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CUET PG formulas are kinda the baseline of both numerical and application-based questions across Physics, Chemistry, Mathematics, Statistics, and Life Sciences. If you actually understand the most important CUET PG formulas, then you can solve the questions faster and more accurately even when exam pressure starts building up. A reliable CUET PG 2027 formula list usually includes the core equations that keep coming back in previous years, so it becomes easier to decide what to revise first, without wasting time.
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Also, these CUET PG 2027 formulas aren’t only for rote memorisation, like sure you learn them, but they also help you spot the question patterns and pick a quicker, more straightforward solution route during the exam. Since the CUET PG syllabus 2027 has a lot of conceptual focus, and many questions are formula-driven, knowing where the formulas come from plus how they are used in real problems is just as important as saving the formulas in memory. In this article, we concentrate on the most important CUET PG formulas, the ones that are most frequently asked and also best for quick revision right before the test.
In the CUET PG 2027 exam, a lot of questions directly check how well you can apply a formula. For example, it could be a numerical one in Physics, a derivation-style question in Chemistry, or a short calculation task in Mathematics. Knowing the correct CUET PG exam pattern 2027 along with the correct equation saves time and also reduces silly mistakes that happen when you rush. A proper CUET PG formula list for revision helps candidates attempt questions with more confidence and accuracy, especially when there’s strict time pressure.
CUET PG Maths formulas are frequently tested in direct numerical problems and short conceptual questions.
Topic | Formula |
Quadratic Equation | $ax^2+bx+c=0$ |
Roots of Quadratic | $x=\dfrac{-b\pm\sqrt{b^2-4ac}}{2a}$ |
Sum of Roots | $\alpha+\beta=-\dfrac{b}{a}$ |
Product of Roots | $\alpha\beta=\dfrac{c}{a}$ |
Binomial Theorem | $(a+b)^n=\sum_{k=0}^{n}\binom{n}{k}a^{n-k}b^k$ |
$n$th term of AP | $a_n=a+(n-1)d$ |
Sum of $n$ terms of AP | $S_n=\dfrac{n}{2}[2a+(n-1)d]$ |
$n$th term of GP | $a_n=ar^{n-1}$ |
Inverse of Matrix | $A^{-1}=\dfrac{1}{\det(A)}\operatorname{adj}(A)$ |
Eigenvalue Condition | $\det(A-\lambda I)=0$ |
Topic | Formula |
Limit | $\lim_{x\to0}\dfrac{\sin x}{x}=1$ |
Limit | $\lim_{x\to0}\dfrac{e^x-1}{x}=1$ |
Derivative of $x^n$ | $\dfrac{d}{dx}(x^n)=nx^{n-1}$ |
Derivative of $e^x$ | $\dfrac{d}{dx}(e^x)=e^x$ |
Derivative of $\ln x$ | $\dfrac{d}{dx}(\ln x)=\dfrac{1}{x}$ |
Indefinite Integral | $\int x^ndx=\dfrac{x^{n+1}}{n+1}+C,\ n\ne -1$ |
Indefinite Integral | $\int e^x,dx=e^x+C$ |
Definite Integral | $\int_a^b f(x),dx=F(b)-F(a)$ |
Mean Value Theorem | $f'(c)=\dfrac{f(b)-f(a)}{b-a}$ |
Topic | Formula |
Separable Differential Equation | $\dfrac{dy}{dx}=g(x)h(y)$ |
Solution of Separable DE | $\int\dfrac{1}{h(y)}dy=\int g(x)dx$ |
Linear Differential Equation | $\dfrac{dy}{dx}+Py=Q$ |
General Solution of Linear DE | $y=e^{-\int Pdx}\left(\int Q e^{\int Pdx}dx+C\right)$ |
Topic | Formula |
Dot Product | $\vec{a}\cdot\vec{b} = |\vec{a}||\vec{b}|\cos\theta$ or in components $\vec{a}\cdot\vec{b} = a_xb_x + a_yb_y + a_zb_z$ |
Cross Product | $|\vec{a}\times\vec{b}| = |\vec{a}||\vec{b}|\sin\theta$ Cross Product (components) $\vec{a}\times\vec{b} = (a_yb_z-a_zb_y)\hat{i} + (a_zb_x-a_xb_z)\hat{j} + (a_xb_y-a_yb_x)\hat{k}$ |
Projection of $\vec {a} $ on $\vec {b}$ | $\text{comp}_{\vec{b}}(\vec{a}) = \dfrac{\vec{a}\cdot\vec{b}}{|\vec{b}|}$ Projection vector |
Topic | Formula |
Probability (Addition Law) | $P(A\cup B) = P(A) + P(B) - P(A\cap B)$ |
Conditional Probability | $P(A\mid B) = \dfrac{P(A\cap B)}{P(B)},\ P(B)\neq 0$ |
Mean (Arithmetic Mean) | $\bar{x} = \dfrac{1}{n}\sum_{i=1}^{n} x_i$ |
Variance (Population) | $\sigma^2 = \dfrac{1}{n}\sum_{i=1}^{n}(x_i - \bar{x})^2$ |
Standard Deviation | $\sigma = \sqrt{\dfrac{1}{n}\sum_{i=1}^{n}(x_i - \bar{x})^2}$ |
Topic | Formula |
Objective Function | $\text{Max/Min } Z = ax + by$ |
Optimal Solution | Lies at a corner point of the feasible region |
Physics questions typically combine formula recall with physical interpretation.
Concept | Formula |
Taylor Expansion | $f(x) = f(a) + (x-a)f'(a) + \dfrac{(x-a)^2}{2!}f''(a) + \cdots$ |
Jacobian | $J = \dfrac{\partial(x,y)}{\partial(u,v)}$ |
Gradient | $\nabla f$ |
Divergence | $\nabla\cdot\vec{A}$ |
Curl | $\nabla\times\vec{A}$ |
Theorem | Formula |
Gauss Divergence Theorem | $\displaystyle \iiint (\nabla\cdot\vec{A})dV = \iint \vec{A}\cdot d\vec{S}$ |
Green’s Theorem | $\displaystyle \oint (Pdx + Qdy) = \iint \left(\dfrac{\partial Q}{\partial x} - \dfrac{\partial P}{\partial y}\right)dA$ |
Stokes’ Theorem | $\displaystyle \oint \vec{A}\cdot d\vec{l} = \iint (\nabla\times\vec{A})\cdot d\vec{S}$ |
Concept | Formula |
First-order Linear DE | $\dfrac{dy}{dx} + Py = Q$ |
Second-order Linear DE (homogeneous) | $a y'' + b y' + c y = 0$ |
Euler’s Formula | $e^{i\theta} = \cos\theta + i\sin\theta$ |
Concept | Formula |
Newton’s Second Law | $\vec{F} = m\vec{a}$ |
Centripetal Force | $F = \dfrac{mv^2}{r}$ |
Coriolis Force | $\vec{F_c} = -2m(\vec{\omega}\times\vec{v})$ |
Gravitational Force | $F = \dfrac{GMm}{r^2}$ |
Concept | Formula |
Linear Momentum | $\vec{p} = m\vec{v}$ |
Angular Momentum | $\vec{L} = \vec{r}\times\vec{p}$ |
Kinetic Energy | $K = \dfrac{1}{2}mv^2$ |
Moment of Inertia | $I = \sum mr^2$ |
Parallel Axis Theorem | $I = I_{cm} + Md^2$ |
Rotational Kinetic Energy | $K = \dfrac{1}{2}I\omega^2$ |
Concept | Formula |
Continuity Equation | $A_1 v_1 = A_2 v_2$ |
Bernoulli’s Equation | $P + \dfrac{1}{2}\rho v^2 + \rho g h = \text{constant}$ |
Concept | Formula |
SHM Equation | $x = A\sin(\omega t + \phi)$ |
Angular Frequency (spring–mass) | $\omega = \sqrt{\dfrac{k}{m}}$ |
Time Period | $T = \dfrac{2\pi}{\omega}$ |
Damped Oscillator | $x = A e^{-bt/2}\sin(\omega t)$ |
Concept | Formula |
Wave Equation | $\dfrac{\partial^2 y}{\partial x^2} = \dfrac{1}{v^2}\dfrac{\partial^2 y}{\partial t^2}$ |
Wave Speed | $v = \nu \lambda$ |
Group Velocity | $v_g = \dfrac{d\omega}{dk}$ |
Concept | Formula |
Lens Formula | $\dfrac{1}{f} = \dfrac{1}{v} + \dfrac{1}{u}$ |
Magnification | $m = \dfrac{v}{u}$ |
YDSE Fringe Width | $\beta = \dfrac{\lambda D}{d}$ |
Rayleigh Criterion | $\theta = 1.22\dfrac{\lambda}{D}$ |
Bragg’s Law | $n\lambda = 2d\sin\theta$ |
Concept | Formula |
Coulomb’s Law | $F = \dfrac{1}{4\pi\varepsilon_0}\dfrac{q_1 q_2}{r^2}$ |
Gauss’s Law | $\displaystyle \oint \vec{E}\cdot d\vec{S} = \dfrac{Q}{\varepsilon_0}$ |
Electric Potential | $V = \dfrac{1}{4\pi\varepsilon_0}\dfrac{q}{r}$ |
Capacitance | $C = \dfrac{Q}{V}$ |
Concept | Formula |
Biot–Savart Law | $d\vec{B} = \dfrac{\mu_0}{4\pi}\dfrac{Id\vec{l}\times \hat{r}}{r^2}$ |
Lorentz Force | $\vec{F} = q(\vec{E} + \vec{v}\times\vec{B})$ |
Cyclotron Frequency | $\omega = \dfrac{qB}{m}$ |
Impedance (LCR in series) | $Z = \sqrt{R^2 + \left(\omega L - \dfrac{1}{\omega C}\right)^2}$ |
Resonance Frequency | $\omega_0 = \dfrac{1}{\sqrt{LC}}$ |
Concept | Formula |
Mean Kinetic Energy (per molecule) | $\dfrac{3}{2}kT$ |
RMS Speed | $v_{\text{rms}} = \sqrt{\dfrac{3kT}{m}}$ |
Ideal Gas Law | $PV = nRT$ |
First Law of Thermodynamics | $dQ = dU + dW$ |
Carnot Efficiency | $\eta = 1 - \dfrac{T_2}{T_1}$ |
Clausius–Clapeyron Equation | $\dfrac{dP}{dT} = \dfrac{L}{T(V_2 - V_1)}$ |
Concept | Formula |
Lorentz Factor | $\gamma = \dfrac{1}{\sqrt{1 - v^2/c^2}}$ |
Mass–Energy Relation | $E = mc^2$ |
Photoelectric Effect | $h\nu = \phi + K_{\text{max}}$ |
Compton Shift | $\Delta\lambda = \dfrac{h}{mc}(1-\cos\theta)$ |
de Broglie Wavelength | $\lambda = \dfrac{h}{p}$ |
Uncertainty Principle | $\Delta x\Delta p \ge \dfrac{\hbar}{2}$ |
Particle in a 1D Box | $E_n = \dfrac{n^2 h^2}{8mL^2}$ |
Radioactive Decay Law | $N = N_0 e^{-\lambda t}$ |
Half-Life | $T_{1/2} = \dfrac{0.693}{\lambda}$ |
Concept | Formula |
Density of States (3D) | $g(E) \propto \sqrt{E}$ |
Conductivity | $\sigma = nq\mu$ |
Drift Velocity | $v_d = \mu E$ |
Diode Equation | $I = I_0\left(e^{V/\eta V_T} - 1\right)$ |
Concept | Formula |
CE Amplifier Gain | $A_v = \dfrac{V_o}{V_i}$ |
Barkhausen Condition | $A\beta = 1$ |
OPAMP (Inverting) | $A_v = -\dfrac{R_f}{R_i}$ |
OPAMP (Non-Inverting) | $A_v = 1 + \dfrac{R_f}{R_i}$ |
De Morgan’s Theorems | $(A+B)' = A'B'$ , $(AB)' = A' + B'$ |
Chemistry questions in CUET PG primarily test conceptual clarity through standard formulas, with most problems requiring direct application of physical, inorganic, and organic chemistry relations.
Concept | Formula |
Ideal Gas Equation | $PV = nRT$ |
van der Waals Equation | $\left(P + \dfrac{a}{V_m^{2}}\right)(V_m - b) = RT$ |
Compressibility Factor | $Z = \dfrac{PV_m}{RT}$ |
RMS Speed | $v_{\text{rms}} = \sqrt{\dfrac{3RT}{M}}$ |
Mean Free Path | $\lambda = \dfrac{kT}{\sqrt{2\pi}d^{2}P}$ |
Concept | Formula |
Raoult’s Law | $P = X_A P_A^0$ |
Relative Lowering of Vapour Pressure | $\dfrac{\Delta P}{P^0} = X_B$ |
Elevation of Boiling Point | $\Delta T_b = K_b m$ |
Depression of Freezing Point | $\Delta T_f = K_f m$ |
Osmotic Pressure | $\pi = C R T$ |
van’t Hoff Factor | $i = \dfrac{\text{observed}}{\text{calculated}}$ |
Concept | Formula |
pH | $\text{pH} = -\log[H^+]$ |
Ionic Product of Water | $K_w = 10^{-14}$ |
Acid Dissociation Constant | $K_a = \dfrac{[H^+][A^-]}{[HA]}$ |
Henderson–Hasselbalch Equation | $\text{pH} = pK_a + \log\dfrac{[\text{salt}]}{[\text{acid}]}$ |
Debye–Hückel Limiting Law | $\log\gamma = -0.509z^2\sqrt{I}$ |
Concept | Formula |
First Law | $dU = \delta Q - \delta W$ |
Enthalpy | $H = U + PV$ |
Heat Capacity Relation | $C_p - C_v = R$ |
Gibbs Free Energy | $G = H - TS$ |
Spontaneity Condition | $\Delta G < 0$ |
Maxwell Relation (example) | $\left(\dfrac{\partial T}{\partial V}\right)_S = -\left(\dfrac{\partial P}{\partial S}\right)_V$ |
Clausius–Clapeyron Equation | $\ln P = -\dfrac{\Delta H_{\text{vap}}}{RT} + C$ |
Concept | Formula |
Gibbs Phase Rule | ( F=C-P+2 ) |
Reduced Phase Rule | ( F=C-P+1 ) |
Concept | Formula |
Rate Law | $r = k[A]^m[B]^n$ |
First-Order Integrated Law | $\ln\left(\dfrac{[A]_0}{[A]}\right) = kt$ |
Half-Life (First Order) | $t_{1/2} = \dfrac{0.693}{k}$ |
Arrhenius Equation | $k = A e^{-E_a/RT}$ |
Concept | Formula |
Nernst Equation | $E = E^0 - \dfrac{0.0591}{n}\log Q$ |
Gibbs Free Energy | $\Delta G = -nFE$ |
Conductivity | $\kappa = \dfrac{l}{RA}$ |
Molar Conductivity | $\Lambda_m = \dfrac{\kappa}{c}$ |
Concept | Formula |
Freundlich Isotherm | $\dfrac{x}{m} = K P^{1/n}$ |
Langmuir Isotherm | $\dfrac{1}{V} = \dfrac{1}{V_m} + \dfrac{1}{K V_m P}$ |
Concept | Formula |
de Broglie Wavelength | $\lambda = \dfrac{h}{mv}$ |
Uncertainty Principle | $\Delta x\Delta p \ge \dfrac{\hbar}{2}$ |
Hydrogen-like Energy Levels | $E_n = -\dfrac{13.6,Z^2}{n^2}\ \text{eV}$ |
Concept | Formula |
Born–Landé Equation | $U = \dfrac{N_AMz^+z^-e^2}{4\pi\varepsilon_0r_0}\left(1-\dfrac{1}{n}\right)$ |
Dipole Moment | $\mu = q r$ |
Concept | Formula |
Effective Atomic Number | $\text{EAN} = Z - \text{oxidation state} + \text{ligand electrons}$ |
Spin-Only Magnetic Moment | $\mu = \sqrt{n(n+2)}\ \text{BM}$ |
Stability Constant | $K = \dfrac{[ML]}{[M][L]}$ |
Concept | Formula |
Density of Unit Cell | $\rho = \dfrac{ZM}{a^{3}N_A}$ |
Bragg’s Law | $n\lambda = 2d\sin\theta$ |
Concept | Formula |
Beer–Lambert Law | $A = \varepsilon c l$ |
IR Stretching Frequency | $\nu = \dfrac{1}{2\pi}\sqrt{\dfrac{k}{\mu}}$ |
NMR Chemical Shift | $\delta = \dfrac{\nu - \nu_0}{\nu_0}\times 10^6$ |
UV–Vis Transition | $\Delta E = h\nu$ |
Concept | Formula |
SN1 Rate | $\text{Rate} = k[R-X]$ |
SN2 Rate | $\text{Rate} = k[R-X][Nu^-]$ |
E2 Rate | $\text{Rate} = k[R-X][Base]$ |
Optical Rotation | $[\alpha] = \dfrac{\alpha}{lc}$ |
Aromaticity Rule | $4n+2\ \pi\ \text{electrons}$ |
Concept | Formula |
Radioactive Decay Law | $N = N_0 e^{-\lambda t}$ |
Half-Life | $t_{1/2} = \dfrac{0.693}{\lambda}$ |
A CUET PG formula sheet for the exam is designed for fast, stress-free revision of CUET PG key formulas across subjects. It consolidates important formulas for CUET PG into a structured CUET PG formula list, helping candidates recall CUET PG 2027 exam and CUET PG mock test 2027 formulas quickly during the final preparation phase. A proper sheet focuses only on high-frequency, application-oriented formulas.
Subject | Chapter / Unit | Important CUET PG Formulas to Revise |
Mathematics | Algebra | Quadratic roots, determinants, inverse of a matrix, eigenvalue condition |
Calculus | Limits, standard derivatives, standard integrals, and definite integral properties | |
Differential Equations | Linear DE, integrating factor, general solution | |
Probability & Statistics | Bayes’ theorem, mean, variance | |
Physics | Mechanics | Equations of motion, work–energy, and angular momentum |
Oscillations & Waves | SHM equations, wave speed ( v = f\lambda ) | |
Thermodynamics | First law, Carnot efficiency | |
Electricity & Magnetism | Coulomb’s law, Ohm’s law, Lorentz force | |
Modern Physics | Photoelectric equation, radioactive decay law | |
Chemistry | Physical Chemistry | Thermodynamic relations, Arrhenius equation, Nernst equation |
Chemical Kinetics | Rate law, first-order reactions, half-life | |
Solutions | Raoult’s law, colligative properties | |
Organic Chemistry | pH, Henderson–Hasselbalch equation, SN1/SN2 rate laws | |
Inorganic Chemistry | CFSE, magnetic moment, bond order | |
Revision Tip | Usage | Revise twice daily in the final week |
Exam Strategy | Focus | High-weightage numerical formulas only |
CUET PG exam important equations are essential for solving numerical and application-based questions accurately and within time limits. Revising important equations for CUET PG helps candidates apply concepts quickly, avoid calculation errors, and recognise recurring question patterns. A focused revision of CUET PG key equations, especially before the exam, significantly improves speed and confidence.
Subject | Topic | Formula |
Mathematics | Quadratic Formula | $x=\frac{-b \pm \sqrt{b^2-4 a c}}{2 a}$ |
Derivative of a Power Function | $\frac{d}{d x}\left(x^n\right)-n x^{n-1}$ | |
Conditional Probability | $P(A \mid B)=\frac{P(A \cap B)}{P(B)}$ | |
Physics | First Equation of Motion | $v-u+a t$ |
Coulomb's Law | $F=\frac{1}{4 \pi \varepsilon_0} \frac{q_1 q_2}{r^2}$ | |
Mass-Energy Equivalence | $E-m c^2$ | |
Chemistry | Gibbs Free Energy Equation | $\Delta G-\Delta H-T \Delta S$ |
Arrhenius Equation | $k-A e^{-\frac{N}{1 N}}$ | |
Nernst Equation | $E-E^{\circ}-\frac{0.0591}{n} \log Q$ |
If you are prepping for CUET PG, it’s not really about just memorising formulas and calling it done. Students should aim for understanding what each equation is actually saying, not only rote stuff. Then practice using it in exam-like questions, and revise it again and again, till it feels natural. Some simple approaches can help you keep formulas longer in your mind, and also recall them faster during the paper.
Strategy | How to Apply It | Benefit |
Understand the Concept First | Learn the derivation and practical application of each formula instead of memorising it in isolation. | Improves conceptual clarity and reduces confusion during problem-solving. |
Prepare a Formula Notebook | Maintain a subject-wise notebook containing only important formulas and key identities. | Enables quick revision before mock tests and the final examination. |
Use Flashcards | Write the formula on one side and its application or related concept on the other. Review them regularly. | Enhances long-term memory through active recall. |
Practise Formula-Based Questions | Solve numerical and previous years' questions immediately after learning a formula. | Strengthens understanding and improves application speed. |
Revise Using Spaced Repetition | Review formulas after 1 day, 3 days, 7 days, and 15 days instead of cramming. | Improves long-term retention and reduces forgetting. |
Create Subject-wise Formula Sheets | Summarise the most important formulas for Mathematics, Physics, Chemistry, and other subjects on one or two pages. | Makes last-minute revision more efficient. |
Take Regular Mock Tests | Attempt mock tests under timed conditions and identify formulas that are frequently forgotten. | Improves exam readiness and accuracy under pressure. |
Revise Daily for 15–20 Minutes | Allocate a fixed time each day to revise formulas rather than studying them only before the exam. | Builds confidence and ensures faster recall during the examination. |
In this section, you can find subject-wise CUET PG 2026 question papers with solutions. Students may use these resources to get detailed analysis, memory-based questions, and also download the question paper PDF for each subject of the CUET PG 2027 exam.
Title | Link |
CUET PG Question Paper 2026 for Economics | |
CUET PG Zoology Question Paper 2026 | |
CUET PG Mathematics Question Paper 2026 | |
CUET PG Political Science Question Paper 2026 | |
CUET PG Statistics Question Paper 2026 | |
CUET PG General Test Question Paper 2026 | |
CUET PG Life Science Question Paper 2026 | |
CUET PG Chemistry Question Paper 2026 | |
CUET PG English Question Paper 2026 | |
CUET PG Biochemistry Question Paper 2026 | |
CUET PG Commerce Question Paper 2026 | |
CUET PG Geography Question Paper 2026 | |
CUET PG Sociology Question Paper 2026 | |
CUET PG Psychology Question Paper 2026 | |
CUET PG History Question Paper 2026 |
Frequently Asked Questions (FAQs)
The most important CUET PG formulas are those directly linked to high-weightage chapters in the syllabus. These typically include core equations from calculus, linear algebra, thermodynamics, chemical kinetics, electrochemistry, classical mechanics, optics, and key biochemical pathways, depending on the subject chosen.
CUET PG formula-based questions are rarely plug-and-play. Most questions test whether candidates understand when and how to apply a formula rather than simple substitution.
A formula sheet is useful only if it is paired with problem practice. Memorising formulas without solving previous year and mock questions often leads to confusion during the exam.
Yes. While questions are not repeated verbatim, the same set of core formulas appears repeatedly across years, especially in fundamental topics that form the base of postgraduate-level assessment.
In the final week, revision should focus on frequently tested formulas, unit consistency, boundary conditions, and common formula traps. Avoid learning new formulas at this stage and instead strengthen recall through timed practice.
On Question asked by student community
Hi,
You can check the CUET PG applied psychology previous question paper by clicking on the link below.
You can check the CUET PG 2026 life science question paper and solutions on the Careers360 website once they are released.
For your preparation for the CUET PG exam (Masters in Public Health - MPH), it is important to go through the previous year question papers. Here is the list of CUET MPH previous year question papers to help you structure your study plan.
CUET PG MPH Previous Year Question Papers
Hello there,
For upcoming CUET PG, it is important to prepare well in order to score good. As for Psychology MCQ, i am providing you with a link: just visit the link. Please tap on the link mentioned below to open it:
https://university.careers360.com/articles/cuet-psychology-question-paper
Thankyou.
Good evening,
I want to inform you that two universities accept the CUET score for postgraduate admission to MPharma. Central university of Gujarat and Indian institute of teacher education, Gandhinagar.
Thank You.
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