The Artificial Intelligence (AI) and Machine Learning (ML) branch of Computer Science (CS) deals with the following
Mathematics: Computational mathematics and statistics form the foundation of AI and ML.
Computer Science: Core areas of computer science like programming, data structures, and algorithms are crucial for AI and ML.
Artificial Intelligence: AI deals with developing intelligent systems that can perform tasks without explicit programming.
Machine Learning: ML is a subset of AI that involves training systems to learn from data and improve their performance over time.
Specializations: Some of the specializations in AI and ML include:
AI in Healthcare
Computer Vision
Internet of Things (IoT)
Natural Language Processing (NLP)
Cyber Security
Business Management
The career prospects in AI and ML are vast, with roles like
Big Data Engineer
Business Intelligence Developer
Data Scientist
Machine Learning Engineer
Research Scientist
AI Data Analyst
AI Engineer
Robotics Scientist
#
Duration
Course
Seats
1
4 Years
B.Tech(COMPUTER SCIENCE AI & ML)
30
Our Mission :
The mission of the Computer Science (CS) - Artificial Intelligence (AI) and Machine Learning (ML) branch is to:
Advance the state-of-the-art in AI and ML through research and innovation.
Develop intelligent systems that can benefit society and humanity.
Improve the efficiency, effectiveness, and decision-making capabilities of various industries and domains.
Enhance the quality of life through AI-powered solutions.
Foster collaboration and knowledge sharing among academia, industry, and government.
Educate and train the next generation of AI and ML professionals.
Address ethical and societal implications of AI and ML.
Develop AI and ML solutions that are transparent, explainable, and fair.
Advance the field of AI and ML through publications, conferences, and workshops.
Apply AI and ML to solve complex problems in areas like healthcare, education, energy, and environment.
Faculty :
The faculty in the Computer Science (CS) - Artificial Intelligence (AI) and Machine Learning (ML) department includes:
Engineering knowledge experts to apply mathematical, scientific, engineering fundamentals, and an engineering specialization to complex engineering problems.
Problem analysis experts to identify, formulate, review research literature, and analyze complex engineering problems.
Design and development experts to design solutions for complex engineering problems and design system components or processes.
Investigation experts to use research-based knowledge and research methods to provide valid conclusions.
Modern tool usage experts to create, select, and apply appropriate techniques, resources, and modern engineering and IT tools.
Societal experts to assess societal, health, safety, legal, and cultural issues.
Environmental experts to understand sustainability and the impact of professional engineering solutions.
Ethics experts to apply ethical principles and commit to professional ethics and responsibilities.
Individual and team work experts to function effectively in diverse teams and multidisciplinary settings.
Communication experts to communicate complex engineering activities with the engineering community and society at large.
Project management and finance experts to manage projects and demonstrate knowledge and understanding of engineering and management principles.
Life-long learning experts to engage in independent and life-long learning.
