Introduction
Eligibility Criteria
Post Graduate Programmes
Master of Arts
Master of Science
Agriculture - Honours
Master of Commerce
PGDCA
Nutrition and Dietetics
Under Graduate Programmes
Bachelor of Science
Bachelor of Physiotherapy
Bachelor of Comp. Appl.
Bachelor of Commerce
Bachelor of Arts
B.Sc. in Information Tech.
B.Sc. in Economics
 

 

 

Master of Science

 

M. Sc. Botany

Eligibility
A. Candidate who has passed B.Sc.(Medical) with 50% Marks
B. B.Sc. (Hons.) degree in the subject concerned. (Subject to change)

Part I
Part II
Course Code
Title
Course Code
Title
501

Development of Botany
(Morphogenesis & Embryology)

601
Spermatophytes & Biodiversity
502

Fungi Plant Pathology and General Microbiology

602
Genetics & Evolution
503
Theoretical & Environmental Biology
603
Plant Molecular Biology, Biotechnology & Tissue Culture
504
Computer Application in Botany & Ecology
604
Plant Breeding, Bio-Bio-statistics & Economic Botany
505
Plant Physiology & Biochemistry
605
Comprehensive Plant Biology
506
Algae, Bryophytes & Pteridophytes
606
Economy Botany
551
Botany Practical Paper-I
651
Seminar
552
Botany Practical Paper-II
652
Field STudy
553
Botany Practical Paper-III
653
Botany Practical Paper - I
(Based on Theory Paper Bot. 601 & 604)
 
 
654
Botany Practical Paper - II
(Based on Theory Paper Bot. 602 & 603)
 
 
655
Project Report / Research Techniques
 
M. Sc. in Zoology

Eligibility
A. A Candidate who has passed B.Sc.(Medical) with 50% Marks
B. B.Sc. (Hons.) degree in the subject concerned (Subject to change)

Part I
Part II
Course Code
Title
Course Code
Title
501
Functional Organisation of Animals
601
Ecology, Behaviour & Wild Life and its Conservation
502
Cell Biology
602
Development Biology
503
Systematic & Evolution
603
Genetics
504
Applied Zoology
604
Concepts of Immunology
505
General Biochemistry
605
Tools & Techniques of Biology
551
Functional Organisation of Animal (Practical)
606
Seminar
552
Cell Biology (Practical)
651
Eco. Behaviour & Wild Life (Practical)
553
Systematics & Evolution (Practical)
652
Development Biology (Practical)
407
Biostatistics
653
Genetics (Practical)
304
Computer Programming & Data Processing      
 
M. Sc. in Chemistry

Eligibility
A. A Candidate who has passed B.Sc.(Medical/Non-Medical) with 50% Marks & has studied the subject of post graduation as an elective subject

B. B.Sc Hons. Degree in the subject concerned

C. Any examination recognised as equivalent to (A) and (B) above.

Part I
Part II
Paper I
Inorganic Chemistry
Paper I
Inorganic Chemistry General-A
Paper II
Organic Chemistry
Paper II
Advanced Inorganic Chemistry-B
Paper III
Physical Chemistry
Paper III
Organic Chemistry General-A
Paper IV
Spectroscopy-A
Paper IV
Advanced Organic Chemistry-B
Paper V
Spectroscopy-B
Paper V
Physical Chemistry General-A
Paper VI
Mathematics for Chemist/General Biology
Paper VI
Advanced Physical Chemistry-B
 
M. Sc. Physics

Eligibility
A Candidate who has passed

  1. B.Sc.(Medical/Non-Medical) with 50% Marks OR
  2. B.Sc. with Physics as elective subject with 50% marks.
Part I
Part II
Course Code
Title
Course Code
Title
401
Quantum Mechanics-I
71
Quantum Mechanics-II
402
Electrodynamics-I
72
Solid State Physics-II
403
Condensed Matter Physics-I
73
Electrodynamics-II
404
Electronics
74
Nuclear Physics
405
Computational Techniques
75
Particle Physics
406
Atomic & Molecular Spectroscopy
77
Reactor Physics
410
Classical Mechanics
79
Radiation Physics
411
Mathematical Physics
84
Optical Electronics
 
M. Sc. Computer Science

Eligibility
A Candidate who has passed

  1. B.Sc.(IT)/BCA with 50% Marks OR
  2. B.A./B.Sc. with Computers as elective subject with 50% marks. OR
  3. P.G. Diploma in Computer Applications/ P.G. Diploma in Information Technology/P.G. Diploma in E-commerce and Internet Application with 50% marks (Subject to change)

First Year
Second Year
MCS 101
Advanced Data Structures
MCS 201
Theory Of Computations
MCS 102
Advanced Computer Architecture
MCS 202
Image Processing
MCS 103
Network Design & Performance
MCS 203
Design & Analysis of Algorithms
MCS 104
Discrete Structures
MCS 204
Formal Specification & Verification
MCS 105
Microprocessors & its Applicaions Techniques
MCS 205
Advanced Software Engineering
MCS 106
Soft Computing
MCS 206
Distributed Database Systems
MCS 107
LAB
MCS 207
LAB
MCS 108
LAB
MCS 208
Project Work
M. Sc. (IT)

Eligibility
A Candidate who has passed

  1. B.Sc.(IT)/BCA with 50% Marks OR
  2. B.A./B.Sc. with Computers as elective subject with 50% marks. OR
  3. P.G. Diploma in Computer Applications/ P.G. Diploma in Information Technology/P.G. Diploma in E-commerce and Internet Application with 50% marks (Subject to change)

First Year
Second Year
MIT-101
Analysis & Design of Embedded Systems
MIT-201
Object Oriented Modeling, Analysis and Design
MIT-102
Computer Based Numerical and Statistical Methods
MIT-202
Mobile Computing
MIT-103
Distributed Computing
MIT-203
Distributed Databases
MIT-104
Advanced Computer Organization and Architecture
MIT-204
Image Processing
MIT-105
Network Operating Systems
MCS 205
Fuzzy Systems
MIT-106
Symbolic Logic and Logic Programming
MIT-206
Network Design and Performance Analysis
MIT-107
Programming Laboratory –I (Numerical & Statistical Methods)
MIT-207
Programming Laboratory -III(Distributed Databases)
MIT-108
Programming Laboratory –II (Network Operating Systems)
MIT-208
Project Work

 

 

M. Sc. in Mathematics

Eligibility

A Candidate who has passed

  1. B.A./B.Sc. Non-Medical with 50% marks in aggregate and having Mathematics as one of the subject.
  2. B.A./B.Sc. with MATHEMATICS as elective subject with 50% marks
  3. B.A./B.Sc. Hons. in the subject concerned
  4. B.A./B.Sc. in full subjects obtaining 45% marks in Mathematics. (Subject to change)
Part I (New System)
Part II (Old System)
Paper I
Real Analysis
Paper VI

Measure Theory & Functional Analysis

Paper II
Complex Analysis, Vector Calculus & Differential Geometry
Paper VII
Topology
Paper III
Modern Algebra
Paper V III-IX-X (any 3 options)

(i) Numerical Methods
(ii) Mathematical Statistics
(iii) Hydromechanics
(iv) Theory of Numbers

Paper IV
Mechanics
Paper V
Differential & Integral Equations
 
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