[BSc – PSM] Physics, Statistics, Mathematics

The B.Sc. PSM program at Poornaprajna College is an academically rigorous combination tailored for students who possess a strong aptitude for analytical reasoning and numerical computation. This course bridges the gap between the physical laws of nature and the mathematical frameworks used to interpret complex data sets. By integrating the experimental precision of Physics with the investigative power of Statistics and the logical foundations of Mathematics, students are equipped with a versatile toolkit for solving real-world problems in science, technology, and finance.

Duration & Requirements:

  • Duration: 3 years (6 semesters)
  • Requirements: Candidate should have passed PUC with Science subjects.
View the Prospectus. For Fee Structure and any other details, Contact Us

Subjects / Courses:

The B.Sc. PSM combination involves study of the core 3 subject (one paper each) for the first 4 semesters along with other mandatory and elective subjects. These non-core subjects would be  English, Languages (Kannada / Hindi / Sanskrit) and others.

Click the department links below and explore the syllabus. The Library page also hosts the link to all Subject Syllabus.

Core:

  • Physics – 1 paper each for 4 semesters, 2 papers in 5th and 6th semesters.
  • Statistics – 1 paper each for 4 semesters, 2 papers in 5th and 6th semesters.
  • Mathematics – 1 paper each for 4 semesters, 2 papers in 5th and 6th semesters.
  • English – 1 paper each for first 4 semesters.
  • Language – 1 paper from a language of choice [ Kannada / Hindi / Sanskrit ] for first 4 semesters.
  • General Education – 1 paper per semester

Career Options

Graduates of the PSM stream possess a highly sought-after skill set that opens doors to various modern industries:

  • Data Science and Analytics: Work as data analysts, business analysts, or junior data scientists, utilizing statistical models to drive corporate decision-making.

  • Actuarial Science: Pursue professional certification to work in the insurance and risk management sectors, specializing in probability and financial mathematics.

  • Research and Development: Engage in advanced research in fields such as solar physics, astrophysics, or computational modeling.

  • Information Technology: Leverage mathematical logic for roles in software development, cryptography, and algorithm design.

  • Education and Academia: Qualify for postgraduate studies (M.Sc.) in any of the three disciplines, leading to careers in teaching and academic research.

  • Government Services: Prepare for competitive examinations like the Indian Statistical Service (ISS), as well as UPSC and banking sector roles.