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B-SC-HONS in Computer Science at Alliance University
Bengaluru, Karnataka
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About the Specialization
What is Computer Science at Alliance University Bengaluru?
This B.Sc (Hons) Computer Science program at Alliance University focuses on equipping students with a robust foundation in computational theories, programming paradigms, data structures, and emerging technologies crucial for the modern digital landscape. The curriculum is meticulously designed to foster innovation and problem-solving skills, aligning with the dynamic demands of the Indian IT sector. It integrates core computer science principles with practical application, preparing graduates for a wide array of roles in technology-driven industries within India and globally.
Who Should Apply?
This program is ideal for fresh 10+2 graduates with a strong aptitude for mathematics and an inquisitive mind for technology, aspiring to build a career in the computing domain. It also caters to individuals seeking a comprehensive undergraduate degree that combines theoretical knowledge with hands-on experience. Students from diverse academic backgrounds who are keen to transition into the fast-paced IT industry will find this program beneficial, provided they meet the foundational prerequisites in mathematics.
Why Choose This Course?
Graduates of this program can expect to pursue rewarding career paths such as Software Developer, Data Analyst, Web Developer, AI/ML Engineer, Database Administrator, and Cyber Security Analyst in leading Indian and multinational companies. Entry-level salaries typically range from INR 4-7 LPA, with experienced professionals earning significantly more. The strong curriculum foundation also prepares students for higher studies like M.Sc or MCA, and aligns with certifications in areas like Cloud Computing, Data Science, and Cybersecurity, enhancing their growth trajectories.
Student Success Practices
Foundation Stage
Master Programming Fundamentals & Data Structures- (Semester 1-2)
Dedicate significant time to mastering core programming concepts in C++ and Java, coupled with robust data structures. Regularly solve problems on online coding platforms to build logical thinking and implementation skills. Understand the underlying theory of each data structure and algorithm.
Tools & Resources
HackerRank, LeetCode, GeeksforGeeks, CodeChef, W3Schools, Official Java/C++ Documentation
Career Connection
Essential for clearing technical rounds in placements for roles like Software Developer, Data Structures & Algorithms Engineer.
Build Strong Mathematical and Logical Foundations- (Semester 1-2)
Pay close attention to Discrete Mathematics and problem-solving modules. Practice logical reasoning, proof techniques, and combinatorics. Engage in brain-teaser challenges and logical puzzles to sharpen analytical abilities crucial for advanced CS topics.
Tools & Resources
Online Logic Puzzles, University Math Tutors, Competitive Programming Problem Sets
Career Connection
Develops analytical skills vital for complex algorithm design, data analysis, and success in aptitude tests for placements.
Cultivate Effective Communication and Personality- (Semester 1-2)
Actively participate in the Personality Development and Communication Skills course. Practice public speaking, group discussions, and professional writing. Join student clubs focused on debates, presentations, or toastmasters to enhance confidence and interpersonal skills.
Tools & Resources
Grammarly, TED Talks, University Communication Workshops, Student Clubs (e.g., Debate Club)
Career Connection
Crucial for interview success, team collaboration, and effective presentation of project work in professional settings.
Intermediate Stage
Apply Theoretical Knowledge in Labs & Mini-Projects- (Semester 3-4)
Go beyond prescribed lab exercises. Proactively build small-scale personal projects using Python, web technologies, and database systems. Implement algorithms studied in the ''''Design and Analysis of Algorithms'''' course. Participate in hackathons or coding challenges to get hands-on experience.
Tools & Resources
GitHub, VS Code, Django/Flask, React/Angular, MySQL/MongoDB, Kaggle
Career Connection
Creates a strong project portfolio, demonstrating practical skills and problem-solving abilities to recruiters, essential for internships and job applications.
Explore Emerging Technologies through Electives- (Semester 3-4)
Carefully choose Generic Electives (GE-II, GE-III) based on career interests. Supplement classroom learning with online courses (Coursera, Udemy, NPTEL) in areas like IoT, Cloud Computing, Data Analytics, or RPA. Attend industry webinars and tech talks.
Tools & Resources
Coursera, edX, NPTEL, Udemy, LinkedIn Learning, AWS/Azure Documentation
Career Connection
Develops specialized skills in high-demand areas, making students more competitive for niche roles and demonstrating a proactive learning attitude.
Network and Seek Mentorship- (Semester 3-4)
Engage with faculty, senior students, and industry professionals through university events, LinkedIn, or professional meetups. Seek guidance on career paths, project ideas, and industry trends. Participate in alumni networking events.
Tools & Resources
LinkedIn, University Career Fairs, Alumni Network Platforms, Industry Conferences
Career Connection
Opens doors to internship opportunities, valuable career advice, and potential job referrals within the Indian tech ecosystem.
Advanced Stage
Excel in Specialization-Focused Projects and Internships- (Semester 5-6)
Leverage Discipline Specific Electives (DSEs) to delve deep into a chosen area (e.g., AI/ML, Cybersecurity, Cloud). The Mini Project and Major Project should be innovative, industry-relevant, and showcase advanced skills. Secure an internship to gain real-world experience.
Tools & Resources
TensorFlow, PyTorch, AWS/Azure Services, Security Tools, Project Management Software, Company Internship Portals
Career Connection
Provides critical work experience, validates specialized skills, often leads to pre-placement offers, and strengthens the resume for final placements.
Intensive Placement Preparation and Skill Refinement- (Semester 5-6)
Begin rigorous preparation for campus placements. Practice aptitude tests, technical interviews (data structures, algorithms, OS, DBMS, networking), and HR interviews. Create a compelling resume and LinkedIn profile. Participate in mock interviews and group discussions.
Tools & Resources
Online Aptitude Platforms, Interview Preparation Books, Resume Builders, University Placement Cell Resources
Career Connection
Directly impacts success in campus placements, leading to securing desired job roles in leading Indian IT companies or startups.
Develop a Professional Portfolio and Personal Brand- (Semester 5-6)
Curate all projects, internships, certifications, and achievements into an accessible online portfolio (e.g., personal website, GitHub profile). Actively contribute to open-source projects or write technical blogs related to your specialization to showcase expertise and build a personal brand.
Tools & Resources
GitHub, Personal Website Builders (e.g., WordPress), Medium, LinkedIn
Career Connection
Differentiates candidates in a competitive job market, demonstrates initiative, expertise, and a passion for technology, attracting recruiters for specialized roles.
Program Structure and Curriculum
Eligibility:
- 10+2 from a recognised board with 45% (40% for SC/ST) aggregate marks with Mathematics as a compulsory subject.
Duration: 6 semesters / 3 years
Credits: 136 Credits
Assessment: Internal: 50%, External: 50%
Semester-wise Curriculum Table
Semester 1
| Subject Code | Subject Name | Subject Type | Credits | Key Topics |
|---|---|---|---|---|
| CS-DSC-101 | Basic Computer Engineering | Core | 4 | Introduction to Computing, Digital Logic and Circuits, Processor Basics, Operating Systems Fundamentals, Networking Fundamentals |
| CS-DSC-102 | Data Structures using C++ | Core | 4 | C++ Fundamentals, Arrays and Pointers, Stacks and Queues, Linked Lists, Trees and Graphs, Sorting and Searching Algorithms |
| CS-PCC-101 | Data Structures using C++ Lab | Practical | 1 | C++ Program Development, Array and String Operations, Stack and Queue Implementation, Linked List Exercises, Tree Traversal Algorithms |
| CS-DSC-103 | Discrete Mathematics | Core | 4 | Mathematical Logic, Set Theory, Relations and Functions, Graph Theory Basics, Combinatorics and Probability |
| AEC-101 | Environmental Studies | Ability Enhancement | 2 | Ecosystems and Biodiversity, Environmental Pollution, Natural Resources Management, Global Environmental Issues, Environmental Ethics |
| PDC-101 | Personality Development and Communication Skills | Professional Development | 3 | Self-Awareness and Self-Management, Verbal Communication Skills, Non-Verbal Communication, Listening and Feedback, Presentation Skills, Group Discussion Techniques |
| VAC-101 | Indian Constitution | Value Added | 2 | Preamble and Fundamental Rights, Directive Principles of State Policy, Union and State Governments, Indian Judiciary System, Constitutional Amendments |
Semester 2
| Subject Code | Subject Name | Subject Type | Credits | Key Topics |
|---|---|---|---|---|
| CS-DSC-201 | Object Oriented Programming with Java | Core | 4 | Java Language Fundamentals, Classes and Objects, Inheritance and Polymorphism, Abstract Classes and Interfaces, Exception Handling, Multithreading |
| CS-PCC-201 | Object Oriented Programming with Java Lab | Practical | 1 | Java Program Development, Class and Object Implementation, Inheritance and Interface Exercises, Exception Handling Practices, Multithreading Applications |
| CS-DSC-202 | Database Management Systems | Core | 4 | DBMS Architecture, ER Model and Relational Model, SQL Query Language, Normalization, Transaction Management, Concurrency Control |
| CS-PCC-202 | Database Management Systems Lab | Practical | 1 | SQL Query Practice, Database Design Exercises, ER Diagram Implementation, Normalization Examples, Transaction Operations |
| CS-DSC-203 | Operating Systems | Core | 4 | OS Structures and Services, Process Management, CPU Scheduling Algorithms, Deadlocks, Memory Management, File Systems |
| AEC-201 | Communicative English | Ability Enhancement | 2 | Grammar and Vocabulary, Reading Comprehension, Written Communication Skills, Spoken English and Public Speaking, Listening Practice |
| GE-201 | Generic Elective I (Choose one from options) | Elective | 4 | Topics vary based on chosen elective |
| VAC-201 | Artificial Intelligence, Machine Learning and Ethics | Value Added | 2 | Introduction to AI and ML, Ethical Considerations in AI, Bias and Fairness in AI, Data Privacy and Security, Societal Impact of AI |
Semester 3
| Subject Code | Subject Name | Subject Type | Credits | Key Topics |
|---|---|---|---|---|
| CS-DSC-301 | Computer Networks | Core | 4 | Network Topologies and Layers, OSI and TCP/IP Models, Data Link Layer Protocols, Network Layer Protocols (IP, Routing), Transport Layer (TCP, UDP), Application Layer Services |
| CS-PCC-301 | Computer Networks Lab | Practical | 1 | Network Configuration, Socket Programming, Packet Analysis with Wireshark, Routing Protocol Implementation, Client-Server Communication |
| CS-DSC-302 | Python Programming | Core | 4 | Python Language Fundamentals, Data Structures in Python, Functions, Modules, and Packages, File Handling and Exception Handling, Object-Oriented Programming in Python |
| CS-PCC-302 | Python Programming Lab | Practical | 1 | Python Scripting Practice, Data Structure Implementation, Module and Package Usage, File Operations and Error Handling, Object-Oriented Python Applications |
| CS-DSC-303 | Design and Analysis of Algorithms | Core | 4 | Algorithm Analysis and Complexity, Asymptotic Notations, Divide and Conquer, Greedy Algorithms, Dynamic Programming, Graph Algorithms |
| GE-301 | Generic Elective II (Choose one from options) | Elective | 4 | Topics vary based on chosen elective |
| VAC-301 | Cyber Security | Value Added | 2 | Cybercrime and Cyber Threats, Network Security Basics, Web Security Fundamentals, Cryptography Concepts, Cyber Laws and Ethics |
| PDC-301 | Problem Solving and Critical Thinking | Professional Development | 3 | Problem Solving Methodologies, Critical Thinking Skills, Logical Reasoning, Decision Making Techniques, Creative Thinking |
Semester 4
| Subject Code | Subject Name | Subject Type | Credits | Key Topics |
|---|---|---|---|---|
| CS-DSC-401 | Software Engineering | Core | 4 | Software Development Life Cycle, Requirements Engineering, Software Design Principles, Software Testing Strategies, Software Maintenance, Agile Development Methodologies |
| CS-PCC-401 | Software Engineering Lab | Practical | 1 | Requirement Elicitation Tools, UML Diagramming, Test Case Generation, Version Control Systems, Project Planning Tools |
| CS-DSC-402 | Web Programming | Core | 4 | HTML and CSS, JavaScript and DOM Manipulation, Client-Side Scripting, Server-Side Scripting Basics, Web Frameworks Introduction, Database Integration for Web |
| CS-PCC-402 | Web Programming Lab | Practical | 1 | Responsive Web Design, Interactive JavaScript Applications, Server-Side Development (Node.js/Django), Database Integration for Web Apps, API Development |
| CS-DSC-403 | Artificial Intelligence and Machine Learning | Core | 4 | Introduction to AI Agents, Search Algorithms in AI, Knowledge Representation, Machine Learning Paradigms, Supervised and Unsupervised Learning, Introduction to Neural Networks |
| GE-401 | Generic Elective III (Choose one from options) | Elective | 4 | Topics vary based on chosen elective |
| VAC-401 | Intellectual Property Rights | Value Added | 2 | Introduction to IPR, Patents and Patentability, Copyrights and Related Rights, Trademarks and Industrial Designs, Trade Secrets and Enforcement |
| PDC-401 | Career Planning and Development | Professional Development | 3 | Career Goal Setting, Resume and Cover Letter Writing, Interview Skills, Networking and Personal Branding, Professional Etiquette |
Semester 5
| Subject Code | Subject Name | Subject Type | Credits | Key Topics |
|---|---|---|---|---|
| CS-DSC-501 | Data Science | Core | 4 | Data Collection and Preprocessing, Exploratory Data Analysis, Statistical Methods for Data Science, Data Visualization Techniques, Introduction to Machine Learning Models, Big Data Concepts |
| CS-PCC-501 | Data Science Lab | Practical | 1 | Data Preprocessing with Python/R, Statistical Computing Exercises, Data Visualization Tools, Machine Learning Model Implementation, Big Data Tool Exploration |
| CS-DSE-501 | Discipline Specific Elective I (Choose one from options) | Elective | 4 | Topics vary based on chosen elective |
| CS-DSE-502 | Discipline Specific Elective II (Choose one from options) | Elective | 4 | Topics vary based on chosen elective |
| CS-PCC-502 | Mini Project | Project | 4 | Project Proposal Development, Requirements Analysis, Design and Implementation, Testing and Debugging, Project Report Writing, Presentation Skills |
| VAC-501 | Research Methodology | Value Added | 2 | Introduction to Research Design, Data Collection Methods, Sampling Techniques, Data Analysis Fundamentals, Report Writing and Referencing, Ethical Considerations in Research |
Semester 6
| Subject Code | Subject Name | Subject Type | Credits | Key Topics |
|---|---|---|---|---|
| CS-DSE-601 | Discipline Specific Elective III (Choose one from options) | Elective | 4 | Topics vary based on chosen elective |
| CS-DSE-602 | Discipline Specific Elective IV (Choose one from options) | Elective | 4 | Topics vary based on chosen elective |
| CS-PCC-601 | Internship | Internship | 4 | Industry Exposure, Practical Skill Application, Professional Conduct, Problem Solving in Industry, Internship Report Writing, Presentation of Work |
| CS-PCC-602 | Major Project | Project | 6 | Project Conception and Planning, System Design and Architecture, Development and Implementation, Testing, Debugging and Evaluation, Comprehensive Documentation, Project Presentation and Defense |
| VAC-601 | Financial Literacy | Value Added | 2 | Personal Finance Management, Budgeting and Savings, Investment Fundamentals, Insurance Concepts, Taxation Basics, Digital Financial Transactions |
