AP PGCET 2026 Syllabus

The AP PGCET 2026 syllabus has been designed to assess a candidate’s ability to grasp the fundamental concepts and problem-solving skills in their chosen field of study. The syllabus is further divided into two main sections.

General Section (Common for All Disciplines):

Engineering Mathematics:

• Algebra
• Calculus
• Differential Equations
• Probability
• Statistics
• Linear Algebra

Basic Engineering & Science:

• Electrical and Mechanical Engineering
• Physics
• Chemistry

Core Subject Sections (Course-Specific):

Computer Science & IT:

• Compiler Design
• Information Systems & Software Engineering
• Programming & Data Structures
• Web Technologies
• Computer Networks
• Engineering Mathematics

Civil Engineering:

• Structural Engineering (Analysis & Design)
• Soil Mechanics
• Fluid Mechanics
• Foundation Engineering

Mechanical Engineering:

• Strength of Materials
• Thermodynamics
• Manufacturing Processes
• Robotics
• Fluid Mechanics

Electronics & Communication:

• Signals & Systems
• Networks
• Analog & Digital Circuits
• Communication Systems
• Microprocessors

Electrical Engineering:

• Electric Circuits
• Control Systems
• Power Systems
• Electrical Machines
• Measurement

Pharmacy:

• Pharmaceutical Chemistry (Organic, Medicinal)
• Pharmaceutics
• Pharmacology
• Pharmacognosy
• Biopharmaceutics & Pharmacokinetics

Following is a detailed syllabus breakdown for the major streams, based on the latest information for AP PGCET 2026.

Engineering Mathematics (Civil, Mechanical, Electrical, ECE):

• Linear Algebra: Matrix algebra, systems of linear equations, eigenvalues and eigenvectors.
• Calculus: Single variable functions, limits, continuity, differentiability, mean value theorems, definite/integrals, partial derivatives, maxima/minima, vector calculus (gradient, divergence, curl), line/surface/volume integrals, Stokes, Gauss, and Green's theorems.
• Differential Equations: First order (linear/nonlinear), higher order with constant coefficients, Cauchy’s/Euler’s equations, initial/boundary value problems, Laplace transforms, solutions to heat/wave/Laplace equations.
• Complex Variables: Analytic functions, Cauchy’s theorem, Taylor/Laurent series.
• Probability and Statistics: Probability, sampling theorems, conditional probability, mean, median, mode, standard deviation, random variables, distributions (exponential, Poisson, normal, binomial).
• Numerical Methods: Solutions to linear/nonlinear equations, integration methods, single/multi-step methods for differential equations.

1. Civil Engineering:

2. Mechanical Engineering:

3. Electrical Engineering:

4. Electronics & Communication Engineering:

5. Computer Science & Information Technology:

6. Pharmacy: