Bachelor of Science in Information Technology (B.Sc. IT)
The B.Sc. Information Technology programme at Ramanand Arya D.A.V. College (Autonomous), Mumbai equips students with strong technical knowledge, practical skills, and industry-relevant expertise to thrive in the digital world. Aligned with NEP 2020, the programme fosters innovation, problem-solving, and hands-on learning, preparing graduates for successful careers in the IT industry.
- Build a strong foundation in Information Technology and Computer Science.
- Develop programming, analytical, and problem-solving skills.
- Provide practical exposure to software development, databases, networking, and cybersecurity.
- Encourage innovation, ethical practices, and lifelong learning.
- Prepare students for higher education and successful IT careers.
- NEP 2020 Aligned Curriculum
- Industry-Oriented Learning
- Modern Computer Laboratories
- Project-Based & Practical Training
- Experienced Faculty & Industry Exposure
- Internship & Placement Assistance
- Higher Education & Professional Certification Opportunities
- Software Developer
- Full Stack Web Developer
- Data Analyst
- Cybersecurity Analyst
- Cloud Computing Professional
- Network & Database Administrator
- Mobile App Developer
- AI & Machine Learning Associate
- DevOps Engineer
- IT Consultant or Entrepreneur
The programme also provides an excellent foundation for higher studies such as M.Sc. (IT), MCA, MBA (IT) and globally recognized professional certifications.
Sem I |
| Credits | II | Credits | |
Major | Operating System | 4 | Web Programming | 4 | |
Digital Electronics | 2 | Microprocessor Architecture | 2 | ||
Minor | — | – | Principles of Marketing | 2 | |
OE | Discrete Mathematics | 4 | Numerical Methods | 4 | |
Skill Enhancement Course(SEC) | Imperative Programming (SEC) | 2 | Object Oriented Programming(SEC) | 2 | |
Vocational & Skill Enhancement Courses (VSC) | Introduction to Database Management System(VSC) | 2 | Computer Graphics and Animation(VSC) | 2 | |
Ability Enhancement Courses (AEC) | English: Business Communication-I (AEC) | 2 | Hindi/Marathi (AEC) | 2 | |
VEC | Constitution of India(VEC) | 2 | Green Computing(VEC) | 2 | |
IKS | Indian Knowledge | 2 | — | — | |
Co-Curricular Courses (CC) | Yoga | 2 | Yoga | 2 |
SEM | III | Credits | IV | Credits | ||||
Major | Python Programming | 2 | Embedded System | 2 | ||||
Core Java | 4 | Computer Networks | 2 | |||||
Data Structure | 2 | Advance Python | 2 | |||||
Minor | Brand Management | 4 | Event Management | 4 | ||||
OE | Applied Mathematics | 2 | Computer Oriented Statistical Techniques | 2 | ||||
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Software Engineering | 2 |
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Vocational & Skill Enhancement Courses (VSC) | PL/SQL (VSC) | 2 | – | – | ||||
AEC | Hindi / Marathi: Communication Skill-I(AEC) | 2 | Hindi / Marathi: Communication Skill-II | 2 | ||||
Co-Curricular Courses (CC) | Cultural Studies-I | 2 | Cultural Studies-II | 2 2 | ||||
Community engagement and Service(CEP)/Field Project | Field Project | 2 | Community engagement |
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Indian Knowledge System | — | — | IKS | 2 |
SEM.V | Credits | VI | Credits | |
Major | Advance Web Programming | 4 | Security in computing | 4 |
Enterprise Java(VEC) | 4 | Introduction to Data Science | 4 | |
Software Project Management | 2 | Software Quality Assurance | 2 | |
Elective I | LINUX | 2 | Principles of Geographic Information Systems | 2 |
Elective II | Introduction to Artificial Intelligence | 2 | Android Programming | 2 |
Minor | Marketing Analytics | 4 | Digital Marketing | 4 |
Vocational & Skill Enhancement Courses (VSC) | internet of Things | 2 | — | – |
Field Project / Apprenticeship / On Job Training | Field Project | 2 | OJT | 4 |
Credit |
| 22 |
| 22 |
| Semester- VII | Credit | |
Major (Core) Subjects (Compulsory) |
1 Data Science 2 Cloud Computing 3 Soft Computing |
4 4 4 |
| Elective – I | 4. Image Processing | 2 |
| Elective – II | 5. Artificial Intelligence
| 4 |
| RM | 6. Research Methodology | 4 |
Semester- VIII | Credit | |
Major (Core) Subjects (Compulsory) |
1 Big Data Analytics
2 Modern Networking
3 Microservice Architecture
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4
4
4
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Elective – I | 4. Computer Vision | 2 |
Elective – II | 5. Machine Learning
| 4 |
Internship | 6. Internship | 4 |