 1
12 MCA175 Research Methodology 1 0 2 2
          24

S. No.

Course Code

Course

Teaching Load

Credits

L T P
THEORY SUBJECTS
1 MCT118 Data Structure and Analysis of Algorithm 3 1 0 4
2 MCT119 Application Programming in Python 3 0 0 3

3

  Open Elective -1

3

0

0

3

  Management Information Systems (MIS)
HMM207 Management Concepts & Practices
MCA013 Essentials of Digital Marketing

4

  Program Elective -1

3

0

0

3

MCT116 Artificial Intelligence
MCA366 Big Data Analytics
MCT011 Android Application Development
Practical/Viva-Voce/Jury
5 CCU101 Community Connect - - - 2
6 ARP208 Quantitative and Qualitative Aptitude Skill Building 1 0 2 2
7 MCL118 Data Structure and Analysis of Algorithm Lab 0 0 2 1
8 MCL119 Application Programming in Python Lab 0 0 2 1

9

  Program Elective-1

0

0

2

1

MCL116 Artificial Intelligence Lab
MCP366 Big Data Analytics Lab
MCL117 Android Application Development Lab
10 MCL196 Project Based Learning-2 0 0 2 1
TOTAL CREDITS         21

S. No.

Course Code

Course

Teaching Load

Credits

L T P
THEORY SUBJECTS
1 MCT213 Computer Graphics and Animation 3 0 0 3
2 MCT214 Web and its Applications 3 0 0 3

3

  Program Elective-2

3

0

0

3

MCT211 Data Mining & Knowledge discovery
MCT212 Mobile Technologies
MCA271 Cloud Computing

4

  Program elective-3

3

0

0

3

MCT216 Theory of Computation
MCT215 C­­ryptography and Network Security
MCA365 Software Project Management
5 MCT216 Software Engineering & Testing 3 0 0 3
Practical/Viva-Voce/Jury
6 ARP305 Personality Development and Decision making Skills 1 0 2 2
7 MCL213 Computer Graphics and Animation Lab 0 0 2 1
8 MCL214 Web and its Applications Lab 0 0 2 1
9 MCL354 Seminar - - - 2
10 MCL295 Project-1 - - - 2
TOTAL CREDITS         23

School of Engineering and Technology

Department Of Computer Science & Application

M.Sc in Computer Science

Batch: 2021 Onwards

 

TERM: IV

S. No.

Course Code

Course

Teaching Load

Credits

L

T

P

THEORY SUBJECTS/ Practical/Viva-Voce/Jury

1

MCL296

Project-2

-

-

-

12

TOTAL CREDITS

 

 

 

 

12

Eligibility Criteria
For National Students
  • B.Sc. IT/CS/Mathematics BCA.
For International Students The eligibility criterion for all programs for international applicants is minimum 50% in the qualifying examination and having studied the pre-requisite subjects for admission in to the desired program.
Career path you can choose after the course
  • Software developer
  • Software Tester
  • Network administrator
  • Database designer 
  • Game Designer
     
  • IBM
  • TCS
  • Wipro
  • Amazon
  • NTT Data etc.

Take the next step towards a career in engineering.

Apply Now