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BACHELOR-OF-ENGINEERING in Computer Science And Business Systems at Bapuji Institute of Engineering & Technology
Davangere, Karnataka
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About the Specialization
What is Computer Science and Business Systems at Bapuji Institute of Engineering & Technology Davangere?
This Computer Science and Business Systems program at Bapuji Institute of Engineering and Technology focuses on building a unique blend of technical computing skills and core business acumen. It is designed to bridge the gap between technology and management, creating professionals who can understand and leverage technology for business solutions, a critical need in India''''s rapidly digitalizing economy. The curriculum emphasizes both theoretical foundations and practical applications across these two domains.
Who Should Apply?
This program is ideal for aspiring engineers with a strong interest in both computer science and business applications, fresh graduates seeking entry into technology consulting or product management fields, and those looking to develop innovative solutions for business challenges. It suits students who have completed 10+2 with a science background and a minimum aggregate score as per VTU norms, aiming for a holistic career in tech-driven business environments.
Why Choose This Course?
Graduates of this program can expect diverse India-specific career paths, including roles as Business Analysts, Data Scientists, IT Consultants, Product Managers, and Software Development Engineers with a business focus. Entry-level salaries typically range from INR 4-8 LPA, with significant growth trajectories in Indian tech and consulting firms. It also aligns with professional certifications in areas like business analytics, cloud platforms, and project management, enhancing career prospects.
Student Success Practices
Foundation Stage
Master Core Programming and Mathematics- (Semester 1-2)
Actively engage with subjects like Programming in C and Data Structures and Computer Programming (Python) by consistent coding practice. Utilize platforms like HackerRank, GeeksforGeeks, and participate in local competitive programming clubs to build strong algorithmic foundations. This strengthens problem-solving skills crucial for technical interviews and future specialized courses.
Tools & Resources
HackerRank, GeeksforGeeks, CodeChef, VS Code
Career Connection
Strong fundamentals are essential for cracking technical rounds of placement interviews for IT services and product companies in India.
Develop Strong Communication Skills- (Semester 1-2)
Focus on Communicative English by actively participating in debates, presentations, and group discussions. Join college clubs like Toastmasters or literary societies to hone public speaking and writing abilities. Effective communication is vital for collaborating in business-tech roles and articulating complex technical solutions to non-technical stakeholders in Indian corporate settings.
Tools & Resources
Toastmasters, College Literary Clubs, Grammarly, Presentation software
Career Connection
Enhances soft skills, crucial for group discussions, client interactions, and leadership roles in all industries.
Explore Interdisciplinary Concepts Early- (Semester 1-2)
While focusing on core subjects, proactively read up on emerging trends at the intersection of business and technology. Attend introductory workshops or webinars on topics like design thinking, basic financial literacy, or digital transformation. This broadens perspective and helps identify specific areas of interest within the Computer Science and Business Systems domain.
Tools & Resources
Coursera, edX, NPTEL, Business Magazines
Career Connection
A broad understanding helps in choosing relevant electives and identifying niche career paths, making you a more versatile candidate.
Intermediate Stage
Build Practical Project Portfolios- (Semester 3-5)
Apply knowledge from Data Structures, Object-Oriented Programming with Java, and Database Management Systems by developing small-scale, real-world projects. Collaborate with peers on team projects, leverage GitHub for version control, and present your work in college fests or internal competitions. A robust project portfolio showcases practical, applied skills to Indian recruiters for internships and entry-level positions.
Tools & Resources
GitHub, Visual Studio Code, Eclipse/IntelliJ, MySQL/PostgreSQL
Career Connection
Hands-on projects are critical for demonstrating practical competence, leading to better internship and placement opportunities.
Seek Early Industry Exposure- (Semester 3-5)
Actively look for summer internships or part-time projects in companies, even small startups, after the 3rd or 4th semester. Engage seriously with the Internship (Mandatory) component of the curriculum. Attend industry talks, workshops, and career fairs organized by BIET or external bodies. This provides invaluable real-world context, helps in understanding corporate culture, and offers networking opportunities within the Indian tech ecosystem.
Tools & Resources
LinkedIn, Internshala, College Career Fairs, Industry Events
Career Connection
Internships convert into pre-placement offers, build industry contacts, and make you more ''''job-ready'''' for recruiters.
Specialize with Electives and Certifications- (Semester 5)
Strategically choose Professional Electives (e.g., Cloud Computing, Business Analytics) and Open Electives based on your evolving career interests. Supplement classroom learning with industry-recognized certifications from platforms like NPTEL, Coursera, or vendor-specific programs (e.g., AWS Cloud Practitioner, Microsoft Certified Azure Fundamentals) to gain a competitive edge in specific domains.
Tools & Resources
NPTEL, Coursera, edX, AWS Certifications, Microsoft Certifications
Career Connection
Specialized skills and certifications make you a niche candidate, opening doors to specific roles and potentially higher salaries.
Advanced Stage
Intensive Placement Preparation- (Semester 6-8)
Dedicate significant time to Project Work Phase - I & II, aiming to build substantial, industry-relevant projects. Practice aptitude, logical reasoning, and technical interview questions rigorously using online platforms and BIET''''s placement training resources. Participate in mock interviews and group discussions to thoroughly prepare for the demanding Indian recruitment process.
Tools & Resources
LeetCode, HackerRank, GeeksforGeeks, BIET Placement Cell, Mock Interview Platforms
Career Connection
Directly impacts success in securing desired placements with leading companies during the final year recruitment drives.
Cultivate Leadership and Mentorship- (Semester 6-8)
Take on leadership roles in technical clubs, mentor junior students, or organize college events and workshops. Engage actively with faculty for research guidance, especially for the Technical Seminar. Developing strong soft skills, teamwork, and leadership qualities is highly valued for career progression in Indian organizations and helps in assuming managerial responsibilities later.
Tools & Resources
College Technical Clubs, Student Organizations, Faculty Mentors
Career Connection
Enhances soft skills and leadership potential, which are critical for climbing the corporate ladder and effective team management.
Network and Professional Branding- (Semester 7-8)
Actively attend professional conferences, industry webinars, and alumni meetups. Leverage platforms like LinkedIn for professional networking with BIET alumni and industry professionals. Create a strong online presence showcasing your projects, skills, and certifications. This proactive approach is crucial for identifying top placement opportunities, gaining industry insights, and exploring future career growth avenues beyond campus placements.
Tools & Resources
LinkedIn, Professional Conferences, Alumni Networks, Personal Website/Portfolio
Career Connection
Expands career opportunities, provides access to hidden job markets, and fosters long-term professional relationships that aid career progression.
Program Structure and Curriculum
Eligibility:
- Passed 2nd PUC / 12th Std / equivalent exam with English as one of the languages, and obtained a minimum of 45% marks in aggregate in Physics and Mathematics as compulsory subjects, along with Chemistry / Bio-Technology / Biology / Electronics / Computer Science / Technical Vocational subject. (40% for SC/ST and Category-I of Karnataka candidates).
Duration: 4 years / 8 semesters
Credits: 160 Credits
Assessment: Internal: 50%, External: 50%
Semester-wise Curriculum Table
Semester 1
| Subject Code | Subject Name | Subject Type | Credits | Key Topics |
|---|---|---|---|---|
| 22MATS11 | Applied Mathematics-I | Core | 3 | Differential Calculus-I, Differential Calculus-II, Partial Differentiation and Applications, Vector Calculus, Multiple Integrals |
| 22PCD12 | Programming in C and Data Structures | Core | 4 | Introduction to C, Control Structures, Functions and Pointers, Structures and Unions, Data Structures, Searching and Sorting |
| 22ELC13 | Basic Electronics and Communication Engineering | Core | 3 | Semiconductor Diodes, Transistors, Operational Amplifiers, Digital Electronics, Communication Systems |
| 22EEE14 | Basic Electrical Engineering | Core | 3 | DC Circuits, AC Circuits, Three-Phase Systems, Electrical Machines, Measuring Instruments |
| 22CIV15 | Elements of Civil Engineering and Mechanics | Core | 3 | Introduction to Civil Engineering, Building Materials, Stress and Strain, Equilibrium of Forces, Trusses |
| 22PCDL16 | Programming in C and Data Structures Laboratory | Lab | 1 | C Programming Basics, Control Structures Implementation, Functions and Arrays, Data Structures using C, File Handling |
| 22EGH17 | Communicative English | Core | 1 | Speaking Skills, Reading Skills, Writing Skills, Listening Skills, Presentation Skills |
| 22FDH18 | Foundry & Forging/Welding & Sheet Metal Lab | Lab | 1 | Sand Casting, Forging Operations, Arc Welding, Sheet Metal Forming, Machine Shop Safety |
Semester 2
| Subject Code | Subject Name | Subject Type | Credits | Key Topics |
|---|---|---|---|---|
| 22MATS21 | Applied Mathematics-II | Core | 3 | Linear Algebra, Eigenvalues and Eigenvectors, Numerical Methods-I, Numerical Methods-II, Solution of Differential Equations |
| 22CPC22 | Computer Programming | Core | 4 | Python Programming Basics, Data Types and Operators, Control Flow, Functions and Modules, Object-Oriented Programming, File I/O |
| 22PHY23 | Engineering Physics | Core | 3 | Quantum Mechanics, Lasers, Optical Fibers, Material Science, Nanotechnology |
| 22ENV24 | Environmental Studies | Core | 3 | Ecosystems, Environmental Pollution, Natural Resources, Sustainable Development, Environmental Protection Acts |
| 22ME25 | Elements of Mechanical Engineering | Core | 3 | Thermodynamics, Power Plants, IC Engines, Refrigeration and Air Conditioning, Manufacturing Processes |
| 22CPCL26 | Computer Programming Lab | Lab | 1 | Python Programming, Data Structures in Python, Object-Oriented Concepts, File Operations, Problem Solving |
| 22CHY27 | Engineering Chemistry | Core | 3 | Electrochemistry, Corrosion, Polymers, Water Technology, Fuels and Combustion |
| 22CADL28 | Computer Aided Engineering Drawing Lab | Lab | 1 | Orthographic Projections, Isometric Projections, Sectional Views, CAD Software, Assembly Drawing |
Semester 3
| Subject Code | Subject Name | Subject Type | Credits | Key Topics |
|---|---|---|---|---|
| 22CSB31 | Digital Logic Design | Core | 4 | Boolean Algebra, Logic Gates, Combinational Logic, Sequential Logic, Registers and Counters |
| 22CSB32 | Data Structures and Algorithms | Core | 4 | Arrays and Linked Lists, Stacks and Queues, Trees, Graphs, Sorting and Searching Algorithms, Hashing |
| 22CSB33 | Object Oriented Programming with Java | Core | 4 | Java Fundamentals, Classes and Objects, Inheritance, Polymorphism, Exception Handling, Collections |
| 22CSB34 | Database Management Systems | Core | 4 | Database Concepts, Relational Model, SQL Queries, Normalization, Transaction Management, Concurrency Control |
| 22CSB35 | Indian Constitution and Professional Ethics | Core (Non-Credit Mandatory) | 0 | Indian Constitution, Fundamental Rights, Directive Principles, Professional Ethics, Cyber Ethics, Environmental Ethics |
| 22CSBL36 | Data Structures and Algorithms Lab | Lab | 1 | Implementation of Linked Lists, Stack and Queue Operations, Tree Traversal, Graph Algorithms, Sorting Techniques |
| 22CSBL37 | Object Oriented Programming Lab | Lab | 1 | Java Classes and Objects, Inheritance and Interfaces, Polymorphism, Exception Handling, GUI Programming Basics |
| 22CSBL38 | DBMS Lab | Lab | 1 | SQL Data Definition, SQL Data Manipulation, Joins and Subqueries, PL/SQL Programming, Database Triggers |
| 22KSK39 | Samskrutika Kannada / Balake Kannada | Core (Non-Credit Mandatory) | 0 | Kannada Language Basics, Grammar, Cultural Aspects, Prose and Poetry, Basic Communication |
Semester 4
| Subject Code | Subject Name | Subject Type | Credits | Key Topics |
|---|---|---|---|---|
| 22CSB41 | Computer Organization and Architecture | Core | 4 | Basic Computer Organization, CPU Design, Memory Hierarchy, I/O Organization, Pipelining, Parallel Processing |
| 22CSB42 | Operating Systems | Core | 4 | OS Introduction, Process Management, CPU Scheduling, Deadlocks, Memory Management, File Systems |
| 22CSB43 | Software Engineering | Core | 4 | Software Development Life Cycle, Requirements Engineering, Design Principles, Software Testing, Project Management, Agile Development |
| 22CSB44 | Theory of Computation | Core | 4 | Finite Automata, Regular Expressions, Context-Free Grammars, Pushdown Automata, Turing Machines, Undecidability |
| 22CSB45 | Research Methodology and IPR | Core (Non-Credit Mandatory) | 0 | Research Problem Formulation, Data Collection, Research Design, IPR Fundamentals, Patents, Copyrights |
| 22CSBL46 | Operating Systems Lab | Lab | 1 | Linux Commands, Shell Scripting, Process Creation, CPU Scheduling Algorithms, IPC Mechanisms, Thread Synchronization |
| 22CSBL47 | Software Engineering Lab | Lab | 1 | Requirement Gathering, UML Diagrams, Test Case Generation, Project Planning Tools, Version Control, Agile Practices |
| 22CSBL48 | Mini Project | Project | 2 | Problem Identification, Design and Implementation, Testing and Debugging, Project Report Writing, Presentation Skills |
Semester 5
| Subject Code | Subject Name | Subject Type | Credits | Key Topics |
|---|---|---|---|---|
| 22CSB51 | Computer Networks | Core | 4 | Network Models, Physical Layer, Data Link Layer, Network Layer, Transport Layer, Application Layer |
| 22CSB52 | Automata and Compiler Design | Core | 4 | Lexical Analysis, Syntax Analysis, Semantic Analysis, Intermediate Code Generation, Code Optimization, Compiler Tools |
| 22CSB53 | Artificial Intelligence and Machine Learning | Core | 4 | AI Introduction, Search Algorithms, Knowledge Representation, Machine Learning Fundamentals, Supervised Learning, Unsupervised Learning |
| 22CSB54X | Professional Elective - I | Elective | 3 | Digital Image Processing (Example Elective), Image Enhancement, Image Segmentation, Feature Extraction, Image Compression, Color Image Processing |
| 22CSB55X | Open Elective - I | Elective | 3 | Introduction to Data Science (Example Elective), Data Science Process, Data Collection, Data Cleaning, Exploratory Data Analysis, Data Visualization |
| 22CSBL56 | Computer Networks Lab | Lab | 1 | Network Configuration, Socket Programming, Network Traffic Analysis, Routing Protocols, DNS and DHCP, Network Security Tools |
| 22CSBL57 | Machine Learning Lab | Lab | 1 | Python for ML, Data Preprocessing, Supervised Learning Algorithms, Unsupervised Learning Algorithms, Model Evaluation, Data Visualization |
| 22INT58 | Internship (Mandatory) | Internship | 1 | Industry Exposure, Project Implementation, Professional Skill Development, Report Writing, Presentation |
Semester 6
| Subject Code | Subject Name | Subject Type | Credits | Key Topics |
|---|---|---|---|---|
| 22CSB61 | Web Technologies | Core | 4 | HTML5, CSS3, JavaScript, DOM, AJAX, Web Services |
| 22CSB62 | Cryptography and Network Security | Core | 4 | Symmetric Key Cryptography, Asymmetric Key Cryptography, Hashing, Digital Signatures, Network Security Protocols, Firewalls |
| 22CSB63 | Data Warehousing and Data Mining | Core | 4 | Data Warehousing Concepts, OLAP, Data Preprocessing, Association Rule Mining, Classification, Clustering Algorithms |
| 22CSB64X | Professional Elective - II | Elective | 3 | Big Data Analytics (Example Elective), Big Data Concepts, Hadoop Ecosystem, MapReduce, Spark, NoSQL Databases |
| 22CSB65X | Open Elective - II | Elective | 3 | Introduction to Deep Learning (Example Elective), Neural Networks, Deep Learning Architectures, Convolutional Neural Networks, Recurrent Neural Networks, Transfer Learning |
| 22CSBL66 | Web Technologies Lab | Lab | 1 | HTML/CSS Layouts, JavaScript Interactivity, Dynamic Web Content, Database Integration, API Consumption, Frontend Frameworks |
| 22CSBL67 | Data Mining Lab | Lab | 1 | Data Preprocessing, Association Rules using Apriori, Classification Algorithms, Clustering Algorithms, Data Visualization, Weka/Python Tools |
| 22MIN68 | Mini Project with Seminar | Project | 2 | Advanced Problem Solving, System Design, Implementation, Testing, Technical Report, Oral Presentation |
Semester 7
| Subject Code | Subject Name | Subject Type | Credits | Key Topics |
|---|---|---|---|---|
| 22CSB71 | Project Work Phase - I | Project | 8 | Project Planning, Literature Survey, Requirement Analysis, Design Specification, Prototype Development, Progress Reporting |
| 22CSB72X | Professional Elective - III | Elective | 3 | Cloud Computing (Example Elective), Cloud Service Models, Deployment Models, Virtualization, Cloud Security, Cloud Storage, AWS/Azure/GCP Overview |
| 22CSB73X | Professional Elective - IV | Elective | 3 | Cyber Security and Forensics (Example Elective), Cybercrime, Digital Forensics, Network Forensics, Malware Analysis, Incident Response, Legal Aspects of Cybersecurity |
| 22INT74 | Internship/Mini-project | Internship/Project | 6 | Advanced Industry Experience, Problem Solving, Report Writing, Advanced Design, Implementation, Presentation |
Semester 8
| Subject Code | Subject Name | Subject Type | Credits | Key Topics |
|---|---|---|---|---|
| 22CSB81 | Project Work Phase - II | Project | 12 | Final System Development, Comprehensive Testing, Documentation, Performance Evaluation, Project Demonstration, Viva Voce |
| 22CSB82X | Professional Elective - V | Elective | 3 | Quantum Computing (Example Elective), Quantum Mechanics Basics, Qubits, Quantum Gates, Quantum Algorithms, Quantum Cryptography, Quantum Machine Learning |
| 22CSB83 | Technical Seminar | Core | 1 | Literature Review, Technical Report Writing, Presentation Skills, Peer Discussion, Current Technology Trends, Research Ethics |
