Admissions Open For 2025-26. Apply Now

MALLA REDDY VISHWAVIDYAPEETH

(Deemed to be University)

Hyderabad

Recognised under section 3 of The UGC Act, 1956, vide Notification No.9-4/2024-U.3(A) by
Department of Higher Education, Ministry of Education, Government of India.

B.Sc. CSE (Artificial Intelligence)

This Course Structure is Curated as per the NEP-2020 Guidelines

Course Overview

The B.Sc. Computer Science and Engineering (Artificial Intelligence) is a specialized undergraduate program designed to develop highly skilled professionals in the field of Artificial Intelligence (AI). The program blends foundational computer science with advanced AI domains such as machine learning, deep learning, natural language processing (NLP), computer vision, and robotics.

This program focuses on equipping students with the theoretical knowledge and hands-on skills from 1st semester itself.Students are introduced to core programming and engineering concepts from the first semester, followed by a progressive learning path into AI models, data analysis, automation, and intelligent systems. The curriculum emphasizes practical exposure through hands-on labs, projects, and internships with industry partners.

Graduates are equipped to meet the growing demand for AI specialists across sectors including healthcare, fintech, edtech, e-commerce, cybersecurity, and government. The program also lays a strong foundation for higher studies and research in AI and allied fieldswith 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 with Python, Mathematics for AI, Digital Systems, Communication Skills, Computer Applications Lab

Semester 2

Data Structures, Object-Oriented Programming in Java, Linear Algebra, Introduction to AI, Environmental Science, Lab Work

Semester 3

Database Management Systems, Operating Systems, Probability & Statistics for AI, Machine Learning – I, Mini Project

Semester 4

Deep Learning, Natural Language Processing, Software Engineering, AI Ethics & Governance, Project-Centric Learning

Semester 5

Computer Vision, Reinforcement Learning, Big Data Analytics, Elective-I (e.g., AI in Healthcare), Research Methodology

Semester 6

AI in Robotics, Cloud-based AI Systems, Elective-II (e.g., AI in Finance / Smart Cities), Industry Certification Program

Semester 7

Internship, Capstone Project Phase-I, Seminar, Domain-Specific AI Application Case Studies

Semester 8

Capstone Project Phase-II, AI Startups & Entrepreneurship, Advanced Topics in AI (e.g., Generative AI), Thesis Submission

  • Technical Expertise: Solid grounding in core AI algorithms, neural networks, and intelligent system design.
  • Problem-Solving Capability: Ability to apply AI tools for solving real-world problems in various domains.
  • Research Orientation: Preparedness for academic and industrial research in AI, ML, and data science.
  • AI Ethics Awareness: Understanding of responsible AI practices, data governance, and bias mitigation.
  • Communication and Leadership: Skills to work in multidisciplinary teams and lead AI-driven projects.
  • Innovation & Entrepreneurship: Capabilities to build intelligent products and start AI-centric ventures.
  • Certification in Deep Learning and TensorFlow
  • AI for Healthcare / Finance Industry Training
  • Natural Language Processing Specialization
  • AWS/Google Cloud AI Practitioner Course
  • AI Ethics & Responsible Tech Bootcamp
  • Entrepreneurship in AI and Data Startups
  • M.Sc. in Artificial Intelligence / Machine Learning
  • M.Tech. in Data Science / AI & Robotics
  • MBA in Business Analytics / Tech Management
  • PG Diploma in Cognitive Computing or NLP
  • Ph.D. in AI, ML, or Intelligent Systems

Duration

Roles and Responsibilities

Salary Range

0-3 years

AI/ML Developer, Data Analyst, Junior Researcher

₹5,00,000 – ₹8,00,000 per annum

3-5 years

AI Engineer, NLP Specialist, Computer Vision Developer

₹8,00,000 – ₹12,00,000 per annum

5-10 years

Lead AI Scientist, Data Science Manager, Product Architect (AI)

₹12,00,000 – ₹18,00,000 per annum

10+ years

AI Research Director, CTO – AI Division, AI Strategy Consultant

₹18,00,000+ per annum

Fee Structure Per Academic Year - 2025

Tuition FeeMiscellaneous FeeScholarship     
150000 ₹10000 ₹Above 95% –  150000 ₹Above 91% –  75000 ₹Between 81-90%15000 ₹Between 71-80%7500₹
Tuition FeeMiscellaneous FeeScholarship     
150000 ₹10000 ₹Above 90% –  30000 ₹Between 80-90%15000 ₹Between 70-80%7500 ₹