Master of Science (M.Sc.) – Mathematics

The M.Sc. Mathematics program at Poornaprajna College was introduced in 2015 to provide advanced academic opportunities for students pursuing mastery in mathematical sciences. This postgraduate course is designed to deepen students’ understanding of complex mathematical theories while fostering the analytical and research-oriented mindset essential for modern scientific exploration. By leveraging the college’s strong foundation in natural sciences and its ties to research institutions, the program prepares graduates for high-level roles in academia, data science, and theoretical research.

Duration & Requirements:

  • Duration: 2 years (4 semesters) – Includes Masters Project
  • Requirements: Candidate should have passed B.Sc. with Mathematics as one of the 3 subjects or a Mathematics major.
View the Prospectus. For Fee Structure and any other details, Contact Us

Subjects / Courses:

The MSc program involves study of the core subjects (one paper each) for the 4 semesters along with mandatory project submission for Masters thesis.

Visit the Mathematics PG department to explore the syllabus and the links below for general subjects’ syllabus. The Library page also hosts the link to all Subject Syllabus.

  • Mathematics Subject 1
  • Mathematics Subject 2
  • Mathematics Subject 3
  • Mathematics Subject 4
  • Mathematics Subject 5
  • Mathematics Subject 6

Career Options

Graduates with a Master’s degree in Mathematics from PPC possess advanced numerical and logical skills that are highly valued in diverse sectors:

  • Academic Research & Teaching: Pursue a Ph.D. to engage in high-level research or qualify for faculty positions in universities and degree colleges.

  • Data Science and Analytics: Apply advanced statistical and mathematical models to solve complex problems in the technology and business sectors.

  • Scientific Research: Collaborate on projects in fields such as astrophysics or solar physics, utilizing mathematical frameworks to interpret observational data.

  • Actuarial Science: Work in the insurance and financial industries, calculating risk and probability for complex financial products.

  • Computational Modeling: Develop algorithms and mathematical simulations for engineering, meteorology, and pharmaceutical research.

  • Government & Public Sector: Qualify for specialized roles in the Indian Statistical Service (ISS) or research positions in organizations like ISRO.