UG/PG Phase-3 Admissions Closing on 30th June!!
Apply Now
Ph.D - Last Date Extended to 30th June
Apply Now!
MBA Admissions Closing 30th June
Apply Now!
Apply Now
Ph.D. Applications Open- Jan 2026
Apply Now
Fee Payment (EMI)

Bachelor of Science- Computer Science

Bachelor of Science- Computer Science

Sharda School of Computing Science & Engineering (SSCSE)

  • Programme Code

    SET0125

  • Level

    Graduate

  • Duration

    3 Years

About the Programme

B.Sc. in Computer Science is a three-year undergraduate programme that focuses on the discipline of computer science. The programme covers important topics related to computer science such as – Coding, Programming languages, Computer Hardware and Software, Networking, Database Management, Information Technology, Mathematics, Statistics and Electronics.

This programme equips students with the skills needed to contribute to this exciting and rapidly evolving field. It is this combination of skills that enable our graduates to keep pace with this fast-moving subject and secure rewarding careers that can be pursued almost anywhere in the world. The students acquire technical knowledge, skills and background for designing and organisation of computer systems.

The programme helps the students in their ability to critically evaluate design paradigms, languages, algorithms, and techniques used to develop complex software systems. They also learn to evaluate and respond to opportunities for developing and exploiting new technologies.

Specializations

  • Artificial Intelligence and Machine Learning
  • Cloud Computing and IoT

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:Computing knowledge: Understand the basic principles and methods of computer science for solving complex computing problems.
  • PO2: Problem Analysis and Design of solutions Analyze and formulate a problem, evaluate a computing-based solution to meet a given set of requirements using software development concepts.
  • PO3: Modern tool usage: Ability to select and apply current techniques and modern IT Tools for innovative software solutions.
  • PO4: Technical Skill Development To develop and sharpen programming, networking, and other computer science skills required in the field of study/ higher education.
  • PO5: Societal Concern: Utilize the role of computing for solving real life problems and to analyze its global impact on individuals, organizations, and society.
  • PO6: Environment and Sustainability:
  • Actively involved with knowledge, skills and right attitude in environmental context for sustainable development.
  • PO7: Ethics: Recognize ethical principles and moral values for the computing profession in global economic environment.
  • PO8: Individual and team work Ability to function effectively as an individual or a team member engaged in accomplishes a common goal.
  • PO9: Communication: Development of good communication skills in both written and verbal form to convey technical information effectively and accurately.
  • PO10: Life-long learning: Ability to recognize the need of training and skills to engage in self-regulating and life-long learning.

PSO’s

  • PSO1: Computer Science Provide effective and efficient solutions to real life problems using acquired knowledge in Data Mining, graph theory, advanced DBMS and other computer science concepts for continued professional development.
  • PSO2: Information Technology
  • Explore and provide software solutions of complex problems using information technology concepts like Enterprise Resource Planning, network security, IT infrastructure management.

This course is for individuals who...

want to learn the software (language and programming etc) aspects of the computer and the knowledge of the operating system, programming language, database, Networking, Software testing and further.

Students who are looking for...

a career with exceptional prospective fields and challenging roles in a futuristic industry. The financial security, the freedom to relocate, lifelong prospects of learning makes this programme an ideal career for computer science enthusiasts.

Course Fee

For National Students
1st Year 125000 2nd Year 128750 3rd Year 132613
For International Students
Fee Per Semester Fee Per Year
NA 4000*

Programme Structure

Sharda School of Computing Science & Engineering

Department of Computer Science & Applications

B.Sc Computer Science

Batch: 2026 Onwards

SEMESTER: I

S. No.

Course Code

Course

Teaching Load

Credits

Pre-Requisite/Co Requisite

Category

L

T

P

THEORY SUBJECTS

1

BSCS1101

Fundamental of Computer & Web Technologies

3

0

2

4

 

CC

2

BSCS1301

Digital Electronics & Computer Organization

3

0

0

3

 

IDC

3

BSCS1401

Introduction to IoT

2

0

0

2

 

SEC

4

 

Communicative English-1

2

0

0

2

 

AEC

VAC

5

 

Environmental Management

3

0

0

3

 

VAC

 

OR

 

 

Ethics and Social Implications of AI

 

Practical/Viva-Voce/Jury

6

BSCS1501

Problem solving using C Programming Lab

0

1

4

3

Basic Mathematics

CC

7

BSCS1502

Fundamental of Computer & Web Technologies Lab

0

0

2

1

 

CC

8

BSCS1503

Digital Electronics & Computer Organization Lab

0

0

2

1

 

IDC

9

BSCS1504

Introduction to IOT with hands-on lab Implementation

0

0

2

1

 

SEC

TOTAL CREDITS

 

 

 

 

19

 

 

Sharda School of Computing Science & Engineering

Department of Computer Science & Applications

B.Sc Computer Science

Batch: 2026 Onwards

SEMESTER: II

S. No.

Course Code

Course

Teaching Load

Credits

Pre-Requisite/Co Requisite

Category

L

T

P

THEORY SUBJECTS

1

BSCS1302

Probability and Statistics

3

0

0

3

 

IDC

Program Open Elective-I

2

BSCS1001

Web Analytics

3

0

0

3

 

OE

BSCS1002

Mobile Application Development

 

3

 

Communicative English-2

2

0

0

2

 

AEC

VAC

4

 

Environmental Management

3

0

0

3

 

VAC

 

OR

 

 

Ethics and Social Implications of AI

 

Practical/Viva-Voce/Jury

5

BSCS1505

Principles of Data Structures Lab

0

1

4

3

Problem solving using C Programming

CC

6

BSCS1506

Web Analytics Lab

0

0

2

1

 

OE

BSCS1507

Mobile Application Development Lab

 

7

BSCS1508

Application based Programming in Python Lab

0

1

4

3

 

CC

8

 

Design thinking & creative learning Lab

0

1

4

3

 

SEC

9

 

Value Added

3

0

0

0

 

VAT

TOTAL CREDITS

 

 

 

 

21

 

 

Sharda School of Computing Science & Engineering

Department of Computer Science & Applications

B.Sc Computer Science

Batch: 2026 Onwards

SEMESTER: III

S. No.

Course Code

Course

Teaching Load

Credits

Pre-Requisite/Co Requisite

Category

L

T

P

THEORY SUBJECTS

1

BSCS2101

Object Oriented Programming Using Java

4

0

0

4

Problem solving using C Programming

CC

2

BSCS2102

Principles of Data Base Management System

3

0

0

3

 

CC

3

 

Research Methodology & IPR

1

0

0

1

 

IDC

Program Open Elective-II

4

BSCS2001

Mobile UI/UX Design

3

0

0

3

 

OE

BSCS2002

Introduction to AI & ML

 

BSCS2003

Fundamental of Blockchain & Cybersecurity

 

BSCS2004

Introduction to Cloud Computing

 

5

 

Augmented Reality Applications Development

2

0

0

2

 

SEC

Practical/Viva-Voce/Jury

6

BSCS2501

Mobile UI/UX Design Lab

0

0

2

1

 

OE

BSCS2502

Introduction to AI & ML Lab

 

BSCS2503

Fundamental of Blockchain & Cybersecurity Lab

 

BSCS2504

Introduction to Cloud Computing Lab

 

7

BSCS2505

Object Oriented Programming Using Java Lab

0

0

2

1

Problem solving using C Programming

CC

8

BSCS2506

Principles of Data Base Management System Lab

0

0

2

1

 

CC

9

 

Augmented Reality Applications Development

0

0

2

1

 

SEC

10

 

Logical Skills Building and Soft Skills

0

1

4

2

 

AEC

11

RBL001

Research Based Learning-1

0

0

2

0

 

Audit Course

TOTAL CREDITS

 

 

 

 

19

 

 

Sharda School of Computing Science & Engineering

Department of Computer Science & Applications

B.Sc Computer Science

Batch: 2026 Onwards

SEMESTER: IV

S. No.

Course Code

Course

Teaching Load

Credits

Pre-Requisite/Co Requisite

Category

L

T

P

THEORY SUBJECTS

1

BSCS2103

Design and Analysis of Algorithm

3

1

0

4

Data Structures Using C

CC

2

BSCS2104

Computer Networks and Data Communication

3

1

0

4

 

CC

3

BSCS2105

Operating System and Unix Shell Programing

3

0

0

3

 

CC

Program Open Elective-III

4

BSCS2005

Advanced Java

3

0

0

3

 

OE

BSCS2006

Machine Learning & Neural Networks

 

BSCS2007

Ethical Hacking & Penetration Testing

 

BSCS2008

Cloud Infrastructure & Services

 

Practical/Viva-Voce/Jury

5

BSCS2507

Advanced Java Lab

0

0

2

1

 

OE

BSCS2508

Machine Learning & Neural Networks Lab

 

BSCS2509

Ethical Hacking & Penetration Testing Lab

 

BSCS2510

Cloud Infrastructure & Services Lab

 

6

BSCS2511

Design and Analysis of Algorithm Lab

0

0

2

1

Data Structures Using C

CC

7

BSCS2512

Computer Networks and Data Communication Lab

0

0

2

1

 

CC

8

BSCS2513

Operating System and Unix Shell Programing Lab

0

0

2

1

 

CC

9

 

Community Connect

0

1

2

2

 

AEC

10

RBL002

Research Based Learning-2

0

0

2

1

 

Research

TOTAL CREDITS

 

 

 

 

21

 

 

Sharda School of Computing Science & Engineering

Department of Computer Science & Applications

B.Sc Computer Science

Batch: 2026 Onwards

SEMESTER: V

S. No.

Course Code

Course

Teaching Load

Credits

Pre-Requisite/Co Requisite

Category

L

T

P

THEORY SUBJECTS

1

BSCS3101

Introduction to R

4

0

0

4

Object Oriented Programming

CC

2

BSCS3102

Software Engineering and Quality Assurance

4

0

0

4

 

CC

3

BSCS3301

Entrepreneurship Development

3

0

0

3

 

IDC

Program Open Elective-IV

4

BSCS3001

Advanced Web Development

3

0

0

3

 

OE

BSCS3002

Deep Learning & NLP

 

BSCS3003

Network Security & Cryptography

 

BSCS3004

Cloud Security & Compliance

 

Practical/Viva-Voce/Jury

5

BSCS3501

Introduction to R Lab

0

0

2

1

Object Oriented Programming

CC

6

BSCS3502

Technical Skill Enhancement Course - I

0

0

4

2

 

CC

7

BSCS3701

Summer Internship

0

0

4

2

 

Internship

8

RBL003

Research Based Learning-3

0

0

2

0

 

AUDIT

9

BSCS3504

Advanced Web Development Lab

0

0

2

1

 

OE

BSCS3505

Deep Learning & NLP Lab

 

BSCS3506

Network Security & Cryptography Lab

 

BSCS3507

Cloud Security & Compliance Lab

 

TOTAL CREDITS

 

 

 

 

20

 

 

Sharda School of Computing Science & Engineering

Department of Computer Science & Applications

B.Sc Computer Science

Batch: 2026 Onwards

SEMESTER: VI

S. No.

Course Code

Course

Teaching Load

Credits

Pre-Requisite/Co Requisite

Category

L

T

P

THEORY SUBJECTS

1

BSCS3103

Dot Net Framework using C

4

0

0

4

Object Oriented Programming

CC

2

BSCS3104

Data Analysis and Visualization

3

0

0

3

Python / R Programming

CC

Program Open Elective-V

4

BSCS3005

Full-Stack Development

3

0

0

3

 

OE

BSCS3006

AI for Data Science

 

BSCS3007

Fundamental of Digital Forensics

 

BSCS3008

Serverless Computing & DevOps in Cloud

 

Practical/Viva-Voce/Jury

5

BSCS3508

Dot Net Framework using C Lab

0

0

2

1

Object Oriented Programming

CC

6

BSCS3509

Data Analysis and Visualization Lab

0

0

2

1

Python / R Programming

CC

 

BSCS3510

Technical Skill Enhancement Course - II

0

2

4

4

 

CC

7

RBL004

Research Based Learning-4

0

0

2

1

 

Research

8

 

Industry Connect

0

1

2

2

 

INTERNSHIP

9

BSCS3511

Full-Stack Development Lab

0

0

2

1

 

OE

BSCS3512

AI for Data Science Lab

 

BSCS3513

Fundamental of Digital Forensics Lab

 

BSCS3514

Serverless Computing & DevOps in Cloud

 

TOTAL CREDITS

 

 

 

 

20

 

 

OR

1

 

Apprenticeship

0

0

40

20

 

 

Eligibility Criteria
For National Students
  • Sr. Secondary (10+2) with minimum 50% aggregate marks with PCM as mandatory subject.
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

This course opens the door to many possible careers.

  • Quality Analyst
  • IT Specialist
  • Graphic Designer
  • Software Developer
  • Data Base Designer
  • Game Designer
  • IBM
  • TCS
  • Wipro
  • Amazon
  • NTT Data etc.

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

Apply Now