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M.Sc. - Artificial Intelligence and Machine Learning

M.Sc. - Artificial Intelligence and Machine Learning

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...

 

Students who are looking for...

 

Course Fee

For National Students
1st Year 125000 2nd Year 128750
For International Students
Fee Per Semester Fee Per Year
NA 5000**

Programme Structure

Sharda School of Computing Science & Engineering

Department of Computer Science & Applications

Programme Name:

MSC - AIML

 

Programme Code:  SET0127

Batch: 2026 Onwards

SEMESTER: I

S. No.

Course Code

Paper ID

Course

Teaching Load

Credits

Pre-requisites

Type of
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

 

 

Sharda School of Computing Science & Engineering

Department of Computer Science & Applications

Programme Name:

MSC - AIML

 

Programme Code:  SET0127

Batch: 2026 Onwards

SEMESTER: II

S. No.

Course Code

Paper ID

Course

Teaching Load

Credits

Pre-requisites

Type of
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

POE-I

 

MSCS1001

 

Big Data Analytics

3

0

0

3

Basics of Computers

POE

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

POE I (Practical)

 

MSXXXX

 

Big Data Analytics

0

0

2

1

Methodology

POE

MSXXXX

 

Soft Computing

Methodology

MSXXXX

 

Cognitive Computing

Methodology

9

MSCS1601

 

Project Minor

0

0

6

3

Methodology

Project

10

MSCS1601

 

Community Connect

0

0

0

0

 

Audit

11

NVXXXX

 

VAT course

3

0

0

0

 

VAT

TOTAL CREDITS

 

 

 

 

 

22

 

 

Sharda School of Computing Science & Engineering

Department of Computer Science & Applications

Programme Name:

MSC - AIML

 

Programme Code:  SET0127

Batch: 2026 Onwards

SEMESTER: III

S. No.

Course Code

Paper ID

Course

Teaching Load

Credits

Pre-requisites

Type of
1. CC
2. DSE
3. POE
4. SEC
5. Project

L

T

P

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 Visualization

2

0

0

2

Python Fundamentals

SEC

POE II

5

MSCS2001

 

Mobile Computing

3

0

0

3

Basics of Computers

POE

MSXXXX

 

Neural Networks

Basics of Computers

MSXXXX

 

Deep Learning

Basics of Computers

6

 

 

Research Methodology + IPR

0

0

2

1

Research Methodology

RM+IPR

Practical/Viva-Voce/Jury

7

MSAI2501

 

Prediction using Machine Learning Lab

0

0

2

1

C Programming

CC

8

MSCS2502

 

Design and Analysis of Algorithms Lab

0

0

2

1

Data Structures

CC

9

MSCS2503

 

Software Engineering Lab

0

0

2

1

Computer Fundamental

CC

POE II (Practicals)

10

MSXXXX

 

Mobile Computing Lab

0

0

2

1

 

POE

MSXXXX

 

Neural Networks Lab

 

MSXXXX

 

Deep Learning Lab

 

11

MSCS2504

 

Data Analysis and Visualization Lab

0

0

2

2

Python Fundamentals

SEC

12

MSCS2701

 

Industry Connect

0

0

0

2

 

Project

13

MSCS2601

 

Dissertation

0

0

4

2

Google Scholar

Project

TOTAL CREDITS

 

 

 

 

 

24

 

 

Sharda School of Computing Science & Engineering

Department of Computer Science & Applications

Programme Name:

MSC - AIML

 

Programme Code:  SET0127

Batch: 2026 Onwards

SEMESTER: IV

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

MSCS2104

 

Technical Skill Enhancement Course

0

0

4

2

Computer Science Core Subjects

CC

POE-III

2

MSAI2004

 

Agentic AI

3

0

0

3

Machine Learning

POE

MSCS2008

 

Natural Language Processing

Machine Learning

MSAI2005

 

Game Theory using AI

Machine Learning

POE-III (Practicals)

3

MSAI2504

 

Agentic AI Lab

0

0

2

1

Programing methodology

POE

MSCS2508

 

Natural Language Processing Lab

Programing methodology

MSAI2505

 

Game Theory using AI Lab

Programing methodology

4

MSCS2603

 

Project

0

0

0

8

Research and Project Methodology

Project

TOTAL CREDITS

 

 

 

 

 

14

 

 

Eligibility Criteria
For National Students
  • B.Sc. IT/CS/Mathematics, BCA with minimum 50% marks.
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.
How to apply for the course?

 

Career path you can choose after the course

 

 

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