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B-TECH in Computer Science And Business Systems at GITAM, Gandhi Institute of Technology and Management
Visakhapatnam, Andhra Pradesh
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About the Specialization
What is Computer Science and Business Systems at GITAM, Gandhi Institute of Technology and Management Visakhapatnam?
This Computer Science and Business Systems (CSBS) program at GITAM University focuses on equipping students with a unique blend of computer science expertise and fundamental business management principles. It addresses the growing need for professionals who understand technology''''s strategic implications in the Indian industry, preparing them to innovate and lead in the digital economy. This interdisciplinary approach differentiates the program, aligning with the evolving demands of tech-driven businesses across India.
Who Should Apply?
This program is ideal for fresh graduates from science backgrounds with an aptitude for both technical problem-solving and business strategy, seeking entry into rapidly evolving tech sectors. It also suits working professionals looking to upskill or career changers aiming to transition into roles that require a strong understanding of how technology drives business decisions and growth in India''''s competitive market, bridging the gap between technical and managerial functions.
Why Choose This Course?
Graduates of this program can expect to pursue dynamic career paths such as Business Analyst, Data Scientist, Product Manager, IT Consultant, or Tech Entrepreneur within India. Entry-level salaries typically range from INR 4-8 lakhs per annum, with significant growth trajectories into senior leadership roles in Indian companies and multinational corporations operating in India. The hybrid skill set also provides a strong foundation for professional certifications in areas like project management or data analytics.
Student Success Practices
Foundation Stage
Master Core Programming and Math- (Semester 1-2)
Dedicate significant time to mastering Python and C++ programming fundamentals, alongside discrete mathematics and calculus. Utilize online platforms like HackerRank, LeetCode, and GeeksforGeeks for daily coding practice. Form study groups to solve problems collaboratively, strengthening your logical reasoning and problem-solving skills which are crucial for subsequent semesters and competitive placements.
Tools & Resources
HackerRank, LeetCode, GeeksforGeeks, Khan Academy, MIT OpenCourseware
Career Connection
A strong foundation in programming and mathematics is essential for advanced computer science subjects and forms the bedrock for interviews at tech companies in India.
Build Effective Study Habits- (Semester 1-2)
Develop consistent study routines, attend all lectures, and actively participate in lab sessions. Focus on understanding concepts rather than rote learning. Prioritize time management to balance academic rigor with extracurricular activities. Engage with faculty during office hours for clarifications, fostering deeper learning and mentorship opportunities.
Tools & Resources
Pomodoro Technique, Note-taking apps, Academic advisors
Career Connection
Effective study habits lead to academic excellence, which is a key criterion for internships and placements in top-tier companies.
Engage in Early Skill Building Workshops- (Semester 1-2)
Actively participate in workshops offered by the college or external organizations on introductory topics like web development, basic data analytics, or design thinking. These hands-on experiences complement theoretical knowledge, providing an early taste of industry applications and helping identify areas of interest.
Tools & Resources
Local hackathons, GITAM''''s technical clubs, Coursera/edX introductory courses
Career Connection
Early exposure to diverse technologies helps in building a versatile skill set and informs future specialization choices, enhancing employability.
Intermediate Stage
Deep Dive into Data Structures and Algorithms (DSA)- (Semester 3-5)
Intensify your DSA practice beyond course requirements. Solve at least 2-3 competitive programming problems daily on platforms like CodeChef and TopCoder. Understand the complexities and optimal solutions for various algorithms, as this is a primary filtering criterion for product-based companies in India.
Tools & Resources
CodeChef, TopCoder, AlgoExpert, Interviews with Google, Amazon, Microsoft
Career Connection
Exceptional DSA skills are critical for clearing technical interviews for software development and data science roles in leading tech firms.
Undertake Industry-Aligned Projects- (Semester 3-5)
Collaborate on projects that apply theoretical knowledge from subjects like Operating Systems, DBMS, and Computer Networks to real-world scenarios. Leverage the Skill Enhancement Courses to build practical applications in Java, Cloud, IoT, and Mobile Development. Participate in college-level project exhibitions or hackathons to showcase your work.
Tools & Resources
GitHub, Jupyter Notebooks, Cloud platforms (AWS/Azure/GCP free tier), Android Studio
Career Connection
Projects demonstrate practical skills, a key differentiator in resumes, and provide talking points for technical interviews, leading to better internship and job offers.
Network and Seek Early Internships- (Semester 3-5)
Attend industry seminars, guest lectures, and career fairs organized by GITAM. Connect with alumni and industry professionals on LinkedIn. Start applying for summer internships from the end of your 3rd semester, even if they are short-term or unpaid initially. This exposure helps in understanding corporate culture and gaining practical experience.
Tools & Resources
LinkedIn, Internshala, Naukri.com, College Placement Cell
Career Connection
Internships are often a direct gateway to pre-placement offers, significantly boosting your chances of securing a good job post-graduation in India.
Advanced Stage
Specialize and Certify in Niche Areas- (Semester 6-8)
Choose program electives strategically based on your career interests, focusing on areas like AI, Machine Learning, Cyber Security, or Blockchain. Pursue industry-recognized certifications (e.g., AWS Certified Developer, Google AI Engineer) to validate your specialized skills and make your profile stand out in the competitive Indian job market.
Tools & Resources
Coursera Specializations, Udemy, AWS Certifications, Google AI certifications
Career Connection
Specialized skills and certifications directly enhance employability for specific roles, commanding higher salaries and greater demand in specialized tech domains.
Focus on Capstone Projects and Research- (Semester 6-8)
Devote significant effort to your Project Work (III & IV), aiming for an innovative and impactful solution. Consider developing a startup idea or contributing to a research paper under faculty guidance. This showcases your ability to lead complex projects, apply interdisciplinary knowledge, and contribute to new knowledge.
Tools & Resources
Research papers, Academic journals, Startup incubators/accelerators, Faculty mentors
Career Connection
A strong capstone project or research publication can be a decisive factor for placements, higher studies (M.Tech/MBA), or securing seed funding for entrepreneurship.
Intensive Placement Preparation and Mock Interviews- (Semester 7-8)
Participate in intensive mock interview sessions conducted by the placement cell and senior students. Practice aptitude tests, technical rounds, and HR interviews rigorously. Work on soft skills like communication, presentation, and teamwork. Tailor your resume and cover letter for specific company roles. The 8th semester internship/project is crucial for direct placement offers.
Tools & Resources
Placement cell resources, Online aptitude tests, Glassdoor for interview experiences
Career Connection
Thorough preparation directly translates into securing placements with desired companies and roles, maximizing your return on investment in the program.
Program Structure and Curriculum
Eligibility:
- Passed 10+2 or equivalent examination with a minimum of 60% aggregate marks in Physics, Chemistry, and Mathematics (PCM) or Physics, Chemistry, and Biology (PCB) and a valid score in GAT (GITAM Admission Test) or JEE (Mains) or AP/TS EAMCET or any other state entrance examination.
Duration: 8 semesters / 4 years
Credits: 158 Credits
Assessment: Internal: 40%, External: 60%
Semester-wise Curriculum Table
Semester 1
| Subject Code | Subject Name | Subject Type | Credits | Key Topics |
|---|---|---|---|---|
| 1GNE101 | Communicative English | Core | 3 | Grammar and Vocabulary, Reading Comprehension, Written Communication, Public Speaking, Interpersonal Skills |
| 1GNE111 | Problem Solving and Programming with Python | Core | 3 | Python Fundamentals, Control Flow, Functions and Modules, Data Structures in Python, Object-Oriented Programming |
| 1GNE103 | Calculus and Matrix Algebra | Core | 4 | Differential Calculus, Integral Calculus, Matrices and Determinants, Eigenvalues and Eigenvectors, Linear Transformations |
| 1GNE105 | Applied Physics | Core | 4 | Quantum Mechanics, Semiconductor Physics, Laser Physics, Electromagnetism, Wave Optics |
| 1GNE121 | Communicative English Lab | Lab | 1.5 | Listening Skills, Pronunciation Practice, Presentation Skills, Group Discussions, Interview Skills |
| 1GNE131 | Problem Solving and Programming with Python Lab | Lab | 1.5 | Python Programming Exercises, Debugging Techniques, Algorithm Implementation, File Handling, Basic Data Structures Implementation |
| 1GNE123 | Applied Physics Lab | Lab | 1.5 | Semiconductor Devices Experiments, Optical Instruments, Magnetic Field Measurements, Circuit Analysis, Material Characterization |
| 1GNE151 | Engineering Graphics and Design | Core | 1.5 | Orthographic Projections, Isometric Projections, Sectional Views, AutoCAD Basics, Dimensioning and Tolerancing |
| 1GNE161 | Design Thinking and Product Innovation | Core | 0 | Introduction to Design Thinking, Empathize and Define Stages, Ideation Techniques, Prototyping and Testing, Innovation Management |
| 1GNE107 | Biology for Engineers | Non-Credit | 0 | Cell Biology, Genetics and Biotechnology, Human Physiology, Microbiology, Bioethics |
Semester 2
| Subject Code | Subject Name | Subject Type | Credits | Key Topics |
|---|---|---|---|---|
| 1GNE102 | Environmental Science | Core | 3 | Ecosystems, Biodiversity, Environmental Pollution, Renewable Energy Sources, Sustainable Development |
| 1GNE104 | Differential Equations and Vector Calculus | Core | 4 | First Order Differential Equations, Higher Order Differential Equations, Vector Differentiation, Vector Integration, Green''''s and Stokes'''' Theorems |
| 1GNE106 | Engineering Chemistry | Core | 4 | Electrochemistry, Corrosion and its Control, Polymer Chemistry, Material Science, Spectroscopy |
| 1GNE108 | Basic Electrical and Electronics Engineering | Core | 3 | DC Circuits, AC Circuits, Semiconductor Diodes, Transistors, Operational Amplifiers |
| 1GNE112 | Data Structures | Core | 3 | Arrays and Linked Lists, Stacks and Queues, Trees and Graphs, Sorting Algorithms, Searching Algorithms |
| 1GNE122 | Engineering Chemistry Lab | Lab | 1.5 | Volumetric Analysis, Instrumental Methods of Analysis, Water Analysis, Corrosion Rate Measurement, Polymer Synthesis |
| 1GNE124 | Basic Electrical and Electronics Engineering Lab | Lab | 1.5 | Ohm''''s Law and KVL/KCL, AC Circuit Measurements, Diode Characteristics, Transistor Amplifier Circuits, Logic Gates |
| 1GNE132 | Data Structures Lab | Lab | 1.5 | Implementation of Linked Lists, Stack and Queue Operations, Binary Tree Traversal, Graph Algorithms, Sorting and Searching Implementations |
| 1GNE152 | Engineering Workshop | Lab | 1.5 | Carpentry, Fitting, Welding, Sheet Metal Operations, Foundry |
| 1GNE109 | Indian Constitution | Non-Credit | 0 | Preamble and Fundamental Rights, Directive Principles of State Policy, Union and State Governments, Judiciary System, Constitutional Amendments |
Semester 3
| Subject Code | Subject Name | Subject Type | Credits | Key Topics |
|---|---|---|---|---|
| 1CSB201 | Discrete Mathematics | Core | 3 | Set Theory, Logic and Proofs, Relations and Functions, Graph Theory, Combinatorics |
| 1CSB203 | Object Oriented Programming with C++ | Core | 3 | Classes and Objects, Inheritance, Polymorphism, Virtual Functions, Templates and Exception Handling |
| 1CSB205 | Digital Logic Design | Core | 3 | Boolean Algebra, Logic Gates, Combinational Circuits, Sequential Circuits, Registers and Counters |
| 1CSB207 | Management Information Systems | Core | 3 | Role of MIS in Business, Information Systems Development, Database Management for MIS, Decision Support Systems, E-commerce and Global MIS |
| 1CSB221 | Object Oriented Programming with C++ Lab | Lab | 1.5 | C++ Program Development, Class and Object Implementation, Inheritance and Polymorphism Examples, Operator Overloading, File Handling in C++ |
| 1CSB223 | Digital Logic Design Lab | Lab | 1.5 | Logic Gates Realization, Combinational Circuit Design, Flip-flop Implementations, Shift Registers, Counters Design |
| 1GNE201 | Universal Human Values 2 | Non-Credit | 0 | Understanding Harmony in Self, Harmony in Family and Society, Harmony in Nature, Professional Ethics, Holistic Development |
| 1CSB261 | Skill Enhancement Course-I (Programming with Java) | Lab | 3 | Java Basics, Object-Oriented Programming in Java, Exception Handling, Collections Framework, Multithreading |
| 1CSB263 | Skill Enhancement Course-II (Operating Systems) | Lab | 3 | Process Management, CPU Scheduling, Memory Management, File Systems, Deadlocks |
| 1CSB265 | Skill Enhancement Course-III (Database Management Systems) | Lab | 3 | SQL Queries, Database Design, Normalization, Transactions, Database Connectivity |
| 1CSB267 | Skill Enhancement Course-IV (Computer Networks) | Lab | 3 | Network Topologies, TCP/IP Protocol Suite, Routing Protocols, Socket Programming, Network Security Basics |
| 1CSB269 | Skill Enhancement Course-V (Web Technologies) | Lab | 3 | HTML and CSS, JavaScript, DOM Manipulation, Client-Server Architecture, Responsive Web Design |
Semester 4
| Subject Code | Subject Name | Subject Type | Credits | Key Topics |
|---|---|---|---|---|
| 1CSB202 | Probability and Statistics | Core | 3 | Probability Theory, Random Variables, Probability Distributions, Sampling Distributions, Hypothesis Testing |
| 1CSB204 | Operating Systems | Core | 3 | Operating System Structures, Process Management, Memory Management, Storage Management, Protection and Security |
| 1CSB206 | Computer Networks | Core | 3 | Network Models (OSI/TCP-IP), Data Link Layer, Network Layer, Transport Layer, Application Layer |
| 1CSB208 | Database Management Systems | Core | 3 | ER Model, Relational Model, SQL and Query Optimization, Transaction Management, Concurrency Control |
| 1CSB222 | Operating Systems Lab | Lab | 1.5 | Shell Scripting, Process Creation and Management, IPC Mechanisms, CPU Scheduling Algorithms, Memory Allocation Algorithms |
| 1CSB224 | Computer Networks Lab | Lab | 1.5 | Network Configuration, Socket Programming, Packet Sniffing, Routing Protocol Simulation, Client-Server Applications |
| 1CSB226 | Database Management Systems Lab | Lab | 1.5 | Advanced SQL Queries, PL/SQL Programming, Database Triggers, Stored Procedures, JDBC/ODBC Connectivity |
| 1CSB262 | Skill Enhancement Course-VI (Advanced Java Programming) | Lab | 3 | Swing/JavaFX, JDBC, Servlets and JSP, Spring Framework Basics, RESTful Web Services |
| 1CSB264 | Skill Enhancement Course-VII (Data Warehousing and Data Mining) | Lab | 3 | Data Preprocessing, Data Warehousing Concepts, OLAP Operations, Association Rule Mining, Classification Algorithms |
| 1CSB266 | Skill Enhancement Course-VIII (Mobile Application Development) | Lab | 3 | Android/iOS Development Basics, UI/UX Design, Activity Lifecycle, Data Storage in Mobile Apps, Notifications and Permissions |
| 1CSB268 | Skill Enhancement Course-IX (Cloud Computing) | Lab | 3 | Cloud Service Models (IaaS, PaaS, SaaS), Cloud Deployment Models, Virtualization, Cloud Security, AWS/Azure/GCP Services |
| 1CSB270 | Skill Enhancement Course-X (Internet of Things) | Lab | 3 | IoT Architecture, Sensors and Actuators, Communication Protocols (MQTT, CoAP), Microcontrollers (Arduino/Raspberry Pi), IoT Data Analytics |
| 1CSB282 | Skill Development Course | Non-Credit | 0 | Personality Development, Problem-Solving Skills, Teamwork and Collaboration, Critical Thinking, Time Management |
Semester 5
| Subject Code | Subject Name | Subject Type | Credits | Key Topics |
|---|---|---|---|---|
| 1CSB301 | Compiler Design | Core | 3 | Lexical Analysis, Syntax Analysis, Semantic Analysis, Intermediate Code Generation, Code Optimization |
| 1CSB303 | Business Statistics | Core | 3 | Measures of Central Tendency, Correlation and Regression, Time Series Analysis, Index Numbers, Decision Theory |
| 1CSB305 | Software Engineering | Core | 3 | Software Development Life Cycle, Software Requirements, Software Design, Software Testing, Software Project Management |
| 1CSB343 | Advanced Data Structures (Program Elective - I) | Elective | 3 | Heaps and Priority Queues, Balanced Trees (AVL, Red-Black), Hashing Techniques, Disjoint Set Union, Tries |
| 1CSB345 | Big Data Analytics (Program Elective - I) | Elective | 3 | Big Data Concepts, Hadoop Ecosystem (HDFS, MapReduce), Spark Framework, NoSQL Databases, Stream Processing |
| 1CSB347 | Image Processing (Program Elective - I) | Elective | 3 | Image Enhancement, Image Restoration, Image Segmentation, Feature Extraction, Image Compression |
| 1CSB349 | Machine Learning (Program Elective - I) | Elective | 3 | Supervised Learning, Unsupervised Learning, Regression Algorithms, Classification Algorithms, Model Evaluation |
| 1CSB3xx | Open Elective - I | Elective | 3 | |
| 1CSB321 | Compiler Design Lab | Lab | 1.5 | Lexical Analyzer Implementation, Parser Implementation, Syntax Tree Generation, Intermediate Code Generation, Simple Code Optimization |
| 1CSB323 | Software Engineering Lab | Lab | 1.5 | Requirement Gathering Tools, UML Diagramming, Software Design Patterns, Automated Testing Tools, Version Control Systems |
| 1CSB341 | Business Communication Skills | Core | 2 | Professional Writing, Presentation Skills, Negotiation Skills, Intercultural Communication, Report Writing |
| 1CSB381 | Project Work I | Project | 1.5 | Problem Identification, Literature Survey, Project Planning, Design Documentation, Preliminary Implementation |
Semester 6
| Subject Code | Subject Name | Subject Type | Credits | Key Topics |
|---|---|---|---|---|
| 1CSB302 | Data Mining and Data Warehousing | Core | 3 | Data Warehouse Architecture, ETL Process, OLAP and OLTP, Clustering Algorithms, Web Mining |
| 1CSB304 | Financial Management | Core | 3 | Financial Statement Analysis, Working Capital Management, Capital Budgeting, Cost of Capital, Risk and Return |
| 1CSB344 | Distributed Systems (Program Elective - II) | Elective | 3 | Distributed System Architectures, Remote Procedure Call, Distributed File Systems, Consistency and Replication, Fault Tolerance |
| 1CSB346 | Computer Graphics (Program Elective - II) | Elective | 3 | 2D and 3D Transformations, Clipping Algorithms, Rendering Techniques, Color Models, Animation Principles |
| 1CSB348 | Human Computer Interaction (Program Elective - II) | Elective | 3 | Usability Principles, User-Centered Design, Interaction Styles, Evaluation Techniques, Accessibility |
| 1CSB350 | Natural Language Processing (Program Elective - II) | Elective | 3 | Text Preprocessing, Tokenization and Tagging, Syntactic Analysis, Semantic Analysis, Machine Translation |
| 1CSB3xx | Open Elective - II | Elective | 3 | |
| 1CSB3xx | Open Elective - III | Elective | 3 | |
| 1CSB322 | Data Mining and Data Warehousing Lab | Lab | 1.5 | Data Preprocessing using Tools, Building Data Cubes, Implementing Association Rules, Classification Model Building, Clustering Algorithms Implementation |
| 1CSB382 | Project Work II | Project | 1.5 | Module Development, Testing and Debugging, Integration, Progress Reporting, Documentation |
| 1CSB352 | Skill Development Course | Non-Credit | 0 | Advanced Technical Communication, Leadership Skills, Interview Preparation, Entrepreneurial Thinking, Innovation Management |
Semester 7
| Subject Code | Subject Name | Subject Type | Credits | Key Topics |
|---|---|---|---|---|
| 1CSB401 | Artificial Intelligence | Core | 3 | AI Problem Solving, Knowledge Representation, Search Algorithms, Machine Learning Fundamentals, Expert Systems |
| 1CSB403 | Operations Research | Core | 3 | Linear Programming, Transportation Problems, Assignment Problems, Network Analysis, Queuing Theory |
| 1CSB441 | Blockchain Technology (Program Elective - III) | Elective | 3 | Cryptographic Primitives, Distributed Ledger Technology, Bitcoin and Ethereum, Smart Contracts, Decentralized Applications |
| 1CSB443 | Cyber Security (Program Elective - III) | Elective | 3 | Network Security, Cryptography, Web Security, Malware Analysis, Cyber Forensics |
| 1CSB445 | Deep Learning (Program Elective - III) | Elective | 3 | Neural Network Architectures, Convolutional Neural Networks, Recurrent Neural Networks, Autoencoders, Generative Adversarial Networks |
| 1CSB447 | Game Theory (Program Elective - III) | Elective | 3 | Nash Equilibrium, Zero-Sum Games, Repeated Games, Evolutionary Game Theory, Mechanism Design |
| 1CSB449 | Digital Marketing (Program Elective - IV) | Elective | 3 | SEO and SEM, Social Media Marketing, Content Marketing, Email Marketing, Analytics and KPIs |
| 1CSB451 | E-Commerce (Program Elective - IV) | Elective | 3 | E-commerce Models, Payment Systems, Security in E-commerce, Mobile Commerce, E-commerce Strategy |
| 1CSB453 | Financial Technology (Program Elective - IV) | Elective | 3 | FinTech Ecosystem, Digital Payments, Blockchain in Finance, Robo-Advisors, Regulatory Technology (RegTech) |
| 1CSB455 | Supply Chain Management (Program Elective - IV) | Elective | 3 | Supply Chain Design, Logistics and Warehousing, Inventory Management, Supply Chain Risk Management, Digital Supply Chains |
| 1CSB4xx | Open Elective - IV | Elective | 3 | |
| 1CSB421 | Artificial Intelligence Lab | Lab | 1.5 | Search Algorithm Implementation, Prolog/LISP Programming, Knowledge Representation Systems, Mini-AI Project, Machine Learning Library Usage |
| 1CSB481 | Project Work III | Project | 1.5 | Advanced Module Development, System Integration Testing, Performance Optimization, User Acceptance Testing, Technical Report Writing |
Semester 8
| Subject Code | Subject Name | Subject Type | Credits | Key Topics |
|---|---|---|---|---|
| 1CSB491 | Internship / Project Work IV | Internship/Project | 10 | Industry Exposure, Real-world Problem Solving, Application Development, Professional Documentation, Presentation of Results |
| 1CSB442 | Quantum Computing (Program Elective - V) | Elective | 2.5 | Quantum Mechanics Basics, Qubits and Superposition, Quantum Gates, Quantum Algorithms, Quantum Cryptography |
| 1CSB444 | Robotics (Program Elective - V) | Elective | 2.5 | Robot Kinematics, Robot Dynamics, Sensors and Actuators, Robot Control, Path Planning |
| 1CSB446 | Virtual and Augmented Reality (Program Elective - V) | Elective | 2.5 | VR/AR Devices, 3D Graphics and Modeling, Interaction Techniques, Haptic Feedback, VR/AR Applications |
| 1CSB448 | Design and Analysis of Algorithms (Program Elective - V) | Elective | 2.5 | Algorithm Complexity, Greedy Algorithms, Dynamic Programming, Graph Algorithms, NP-Completeness |
| 1CSB450 | Business Analytics (Program Elective - VI) | Elective | 2.5 | Descriptive Analytics, Predictive Analytics, Prescriptive Analytics, Data Visualization, Business Intelligence Tools |
| 1CSB452 | Customer Relationship Management (Program Elective - VI) | Elective | 2.5 | CRM Strategy, Customer Data Management, Marketing Automation, Sales Force Automation, Customer Service Management |
| 1CSB454 | Entrepreneurship and New Venture Creation (Program Elective - VI) | Elective | 2.5 | Startup Ecosystem, Business Plan Development, Market Analysis, Funding and Venture Capital, Legal Aspects of Startups |
| 1CSB456 | Intellectual Property Rights (Program Elective - VI) | Elective | 2.5 | Patents, Copyrights, Trademarks, Trade Secrets, IPR in Digital Age |
