. NIIT University MBA Admission Procedure | MBA Selection process

Thank you for your response.

Our Admission Team would get in touch with you soon.

Enter your details to get program information

Select State
Select Programme

An OTP has been sent to your mobile no.

Please enter to complete your registration

Click here to submit again if mobile number entered was incorrect.

If you still did not receive 4 digit code, please write to admissions@nituniversity.in or call 1800-103-5050


MBA- Admission Process

The NU MBA uses a well-defined selection process. Following are the components of the Selection Process:

  • Filling up of the Application form
  • NU Management Aptitude Test
  • Psychometric Profiling for Learnability
  • Group Discussion
  • Personal Interview
  • Background verification for shortlisted candidates

Stage I

NU Management Aptitude Test– All invited candidates would need to undertake the NU Management Aptitude Test. The test will measure management aptitude in three areas– Quantitative Ability, Verbal Ability & Reading Comprehension and Data Interpretation & Logical Reasoning. The duration of the test will be one hour and the questions will be multiple choice.

Syllabus for the proficiency test (Maths)

  1. Set theory: basic set operations, order of finite set, Cartesian product, Venn diagrams
  2. Solution of Quadratic equations with real coefficients.
  3. Arithmetic, geometric and harmonic progressions, arithmetic, geometric and harmonic means, sums of finite arithmetic and geometric progressions, infinite geometric series, sums of squares and cubes of the first n natural numbers.
  4. Permutations and combinations, Binomial theorem for a positive integral index, properties of binomial coefficients.
  5. Matrices as a rectangular array of real numbers, equality of matrices, addition, multiplication by a scalar and product of matrices, transpose of a matrix, determinant of a square matrix, inverse of a square matrix, properties of these matrix operations, diagonal, symmetric and skew-symmetric matrices and their properties, solutions of simultaneous linear equations using matrices. Gauss-Jordan Method of Solution of simultaneous linear equations.
  6. Linear Algebra: Dependence & independence of vectors, bases and dimensions, spanning, properties of quadratic forms.
  7. Two dimensions: Cartesian coordinates, distance between two points, shift of origin. Equation of a straight line in various forms, distance of a point from a line; Lines through the point of intersection of two given lines, equation of the bisector of the angle between two lines; Equation of a circle, equations of tangent, normal and chord.
  8. Differential calculus: Real valued functions of a real variable, into, onto and one-to-one functions, sum, difference, product and quotient of two functions, composite functions, absolute value, polynomial, rational, exponential and logarithmic functions. Limit and continuity of a function, limit and continuity of the sum, difference, product and quotient of two functions, Even and odd functions, inverse of a function, continuity of composite functions, intermediate value property of continuous functions. Derivative of a function, derivative of the sum, difference, product and quotient of two functions, chain rule, derivatives of polynomial, rational, exponential and logarithmic functions. Derivatives of implicit functions; increasing and decreasing functions, maximum and minimum values of a function; partial derivatives; Lagrange’s Mean Value Theorem; Applications: maxima and minima, optimization.
  9. Integral calculus: Integration as the inverse process of differentiation, indefinite integrals of standard functions, definite integrals and their properties. Integration by parts, integration by the methods of substitution and partial fractions, application of definite integrals to the determination of areas involving simple curves, continuous compounding, average value of functions.
  10. Formation of ordinary differential equations, solution of homogeneous differential equations, separation of variables method, linear first order differential equations.
  11. Numerical Analysis: solution of polynomial & transcendental equations using numerical methods such as Bisection, Newton-Raphson methods, Lagrange’s and Newton’s Interpolating polynomials.

Stage II

Psychometric Profiling for Learnability— All shortlisted candidates will undertake the psychometric profiling questionnaire and appear for Group Discussion, Communication Proficiency Test and Personal Interview. The psychometric profiling score will be used only to identify elements of the personality that can be built upon.

Group Discussion, Communication Proficiency Test, Personal Interview— These components will be used to explore the Quality of Work experience, Communication Skills, High Drive for Results, Influencing Ability, Process Orientation, Analytical skills and Interpersonal effectiveness.