S I I C S

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SIICS Course

Course Objectives

The M.Sc. Sciences program aims to provide advanced theoretical knowledge and practical skills in various scientific disciplines. It nurtures analytical thinking, research aptitude, and problem-solving abilities to address real-world scientific challenges. The course emphasizes interdisciplinary learning, innovation, and the application of science for sustainable development. It also prepares students for careers in research, industry, and academia with a strong ethical foundation.

Career Growth Pathway

M. Sc (Computer Science), M. Sc. (Computer Applications),

Job Opportunities

Data Analyst, Software Developer / Engineer, Blockchain Developer, Web Developer (Frontend, Backend, Full Stack), IT Support Specialist, System Administrator, Cloud Support Associate, System Administrator

Course

Eligibility

B. Sc (Computer Science),

B.Sc. Computer Application

Syllabus

BSC Computer Science

Course Code Course Name
CA101 – T Problem Solving and Programming in C
CA102 – P Lab course on CA101 – T
CA103 – T Computer Organization & Architecture
CA104 – P Lab course on CA103 – T
CA105 – T Discrete Mathematics and Statistics
CA106 – P Laboratory course on CA-105 – T
OE101- CA Introduction to Data Science
SEC101- CA HTML and Web Page Designing
IKS – 100 – T Course from Basket of courses prepared by the University
AEC – 101 – ENG Course from University Basket
VEC – 101 – ENV Course from University Basket
Course Code Course Name
CA151 – T Advanced C Programming
CA152 – P Lab course on CA151 – T
CA153 – T Introduction to Microcontrollers
CA154 – P Lab course on CA153 – T
CA155 – T Linear Algebra
CA156 – P Laboratory course on CA-155 – T
OE151- CA Data Science Using Spreadsheet Software
SEC151- CA Software Tools for Business Communications
AEC151- ENG Course from University Basket
VEC – 151 – ENV Course from University Basket
CC – 151 – PE Course from University Basket
Course Code Course Name
CA201 – MJ Data Structures
CA202 – MJP Lab course on CA201 – MJ
CA221 – VSC C++ Programming
CA231-FP Field Project
CA – 241 – MN Programming with Python
CA – 242 – MNP Lab Course on CA – 241 – MN
OE – 201 – CA Introduction to Artificial Intelligence
CA – 200 – IKS Indian Knowledge for Computing Systems
AEC Course from University Basket
CC Course from University Basket
Course Code Course Name
CA251- MJ Database Management Systems
CA252- MJP Lab course on CA251 – MJ
CA271- VSC Python Programming
CA281 CEP Community Project
CA – 291 – MN Introduction to Artificial Intelligence and Machine Learning
CA – 292 – MNP Lab course on CA – 291 – MN
OE – 251 – CA Software Tools for Office Administration
SEC251- CA Spreadsheet Applications
AEC Course from University Basket
CC Course from University Basket
Course Code Course Name
CA301 – MJ Software Engineering and Testing
CA302 – MJ Fundamentals of Artificial Intelligence
CA303 – MJP Lab course on CA-302-MJ
CA304 – MJ Fundamentals of Data Science
CA305 – MJP Lab course on CA-304-MJ
CA310- M User Interface and User Experience (UI-UX) Design
CA311- MJP Lab course on CA – 310- MJ
OR
CA312- MJP Cloud Computing
CA313- MJP Lab course on CA-312 – MJ
OR
CA314- MJ Cyber Security
CA315- MJP Lab course on CA-314-MJ
CA321 VSC Core JAVA Programming
CA331 FP Field Project
CA – 341 – MN Introduction to AR-VR
Course CodeCourse Name
CA351- MJSoftware Project Management
CA352- MJWeb Programming
CA353- MJPLab course on CA-352-MJ
CA354- MJOperating system Design
CA355- MJPLab course on CA-354-MJ
CA360- MJPrompt & Generative AI
CA361- MJPLab course on CA-360 -MJ
 OR
CA362- MJBig Data and Analytics
CA363- MJPLab course on CA-362- MJ
 OR
CA364- MJMobile Application Development
CA365- MJPLab course on CA-364 -MJ
CA371 VSCAdvanced JAVA Programming
CA- 381 OJTOn-Job Training/ Internship

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