The Andhra Pradesh Post Graduate Engineering Common Entrance Test (AP PGECET) 2025 syllabus is tailored to the specific subject chosen by the candidate, aligning with their undergraduate specialization. The syllabus encompasses various topics pertinent to each discipline. Below is an overview of the syllabus for some key engineering streams:

1. Biotechnology:

• Engineering Mathematics:

  • Linear Algebra: Matrices and determinants, systems of linear equations, eigenvalues and eigenvectors.

  • Calculus: Limit, continuity, and differentiability; partial derivatives; maxima and minima; sequences and series; tests for convergence; Fourier series.

  • Differential Equations: Linear and nonlinear first-order ODEs; higher-order ODEs with constant coefficients; Cauchy’s and Euler’s equations; Laplace transforms; PDEs—Laplace, heat, and wave equations.

• Biotechnology Topics:

  • Microbiology: Methods in microbiology; microbial growth and nutrition; control of microorganisms; microbial diseases and host-pathogen interaction.

  • Biochemistry: Biomolecules; enzyme kinetics; metabolism and bioenergetics; vitamins and coenzymes.

  • Molecular Biology and Genetics: DNA replication, repair, and recombination; transcription and translation; gene expression in prokaryotes and eukaryotes; Mendelian inheritance; gene mapping.

  • Process Biotechnology: Bioprocess technology for the production of cell biomass and primary/secondary metabolites; bioreactor design and analysis; downstream processing.

  • Plant and Animal Biotechnology: Plant tissue culture; transgenic plants; animal cell culture; vaccines.

  • Immunology: Immune system components; antigen-antibody interactions; vaccines; hypersensitivity.

  • Bioinformatics: Biological databases; sequence analysis; phylogenetic analysis.

2. Chemical Engineering:

• Engineering Mathematics:

  • Linear Algebra: Matrix algebra; systems of linear equations; eigenvalues and eigenvectors.

  • Calculus: Functions of a single variable; limit, continuity, and differentiability; mean value theorems; evaluation of definite and improper integrals; partial derivatives; total derivative; maxima and minima; gradient, divergence, and curl; vector identities; directional derivatives; line, surface, and volume integrals; theorems of Stokes, Gauss, and Green.

  • Differential Equations: First-order equations (linear and nonlinear); higher-order linear differential equations with constant coefficients; Euler and Cauchy equations; initial and boundary value problems; Laplace transforms; solutions of one-dimensional heat and wave equations and Laplace equation.

  • Complex Variables: Analytic functions; Cauchy’s integral theorem and integral formula; Taylor and Laurent series.

  • Probability and Statistics: Definitions of probability and sampling theorems; conditional probability; mean, median, mode, and standard deviation; random variables; Poisson, normal, and binomial distributions.

  • Numerical Methods: Solutions of nonlinear algebraic equations; numerical integration; Newton’s and Simpson’s rules; numerical solutions of ordinary differential equations; Euler’s and Runge-Kutta methods.

• Chemical Engineering Topics:

  • Process Calculations and Thermodynamics: Laws of conservation of mass and energy; recycle, bypass, and purge calculations; laws of thermodynamics; phase equilibria; chemical reaction equilibria.

  • Fluid Mechanics and Mechanical Operations: Fluid properties; fluid statics; Bernoulli equation; flow through pipelines; pumps and compressors; size reduction; filtration; centrifuges; mixing.

  • Heat Transfer: Conduction, convection, and radiation; heat exchangers; evaporation; condensation and boiling.

  • Mass Transfer: Diffusion; mass transfer coefficients; distillation; absorption; extraction; drying; adsorption.

  • Chemical Reaction Engineering: Kinetics of homogeneous reactions; batch and flow reactors; catalysis; non-ideal reactors.

  • Instrumentation and Process Control: Measurement of process variables; process dynamics; control strategies; control valves.

  • Plant Design and Economics: Design principles; cost estimation; economic evaluation; process optimization.

3. Civil Engineering:

• Engineering Mathematics:

  • Linear Algebra: Matrix algebra; systems of linear equations; eigenvalues and eigenvectors.

  • Calculus: Functions of a single variable; limit, continuity, and differentiability; mean value theorems; evaluation of definite and improper integrals; partial derivatives; total derivative; maxima and minima; gradient, divergence, and curl; vector identities; directional derivatives; line, surface, and volume integrals; theorems of Stokes, Gauss, and Green.

  • Differential Equations: First-order equations (linear and nonlinear); higher-order linear differential equations with constant coefficients; Euler and Cauchy equations; initial and boundary value problems; Laplace transforms; solutions of one-dimensional heat and wave equations and Laplace equation.

  • Complex Variables: Analytic functions; Cauchy’s integral theorem and integral formula; Taylor and Laurent series.

  • Probability and Statistics: Definitions of probability and sampling theorems; conditional probability; mean, median, mode, and standard deviation; random variables; Poisson, normal, and binomial distributions.

  • Numerical Methods: Solutions of nonlinear algebraic equations; numerical integration; Newton’s and Simpson’s rules; numerical solutions of ordinary differential equations; Euler’s and Runge-Kutta methods.

• Civil Engineering Topics:

  • Structural Engineering: Mechanics; structural analysis; concrete structures; steel structures.

  • Geotechnical Engineering: Soil mechanics; foundation engineering.

  • Water Resources Engineering: Fluid mechanics; hydraulics; hydrology; irrigation.

  • Environmental Engineering: Water and wastewater quality; water supply and treatment