[BSc – PMCs] Physics, Mathematics, Computer Science

The B.Sc. PMCs combination at Poornaprajna College is a forward-thinking program designed for students who want to master the intersection of physical sciences and modern computing. This course integrates the fundamental principles of Physics and the logical depth of Mathematics with the practical, high-demand skills of Computer Science. The curriculum is structured to provide a deep understanding of how mathematical models and physical laws are implemented through programming and software development, ensuring students are ready for the rapidly evolving tech landscape.

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. PMCs 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.
  • Mathematics – 1 paper each for 4 semesters, 2 papers in 5th and 6th semesters.
  • Computer Science – 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 with a PMCs degree possess a versatile and highly marketable skill set suitable for a variety of technical and analytical roles:

  • Software Development: Design and build applications, specializing in systems that require a strong understanding of underlying mathematical logic and physics simulations.

  • Data Science and Machine Learning: Apply statistical and mathematical algorithms to analyze large datasets and develop predictive models.

  • Hardware and Embedded Systems: Work in robotics or hardware design where knowledge of physics and electronic principles is essential for programming integrated circuits.

  • Scientific Computing: Research roles that involve creating complex computer simulations for fields such as astrophysics, solar physics, or meteorology.

  • Information Technology (IT) Consulting: Provide technical expertise to businesses in areas like cybersecurity, database management, and network architecture.

  • Higher Education: Pursue postgraduate studies (M.Sc.) in Computer Science, Data Science, or Physics, leading to specialized research or teaching careers.