B.Tech in Computer Science & Engineering (AI & ML)
Program Overview
The B.Tech in Computer Science & Engineering (Artificial Intelligence & Machine Learning) program at Medhavi Skills University is designed to equip students with cutting-edge technical expertise and industry-relevant skills
With a strong foundation in programming, data structures, artificial intelligence, machine learning, cybersecurity, and cloud computing, the curriculum integrates hands-on learning through real-world projects and on-the-job training via apprenticeships. This program of B.Tech in Computer Science & Engineering (Artificial Intelligence & Machine Learning) emphasizes Industry 4.0 technologies, fostering innovation and problem-solving abilities. Graduates are prepared for diverse career opportunities in software development, data science, IT consulting, and emerging tech fields, ensuring they stay ahead in the digital era.
MSU Advantages
The flexible learning design of this B.Tech in Computer Science & Engineering (Artificial Intelligence & Machine Learning) program also allows personalized education. This makes MSU an ideal choice for future-ready B.Tech professionals.
Program aligned to NEP 2020
Focus on Learning Outcome Based Education
Industry-Aligned Curriculum
70% Curriculum includes Skill Component
Hands-On Learning
Learn from seasoned professionals
Immersive Industry Exposure through industry visits, guest lectures, and networking opportunities
Opportunity to ‘Learn and Earn’
In-house Computer Lab with all required software and Wi-fi connection
This course emphasizes on AI model development, automation, and real-world problem-solving
Engage with industry experts providing invaluable insights and real-world perspectives
Do-Experience-Learn
Experience hands-on learning in our Bachelor of Technology (B.Tech) in Artificial Intelligence & Machine Learning program, where innovation meets application
Eligibility Criteria
10+2 (With Physics, Chemistry & Mathematics)
Academic Framework
A curriculum designed to build core AI and Machine Learning skills, paired with a clear pathway to diverse global careers
Steps to Follow for Application
Program Specific Outcomes
A graduate of B.Tech in Computer Science & Engineering (AI & ML) should be able to:
PSO 1
Graduates will demonstrate proficiency in collecting, preprocessing, analyzing, and interpreting large-scale datasets using advanced statistical techniques, data mining algorithms, and machine learning models to extract actionable insights and knowledge.
PSO 2
Graduates will develop expertise in artificial intelligence techniques, including machine learning, deep learning, reinforcement learning, and natural language processing, enabling them to build intelligent systems that can learn from data, reason over uncertain information, and adapt to changing environments.
PSO 3
Graduates will acquire skills in data engineering, database management, and distributed computing, allowing them to design and implement scalable data infrastructure and systems to store, retrieve, and process large volumes of data efficiently in real-time environments.
PSO 4
Graduates will apply AI techniques and methodologies to solve real-world problems and challenges in diverse domains, including healthcare, finance, autonomous systems, cybersecurity, and smart cities, demonstrating the ability to translate AI research into practical applications and solutions.
PSO 5
Graduates will demonstrate awareness of ethical, legal, and social issues related to AI, including fairness, transparency, accountability, and privacy, and adhere to ethical guidelines and professional standards in the design, development, and deployment of AI systems.
Our Industry Partners
Leading industry partners to provide real world hands-on exposure
Find Quick Answers to Your Concerns