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B.Sc.(Hons/Research)- Physics with Minor in AI based Computational Physics

B.Sc.(Hons/Research)- Physics with Minor in AI based Computational Physics

Sharda School of Engineering & Science (SSES)

  • Programme Code

    SBR0203

  • Level

    Graduate

  • Duration

    4 Years

About the Programme

The B.Sc. Physics with minor in AI-Based Computational Physics is a future-oriented undergraduate program that blends a strong foundation in physical sciences with advanced training in artificial intelligence (AI) and computational techniques. Designed for students eager to explore the evolving landscape of science and technology, this interdisciplinary program equips learners to tackle complex physical problems using data-driven methods and intelligent systems. The program offers a rigorous grounding in core areas of physics, including classical mechanics, electromagnetism, quantum mechanics, thermodynamics, and statistical physics. Alongside this, students gain expertise in machine learning, neural networks, deep learning, data mining, and AI algorithms, enabling them to model, simulate, and analyse complex physical systems with modern computational tools.

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Course Fee
For National Students
1st Year 80000 2nd Year 82400 3rd Year 84872 4th Year 87418
For International Students
Fee Per Semester Fee Per Year
NA 3600*
Programme Structure

S.No.

SU

Subject Code

Paper Id

Subjects

Teaching Load

Credits

Pre-Requisite/Co Requisite/Core/Elective

 

Type of Course

 

 

L

T

P

 

 

THEORY COURSES

 

  1.  

PHT1101

 

Semiconductor Physics & devices

3

0

0

 

3

Pre-Requisite

New code

 

2.

PHS102

Mathematical Physics-I

3

1

0

4

Pre-Requisite

 

CC

 

3.

PHT1103

 

Physics in everyday life 

2

0

0

2

Co-requisite

Interdisciplinary

 

4.

SKP1010

Communication Essentials 1

0

1

2

2

Co-requisite

AEC

 

 

 

PRACTICAL

 

5.

VOP1101

Electronics based Vocational Course

0

0

6

 

3

Pre-Requisite

 

 

SEC

 

6.

PHP1111

 

Introduction to Python Programming

2

0

2

3

Co-requisite

Minor

 

7.

EVT1129

Environmental Education

2

0

0

        2

Co-requisite

VAC (New code)

 

8.

PHP1101

 

Semiconductor Physics and Devices Lab

0

0

2

1

Co-requisite

CC(New code)

 

TOTAL CREDITS 

20

 

 

 

S.No.

SU

Subject

Paper Id

Subjects

Teaching Load

Credits

Pre-Requisite/Co Requisite /Core /Elective

 

Type of Course

L

T

P

 

 

 

 

 

 

 

 

 

  1.  

PHS103

  Optics

4

0

0

 

4

 

Pre-requisite

 

Core

    2.

PHT1104

Thermal Physics

3

0

0

3

Pre-requisite

Core

    3.

PHT1105

Fundamentals of Solid State Physics

1

0

2

2

Co-requisite

AEC

    4.

IKT1104

Mulya Pravah

-

-

-

2

Co Requisite 

 

VAC

    5.

PHVAC1101

Vedic Physics and Indian Scientific Heritage

2

0

0

 

 

2

Co -Requisite

VAC

 

 

 

 

 

 

 

 

 

    6.

PHS152

Physics lab-2 (Optics & Thermal Physics Lab)

0

0

2

       

          1

 

Co-requisite

 

Core

    7.

SKP1020

Communication Essentials 2

0

1

2

     

          2

Co Requisite

 

AEC

    8.

VOP1102

Geometrical optics

 

0

0

5

 

 

3

Co Requisite

 

SEC

      9.

PHP1112

 

Advanced Python Programming

2

0

2

          3

Co-Requisite

  Minor     

                                              20

S.No.

SU 

Subject Code

Paper Id

Subjects

Teaching Load

Credits

Pre-Requisite/Co Requisite /

 

Type of Course

 

L

T

P

 

THEORY SUBJECTS

  1.  

PHS201

 

Electricity and Magnetism 

3

1

0

3

 

Core

Core

 

  2.

PHT2201

  Mathematical Physics-II

4

1

0

4

 

Core

Core

  3.

IKT2202

General Hindi

-

-

-

 

2

 

 

AEC

 

PRACTICAL

4.

PHP2201

  Electricity and magnetism lab

0

0

2

 

1

Co-requisite

Core

5.

PHT2203/MOOC

 

Synthesis and Characterisation of Nanomaterials/MOOC

2

0

0

2

OPE

Interdisciplinary

6.

VOP201

Nano-materials Technology and Hands on Training (SEC)

0

0

5

          3

Co-requisite

SEC

7.

PHP2211

Python for Computational Physics

0

0

5

 

3

Minor

Minor

8.

PHR2201

Research Based Learning-1  (RBL1)

0

0

2

0

Co Requisite

Project

 

 

 

TOTAL CREDITS 

20

 

 

S.No.

SU

Subject Code

Subjects

Teaching Load

Credits

Pre-Requisite/Co Requisite 

 

Type of Course:

 

L

T

P

 

THEORY SUBJECTS

1.

PHS204

 

Electromagnetism

3

1

0

           

              4

Pre-Requisite

Core

2.

PHS205

Quantum Mechanics-I

3

  1

0

4

Pre-Requisite

Core

3.

PHT2204

 

Analog Electronic Devices & Circuits

3

1

0

 

4

 

Pre-Requisite

 

Core

 

Practical

4.

CCP2001

Community Connect

0

0

4

2

Co-Requisite

AEC

5.

 

  PHP2212

Statistics & Probability for AI

2

0

2

     

      3

Co-Requisite

Minor

6.

PHP2202

Fundamental Electronics and Instumentation Lab

0

0

4

2

Co Requisite 

 

Core

7.

PHR2202

Research Based Learning 2

0

0

2

1

Co Requisite 

 

Project

 

 

 

TOTAL CREDITS 

19

 

 

S.No.

SU

Subject Code 

Subjects

Teaching Load

Credits

Pre-Requisite/Co Requisite 

 

Type of Course

 

L

T

P

 

THEORY SUBJECTS

  1.  

PHT3301

Classical Mechanics & Relativity

3

1

0

4

Pre-Requisite

 

            Core

    2.

PHT3302

Atomic & molecular Physics

3

1

0

4

Pre-Requisite

              Core

    3.

PHS302

  Oscillations and waves

3

0

0

3

Pre-Requisite

 

            Core

    4.

PHS303

  Numerical Analysis

3

0

0

3

Pre-Requisite

 

            Core

    5.

PHS304/MOOC

Instrumentation/MOOC

3

0

0

3

Co-requisite

            Core

 

Practical

    6.

PHS352

Physics lab -7 (NA)

0

0

2

1

Co-requisite

            Core

    7.

PHP3302

Waves and Oscillations lab

0

0

4

2

Co-requisite

            Core

      8.

PHR3301

Research Based Learning-3 (RBL3) 

Project

0

0

2

0

Co-requisite

Training/Survey/Project

 

 

 

TOTAL CREDITS 

20

 

 

S.No.

SU

Subject Code 

 

Subjects

Teaching Load

Credits

Pre-Requisite/Co Requisite 

 

Type of Course:

 

L

T

P

 

THEORY SUBJECTS

  1.  

PHT3311

Applications of neural Network

3

0

2

   

          4

Pre-Requisite

Minor

            2

ARP306

Campus to corporate

0

0

2

         

          2

Pre-requisite

AEC

 

Practical

3.

PHP3305

Preparation, Characterization and Applications of Polymer electrolytes

0

0

3

     

      3

 

 

 

Co-requisite

  Interdisciplinary

 

4.

PHP3312

  AI in Material Science

2

0

4

 

4

Pre-Requisite

 

Minor

5.

PHP3313

AI in Solar Physics

2

0

4

 

4

Pre-Requisite

 

Minor

6.

INC001

Industry Connect

0

0

2

2

Co-Requisite

Survey/Audit

7.

PHR3302

Research Based Learning-4 (RBL-4) Project

0

0

2

1

Co-requisite

Project (Audit Based )

 

 

 

TOTAL CREDITS 

20

 

 

OR

                                                    Apprenticeship

 

TOTAL CREDITS 

20

 

 

S.No

SU

Subject Code 

 

Subjects

Teaching Load

Credits

Pre-Requisite/Co Requisite/Core/Minor 

 

Type of Course

 

L

T

P

 

THEORY SUBJECTS

  1.  

MPH112

Solid state physics

3

1

0

4

Pre-requisite

Core

2

MPH119

Mathematical Physics

3

1

0

4

Pre-requisite

        Core

3

MPH120

Quantum mechanics

3

1

0

4

Pre-Requisite

Core

4

MPH111

Classical mechanics

3

1

0

4

Pre-requisite

Core

5

PHP4411

AI in Meterology

2

0

4

4

Co-requisite

Minor

            6

PHP1151

Optics & Laser lab

0

0

4

2

Pre-requisite

    Core

            7

PHP1152

Basics of Matlab

0

0

4

2

Pre-requisite

    Core

 

 

 

TOTAL CREDITS 

20/24

 

 

  • Only for students going for Apprenticeship & requires minor with major degree.

S.No.

SU

Subject Code 

Subjects

Teaching Load

Credits

Pre-Requisite/Co Requisite 

 

Type of Course

 

L

T

P

 

THEORY SUBJECTS

  1.  

PHS405

 

Characterization Techniques

4

0

0

 

4

Pre-requisite

Minor

2

PHT4401

Nanomaterials for Solar Cell and Photocatalytic Activity

 

4

0

0

 

4

Co-Requisite

Interdisciplinary

3

PHT4402

Mechanics beyond Newton

4

0

0

4

Co-Requisite

Interdisciplinary

 

Practical

4

PHR4403

Project

0

0

8

4

Co-requisite

Project

5

PHT4412

ML in Computational Geometry

3

0

2

4

Co-Requisite

Minor

                                                                                                      OR

                                                                              Apprentice

TOTAL CREDITS 

20

 

 

S.No

SU

Subject Code 

Paper Id

Subjects

Teaching Load

Credits

Pre-Requisite/Co Requisite/Core/Minor 

 

Type of Course

 

L

T

P

 

THEORY SUBJECTS

  1.  

MPH112

Solid state physics

3

1

0

4

Pre-requisite

Core

2

MPH119

Mathematical Physics

3

1

0

4

Pre-requisite

Core

3

MPH120

Quantum mechanics

3

1

0

4

Pre-Requisite

Core

4

MPH111

Classical mechanics

3

1

0

4

Pre-requisite

Core

5

PHP4411

AI in Meterology 

2

0

4

4

Minor 

Minor

 

Practical

6

PHR4401

Research Project I

 

0

0

6

3

Co-requisite

  Project 

 

 

 

TOTAL CREDITS 

23

 

 

S.No.

SU

Subject Code 

 

Subjects

Teaching Load

Credits

Pre-Requisite/Co Requisite 

 

Type of Course:

 

L

T

P

 

THEORY SUBJECTS

1

PHT4403

  Advanced Electronic  Devices

3

0

0

3

Pre-Requisite

Core

2

PHT4412

Characterization Techniques

4

0

0

4

Pre-Requisite

Minor

3

PHR4402

Research Project II

0

0

18

9

Pre-Requisite

Project

4

PHP4401

Advanced Electronic Devices lab

0

0

2

1

Pre-Requisite

Core

 

Practical

 

 

 

TOTAL CREDITS 

17

 

 

Eligibility Criteria
For National Students
  • Sr. Secondary (10+2) with minimum 55% marks in Physics, Chemistry, Mathematics (PCM) or Physics, Chemistry, Biology (PCB).
  • Proficiency in English Communication.
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

After completing a B.Sc. Physics with a Minor in AI-Based Computational Physics, students can explore a wide range of career paths that combine scientific knowledge with advanced computational and analytical skills. Many graduates pursue higher studies such as M.Sc. in Physics, Computational Physics, Data Science, or Artificial Intelligence, followed by research opportunities in areas like quantum computing, astrophysics, and AI-driven simulations. The integration of AI and physics also opens strong career prospects in the technology sector, including roles as data scientists, machine learning engineers, software developers, and simulation specialists. Graduates are well-suited for positions in research and development organizations, space and defense agencies such as ISRO and DRDO, as well as in high-performance computing and scientific research labs. Additionally, opportunities exist in emerging fields like fintech, climate modeling, and smart systems, along with careers in teaching, scientific writing, and government services. Overall, this interdisciplinary program equips students with versatile skills, enabling them to thrive in both traditional physics careers and modern data-driven industries.

 

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