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B-SC in Computer Science at Maa Shanta Devi College of Management
Betul, Madhya Pradesh
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About the Specialization
What is Computer Science at Maa Shanta Devi College of Management Betul?
This B.Sc Computer Science program at Maa Shanta Devi College of Management focuses on providing a robust foundation in core computing principles, programming, and software development. It equips students with the essential knowledge and practical skills demanded by India''''s rapidly expanding IT industry. The curriculum is designed to foster analytical thinking and problem-solving abilities, preparing graduates for dynamic tech roles.
Who Should Apply?
This program is ideal for 10+2 science graduates with a strong interest in technology and logical reasoning, seeking entry into the software development, data analysis, or IT support sectors. It also suits individuals passionate about programming and eager to build a foundational career in the Indian digital economy, providing a stepping stone for further specialized studies like MCA or M.Sc CS.
Why Choose This Course?
Graduates of this program can expect diverse India-specific career paths, including Junior Developer, Web Designer, IT Support Specialist, or Data Entry Operator, with entry-level salaries typically ranging from INR 2.5 LPA to 4.5 LPA, growing significantly with experience. The program aligns with industry demands for foundational digital skills, opening doors to advanced roles in Indian startups and established tech companies.
Student Success Practices
Foundation Stage
Master Core Programming Logic- (Semester 1-2)
Dedicate consistent time to understanding fundamental programming concepts in C/C++ and data structures. Practice extensively by solving at least 3-5 problems daily to solidify logic and build a strong problem-solving mindset.
Tools & Resources
GeeksforGeeks, HackerRank, LeetCode (easy problems), NPTEL lectures on Programming
Career Connection
Strong programming fundamentals are non-negotiable for any software development role and are heavily tested in campus placement interviews across Indian tech companies.
Engage in Peer Learning & Collaborative Projects- (Semester 1-2)
Form study groups to discuss complex topics, share understanding, and work on small, hands-on programming projects together. This enhances understanding and develops teamwork skills crucial for industry.
Tools & Resources
GitHub for version control, Google Docs for collaborative documentation, College programming clubs
Career Connection
Employers value candidates who can collaborate effectively in teams, a skill nurtured through group projects and peer discussions.
Build a Foundational IT Skillset- (Semester 1-2)
Beyond academic subjects, proactively learn and practice essential IT tools like advanced MS Office, basic Linux commands, and version control (Git). These are critical for day-to-day operations in almost any Indian IT role.
Tools & Resources
Microsoft Learn, Coursera/edX basic IT courses, Git documentation
Career Connection
These practical skills provide an immediate advantage during internships and entry-level jobs, making you more productive from day one.
Intermediate Stage
Develop Practical Project Expertise- (Semester 3-4)
Translate theoretical knowledge into practical applications by working on at least 2-3 significant projects. Focus on areas like web development, database management, or basic AI, leveraging languages like Python and frameworks learned in SEC courses.
Tools & Resources
VS Code, XAMPP/WAMP (for web projects), MySQL Workbench, Jupyter Notebook
Career Connection
A robust project portfolio is essential for showcasing practical skills and problem-solving abilities to recruiters during Indian tech job interviews and internships.
Seek Early Industry Exposure- (Semester 3-4)
Actively look for short-term internships, workshops, or industry guest lectures to understand current industry trends and practices. Even volunteer opportunities in tech-related college events can offer valuable insights.
Tools & Resources
Internshala, LinkedIn, College career cell
Career Connection
Early exposure helps align your skills with industry needs, build a professional network, and makes you a more informed and attractive candidate for future placements.
Participate in Coding Competitions & Hackathons- (Semester 3-4)
Engage in online coding challenges and college-level hackathons. This not only hones your coding speed and accuracy but also exposes you to real-world problem-solving scenarios under pressure.
Tools & Resources
CodeChef, TopCoder, College technical fests
Career Connection
Winning or even participating actively in such events boosts your resume, demonstrates competitive spirit, and can attract attention from potential employers.
Advanced Stage
Specialize and Certify in Demand-Driven Skills- (Semester 5-6)
Identify a specific area of interest (e.g., Data Science, Web Development, Cloud Computing) and pursue advanced learning and certifications. This deepens expertise and makes you highly employable in specialized Indian tech roles.
Tools & Resources
Coursera/Udemy specialized courses, AWS/Azure/Google Cloud certifications, NASSCOM FutureSkills Prime
Career Connection
Specialized skills and certifications significantly enhance your market value, leading to better job prospects and higher salary packages in Indian MNCs and startups.
Master Interview and Aptitude Preparation- (Semester 5-6)
Focus on rigorous preparation for technical interviews, aptitude tests, and soft skills needed for group discussions and HR rounds. Practice common interview questions, brush up on data structures and algorithms, and work on communication.
Tools & Resources
Mock interviews (peer or professional), Online aptitude test platforms, Placement preparation books
Career Connection
Comprehensive preparation is crucial for converting placement opportunities into job offers in the highly competitive Indian job market.
Develop a Strong Professional Network- (Semester 5-6)
Connect with alumni, faculty, and industry professionals through LinkedIn, college events, and conferences. Building a network can open doors to mentorship, job referrals, and insights into career opportunities in India.
Tools & Resources
LinkedIn, Professional meetups, Alumni association events
Career Connection
Networking is vital for career growth, providing access to hidden job markets and industry insights that can accelerate your professional journey in India.
Program Structure and Curriculum
Eligibility:
- 10+2 with Science stream (Mathematics/Physics/Chemistry/Computer Science/Information Technology/Electronics or equivalent) with minimum 45% marks from a recognized board.
Duration: 3 years / 6 semesters
Credits: 144 Credits
Assessment: Internal: 25%, External: 75%
Semester-wise Curriculum Table
Semester 1
| Subject Code | Subject Name | Subject Type | Credits | Key Topics |
|---|---|---|---|---|
| BSC-CS-101T | Computer Fundamentals & PC Packages | Core Theory | 4 | Introduction to Computers, Input/Output Devices, Memory Organization, Operating System Concepts, MS-Word Features, MS-Excel Functions |
| BSC-CS-101P | Computer Fundamentals & PC Packages Lab | Core Practical | 2 | PC Assembly, MS-Word Document Formatting, MS-Excel Spreadsheet Operations, MS-PowerPoint Presentation Skills |
| BSC-CS-102T | Programming in C | Core Theory | 4 | Introduction to C Programming, Data Types and Operators, Control Flow Statements, Arrays and Strings, Functions and Pointers, Structures and File Handling |
| BSC-CS-102P | Programming in C Lab | Core Practical | 2 | C Program Development, Conditional Statements Implementation, Looping Constructs, Array Manipulation, Function Calls and Parameter Passing |
| HIN-101 | Hindi Language and Moral Values | Ability Enhancement Compulsory Course (AECC) | 2 | General Hindi Grammar, Prose and Poetry Readings, Composition Skills, Ethical Principles |
| ENG-101 | English Language and Communication | Ability Enhancement Compulsory Course (AECC) | 2 | Communication Theory, Grammar and Usage, Reading Comprehension, Report Writing, Presentation Skills |
Semester 2
| Subject Code | Subject Name | Subject Type | Credits | Key Topics |
|---|---|---|---|---|
| BSC-CS-201T | Data Structure using C | Core Theory | 4 | Arrays and Linked Lists, Stacks and Queues, Trees and Binary Trees, Graphs, Sorting Algorithms, Searching Algorithms |
| BSC-CS-201P | Data Structure using C Lab | Core Practical | 2 | Stack and Queue Implementation, Linked List Operations, Tree Traversal Algorithms, Graph Representation, Sorting and Searching Programs |
| BSC-CS-202T | Object Oriented Programming with C++ | Core Theory | 4 | OOP Concepts, Classes and Objects, Inheritance, Polymorphism, Virtual Functions, Exception Handling |
| BSC-CS-202P | Object Oriented Programming with C++ Lab | Core Practical | 2 | Class and Object Creation, Operator Overloading, Inheritance Implementation, Polymorphic Behavior, File Input/Output |
| EVS-201 | Environmental Studies | Ability Enhancement Compulsory Course (AECC) | 2 | Ecosystems and Biodiversity, Environmental Pollution, Natural Resources, Environmental Management, Sustainable Development |
| BSC-CS-203S | Office Automation (Skill Enhancement Course) | Skill Enhancement Course (SEC) | 2 | Advanced MS-Word Features, Complex MS-Excel Functions, Data Handling in Spreadsheets, MS-Access Database Basics, Mail Merge |
Semester 3
| Subject Code | Subject Name | Subject Type | Credits | Key Topics |
|---|---|---|---|---|
| BSC-CS-301T | Operating Systems | Core Theory | 4 | OS Introduction, Process Management, CPU Scheduling Algorithms, Memory Management, Deadlocks, File System Management |
| BSC-CS-301P | Operating Systems Lab | Core Practical | 2 | Linux Basic Commands, Shell Scripting, Process Creation and Management, System Calls, CPU Scheduling Simulation |
| BSC-CS-302T | Database Management System | Core Theory | 4 | DBMS Architecture, ER Modeling, Relational Model, SQL Commands, Normalization, Transaction Management |
| BSC-CS-302P | Database Management System Lab | Core Practical | 2 | SQL Query Writing, Database Creation and Manipulation, Joins and Subqueries, Stored Procedures, Database Connectivity |
| BSC-CS-303S | Python Programming (Skill Enhancement Course) | Skill Enhancement Course (SEC) | 2 | Python Fundamentals, Data Types and Structures, Control Flow, Functions and Modules, File I/O in Python |
Semester 4
| Subject Code | Subject Name | Subject Type | Credits | Key Topics |
|---|---|---|---|---|
| BSC-CS-401T | Computer Networks | Core Theory | 4 | Network Topologies, OSI and TCP/IP Models, Data Link Layer Protocols, Network Layer Addressing, Transport Layer Services, Application Layer Protocols |
| BSC-CS-401P | Computer Networks Lab | Core Practical | 2 | Network Configuration, IP Addressing Schemes, Network Diagnostic Tools, Socket Programming Basics, Client-Server Communication |
| BSC-CS-402T | Web Technology | Core Theory | 4 | HTML Fundamentals, CSS Styling, JavaScript for Client-side Scripting, Web Servers, XML and DTD, Client-Server Architecture |
| BSC-CS-402P | Web Technology Lab | Core Practical | 2 | HTML Page Design, CSS Styling Implementation, JavaScript Form Validation, Dynamic HTML Content, XML Document Creation |
| BSC-CS-403S | Data Analysis using R (Skill Enhancement Course) | Skill Enhancement Course (SEC) | 2 | Introduction to R Programming, Data Structures in R, Data Import and Export, Data Manipulation, Statistical Graphics |
Semester 5
| Subject Code | Subject Name | Subject Type | Credits | Key Topics |
|---|---|---|---|---|
| BSC-CS-501T | Software Engineering | Discipline Specific Elective (DSE) Theory | 4 | Software Life Cycle Models, Requirement Engineering, Software Design Principles, Software Testing, Software Project Management |
| BSC-CS-501P | Software Engineering Lab | Discipline Specific Elective (DSE) Practical | 2 | CASE Tool Usage, Requirement Specification Document, UML Diagrams, Test Case Generation, Project Planning |
| BSC-CS-502T | Artificial Intelligence | Discipline Specific Elective (DSE) Theory | 4 | Introduction to AI, Problem Solving by Search, Knowledge Representation, Machine Learning Basics, Expert Systems, Natural Language Processing |
| BSC-CS-502P | Artificial Intelligence Lab | Discipline Specific Elective (DSE) Practical | 2 | Prolog Programming, Search Algorithm Implementation, Knowledge Representation Techniques, Simple Expert Systems, AI Game Development |
| MAT-501 | Discrete Mathematics for Computer Science (Generic Elective) | Generic Elective (GE) | 4 | Set Theory, Mathematical Logic, Relations and Functions, Graph Theory, Combinatorics, Boolean Algebra |
Semester 6
| Subject Code | Subject Name | Subject Type | Credits | Key Topics |
|---|---|---|---|---|
| BSC-CS-601T | Computer Graphics | Discipline Specific Elective (DSE) Theory | 4 | Graphics Primitives, 2D and 3D Transformations, Viewing and Clipping, Projections, Color Models, Shading and Rendering |
| BSC-CS-601P | Computer Graphics Lab | Discipline Specific Elective (DSE) Practical | 2 | OpenGL Basics, Line Drawing Algorithms, Polygon Filling Algorithms, Geometric Transformations, Interactive Graphics Programming |
| BSC-CS-602T | Data Mining | Discipline Specific Elective (DSE) Theory | 4 | Data Mining Concepts, Data Preprocessing, Association Rule Mining, Classification Techniques, Clustering Algorithms, Web Mining |
| BSC-CS-602P | Data Mining Lab | Discipline Specific Elective (DSE) Practical | 2 | Weka Tool Usage, Data Cleaning and Integration, Implementing Association Rules, Classification Model Building, Clustering Analysis |
| BSC-CS-603P | Project Work/Dissertation | Project | 6 | Project Planning and Management, System Analysis and Design, Software Development Life Cycle, Implementation and Testing, Documentation and Presentation |
