UG/PG Applications Open 2026-27
Apply Now!
MBA Admissions Open
Apply Now!
Apply Now
Ph.D. Applications Open- Jan 2026
Apply Now
Fee Payment (EMI)

M.Sc. - Data Engineering & AI

M.Sc. - Data Engineering & AI

Sharda School of Computing Science & Engineering (SSCSE)

  • Programme Code

    SET0127

  • Level

    Post Graduate

  • Duration

    2 Years

About the Programme

The Master of Science (Data Engineering & Artificial Intelligence) is a postgraduate program aimed to developing advanced computing professionals with strong expertise in data management, intelligent systems, and modern AI technologies.

The curriculum offers a solid foundation in programming, algorithms, database systems, and software engineering, along with specialized courses in machine learning, deep learning, big data technologies, cloud computing, and predictive analytics.

Through laboratory sessions, hands-on projects, internships, and a major research dissertation, students gain practical experience with real-world data pipelines, AI model development, and scalable system deployment. The program emphasizes ethical AI practices, problem-solving, critical thinking, and innovation aligned with current industry needs.

Contemporary themes such as sustainability, digital transformation, and responsible technology use are integrated throughout the program. Graduates are prepared for careers in AI engineering, data engineering, analytics, automation, and research roles across diverse sectors including IT, finance, healthcare, education, and emerging digital industries.

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:

M.Sc. in Data Engineering & AI

Programme Code:    SET0127

 

Batch: 2026 Onwards

SEMESTER: I

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

CC

3

MSDE1101

 

Foundation of Data Science

3

0

0

3

Fundamentals of computers

CC

4

MSCS1104

 

Computer Architecture and Organization

3

0

0

3

Boolean Algebra

CC

5

MSDE1102

 

Mathematics for Data Science

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

MSDE1501

 

Foundation of Data Science Lab

0

0

2

1

Fundamentals of computers

CC

TOTAL CREDITS

 

 

 

 

 

19

 

 

Sharda School of Computing Science & Engineering

Department of Computer Science & Applications

Programme Name:

M.Sc. in Data Engineering & AI

Programme Code:    SET0127

 

Batch: 2026 Onwards

SEMESTER: II

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

MSCS1107

 

Data Structure

3

1

0

4

C

CC

2

MSCS1201

 

Application Programming in Python

4

0

0

4

C

DSE

3

MSCS1401

 

Probability and Statistics

2

0

0

2

Basics of Mathematics

SEC

POE-I

4

MSDE1001

 

Data Engineering

2

0

0

2

Basics of Computers

 

MSDE1002

 

Cloud Computing

Basics of Computers

 

MSDE1003

 

NoSQL Database

Basics of Computers

 

Practical/Viva-Voce/Jury

5

MSDE1501

 

Data Engineering Lab

0

0

2

1

 

 

MSDE1502

 

Cloud Computing Lab

 

 

MSDE1503

 

NoSQL Database Lab

Basics of Computers

POE

6

MSCS1507

 

Data Structure Lab

0

0

2

1

C

CC

7

MSCS1505

 

Application Programming in Python Lab

0

0

2

1

C

DSE

8

MSCS1601

 

Minor Project

0

0

6

3

Programing Methodology

Project

9

MSCS1801

 

Community Connect

0

0

0

2

 

Audit

TOTAL CREDITS

 

 

 

 

 

20

 

 

Sharda School of Computing Science & Engineering

Department of Computer Science & Applications

Programme Name:

M.Sc. in Data Engineering & AI

Programme Code:    SET0127

 

Batch: 2026 Onwards

SEMESTER: III

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

MSCS2107

 

Advanced Data Structure & Algorithms

3

1

0

4

Data

CC

2

MSCS2102

 

OOPs using JAVA

3

0

0

3

C

CC

3

MSCS2108

 

Software Engineering & Agile Methodologies

3

0

0

3

Computer

CC

4

MSCS2401

 

Data Analysis and Visualization

2

0

0

2

Python

SEC

5

MSCS2401

 

Research Methodology & IPR

0

0

2

1

Research

RM-IPR

POE-II

4

MCCR2001

 

Mobile Computing

3

0

0

3

 

POE

MCCR2002

 

Soft Computing

 

 

MCCR2003

 

Internet of Things

 

 

Practical/Viva-Voce/Jury

6

MSCS2511

 

Technical Skill Enhancement Course - I

0

0

2

1

 

 

7

MSCS2502

 

OOPs using JAVA Lab

0

0

2

1

C

CC

8

MSCS2507

 

Advanced Data Structure & Algorithms Lab

0

0

2

1

Data

CC

9

MSCS2508

 

Software Engineering & Agile Methodologies Lab

0

0

2

1

Computer

CC

10

MSCS2504

 

Data Analysis and Visualization Lab

0

0

2

1

Python

SEC

11

MSCS2701

 

Industry Connect

0

0

0

0

 

Project

12

MSCS2601

 

Dissertation (Research Based Learning)

0

0

4

2

Google Scholar

Project

TOTAL CREDITS

 

 

 

 

 

23

 

 

Sharda School of Computing Science & Engineering

Department of Computer Science & Applications

Programme Name:

M.Sc. in Data Engineering & AI

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

MSCS2512

 

Technical Skill Enhancement Course - II

0

0

2

1

Computer Science

CC

POE-III

 

MSDE2001

 

IOT & Data Analytics

3

0

0

3

 

 

MSDE2002

 

Advanced Visual Analytics

 

 

MSDE2003

 

Business Intelligence and Strategy

 

 

POE-IV

2

MCCR2004

 

Neural Network

3

0

0

3

 

POE

MCCR2005

 

Natural Language Processing

 

 

MCCR2006

 

Quantum Computing

 

 

2

MSCS2602

 

Project

0

0

0

8

Research and P

Project

Practical/Viva-Voce/Jury

 

XXXX

 

Neural Network Lab

0

0

2

1

 

 

XXXX

 

Natural Language Processing Lab

 

 

XXXX

 

Quantum Computing Lab

POE

 

TOTAL CREDITS

 

 

 

 

 

16

 

 

Programme Curricula
S.No. Academic year Curricula Link

1

2026-27 View Details
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.

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

Apply Now