The LNM Institute of Information Technology

ADMISSIONS
Postgraduate Admissions 2017
  • Programmes
    Offered
     
  • Eligibility
    Criteria
  • Highlights
     
  • Admission
    Procedure
  • Syllabus for
    Written Test
  • Financial
    Support
  • Major Research
    Areas

  • Apply Now
  • Fee
     
  • Important
    Dates
  • Contact
    Us

Post-Graduate Programmes Offered:

Master of Science (M.Sc.)
  • Mathematics
  • Physics
  • M.Sc. (Physics) with specialization in Material Science or Theoretical Physics
Master of Technology (M.Tech.)
  • Computer Science and Engineering
  • Computer Science and Engineering with specialization in Data Analytics and Software Engineering
  • Electronics and Communication Engineering
  • Electronics and Communication Engineering (Specialization in Mobile Communication, VLSI & Embedded Systems Design )
Doctor of Philosophy (Ph.D)
  • Computer Science and Engineering
  • Electronics and Communication Engineering
  • Computer and Communication Engineering
  • Mechanical Engineering
  • Physics
  • Mathematics
  • Humanities and Social Sciences

M.Sc.
  • A minimum of 55 % or equivalent on CPI. CGPA in scale in Three years B.Sc. ( Honours in Physics/Applied Physics or Honours in Electronics/ Material Science/ Computer Science /Chemistry/Mathematics/statistics with physics is one of the major subject.
  • OR

  • Four years B.Tech/B.E/B.Sc (Engg.) in any branch of engineering.
  • OR

  • Three years general B.Sc. degree (with physics is one of the major subject)
M. Tech. (CSE)
  • B.E. / B. Tech. (In appropriate branch of Engineering & Technology) with 60 % marks / CPI of 6.5 on a 10 point scale.

OR

  • MCA/ M. Sc. (Electronics / Computer Science / IT / Mathematics / Statistics) with 60 % marks/ CPI of 6.5 on a 10 point scale.
M. Tech. (ECE)
  • B.E. / B. Tech. (ECE/EE/ICT/ICE and equivalent discipline) with 60 % marks / CPI of 6.5 on a 10 point scale.
  • OR

  • M. Sc. (Electronics / Computer Science / IT / Physics) with 60 % marks/ CPI of 6.5 on a 10 point scale.
Ph.D. in Engineering (CSE, ECE, CCE, ME, MME)
  • Master's degree in engineering with 60 % marks / CPI of 6.5 on a 10 point scale.
  • OR

  • Bachelor's degree in engineering in relevant field or science (4 year program) with a minimum of 70 % marks/ CPI of 7.5 on a 10 point scale and a valid GATE score.
  • OR

  • MCA/ M. Sc. (Electronics/ Computer Science/ Mathematics) while satisfying each of the following criteria:
    • a minimum of 70 % marks/ CPI of 7.5 on a 10 point scale in the master's degree,
    • first division in bachelor's degree.
Ph.D. in Humanities and Social Sciences (HSS)
  • Master's degree in related subject/ relevant areas with 55% marks / CPI of 6.0 on a 10 point scale.

HIGHLIGHTS

SALIENT FEATURES & ACHIEVEMENTS
  • Faculty members with Ph.D. degrees from premier institutions of India and abroad with extensive research and industrial experience
  • Ranked 5th in Employability by EDU -RAND (2016) (www.pickacollege.digit.in )
  • Ranked 4th in Private University category and 29th amongst engineering institutions in India including IITs, NITs, and IIITs by EDU Rand in 2016. http://pickacollege.digit.in/best-private-engineering-colleges
  • "University of the Year” by Higher Education Review in 2015.
  • Strong alumni Base working in top industries and/ or pursuing Ph.D. in premier institutes of India and abroad
  • MHRD-National Institute Ranking Framework (NIRF) 2016 - All India Rank - 85th; Rank in Rajasthan State: 3rd. https://www.nirfindia.org/univ
  • Ongoing Collaborations with various overseas Institutes in USA, France, Sweden, UK, Spain, Singapore, Taiwan, Switzerland, Russia etc.
  • For GATE/NET/SET/SLET qualified students, stipend as per UGC norms.
  • Financial support in the form of teaching assistantship to other students.
  • Part financial assistance for national and international travel to present research.
  • Focus on emerging research areas such as, Internet of Things (IoT), 5G, Big Data Analytics, Nano-Materials, Privacy and Security etc.
  • Option of semester-long industrial/ research internship


Major Funded Research Projects (Approximate value ~3.5 crores during past 3 years)
  • ICSSR funded research project on "Ethnic Conflict and Literature on Indian Sub-continent"
  • Information Technology Research Academy (ITRA), DeitY, Govt. of India- funded project on "Cognitive Radio"
  • UGC-DAE Consortium for Scientific Research, Indore funded project on "Detection of biomolecular interactions with TMR based sensing using magnetic nanotags”
  • Department of Electronics and Information Technology, Govt. of India funded project on " Magnetoresistive effects in epitaxial Zn(Ni)O based diluted magnetic semiconductor tunnel junctions”
  • DST, Govt. of India funded project on magnetoresistive effects in epitaxial Zn(Ni)O based diluted magnetic semiconductor tunnel junctions”
  • SERB, Govt. India funded project on "Non-equilibrium dynamics of quantum fields in cosmology with applications to dark energy and inflation"
  • CSIR, Govt. of India funded project on "Development of Solar Cells Utilizing Quantum Dot sensitized Titanium Oxide Nanotube"
  • SERB, Govt. India funded project on "Design and analysis of content distribution framework for Digital Rights Management System based on cryptographic primitives"
  • MNRE, Govt. of India funded project on “Green campus development” under the mission of solar cities program


Conferences and Workshops in 2016-2017
  • 5th International Conference on Advances in Computing, Communications, and Informatics (~600 delegates participated)
  • Successfully organized All India Student - Young Professionals - Women in Engineering Congress (AISYWC) (~300 students including 30 young professionals participated)
  • Innovations in Software Engineering Conference (Formerly known as India Software Engineering Conference)
  • ASME E-Fest Asia Pacific- in March 2017
  • Workshop on Diffusion and Sub-Diffusion Problems: Theories Numerics and Applications-in Jan-Feb 2017
  • National Workshop on Instructional Cryptography- in July 2017
Admission Procedure :

Admission is generally offered on the basis of written test and interview.

M. Sc.
JAM qualified students will be exempted from written test.

M. Tech.
GATE (CS), GATE (EC) qualified students will be exempted from written test of MTech (CSE), MTech (ECE) branches respectively.

Note: Candidates having GATE percentile ≥ 95 (in CS/EC streams) will be considered for direct admission in respective branch.

Ph.D.
GATE/NET/SET/SLET qualified students will be exempted from written test.

Written Exam Pattern
The question paper will be of one and half hour duration. It will consist of objective and short answer type questions. There will be NO negative marking.

Syllabus for Written Test
  • M.Tech. and Ph.D. in Computer Science & Engineering
    Computer Programming, Data Structure and Algorithms, Operating System, Database Management System, Computer Networks, Discrete Mathematics.
  • M.Tech and Ph.D. in Electronics & Communication Engineering
    • Digital Design Introduction to Digital Design, Number Systems & Codes, Boolean Algebra and Minimization Techniques, Digital CMOS Logic, Combinatorial Circuits & Systems, Sequential Circuits & Systems, Finite State Machines.
    • Analog Electronics : Circuit Theory, Network analysis, Op-amp, RC, RLC Circuits, Physics of transistors, Characteristics and biasing of BJT, Small signal (incremental) equivalent circuits, CE, CB and CC amplifiers, Difference Amplifier Design, Oscillators and Filters: Bode plots, Clipping, Clamping and other Non-Linear Op-Amp applications, Power supplies, DAC: Principles and Circuits, ADC: Principles and Circuits.
    • Signals and Systems :Linear time invariant (LTI) systems: Discrete and continuous, Fourier representation of periodic signals, Fourier Transform of aperiodic signals, Laplace and z-transform, Linear Feedback Systems.
    • Digital Signal Processing Transform analysis of LTI systems, Structures for Discrete Time systems, FIR Filter Design Techniques, The Discrete Fourier Transform and Computational Aspects, Multi-rate digital Signal Processing, Adaptive signal Processing, Stochastic signals, Wiener Filtering, LMS and RMS algorithms, spectral estimation.
    • Basic Analog and Digital Communication
    • Probability and matrices
  • PhD in Mechanical Engineering :
    • GENERAL ENGINEERING & DESIGN :Engineering Mechanics, Strength of Materials, Theory of Machines, Vibrations, Design.
    • FLUID MECHANICS & THERMAL SCIENCES: Fluid Mechanics, Heat-Transfer, Thermodynamics, Gas Turbines, IC Engines, Power Plant Engineering
    • PRODUCTION ENGINEERING: Engineering Materials, Metal Casting, Metal Forming, Metal Joining Processes, Machining and Machine Tool Operations, Tool Engineering, Metrology and Inspection, Powder Metallurgy, Polymers and Composites, Manufacturing Analysis, Computer Integrated Manufacturing.
    • INDUSTRIAL ENGINEERING: Product Design and Development, Engineering Economy and Costing, Work System Design, Facility Design, Production Planning and Inventory Control, Operation Research, Quality Management, Reliability and Maintenance, Management Information System, Intellectual Property System.
  • PhD in Mechatronics Engineering:
    • GENERAL ENGINEERING & DESIGN :Engineering Mechanics, Strength of Materials, Theory of Machines, Vibrations, Design.
    • FLUID MECHANICS & THERMAL SCIENCES : Fluid Mechanics, Heat-Transfer, Thermodynamics, Gas Turbines, IC Engines, Power Plant Engineering
    • PRODUCTION ENGINEERING : Engineering Materials, Metal Casting, Metal Forming, Metal Joining Processes, Machining and Machine Tool Operations, Tool Engineering, Metrology and Inspection, Powder Metallurgy, Polymers and Composites, Manufacturing Analysis, Computer Integrated Manufacturing.
    • MECHATRONICS ENGINEERING : Introduction to mechatronic systems and components. Principles of basic electronics. Microprocessors and their applications, integrated circuits, sensors, actuators, and other electrical/electronic hardware in mechatronic systems. Principles of electronic/system communication. Interfacing. DA and AD converters, software and hardware principles and tools to build mechatronic systems. Design and selection of mechatronic applications to CNC systems, robotics, consumer electronic products etc. Note: The candidates willing to apply for Mechanical Engineering areas can attend the questions related to Industrial Engineering and those with Mechatronics Engineering can attend for the Mechatronics.
  • Ph.D. in Mathematics Algebra, Linear Algebra, Real and Complex Analysis, Topology, Functional Analysis, Numerical Analysis, Ordinary and Partial Differential Equations.
  • Ph.D. in English Literature
    • Chaucer to Shakespeare
    • Jacobean to Restoration Period
    • Augustan Age: 18th Century Literature
    • Romantic Period
    • Victorian Period
    • Modern Period
    • 20th Century and Contemporary British Literature
    • European Literature from 18th to 20th Century
    • New Literatures in English
    • American and other non-British Literatures
    • Indian Writing in English
    • Literary Theory and Criticism (up to T.S. Eliot)
    • Contemporary Literary Theory
    • Culture Studies
    • Prosody and Rhetoric
    • Literary Comprehension
  • Ph.D. in Applied Linguistics and ELT
    • Applied Linguistics (Structuralism, Chomsky, Halliday)
    • Language Acquisition (L1/L2)
    • Discourse Analysis
    • Fundamentals of Phonetics and Phonological Theory
    • Generative Syntax, Semantics and Morphology
    • Contemporary English Grammar
    • English Language Teaching (Pedagogic Methods, Approaches and Techniques), Critical Theories, Trends and Movements
    • Communicative Approach to Language Teaching (CLT)
    • Language Testing and Assessment
    • Error Analysis, Contrastive Analysis
    • English for Academic/ Specific purposes (EAP/ESP)
    • Curriculum Designing
    • Sociolinguistics
  • Ph.D. in Psychology
    • General Psychology
    • Research Methodology
    • Psychological Statistics
    • Psychological Testing
  • Ph.D. in Physics
    • Classical Mechanics : Conservation of linear momentum, energy, and angular momentum, Lagrangian, action principle, Euler-Lagrange equations, Lagrangian formalism, Generalized coordinates, Hamiltonian, Hamilton’s equations of motion, Phase space and phase trajectories, Hamiltonian systems and Liouville’s theorem, Canonical transformations, Poisson brackets.
    • Electrodynamics : Electrostatics, Gauss law and its application, Magnetostatics, Electromotive force, Faraday laws, Maxwell equations, wave equation, electromagnetic waves in vacuum, wave equation for E and B, scalar and vector potential, gauge transformations, electric and magnetic field in matter, Polarization, magnetization.
    • Quantum Mechanics : Basic principles of quantum mechanics, Probabilities and probability amplitudes, linear vector spaces, Eigen states and eigenvalues, wave function, Heisenberg uncertainty principle, Schrödinger equation, one dimensional potential problems, linear harmonic oscillator, Orbital angular momentum operators, spherical harmonics, hydrogen atom problem. Charged particle in a uniform constant magnetic field, Time independent perturbation theory, Time dependent perturbation theory, variational methods.
    • Statistical Mechanics : First law of thermodynamics, Second law of thermodynamics, Third law of thermodynamics, microcanonical ensemble, canonical ensemble, grand canonical ensemble, quantum statistics, phase diagrams, phase equilibria and phase transitions.
    • Mathematical Methods : Orthogonal and curvilinear coordinates, Scalar and vector fields, Vector differential operators, Gauss’ theorem, Green’s theorem, Stokes theorem and their applications, Laplace and Poisson equations, Linear vector spaces and representations, Elements of complex variables, various special functions, Fourier analysis, Fourier transforms, and Laplace transforms.
  • M.Sc (Mathematics)
    • Functions of One Variable: limit, continuity, differentiation, Rolle’s Theorem, Mean value theorem, Taylor's theorem, Maxima and minima.
    • Functions of Two Real Variables: limit, continuity, partial derivatives, differentiability, maxima and minima, Method of Lagrange multipliers, Homogeneous functions including Euler’s theorem,
    • Integral Calculus: Integration as the inverse process of differentiation, definite integrals and their properties, Fundamental theorem of integral calculus. Double and triple integrals, change of order of integration. Calculating surface areas and volumes using double integrals and applications. Calculating volumes using triple integrals and applications.
    • Differential Equations: Ordinary differential equations of the first order of the form y'=f(x,y). Bernoulli’s equation, exact differential equations, integrating factor, Orthogonal trajectories, Homogeneous differential equations-separable solutions, Linear differential equations of second and higher order with constant coefficients, method of variation of parameters. Cauchy-Euler equation.
    • Vector Calculus: Scalar and vector fields, gradient, divergence, curl and Laplacian. Scalar line integrals and vector line integrals, scalar surface integrals and vector surface integrals, Green's, Stokes and Gauss theorems and their applications.
    • Group Theory: Groups, subgroups, Abelian groups, non-abelian groups, cyclic groups, permutation groups; Normal subgroups, Lagrange's Theorem for finite groups, group homomorphisms and basic concepts of quotient groups (only group theory).
    • Linear Algebra: Vector spaces, Linear dependence of vectors, basis, dimension, linear transformations, matrix representation with respect to an ordered basis, Range space and null space, rank-nullity theorem; Rank and inverse of a matrix, determinant, solutions of systems of linear equations, consistency conditions. Eigenvalues and eigenvectors. Cayley-Hamilton theorem. Symmetric, skew-symmetric, hermitian, skew-hermitian, orthogonal and unitary matrices.
    • Real Analysis: Interior points, limit points, open sets, closed sets, bounded sets, connected sets, compact sets; completeness of R, Power series (of real variable) including Taylor’s and Maclaurin’s, domain of convergence, term-wise differentiation and integration of power series.
  • M.Sc (Physics)
    • Vector calculus : Coordinate systems in two and three dimensions, Dot product, Cross product, Gradient, Divergence, Curl, Line integral, Surface integral, Volume integral.
    • Classical Mechanics : Kinematics, Force, Momentum, Work and Energy, Collisions in Center-of-mass frame, Angular momentum, Torque, Rigid body motion, Central force motion, Harmonic oscillator, and Non-inertial Frame Of Reference.
    • Electrodynamics : Basic concepts of electrostatics, Gauss’s law and its application, basic concepts of magnetostatics, electromotive force, Faraday’s law, Maxwell’s equations, Electromagnetic waves.
    • Quantum Mechanics : Wave particle duality, Photoelectric effect, Black body radiation, Compton effect, Concepts of wave packets, Heisenberg uncertainty principle and its application, wave function, Time dependent and independent Schrödinger equation and its application in one dimension.
    • Heat and Thermodynamics : Thermodynamic properties, Energy, work, heat, laws of thermodynamics and their applications.
    • Optics : Wave equation, Plane waves, Electromagnetic waves, Standing waves, Interference, Diffraction, Lasers

Financial Support

M.Tech and Ph.D.

  • For GATE/NET/SET/SLET qualified students, stipend as per UGC norms.
  • Financial support in the form of teaching assistantship to other students.
  • Part financial assistance for national and international travel to present research.

M.Sc. (Physics & Mathematics)

  • Some assistant-ships would be available for the students admitted to M.Sc. program on the basis of merit/selection as part of teaching assistantship.
  • Part financial assistance for national and international travel to present research.

Major Research Areas

Computer Science and Engineering (CSE)

  • Software Engineering, Computer Vision, Image Processing, Machine Learning, Pattern Recognition, Data Mining, Ad-Hoc Networks, Distributed Computing, Computer and Network Security, Data Science, Social Network Analysis.

Communication And Computer Engineering (CCE)

  • 5G Systems, Cognitive Radio Networks, Machine Learning, Smart Antennas, Wireless Security, IoT.

Electronics and Communication Engineering (ECE)

  • Wireless Communication, Microwave and RF Techniques, Signal Processing, Photonics Communication, VLSI and Embedded Systems, Organic Electronics.

Mechanical Engineering (ME) (for Ph.D. only)

  • Thermal and Energy Engineering, Manufacturing Technology, Industrial Metallurgy, Engineering Design, Industrial Engineering, Machine Design, Supply Chain Management Mechatronics Engineering, Robotics and System Dynamics and Control.

Mathematics

  • Computational PDEs, Cryptography, Topology and Function Space, Probability and Stochastic Process, Bio Fluid Mechanics.

Physics

  • Nano-materials and their applications in Optoelectronics, Organic Electronics, Flexible solar cells, Material Science, Cosmology, Gravity, High Energy Physics, Biosensors, Biophysics, Condensed Matter Physics.

Humanities & Social Sciences (for Ph.D. only)

  • Economics: Labour Economics, Developmental Economics, Environmental Economics, International Economics.
  • English: Early Twentieth Century Literature, Gender Studies, Postcolonial Studies, Modernist Studies, Contemporary Literature of the Indian Subcontinent, Applied Linguistics, Cyber Socio-pragmatics.
  • Psychology: Psychology of Technology, Health Psychology, Social Psychology, Organizational Behaviour and allied areas.

Apply Now

  • Interested candidates should register at Click Here

  • The application fee for PG & Ph.D. program is Rs. 500/-.


Fee for Postgraduate admission year 2017 (one semester):
Particulars M.Tech Course P.hD/MSc Course
Rs. Rs.
Registration Fee 3,000 3,000
Tuition Fee 72,500 15,500
Hostel Fee 21,000 21,000
Other Fee* 8,500 8,500
Building Fund 3,000 3,000
Mess Advance (food) Charges – Adjustable As per actual at the end of the semester 14,000 14,000
Total fee for first semester 1,22,000 65,000
Caution money (one time refundable at the end of the course, no interest is payable) 10,000 10,000
Total payable at the time of admission 1,32,000 75,000

Note:

  • All fee/charges are mandatory nothing shall be waived off in any circumstances,
  • Medical cum Accidental insurance charges shall be charged on actual basis along with next semester fee,
  • Generally fee increased on yearly basis, the management may increase fee up to 10% yearly,
  • Scholarship under MCM, and BPL program shall be considered separately.
  • Stipend is payable on monthly basis separately as per rules.
  • The above fee is subject to approval of the Governing Council of LNMIIT.

IMPORTANT DATES
Online admission portal closes for 2 nd round in M.Tech Program : 30 th June 2017 (For Engineering Departments only)
Online admission portal closes for M. Sc. & Ph.D. Programs : 30 th June 2017
Written test and interview for 1 st round in M.Tech Program : 25 th May 2017 (CSE) & 26 th May 2017 (ECE)
Written test and interview for 2 nd round in M.Tech Program : In the First week of July 2017 (Tentative)
Written test and interview for M.Sc. & Ph.D. Programs : In the First week of July 2017 (Tentative)
For further updates: visit the institute website www.lnmiit.ac.in


Postal Address (For Speed post and Registered Post only): 
The LNM Institute of Information Technology,

Rupa ki Nangal,
Post-Sumel, Via-Jamdoli, 
Jaipur-302031,
(Rajasthan) India.

Contact Details
Toll Free No. : 1800-180-6566
Fax: 0141-2689014
Email: pgadmissions@lnmiit.ac.in