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Bachelor of Science (Honours) in Physics - Computational Physics

Bachelor of Science (Honours) in Physics - Computational Physics

at University of Petroleum and Energy Studies India

Overview

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. 

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30

Application Processing Days

Under Graduate

Program Level

Fact & Figures

Full Time On Campus

Study Mode

36

Duration

University of Petroleum and Energy Studies

Location

Bachelor of Science (Honours) in Physics - Computational Physics Assistant Fee

$100000

Tuition Fee

$NA

Average Cost of Living

$1300

Application Fee

Bachelor of Science (Honours) in Physics - Computational Physics Admissions Requirements

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

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Detailed Program and Facts

30

Application Processing Days

Full Time On Campus

Program Intensity

Under Graduate

Program Level

36

Duration

Study Visa

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. 

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