Duration of Program 3 years (6 semesters)


Seats 15*

*Total Seats in B.Sc. (Hons.) Physics

In present time, when we exercise immense Computing power which is still growing rapidly, undergraduate students can take great benefit by implementing various computational tools and techniques. Also, computational tools can be used in several areas starting from simulating various systems for the prediction of properties at micro/ macro/ nano level to development of new materials for the betterment of the life of the mankind to drug development etc. Computational techniques like Material Modelling, Drug development, Computational Chemistry are not only very reliable, but they save both money, time of the user. With Science expanding its horizons towards the areas like Machine learning, Data Science, Decision Science etc, the graduate students should be well prepared for utilizing these efficient computational techniques. If the science graduates also have a high level of computational and mathematical ability, it will definitely open a wide and diversified range of opportunities for them. 


The foundation of higher learning at UPES since its inception has been to explore and promote areas of learning that are innovative and future focused. This has led to constant evolution in facilitating creative and collaborative learning engagements for students through realignment of curriculum and exploration of virtual tools, and open-source courseware; thereby creating borderless learning and access to limitless information.

The new curriculum framework at UPES, ABLE (Academic Blueprint for Learning Excellence) is holistic in its overall structure and yet focuses on the individual need of the student to discover, experience, explore and challenge. The learning is segmented into core subject studies, core specialism studies, minors/exploratory subjects, and signature and life skills learning. The latter three are offered by the newly-instituted School for Life.

SFL (School for Life) is an intrinsic part of the composite UPES student experience and facilitates learning and education that is a balance between what students want, and what is needed of them as future global citizens and leaders of tomorrow. With courses designed to equip students with lifelong learning skills, a focus on a wide range of contemporary issues, and a mandatory social and professional internship experience that is unique, UPES believes in igniting to inspire the best version within an individual to better the world.


PEO-1: Graduate will have significant opportunities to get employment at Local and National level, and can work as analyst, quality controller, research assistant and in government sector job. 

PEO-2: Graduate will have leadership quality to handle all kind of circumstances in diversities by providing interdisciplinary and multidisciplinary learning environment. 

PEO-3: Graduate will continuously learn and adopt new skills and techniques to overcome the problem related with new technologies. 

PEO-4: Graduate will be able to formulate, investigate and analyze scientifically real life problems along with ethical attitude which works in multidisciplinary team. 

PSO-1: Attain a systemic understanding of fundamental physical concepts, principles and theories along with their applications to design and execute experiments on various advanced equipment. 

PSO-2: Develop proficiency in the writing computer programs for solving mathematical equations representing various physical situations. 

PSO-3: Learn and apply various simulations tools/softwares in solving material science problems. 

  • Materials Modelling 

  • Data Science 

  • Machine learning for various application 

  • Theoretical chemistry 

  • Drug development 

  • Weather Forecasting 

Minimum 50% marks in Classes X and XII.(PCM/B)
Personal Interview



Category Subject Code Subject Credits
Core Course PHYS 1011  Mathematical Physics I 4
Core Course TBA  Mathematical Physics I Lab 1
Core Course PHYS 1012  Mechanics 4
Core Course  TBA Mechanics Lab 1
Core Course TBA  Introduction to Metrology 2
HSE HSFS 1003 Environmental Science 2
Generic Elective    Generic Elective - I (Chemistry/Mathematics/Geology) 6
School for life SLLS0101 Learning how to learn 2
School for life SLLS0102 Living Conversation 2
    Total 24





Category Subject Code Subject Credits
Core Course PHYS 1013  Electricity and Magnetism 4
Core Course TBA  Electricity and Magnetism Lab 1
Core Course  PHYS 1014 Waves and Optics 4
Core Course  TBA Waves and Optics Lab 1
Core Course TBA  Thermal Physics 5
Generic Elective    Generic Elective- II (Mathematics/Chemistry/Geology) 6
School for life SLLS0103 Leadership & Teamwork 2
School for life SLLG0104 Critical Thinking & Writing 3
    Total 26





Category Subject Code Subject Credits
Core Course  PHYS 2001 Mathematical Physics II 4
Core Course TBA Mathematical Physics II Lab 1
Core Course PHYS 2006  Analog Systems and Applications 4
Core Course  TBA Analog Systems and Applications Lab 1
Core Course PHYS 2005  Elements of Modern Physics 4
Core Course TBA  Elements of Modern Physics Lab 1
Skill Enhancement    Skill Enhancement Electives I 2
Generic Elective   Generic Elective-IV (Mathematics/Chemistry/Geology) 6
School for life SLLS 0201 Design Thinking 2
School for life SLLS 2001 Social Internship 0
    Total 25





Category Subject Code Subject Credits
Core Course  PHYS 2004  Mathematical Physics III 5
Core Course   TBA Statistical Mechanics 3
Core Course  PHYS 2003  Digital System and Application 4
Core Course  TBA  Digital System and Application Lab 1
Skill Enhancement   Skill Enhancement Electives II 2
Generic Elective    Generic Elective-IV (Mathematics/Chemistry/Geology) 6
School for life   Working with Data 2
School for life   Ethical Leadership in the 21th Century (Human Values and Ethics) 3
    Total 26





Category Subject Code Subject Credits
Core Course   TBA Quantum Mechanics and Application 5
Specialization course   Specialization course I  5
Specialization course   Specialization course II 5
Specialization course   Specialization course III  5
School for life   Persuasive Presence 2
School for life   Environment and Sustainability - Himalaya Fellowship 3
    Total 25





Category Subject Code Subject Credits
Core Course   PHYS 3003 Electromagnetic Theory 4
Core Course  TBA  Electromagnetic Theory Lab 1
Core Course   TBA Solid State Physics 5
Specialization course   Specialization course IV 5
Dissertation   Dissertation 6
School for life   Signature course 5 3
    Total 24





Numerical Methods in Scientific Computing
Numerical Methods in Scientific Computing Lab
Fundamentals of Computational Material Science
Computational Tools: Atomistic Simulations Techniques
Computational Tools: Atomistic Simulation Techniques Lab
Monte Carlo Methods
Monte Carlo Methods Lab


We at the department believe in experiential teaching and learning and strive to imbibe problem solving skills and critical thinking in the students. The following practices are in place to improve the quality of Teaching-Learning and student experience: 

  • Design and Review of individual Course Plans at the beginning of session 
  • Course Completion Report (CCR) 
  • Academic Planning & Monitoring 
  • Quality Laboratory Experience 
  • Encouraging Advanced Learner 
  • Slow Learners Support 
  • ICT enabled Classroom (sound system, mic and projector) 
  • Guest lectures  
  • Certification Courses  
  • Professional Software Training (PST) and Certification 
  • NPTEL lectures 
  • Use of Virtual labs 
  • Participation in competitive events (In-house/National/International). 
  • Participation in Conferences/Seminars/Workshops (National/International). 
  • Semester Exchange Program. 
  • FDP 

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