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MSC in Computer Science at Sant Gadge Baba Amravati University
Amravati, Maharashtra
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About the Specialization
What is Computer Science at Sant Gadge Baba Amravati University Amravati?
This MSc Computer Science program at Sant Gadge Baba Amravati University focuses on advanced computing principles and applications relevant to modern Indian industries. The curriculum provides a strong foundation in core computer science while offering specializations in emerging areas like AI, Big Data, and Cloud Computing. It aims to develop skilled professionals to meet the growing demand for innovative IT solutions across India''''s dynamic tech sector.
Who Should Apply?
This program is ideal for fresh graduates with a Bachelor''''s degree in Computer Science, IT, or related fields who seek to deepen their technical knowledge. It also suits working professionals aiming to upskill in cutting-edge technologies and career changers transitioning into the high-growth IT industry in India, particularly those with a quantitative background looking for a robust academic path.
Why Choose This Course?
Graduates of this program can expect promising career paths in India as Data Scientists, Machine Learning Engineers, Cloud Architects, or Software Developers. Entry-level salaries typically range from INR 4-7 LPA, with experienced professionals earning significantly more. The program prepares students for leadership roles in Indian IT companies and aligns with global professional certifications, fostering continuous growth in the digital economy.
Student Success Practices
Foundation Stage
Strengthen Core Programming Skills- (Semester 1-2)
Dedicate time to consistent practice of programming logic and data structures using C++ and Python. Regularly solve problems on platforms like HackerRank or CodeChef to build a strong analytical foundation for advanced topics.
Tools & Resources
HackerRank, CodeChef, GeeksforGeeks, Jupyter Notebook
Career Connection
Mastering fundamental programming is crucial for cracking coding rounds in placement drives and excelling in software development roles across Indian tech firms.
Active Participation in Labs and Projects- (Semester 1-2)
Go beyond assigned lab tasks by experimenting with variations and different approaches. Proactively initiate small personal projects to apply theoretical knowledge from Discrete Mathematics, OS, and DBMS to real-world scenarios.
Tools & Resources
GitHub, Visual Studio Code, Localhost databases
Career Connection
Practical application skills are highly valued by Indian employers. Demonstrable projects strengthen your resume and provide talking points during technical interviews.
Form Study Groups and Peer Learning- (Semester 1-2)
Collaborate with peers to discuss complex concepts, review assignments, and prepare for exams. Teaching others solidifies your understanding and exposes you to diverse problem-solving perspectives.
Tools & Resources
WhatsApp groups, Google Meet, University Library Study Rooms
Career Connection
Develops teamwork and communication skills, essential for collaborative work environments in Indian IT companies and during group discussions in placements.
Intermediate Stage
Gain Exposure to Emerging Technologies- (Semester 3-4)
While studying Machine Learning and Big Data, explore related online courses on platforms like Coursera or NPTEL. Participate in university workshops or hackathons focusing on these fields to get hands-on experience.
Tools & Resources
Coursera, NPTEL, Kaggle, Google Colab
Career Connection
This provides an edge in interviews for specialized roles like Data Analyst or ML Engineer and keeps you updated with India''''s rapidly evolving tech landscape.
Focus on Elective Specialization- (Semester 3-4)
Choose electives strategically based on your career interests (e.g., Cyber Security, IoT, Blockchain). Deep-dive into these subjects, exploring industry case studies and relevant certifications beyond the curriculum.
Tools & Resources
Industry whitepapers, Online certification platforms (e.g., (ISC)² for security), Vendor-specific documentation
Career Connection
Specialized knowledge makes you a strong candidate for niche roles in specific tech domains, which often offer higher starting salaries and clearer career paths in India.
Network with Alumni and Industry Professionals- (Semester 3-4)
Attend industry seminars, guest lectures, and career fairs organized by the university. Connect with alumni on LinkedIn to understand career trajectories and seek mentorship.
Tools & Resources
LinkedIn, University Alumni Portal, Industry conferences (e.g., NASSCOM events)
Career Connection
Networking opens doors to internship opportunities, valuable career advice, and potential job referrals within the Indian IT ecosystem.
Advanced Stage
Undertake a Comprehensive Major Project- (Semester 4)
Select a challenging project that integrates multiple concepts learned throughout the program, ideally addressing a real-world problem. Focus on developing a robust solution and documenting it professionally.
Tools & Resources
Project management tools (e.g., Trello), Version control (Git), Cloud platforms (AWS, Azure)
Career Connection
The major project is a cornerstone for placements, showcasing your problem-solving, technical, and project management capabilities to Indian employers.
Intensive Placement Preparation- (Semester 4)
Start preparing for interviews, aptitude tests, and group discussions early. Practice mock interviews with faculty and peers, and refine your resume and cover letter to highlight your skills and project experience.
Tools & Resources
Online aptitude platforms, InterviewBit, Glassdoor for company-specific interview experiences
Career Connection
Thorough preparation is paramount for securing placements with top Indian IT companies and startups, maximizing your chances for desired roles and packages.
Pursue Advanced Certifications or Research- (Semester 4)
Consider pursuing advanced industry certifications relevant to your specialization (e.g., AWS Certified Cloud Practitioner, Microsoft Certified Azure Developer Associate). Alternatively, explore publishing a research paper if inclined towards academia or R&D.
Tools & Resources
Official certification guides, IEEE Xplore, arXiv
Career Connection
These add significant value to your profile, demonstrating expertise and commitment, which is beneficial for both industry roles and further academic pursuits in India or abroad.
Program Structure and Curriculum
Eligibility:
- Bachelor''''s degree with Computer Science / Information Technology / Computer Applications / Mathematics / Statistics / Electronics as one of the subjects, or B.E./B.Tech. in Computer Science & Engineering / Information Technology, or PGDCA/ADCA after graduation.
Duration: 4 semesters / 2 years
Credits: 84 Credits
Assessment: Internal: 20% (for theory), 20-25% (for practicals/project), External: 80% (for theory), 75-80% (for practicals/project)
Semester-wise Curriculum Table
Semester 1
| Subject Code | Subject Name | Subject Type | Credits | Key Topics |
|---|---|---|---|---|
| CSC – 101 | Discrete Mathematical Structures | Core | 4 | Mathematical Logic, Set Theory, Relations and Functions, Lattices and Boolean Algebra, Graph Theory, Trees |
| CSC – 102 | Advanced Data Structures | Core | 4 | Introduction to Data Structures, Arrays and Stacks, Queues and Linked Lists, Trees, Graphs, Hashing Techniques |
| CSC – 103 | Advanced Operating System | Core | 4 | Operating System Overview, Process Management and Threads, CPU Scheduling Algorithms, Deadlocks, Memory Management, File Systems |
| CSC – 104 | Object Oriented Programming with C++ | Core | 4 | Introduction to OOP, Classes and Objects, Constructors and Destructors, Inheritance, Polymorphism and Virtual Functions, File Handling and Exception Handling |
| CSC – 105 | Practical based on CSC-102 & CSC-104 | Lab | 4 | Implementation of Stacks, Queues, Linked List Operations, Tree Traversal Algorithms, Graph Algorithms, OOP Concepts in C++, File Operations in C++ |
Semester 2
| Subject Code | Subject Name | Subject Type | Credits | Key Topics |
|---|---|---|---|---|
| CSC – 201 | Design and Analysis of Algorithms | Core | 4 | Introduction to Algorithms, Divide and Conquer, Greedy Method, Dynamic Programming, Backtracking, Branch and Bound |
| CSC – 202 | Advanced Database Management System | Core | 4 | Introduction to DBMS, Relational Model and Algebra, SQL Query Language, Normalization, Transaction Management, Concurrency Control |
| CSC – 203 | Python Programming | Core | 4 | Introduction to Python, Data Types and Operators, Control Flow Statements, Functions and Modules, File Handling, Object-Oriented Programming in Python |
| CSC – 204 | Advanced Computer Networks | Core | 4 | Network Architecture and Protocols, Physical and Data Link Layer, Network Layer (IP, Routing), Transport Layer (TCP, UDP), Application Layer Protocols, Network Security Basics |
| CSC – 205 | Practical based on CSC-202 & CSC-203 | Lab | 4 | SQL Queries and Database Design, Advanced SQL Features, Python Programming Exercises, File Operations in Python, Object-Oriented Python Programs |
Semester 3
| Subject Code | Subject Name | Subject Type | Credits | Key Topics |
|---|---|---|---|---|
| CSC – 301 | Machine Learning | Core | 4 | Introduction to Machine Learning, Supervised Learning Algorithms, Unsupervised Learning Algorithms, Reinforcement Learning, Model Evaluation and Selection, Basic Neural Networks |
| CSC – 302 | Big Data Analytics | Core | 4 | Introduction to Big Data, Hadoop Ecosystem, HDFS and MapReduce, Data Stream Management, Big Data Technologies (Hive, Pig), Data Visualization |
| CSC – 303A | Compiler Design | Elective | 4 | Introduction to Compilers, Lexical Analysis, Syntax Analysis, Semantic Analysis, Intermediate Code Generation, Code Optimization |
| CSC – 303B | Soft Computing | Elective | 4 | Fuzzy Logic and Fuzzy Sets, Artificial Neural Networks, Genetic Algorithms, Hybrid Systems, Rough Set Theory, Swarm Intelligence |
| CSC – 303C | Digital Image Processing | Elective | 4 | Image Fundamentals, Image Enhancement, Image Restoration, Image Compression, Morphological Image Processing, Image Segmentation |
| CSC – 304A | Distributed Operating System | Elective | 4 | Introduction to Distributed OS, Inter-process Communication, Synchronization in Distributed Systems, Distributed Deadlock Detection, Process and Processors in DOS, Distributed File Systems |
| CSC – 304B | Internet of Things | Elective | 4 | Introduction to IoT, IoT Architecture and Protocols, IoT Devices and Gateways, Communication Models, Data Analytics in IoT, IoT Security and Privacy |
| CSC – 304C | Cyber Security | Elective | 4 | Introduction to Cyber Security, Network Security Concepts, Cryptography and Ciphers, Web Application Security, Malware Analysis, Cyber Forensics |
| CSC – 305 | Practical based on CSC-301 & CSC-302 | Lab | 4 | ML Algorithm Implementation, Data Preprocessing Techniques, Model Training and Evaluation, HDFS Operations, MapReduce Programming, Spark Basic Operations |
| CSC – 306 | Practical based on Elective – I & Elective – II | Lab | 4 | Elective I practical applications, Elective II practical applications, Tools and technologies related to chosen electives, Problem-solving for elective domains, Experimentation with elective concepts |
Semester 4
| Subject Code | Subject Name | Subject Type | Credits | Key Topics |
|---|---|---|---|---|
| CSC – 401 | Deep Learning | Core | 4 | Introduction to Deep Learning, Feedforward Neural Networks, Convolutional Neural Networks (CNNs), Recurrent Neural Networks (RNNs), Autoencoders and GANs, Deep Learning Frameworks (TensorFlow, Keras) |
| CSC – 402 | Cloud Computing | Core | 4 | Introduction to Cloud Computing, Cloud Service Models (IaaS, PaaS, SaaS), Cloud Deployment Models, Virtualization, Cloud Security and Privacy, Cloud Management and Migration |
| CSC – 403A | Mobile Computing | Elective | 4 | Introduction to Mobile Computing, Wireless Communication Technologies, Mobile Operating Systems, Mobile Application Development, Mobile Security, Location-Based Services |
| CSC – 403B | Blockchain Technologies | Elective | 4 | Introduction to Blockchain, Cryptographic Primitives, Distributed Ledger Technology, Bitcoin and Cryptocurrencies, Ethereum and Smart Contracts, Blockchain Applications |
| CSC – 403C | Natural Language Processing | Elective | 4 | Introduction to NLP, Text Preprocessing, N-grams and Language Models, Word Embeddings, Part-of-Speech Tagging, Named Entity Recognition |
| CSC – 404A | Research Methodology | Elective | 4 | Introduction to Research, Research Problem Formulation, Research Design, Data Collection Methods, Data Analysis and Interpretation, Research Report Writing |
| CSC – 404B | Digital Forensics | Elective | 4 | Introduction to Digital Forensics, Legal Aspects of Forensics, Evidence Acquisition and Preservation, Disk and File System Forensics, Network Forensics, Mobile Device Forensics |
| CSC – 404C | Ethical Hacking | Elective | 4 | Introduction to Ethical Hacking, Footprinting and Reconnaissance, Scanning Networks, Enumeration Techniques, System Hacking and Vulnerabilities, Malware Threats |
| CSC – 405 | Project (Major) | Project | 8 | Problem Identification and Scope Definition, Literature Survey, System Design and Architecture, Implementation and Development, Testing and Validation, Project Report and Presentation |
