Applications Open for Academic Session 2025-26
Click Here
Fee Payment (EMI)

M.Sc. - Computer Science (AI & ML)

M.Sc. - Computer Science (AI & ML)

Sharda School of Computing Science & Engineering (SSCSE)

  • Programme Code

    SET0127

  • Level

    Post Graduate

  • Duration

    2 Years

About the Programme

Programme Educational Objectives (PEOs):

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

This course is for individuals who...

 

Course Fee
For National Students
1st Year 122000 2nd Year 125660
For International Students
Fee Per Semester Fee Per Year
NA NA
Programme Structure
S. No. Course Code Paper ID Course Teaching Load Credits Pre-requisites




 
Type of Course
1. CC
2. DSE
3. POE
4. SEC
5. Project
L T P  
THEORY SUBJECTS    
1 MSCS1101   Database Management System 4 0 0 4 Fundamentals of computers CC
2 MSCS1102   C Programming and File Handling 4 0 0 4 Fundamentals of computers
  and basic mathematics
CC
3 MSAI1101   Artificial Intelligence and Machine Learning 4 0 0 4 Fundamentals of computers CC
4 MSCS1104   Computer Architecture and Organization 3 0 0 3 Boolean Algebra CC
5 MSCS1105   Computing and Innovation 2 0 0 2 Fundamentals of computers CC
Practical/Viva-Voce/Jury            
6 MSCS1501   Database Management Systems Lab 0 0 2 1 Fundamentals of computers CC
7 MSCS1502   C Programming and File Handling Lab 0 0 2 1 Fundamentals of computers CC
8 MSAI1501   Artificial Intelligence and Machine Learning Lab 0 0 2 1 Fundamentals of computers CC
TOTAL CREDITS           20    
S. No. Course Code Paper ID Course Teaching Load Credits Pre-requisites




 
Type of Course
1. CC
2. DSE
3. POE
4. SEC
5. Project
L T P  
THEORY SUBJECTS    
1 MSCS1106   Data Structure Using C 3 1 0 4 C Programming CC
2 MSCS1201   Application Programming in Python 4 0 0 4 C Programming DSE
3 MSAI1102   Advanced Prompt Engineering 3 0 0 3 Basics of Mathematics CC
4 MSCS1401   Probability and Statistics 2 0 0 2 Basics of Mathematics SEC 
5 POE-I                                                                                                                                                            3 0 0 3   POE   
MSCS1001   Big Data Analytics                                                                        Basics of Computers
MSAI1001   Soft Computing Basics of Computer Networks
MSAI1002   Cognitive Computing Basics of Computers
Practical/Viva-Voce/Jury    
6 MSCS1504   Data Structure Using C Lab 0 0 2 1 C Programming CC
7 MSCS1505   Application Programming in Python Lab 0 0 2 1 C Programming DSE
8 MSCS1601   Project Minor 0 0 0 4 Programing Methodology Project
9 MSCS1801   Community Connect 0 0 0 2   Audit
TOTAL CREDITS           24    
S. No. Course Code Paper ID Course Teaching Load Credits Pre-requisites




 
Type of Course
1. CC
2. DSE
3. POE
L T P 4. SEC
5. Project
 
THEORY SUBJECTS    
1 MSCS2101   Design and Analysis of Algorithms 3 0 0 3 Data Structures CC
2 MSAI2101   Prediction Using Machine Learning 3 0 0 3 C Programming CC
3 MSCS2103   Software Engineering  3 0 0 3 Computer Fundamental CC
4 MSCS2401   Data Analysis and Visualisation 2 0 0 2 Python Fundamentals SEC
5     Research Methodology + IPR 0 0 2 1 Research Methodology RM+IPR
Practical/Viva-Voce/Jury    
6 MSAI2501   Prediction using Machine Learning Lab 0 0 2 1 C Programming CC
7 MSCS2502   Design and Analysis of Algorithms Lab 0 0 2 1 Data Structures CC
8 MSCS2503   Software Engineering Lab 0 0 2 1 Computer Fundamental CC
9 MSCS2504   Data analysis and Visualisation Lab 0 0 2 1 Python Fundamentals SEC
10 MSCS2701   Industry Connect 0 0 0 0   Project
11 MSCS2601   Dissertation (Research Based Learning)  0 0 0 4 Google Scholar  Project
TOTAL CREDITS           20    
S. No. Course Code Paper ID Course Teaching Load Credits Pre-requisites




 
Type of Course
1. CC
2. DSE
3. POE
L T P 4. SEC
5. Project
 
THEORY SUBJECTS    
1 MSCS2104   Technical Skill Enhancement Course 0 0 4 2 Computer Science Core Subjects CC
2 MSCS2602   Project 0 0 0 14 Research and Project Methodology Project
Practical/Viva-Voce/Jury    
TOTAL CREDITS           16    

Take the next step towards a career in engineering & basic science.

Apply Now