B.Sc. CSE (Multidisciplinary)
This Course Structure is Curated as per the NEP-2020 Guidelines
Course Overview
The B.Sc. Computer Science and Engineering (Multidisciplinary) at Malla Reddy Vishwavidyapeeth is a forward-looking undergraduate program that integrates core computing principles with interdisciplinary applications across healthcare, finance, smart agriculture, media, cybersecurity, and environmental science. This unique course aims to equip students with strong programming, analytical, and problem-solving skills while also enabling them to apply computing knowledge in diverse, real-world domains.
This program focuses on equipping students with the theoretical knowledge and hands-on skills from 1st semester itself.Beginning from the first semester, students gain exposure to fundamental computer science subjects like algorithms, data structures, and software engineering, while also exploring fields such as AI in healthcare, fintech systems, bioinformatics, smart agriculture, digital forensics, and AR/VR applications.
Graduates of this program will be prepared for higher studies, research, entrepreneurship, or professional roles in technology-driven sectors with a multidisciplinary edgewith plenty of job opportunities globally.
Course Details
Description: 4 Years Degree Program
No. of Seats: 40
No. of Credits: 160 minimum & as specified
10+2 or equivalent with a minimum of 50% aggregate in Physics, Chemistry, and Mathematics from a recognized board (CBSE/ISC/State Board).
Semester | Name of the Subject |
Semester 1 | Programming Fundamentals, Mathematics for Computing, Digital Logic Design, Basics of Multidisciplinary Computing, English & Communication Skills, Computer Lab |
Semester 2 | Data Structures and Algorithms, Operating Systems, Applied Physics for Engineers, Introduction to FinTech & HealthTech, Web Technologies, Lab Work |
Semester 3 | Database Management Systems, Software Engineering, AR/VR Systems, Introduction to Cybersecurity & Forensics, Communication Systems, Mini Project |
Semester 4 | Artificial Intelligence & Machine Learning, Smart Agriculture & IoT, UI/UX Design, Cloud Computing, Environmental Computing, Project-Centric Learning |
Semester 5 | Data Science & Big Data Analytics, Blockchain & Digital Transactions, Bioinformatics, Human-Computer Interaction, Elective-I (e.g., AI in Public Health), Research Methodology |
Semester 6 | Cyber Laws & Digital Ethics, Application Development Lab, Entrepreneurship in Tech Domains, Elective-II (e.g., Geospatial Data Science), Industry Certification Module |
Semester 7 | Internship/Industry Project, Interdisciplinary Capstone Project-I, Elective-III, Seminar |
Semester 8 | Capstone Project-II, Advanced Topics in Multidisciplinary Computing, Start-up Incubation Lab, Thesis Submission |
- Multidisciplinary Competence: Ability to integrate computing skills in diverse sectors such as healthcare, agriculture, finance, and public systems.
- Technical Proficiency: Strong foundation in algorithms, software engineering, data analytics, and system design.
- Problem-Solving & Research Aptitude: Capable of identifying interdisciplinary challenges and designing innovative digital solutions.
- Entrepreneurial Thinking: Exposure to innovation and product development in emerging tech sectors.
- Professional Communication: Effective collaboration, documentation, and communication in team-based environments.
- Ethical & Legal Awareness: Understanding of data privacy, cybersecurity laws, and ethical tech practices.
- Certification in AI for Healthcare
- Industry 4.0 and IoT Professional Training
- Blockchain Developer Certification
- Cybersecurity & Ethical Hacking Program
- AgriTech& Precision Farming Tools Workshop
- Startup Bootcamp for Tech Entrepreneurs
- M.Sc. in Data Science / Computer Science / AI
- M.Tech. in Multidisciplinary Engineering
- MBA in Technology Management
- M.Sc. in Computational Biology / Bioinformatics
- Ph.D. in Interdisciplinary Computing or Applied AI
Duration | Roles and Responsibilities | Salary Range |
0-3 years | Software Developer, Application Support Engineer, Tech Analyst in HealthTech/AgriTech | ₹4,00,000 – ₹6,50,000 per annum |
3-5 years | Full-Stack Developer, AI/ML Engineer, Cybersecurity Analyst, Domain-Specific Technologist | ₹6,50,000 – ₹9,00,000 per annum |
5-10 years | Technical Architect, Product Manager, Innovation Lead (Domain-Specific) | ₹9,00,000 – ₹14,00,000 per annum |
10+ years | CTO, Director of Technology Solutions, Multidisciplinary Tech Consultant | ₹14,00,000+ per annum |
Fee Structure Per Academic Year - 2025
| Tuition Fee | Miscellaneous Fee | Scholarship | |||
| 150000 ₹ | 10000 ₹ | Above 95% – 150000 ₹ | Above 91% – 75000 ₹ | Between 81-90% – 15000 ₹ | Between 71-80% – 7500₹ |
| Tuition Fee | Miscellaneous Fee | Scholarship | ||
| 150000 ₹ | 10000 ₹ | Above 90% – 30000 ₹ | Between 80-90% – 15000 ₹ | Between 70-80% – 7500 ₹ |
