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B-SC-LIBERAL-ARTS-HONS-SSLA in Computer Studies at Symbiosis International University (SIU)
Pune, Maharashtra
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About the Specialization
What is Computer Studies at Symbiosis International University (SIU) Pune?
This Computer Studies program at Symbiosis School for Liberal Arts (SSLA) focuses on providing a strong foundation in computational thinking and practical programming skills within a broad liberal arts context. It integrates core computer science principles with interdisciplinary perspectives, preparing students for the dynamic Indian tech industry which increasingly values adaptable and ethically aware professionals. The program aims to create well-rounded individuals who can innovate responsibly.
Who Should Apply?
This program is ideal for high school graduates with an aptitude for logical reasoning and problem-solving, interested in technology but also valuing a diverse education. It suits aspiring software developers, data analysts, or cyber security enthusiasts seeking to enter the booming Indian IT sector. Professionals looking to reskill in emerging tech domains or career changers from non-technical backgrounds with a keen interest in computing will also find it beneficial.
Why Choose This Course?
Graduates of this program can expect to pursue diverse career paths in India, including software development, data analytics, web design, and IT support, in companies ranging from startups to large MNCs. Entry-level salaries typically range from INR 3-6 lakhs per annum, with significant growth potential up to INR 10-15 lakhs or more with experience. The liberal arts background enhances critical thinking and communication, crucial for leadership roles and professional certifications like AWS or Azure.
Student Success Practices
Foundation Stage
Master Programming Fundamentals Early- (Semester 1-2)
Dedicate extra time to core programming concepts (like Python or C++ taught in early semesters) and data structures. Actively solve coding problems daily to build a strong logical foundation.
Tools & Resources
HackerRank, GeeksforGeeks, CodeChef, freeCodeCamp
Career Connection
Strong programming fundamentals are non-negotiable for all tech roles and crucial for clearing initial technical interviews at Indian IT companies.
Engage in Liberal Arts Electives Critically- (Semester 1-2)
While specializing in Computer Studies, engage deeply with your liberal arts foundational courses. Develop critical thinking, communication, and ethical reasoning skills.
Tools & Resources
University library resources, Academic writing centers, Debate clubs
Career Connection
These ''''soft skills'''' are highly valued by Indian employers for leadership roles and differentiate you in a competitive market, enabling better client interaction and project management.
Build a Basic Project Portfolio- (Semester 1-2)
Start building small, functional projects using the languages and tools learned. This could be a simple calculator, a basic website, or a data analysis script.
Tools & Resources
GitHub, VS Code, Online tutorials
Career Connection
Demonstrating practical application through a portfolio is far more impactful than just good grades when applying for internships or entry-level jobs in India.
Intermediate Stage
Pursue Domain-Specific Internships- (Semester 3-5 (during breaks or part-time))
Seek out internships in your area of interest (e.g., web development, data science, cybersecurity) to gain real-world experience and understand industry workflows. Network with professionals.
Tools & Resources
LinkedIn, Internshala, Naukri.com, College placement cell
Career Connection
Internships are often a direct gateway to full-time employment in Indian companies and provide invaluable practical exposure, improving your resume for placements.
Specialize and Certify- (Semester 4-6)
Identify a specific area within Computer Studies that genuinely interests you (e.g., AI/ML, Cloud, Cybersecurity) and pursue advanced courses, online certifications, or workshops.
Tools & Resources
Coursera, edX, Udemy, AWS/Azure/Google Cloud certifications
Career Connection
Specialized skills and certifications are highly sought after in the Indian tech job market, fetching higher salaries and opening doors to niche roles.
Participate in Coding Competitions & Hackathons- (Semester 3-5)
Actively participate in coding contests and hackathons. This sharpens problem-solving skills, exposes you to real-world challenges, and provides networking opportunities.
Tools & Resources
TopCoder, Kaggle, Major hackathon platforms, College tech clubs
Career Connection
Winning or even participating prominently in such events stands out on resumes and demonstrates practical skill and competitive spirit to Indian recruiters.
Advanced Stage
Build a Capstone Project/Research- (Semester 7-8)
Undertake a significant final year project or a research dissertation in your chosen specialization, demonstrating comprehensive application of learned skills and problem-solving.
Tools & Resources
Faculty mentors, Research papers, Industry collaborators, Advanced software platforms
Career Connection
A strong capstone project or research publication showcases your expertise and becomes a crucial talking point in interviews for advanced roles or higher studies.
Intensive Placement Preparation- (Semester 6-8)
Focus on rigorous preparation for placement drives, including mock interviews (technical, HR), aptitude tests, and resume building. Practice presenting your projects clearly.
Tools & Resources
Placement cell resources, Online aptitude tests, Mock interview platforms, Peer groups
Career Connection
Thorough preparation is vital for securing competitive placements in leading Indian tech companies, ensuring you can articulate your skills and knowledge effectively.
Develop Leadership & Mentorship Skills- (Semester 6-8)
Take on leadership roles in college clubs, mentor junior students, or volunteer for organizing tech events. This builds vital soft skills and expands your network.
Tools & Resources
Student organizations, Departmental events, Alumni network
Career Connection
Leadership experience is highly valued in the Indian corporate landscape, indicating potential for career progression beyond entry-level technical roles and into management.
Program Structure and Curriculum
Eligibility:
- Passed 10+2 (or equivalent) examination from any recognised Board with minimum 50% marks (45% for Scheduled Caste/Scheduled Tribes).
Duration: 4 years / 8 semesters
Credits: 192 Credits
Assessment: Internal: 50%, External: 50%
Semester-wise Curriculum Table
Semester 1
| Subject Code | Subject Name | Subject Type | Credits | Key Topics |
|---|---|---|---|---|
| T6042 | Thinking and Writing Skills | Foundational Course | 2 | Details not publicly available in this document |
| T6107 | Language and Communication Skills | Foundational Course | 2 | Details not publicly available in this document |
| T6108 | Indian Knowledge Systems | Foundational Course | 2 | Details not publicly available in this document |
| T6040 | Introduction to Computer Science | Specialisation Core | 4 | Details not publicly available in this document |
| T6041 | Mathematical Foundations for Computer Science | Specialisation Core | 4 | Details not publicly available in this document |
| T6003 | Introduction to Programming | Specialisation Core | 4 | Details not publicly available in this document |
Semester 2
| Subject Code | Subject Name | Subject Type | Credits | Key Topics |
|---|---|---|---|---|
| T6109 | Art & Aesthetics | Foundational Course | 2 | Details not publicly available in this document |
| T6110 | Digital Literacy | Foundational Course | 2 | Details not publicly available in this document |
| T6111 | Introduction to Environmental Studies | Ability Enhancement Course | 2 | Details not publicly available in this document |
| T6043 | Digital Logic | Specialisation Core | 4 | Details not publicly available in this document |
| T6044 | Data Structures and Algorithms | Specialisation Core | 4 | Details not publicly available in this document |
| T6045 | Data Analysis using Spreadsheets | Skill Enhancement Course | 4 | Details not publicly available in this document |
Semester 3
| Subject Code | Subject Name | Subject Type | Credits | Key Topics |
|---|---|---|---|---|
| T6002 | Constitutional Values & Fundamental Duties | Value Added Course | 2 | Details not publicly available in this document |
| T6112 | Financial Literacy | Foundational Course | 2 | Details not publicly available in this document |
| T6046 | Object-Oriented Programming with C++ | Specialisation Core | 4 | Details not publicly available in this document |
| T6047 | Operating Systems | Specialisation Core | 4 | Details not publicly available in this document |
| T6048 | Database Management Systems | Specialisation Core | 4 | Details not publicly available in this document |
| T6049 | Advanced Programming with Python | Skill Enhancement Course | 4 | Details not publicly available in this document |
Semester 4
| Subject Code | Subject Name | Subject Type | Credits | Key Topics |
|---|---|---|---|---|
| T6001 | Critical Thinking and Logic | Foundational Course | 2 | Details not publicly available in this document |
| T6050 | Computer Networks | Specialisation Core | 4 | Details not publicly available in this document |
| T6051 | Software Engineering | Specialisation Core | 4 | Details not publicly available in this document |
| T6052 | Web Development | Specialisation Core | 4 | Details not publicly available in this document |
| T6053 | Introduction to Data Science | Specialisation Core | 4 | Details not publicly available in this document |
| T6054 | Cyber Security Fundamentals | Skill Enhancement Course | 4 | Details not publicly available in this document |
Semester 5
| Subject Code | Subject Name | Subject Type | Credits | Key Topics |
|---|---|---|---|---|
| T6055 | Artificial Intelligence | Specialisation Core | 4 | Details not publicly available in this document |
| T6056 | Machine Learning | Specialisation Core | 4 | Details not publicly available in this document |
| T6057 | Cloud Computing | Specialisation Elective | 4 | Details not publicly available in this document |
| T6058 | Blockchain Technology | Specialisation Elective | 4 | Details not publicly available in this document |
| T6059 | Mobile Application Development | Specialisation Elective | 4 | Details not publicly available in this document |
| T6060 | Image Processing | Specialisation Elective | 4 | Details not publicly available in this document |
| T6061 | UI/UX Design | Skill Enhancement Course | 4 | Details not publicly available in this document |
Semester 6
| Subject Code | Subject Name | Subject Type | Credits | Key Topics |
|---|---|---|---|---|
| T6062 | Internet of Things (IoT) | Specialisation Core | 4 | Details not publicly available in this document |
| T6063 | Big Data Analytics | Specialisation Core | 4 | Details not publicly available in this document |
| T6064 | Natural Language Processing | Specialisation Elective | 4 | Details not publicly available in this document |
| T6065 | Deep Learning | Specialisation Elective | 4 | Details not publicly available in this document |
| T6066 | Ethical Hacking | Specialisation Elective | 4 | Details not publicly available in this document |
| T6067 | Game Development | Specialisation Elective | 4 | Details not publicly available in this document |
| T6068 | Data Visualization | Skill Enhancement Course | 4 | Details not publicly available in this document |
Semester 7
| Subject Code | Subject Name | Subject Type | Credits | Key Topics |
|---|---|---|---|---|
| T6069 | Applied Project | Core | 10 | Details not publicly available in this document |
| T6070 | Research Methodology | Core (for Research Track) | 6 | Details not publicly available in this document |
| T6071 | Advanced Topics in Computer Science | Specialisation Elective | 4 | Details not publicly available in this document |
| T6072 | Quantum Computing | Specialisation Elective | 4 | Details not publicly available in this document |
Semester 8
| Subject Code | Subject Name | Subject Type | Credits | Key Topics |
|---|---|---|---|---|
| T6073 | Dissertation | Core (for Research Track) | 16 | Details not publicly available in this document |
