Calcutta University M.Sc Admission 2023: Dates, Fees, Syllabus, Eligibility, Placement

Semester 1: Conception to Middle Childhood: Issues and Challenges,Adolescence and Youth: Challenges and Guidance,Theories of Human Development,Techniques of Assessment of Children,Techniques of Assessment of Adolescents and Youth,

Semester 2: Adulthood and Aging: Challenges and Care,Research Methodology,Application of Statistics in Human Development,Children with Special Needs,Current Trends in Human Development: Project,

Semester 3: Early Childhood Care and Education,Extension Education: Techniques and Programmes,Family Welfare and Women Studies,Food and Nutrition/ Music,

Semester 4: Application of Computer in Human Development,(Any one from Group 1) , Family Health & Nutrition , Literature, Media and Children , Home and Community Resource Development,(Any one from Group 2) , Mental Health in Developmental Perspectives, Clothing & Textiles , Application of Resources for Social and Mental Development,Dissertation Part I ,Dissertation Part II,

Semester 1: Paradigms of Psychology,Basics of cognitive processes ,Applications of Cognitive Psychology, Theory Construction and Research Design, Qualitative Methods ,

Semester 2: Behaviour and Biology ,Development theories and Neuro-Development Disorder, Personality Studies ,Social Psychology ,Statistics in Behavioral Science,

Semester 3: Clinical Psychology, Positive Psychology, Psychological Assessment in Clinical Setting ,Focus Group Discussion and Interview, Experimentation in Cognitive Processes, Interdisciplinary Course as Per University Rules

Semester 4: (any one from four), Psychological Evolution in Clinical Setting,  Ethnography and Narrative Analysis,  Experimentation in Affective Processes, Dissertation ,
(any one from three), Critical Psychology , Psychotherapy, Psychology of Gender,
(any one from three), Cultural Psychology , Advanced Quantitative Methods,  Neuropsychology,
(any one from three), Psychology of Power Aggression and Social Conflict , Community Mental Health , Stress Coping and Related Disorder,
(any one from three),  Applications of Social Psychology , Psychology of Relationships , Forensic Psychology,

Semester 1 : Advances in Computer Architecture , Advances in Database Management System Advances in Data Structure Data Communication,

Semester 2: Computer Networks , Design and Analysis of Algorithms , Object-Oriented Systems Software Engineering,

Semester 3: Introduction to Soft Computing , Advances in Operating System,  Theory of Computation Cryptography and Network Security, Semester 4, Elective 1, Cloud Computing , Wireless Sensor Network VLSI Design,  Compiler Design,  Embedded System, Elective 2, Introduction to Data Science Image Processing,  Internet Technology Introduction to Data Mining Statistics for Computer Science,

Semester 1: Biomolecules, Cell Biology, Molecular Biology, Biophysical Chemistry & Instrumentation, Enzymes & Reaction Kinetics, Microbiology,

Semester 2: Genetics,  Biostatistics,  Metabolism , Recombinant DNA Technology,

Semester 3: Genomics,  Proteomics and Protein Engineering, Semester 4, Medical Biotechnology IPR Biosafety and Bioethics,  Bioprocess Engineering and Microbial Technology,  Industrial Training, Seminar,  Grand Viva,

Semester 1: Physical meteorology,  Dynamic meteorology , Synoptic meteorology,  General climatology,

Semester 2: Numerical Weather Prediction,  Air pollution and Atmospheric Chemistry , Cloud Physics and Atmospheric Electricity Meteorological Instrumentation,

Semester 3: Atmospheric Data analytics , Micro and Macro Scale Meteorology , Seismology, Geophysics and Geodesic, Optional courses, Geographical Information Systems , Aviation Meteorology,

Semester 4: Middle Atmosphere Dynamics , Agro and Hydrometeorology , Dynamics of Coupled Systems, Supportive courses, Introduction to Global Modelling,  Atmospheric Weather Extremes,

Semester 1: (Theory), Advanced Computer Architecture,Database Management System,Data Structure,Data Communication,(Practical),Data Structure Laboratory,Database Laboratory,

Semester 2 : (Theory),Computer Network,Design and Analysis of Algorithms,Computer Graphics and Image Processing, Software Engineering(Practical),Graphics Laboratory,Software Engineering Laboratory,

Semester 1: Non-Chordate Biology,Ecological Theories ,Ecological Theories ,Genetics,Parasitology ,Insect Biology,Laboratory Course for Core Subjects,

Semester 2 : Chordate Biology,Developmental Biology,Immunology,Biochemistry and Genetic Engineering,Endocrinology,Aquatic Biology,Laboratory Course for Core Subjects,

Semester 3 : Taxonomy and Biostatistics,Animal Behavior and Wildlife Biology ,Laboratory Course for Core Subjects,Elective Theory,CBCC A,CBCC B,

Semester 4: Applied Ecology,Evolution,Comparative Animal Physiology,Laboratory Course for Core Subjects,Lab Internship (Internal Assessment, Dissertation & Seminar), Grand Viva,

Semester 1: Analysis I,Probability I,Statistical Inference I ,Linear Algebra & Linear Models,Sample Surveys & Demography,R Programming,

Semester 2: Probability II,Multivariate Analysis ,Statistical Inference II,Regression Analysis I,Design of Experiments,Time Series Analysis & Development Statistics,

Semester 3: Statistical Inference III ,Regression Analysis II,Applied Multivariate Analysis,Elective I,Choice Based I,Choice Based II,Project Work,

Semester 4: Stochastic Processes,Adv. Data Analytic Techniques,Elective 2,Elective 3,Elective 4,Project Work,

Semester 1: Mathematical Methods,Classical and Relativistic Mechanics,Quantum Mechanics I, Electronics and Instrumentation, General Practical 1,

Semester 2: Classical Electrodynamics, Quantum Mechanics II,Statistical Mechanics,General Practical 2, Computer Practical,

Semester 3: Atomic, Molecular, and Laser Physics,Solid State Physics,Nuclear and Particle Physics, Choice Based Credit course A, Choice Based Credit Course B,

Semester 4:  Advanced Paper I, Advanced Paper II, Advanced Paper III,Advanced Experiments I,Advanced Experiments II / Project,

Semester 1: (Theory),Biomolecules, Enzymes & Instrumentation,Cell Biology, Molecular Biology, Stem cells & Neurodevelopment Biology,Neuroanatomy & Neurophysiology, Neuroimmunology (Practical), Biomolecules & Instrumentation,Cell biology, Enzymology,Neuroanatomy,Neurophysiology,

Semester 2: (Theory),Metabolism, Neuroendocrinology & Neuropharmacology,Neurogenetics & Molecular Diagnostics, Evolutionary Neurosciences,Biostatistics, Computer application & Neuroinformatics,(Practical),Metabolism,Neuroendocrinology & Neuropharmacology,Neurogenetics & Molecular Diagnostics,Informatics, ,

Semester 3: (Theory),Psychology, Behaviour & Cognition,Genomics & Proteomics, Clinical & Molecular Neuropathology,(Practical), Behaviour & Cognition, Genomics & Proteomics,

Semester 4: (Theory),Neuro-Environmental Biology, Animal Biotechnology, Gene therapy and Bioethics ,Project work & Seminar,Viva,

Semester 1: (Theory),Systems Physiology-I,Biomolecules & Metabolic Pathways,Community Health-I & computational Physiology,(Practical),Experimental physiology, Clinical biochemistry,

Semester 2: (Theory),Systems Physiology-II,Cellular & Molecular Physiology,Community Health-II,(Practical), Histology, Human physiology/ computer applications and biostatistics,

Semester 3: (Theory),Systems Physiology-III,Community Health-III: Hazards and Prevention,Modern Techniques in Physiology-I,Elective ,Elective ,

Semester 4: (Theory),Modern Techniques in Physiology-II,Elective ,Elective,(Practical),Elective,Project & Seminar,Elective,