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BCA-HONS-HONS-WITH-RESEARCH in General at Symbiosis International University
Pune, Maharashtra
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About the Specialization
What is General at Symbiosis International University Pune?
This BCA Hons/Hons with Research program at Symbiosis International University (SICSR) focuses on building a strong foundation in computer applications and information technology. It integrates advanced concepts in areas like AI, ML, Cloud Computing, and Data Science, catering to the evolving demands of the Indian IT industry. The ''''with Research'''' option offers an extended focus on research methodology and dissertation, fostering innovation and analytical capabilities.
Who Should Apply?
This program is ideal for 10+2 graduates with a keen interest in computer science and a strong aptitude for problem-solving, particularly those with a background in Mathematics/Statistics. It suits fresh graduates seeking entry into the booming Indian IT and tech services sectors, as well as aspiring researchers looking to delve deeper into computational theories and applications. It prepares students for diverse roles in software development, data analysis, and emerging technologies.
Why Choose This Course?
Graduates of this program can expect to pursue dynamic career paths in India as Software Developers, Data Analysts, Cloud Engineers, AI/ML Engineers, Web Developers, and IT Consultants. Entry-level salaries typically range from INR 3.5-7 LPA, with significant growth trajectories for experienced professionals reaching INR 10-25+ LPA. The research component aids those aspiring for higher studies (MCA, M.Sc. or Ph.D.) and roles in R&D within leading Indian companies and MNCs.
Student Success Practices
Foundation Stage
Master Programming Fundamentals & Logic- (Semester 1-2)
Dedicate consistent time to practice programming in C and Java, focusing on logical thinking and algorithm development. Solve daily coding challenges and understand data structures from the ground up to build a strong problem-solving base.
Tools & Resources
HackerRank, GeeksforGeeks, LeetCode (easy problems), Local IDEs (Code::Blocks, Eclipse), NPTEL courses on Algorithms
Career Connection
A solid grasp of fundamentals is crucial for cracking technical interviews and building efficient software, directly impacting entry-level developer roles and higher studies.
Build a Strong Academic Network- (Semester 1-2)
Actively participate in class discussions, form study groups with peers, and engage with faculty during office hours. Leverage senior students for guidance on coursework, projects, and career advice. Attend introductory workshops by student clubs.
Tools & Resources
Departmental seminars, Student clubs (Coding, Quiz), Campus events
Career Connection
Networking helps in collaborative learning, unearths opportunities, and builds soft skills essential for teamwork in the professional world. Strong recommendations from faculty are invaluable.
Explore Beyond Curriculum Basics- (Semester 1-2)
Supplement classroom learning with online courses on foundational computer science topics like discrete mathematics, operating system concepts, and basic web technologies. Understand theoretical underpinnings for better practical application.
Tools & Resources
Coursera (free audit options), edX, YouTube channels (MyCodeSchool, freeCodeCamp), Khan Academy
Career Connection
A broader knowledge base helps in understanding complex systems later, preparing students for diverse technical roles and adapting to new technologies faster.
Intermediate Stage
Engage in Practical Project Development- (Semester 3-5)
Start building small-scale projects using learned technologies (Web Dev, Python, Java). Focus on full-stack development even for basic applications. Utilize version control systems for collaborative coding and showcase projects on platforms like GitHub.
Tools & Resources
GitHub, GitLab, VS Code, Stack Overflow, Open-source project participation
Career Connection
Practical projects demonstrate application skills to potential employers, build a portfolio, and enhance problem-solving, which are key for internships and placements in product-based companies.
Gain Industry Exposure & Certifications- (Semester 3-5)
Seek opportunities for mini-internships or workshops, especially during semester breaks. Pursue certifications in in-demand areas like Cloud Foundations (AWS/Azure), Data Science basics, or Cyber Security essentials, aligning with emerging Indian tech trends.
Tools & Resources
NASSCOM FutureSkills Prime, AWS Educate/Academy, Microsoft Learn, LinkedIn Learning, Local industry meetups
Career Connection
Industry exposure clarifies career goals, and certifications make resumes stand out, significantly boosting chances for internships and campus placements in specialized roles.
Participate in Coding Competitions & Hackathons- (Semester 3-5)
Regularly participate in coding challenges, hackathons, and technical contests. This sharpens problem-solving under pressure, fosters innovation, and builds teamwork. Success in these events can also lead to direct recruitment opportunities with top tech firms.
Tools & Resources
CodeChef, HackerEarth, Google Code Jam, College-level hackathons
Career Connection
Such participation builds a competitive profile, improves algorithmic thinking, and offers practical experience in rapid prototyping, highly valued by tech recruiters in India.
Advanced Stage
Intensive Placement Preparation & Mock Interviews- (Semester 6-8)
Focus on company-specific preparation for placements, including aptitude tests, technical rounds (DSA, OOPs, DBMS, OS), and HR interviews. Participate in mock interviews with peers, seniors, and career counselors to refine responses and presentation.
Tools & Resources
IndiaBix, GeeksforGeeks placement section, InterviewBit, LinkedIn for company insights, College placement cell
Career Connection
Thorough preparation directly translates to successful campus placements, securing desirable job offers with competitive salaries in India''''s top IT firms and startups.
Undertake a Significant Capstone/Research Project- (Semester 6-8)
For BCA Hons students, dedicate time to a comprehensive capstone project. For BCA Hons with Research, engage deeply in the dissertation, focusing on original contribution and advanced research methodologies. Aim for a publication or a deployable solution.
Tools & Resources
Jupyter Notebooks, Google Colab, Latex for thesis writing, Research journals (IEEE, ACM), Mentorship from faculty
Career Connection
A strong project/dissertation showcases expertise, problem-solving prowess, and research capabilities, critical for advanced roles, R&D positions, and admission to prestigious postgraduate programs.
Develop Professional Communication & Leadership- (Semester 6-8)
Refine communication, presentation, and teamwork skills through active participation in academic events, seminars, and group projects. Take on leadership roles in student organizations or project teams. Focus on written and verbal clarity for corporate communication.
Tools & Resources
Toastmasters International (if available), Business communication workshops, Professional writing guides, Leadership development programs
Career Connection
Beyond technical skills, strong soft skills are paramount for career progression, effective team collaboration, and assuming leadership roles in the Indian IT industry.
Program Structure and Curriculum
Eligibility:
- Passed 10+2 (H.S.C.) or equivalent examination from any recognized Board with minimum 50% marks (45% for Scheduled Caste/Scheduled Tribes). Mathematics / Business Mathematics / Statistics is a mandatory subject at 10+2 or equivalent examination. Valid Symbiosis Entrance Test (SET) score.
Duration: 4 years / 8 semesters (BCA Hons with Research) or 3 years / 6 semesters (BCA Hons exit option)
Credits: 180 (BCA Hons with Research) / 140 (BCA Hons) Credits
Assessment: Internal: 50%, External: 50%
Semester-wise Curriculum Table
Semester 1
| Subject Code | Subject Name | Subject Type | Credits | Key Topics |
|---|---|---|---|---|
| T4714 | English Communication | Ability Enhancement Compulsory Course (AECC) | 2 | Language proficiency, Grammar and Vocabulary, Reading comprehension, Writing skills, Presentation techniques, Group discussion strategies |
| T4715 | Environmental Studies | Ability Enhancement Compulsory Course (AECC) | 2 | Natural resources and conservation, Ecosystems and biodiversity, Environmental pollution and control, Climate change and global issues, Sustainable development, Environmental ethics |
| T4701 | Fundamentals of Logic | Core | 4 | Propositional logic, Predicate logic, Proof techniques, Set theory and operations, Relations and functions, Counting and combinatorics |
| T4702 | Introduction to Programming using C | Core | 4 | C language fundamentals, Data types, operators, expressions, Control flow statements, Functions and modular programming, Arrays and strings, Pointers and dynamic memory allocation |
| T4703 | Database Management Systems | Core | 4 | Database concepts and architecture, ER modeling, Relational model and algebra, SQL queries, Normalization and dependencies, Transaction management |
| P4701 | Lab - Programming in C | Lab | 2 | Hands-on C programming exercises, Debugging and error handling, Algorithm implementation in C, Problem-solving using C constructs, File I/O operations |
| P4702 | Lab - DBMS (SQL & PL/SQL) | Lab | 2 | SQL DDL, DML, DCL commands, Advanced SQL queries, PL/SQL programming blocks, Stored procedures and functions, Triggers and cursors |
Semester 2
| Subject Code | Subject Name | Subject Type | Credits | Key Topics |
|---|---|---|---|---|
| T4704 | Object Oriented Programming with Java | Core | 4 | OOP principles (encapsulation, inheritance, polymorphism), Classes, objects, and methods, Exception handling, Multithreading, GUI programming with Java Swing/JavaFX, Collections framework |
| T4705 | Data Structures and Algorithms | Core | 4 | Arrays, linked lists, stacks, queues, Trees (binary, BST, AVL), Graphs and traversal algorithms, Sorting and searching algorithms, Algorithm analysis (time and space complexity), Hashing |
| T4706 | Computer Networks | Core | 4 | Network topologies and categories, OSI and TCP/IP models, Network devices (routers, switches), IP addressing and subnetting, Transport layer protocols (TCP, UDP), Application layer protocols (HTTP, FTP, DNS) |
| T4707 | Operating Systems | Core | 4 | Operating system functions and structure, Process management and scheduling, Memory management (paging, segmentation), File systems and I/O management, Deadlocks, Concurrency and synchronization |
| S4701 | Open Source Software | Skill Enhancement Course (SEC) | 2 | Introduction to open source philosophy, Linux commands and shell scripting, Version control with Git, Open source development tools, Open source licenses, Contribution to open source projects |
| P4703 | Lab - Object Oriented Programming with Java | Lab | 2 | Java programming for OOP concepts, Developing applets and GUI applications, Database connectivity with JDBC, Networking programming in Java, Deployment of Java applications |
| P4704 | Lab - Data Structures | Lab | 2 | Implementation of linear data structures, Implementation of non-linear data structures, Practical application of sorting algorithms, Practical application of searching algorithms, Algorithm efficiency analysis |
Semester 3
| Subject Code | Subject Name | Subject Type | Credits | Key Topics |
|---|---|---|---|---|
| T4708 | Web Technology | Core | 4 | HTML5 and semantic web, CSS3 for styling and responsive design, JavaScript fundamentals and DOM manipulation, Introduction to web servers (Apache, Nginx), Client-server architecture, AJAX and asynchronous programming |
| T4709 | Computer Organization and Architecture | Core | 4 | Digital logic circuits (gates, flip-flops), Combinational and sequential circuits, CPU organization and instruction sets, Memory hierarchy (cache, main memory), Input/Output organization, Pipelining and parallel processing |
| T4710 | Software Engineering | Core | 4 | Software development life cycle (SDLC), Requirements engineering, Software design principles, Software testing methodologies, Software project management, Agile and DevOps practices |
| T4711 | Python Programming | Core | 4 | Python syntax and data types, Control flow and functions, Data structures (lists, tuples, dictionaries), File handling, Object-oriented programming in Python, Introduction to libraries (NumPy, Pandas) |
| S4702 | Cyber Security Essentials | Skill Enhancement Course (SEC) | 2 | Fundamentals of cyber security, Common cyber threats and attacks, Network security principles, Data encryption basics, Web security vulnerabilities, Cyber laws and ethics |
| P4705 | Lab - Web Technology | Lab | 2 | Building static and dynamic web pages, CSS frameworks (Bootstrap), Interactive forms with JavaScript, Introduction to jQuery, Deployment of basic web applications |
| P4706 | Lab - Python Programming | Lab | 2 | Python scripting for automation, Data manipulation using Pandas, Data visualization with Matplotlib, Web scraping basics, Mini-projects using Python libraries |
Semester 4
| Subject Code | Subject Name | Subject Type | Credits | Key Topics |
|---|---|---|---|---|
| T4712 | Research Methodology | Core | 4 | Fundamentals of research, Research design and types, Data collection methods, Sampling techniques, Data analysis and interpretation, Research report writing |
| T4713 | Statistical Techniques for Data Analytics | Core | 4 | Probability distributions, Hypothesis testing, Regression and correlation analysis, ANOVA, Time series analysis, Statistical software (R/Python) |
| T4716 | Introduction to IoT | Core | 4 | IoT architecture and ecosystem, Sensors, actuators, and microcontrollers, IoT communication protocols (MQTT, CoAP), Data analytics in IoT, Cloud platforms for IoT, IoT security and privacy |
| T4717 | Artificial Intelligence & Machine Learning | Core | 4 | Introduction to AI and its applications, Problem-solving agents (search algorithms), Knowledge representation and reasoning, Supervised learning (regression, classification), Unsupervised learning (clustering), Neural networks basics |
| S4703 | Introduction to UI/UX Design | Skill Enhancement Course (SEC) | 2 | User-centered design principles, User research and persona creation, Information architecture, Wireframing and prototyping, Usability testing, Design tools (Figma, Adobe XD) |
| P4707 | Lab - Statistical Techniques for Data Analytics | Lab | 2 | Data analysis using R/Python, Implementing statistical tests, Data visualization for insights, Predictive modeling exercises, Interpreting statistical outputs |
| P4708 | Lab - Artificial Intelligence & Machine Learning | Lab | 2 | Implementing AI search algorithms, Building classification models, Building regression models, Using ML libraries (Scikit-learn), Data preprocessing for ML |
Semester 5
| Subject Code | Subject Name | Subject Type | Credits | Key Topics |
|---|---|---|---|---|
| T4718 | Cloud Computing | Core | 4 | Cloud service models (IaaS, PaaS, SaaS), Cloud deployment models, Virtualization technologies, Cloud security and compliance, Major cloud providers (AWS, Azure, GCP), Serverless computing |
| T4719 | Mobile Application Development | Core | 4 | Introduction to Android/iOS development, UI/UX design for mobile, Data storage on mobile devices, API integration, Push notifications and location services, App deployment process |
| G4701 | Generic Elective I | Generic Elective (GE) | 4 | |
| G4702 | Generic Elective II | Generic Elective (GE) | 4 | |
| P4709 | Lab - Cloud Computing | Lab | 2 | Deploying virtual machines on cloud, Managing cloud storage services, Configuring networking in cloud, Using serverless functions, Implementing basic cloud security features |
| P4710 | Lab - Mobile Application Development | Lab | 2 | Developing Android/iOS applications, Designing responsive mobile layouts, Implementing data persistence, Integrating third-party APIs, Testing and debugging mobile apps |
Semester 6
| Subject Code | Subject Name | Subject Type | Credits | Key Topics |
|---|---|---|---|---|
| T4720 | Data Science & Big Data Analytics | Core | 4 | Introduction to Big Data concepts, Hadoop and Spark ecosystems, Data warehousing and data mining, Predictive analytics and modeling, Data governance and ethics, Real-time data processing |
| T4721 | Advanced Web Development Frameworks | Core | 4 | Frontend frameworks (React, Angular, Vue), Backend frameworks (Node.js, Django, Spring Boot), RESTful API design and development, Microservices architecture, Authentication and authorization, Deployment and scalability |
| G4703 | Generic Elective III | Generic Elective (GE) | 4 | |
| G4704 | Generic Elective IV | Generic Elective (GE) | 4 | |
| P4711 | Lab - Data Science & Big Data Analytics | Lab | 2 | Working with Big Data tools (HDFS, MapReduce), Implementing data pipelines, Applying machine learning on large datasets, Building data dashboards, Performing sentiment analysis |
| P4712 | Lab - Advanced Web Development Frameworks | Lab | 2 | Developing full-stack applications, Building and consuming REST APIs, Implementing user authentication, Working with databases in frameworks, Containerization (Docker) basics |
| T4726 | Industry Internship / Project | Project | 16 | Real-world problem solving, Software development lifecycle in industry, Team collaboration, Project documentation, Presentation of outcomes, Professional skill development |
Semester 7
| Subject Code | Subject Name | Subject Type | Credits | Key Topics |
|---|---|---|---|---|
| R4701 | Research Paper Writing | Research | 4 | Formulating research questions, Literature review and synthesis, Structuring a research paper, Academic writing standards, Referencing and citation styles, Ethics in research publication |
| R4702 | Advanced Research Methods in Computer Applications | Research | 4 | Quantitative and qualitative research designs, Advanced statistical analysis for research, Experimental design and quasi-experiments, Data collection tools and techniques, Validation and reliability of research, Research software tools |
| T4722 | Advanced Concepts in Computer Science | Core/Research Elective | 4 | Advanced algorithms and complexity, Parallel and distributed computing, Quantum computing basics, Emerging trends in AI/ML, Blockchain technology, Advanced database systems |
| P4713 | Research Project (Part I) | Research | 8 | Identification of research problem, In-depth literature survey, Designing methodology and experimental setup, Initial implementation and data collection, Writing interim project report, Presentation of progress |
Semester 8
| Subject Code | Subject Name | Subject Type | Credits | Key Topics |
|---|---|---|---|---|
| R4703 | Dissertation/Thesis | Research | 16 | Comprehensive research execution, Advanced data analysis and interpretation, Developing novel solutions, Writing a full-length dissertation/thesis, Oral defense and viva-voce, Contribution to knowledge |
| V4701 | Value Added Course / Internship | Value Added Course (VAC) | 4 | Professional skill enhancement, Industry best practices exposure, Soft skills and workplace etiquette, Specialized technical training, Report writing on internship/course, Networking and career development |
