About CSM & CSD
Aditya Institute of Technology and Management (AITAM) established the department of Computer Science & Engineering (Artificial Intelligence & Machine Learning) in 2021 with an initial intake of 60 students, enhanced by 60 seats in 2022-23 and the total intake of B. Tech CSE (AIML) program reaches to 120 seats in 2022-23. The prime objective of this programme B. Tech CSE (AIML) is to develop students to excel in Artificial Intelligence and Machine Learning specific areas by exposing them to understand mathematical, statistical, and computational models with engineering and scientific principles to build intelligent machines, software, applications with a cutting-edge combination of machine learning, analytics and visualisation technologies to provide solutions for societal and business problems. There is a lot of demand for professionals. AIML provides applications that have an ability to learn through the experience without being explicitly programmed. ML enables applications to recognize patterns in the data and in the same way as human brains do. The curriculum of this Programme is designed to introduce the students to core skills such as foundations of mathematics and statistics, programming languages, data structures and algorithms, technology frameworks for building machine learning models, neural networks, deep learning architectures and its applications.
Career Opportunities:
Machine Learning Engineer
AI Data Analyst
AI Engineers
Software Engineer
Software Developer - AI/ML/Deep learning
Machine Learning Architect
AIML Engineer with MLOps
Aditya Institute of Technology and Management (AITAM) established the department of Computer Science & Engineering (Data Science) in 2022 with an initial intake of 60 students. The prime objective of this programme B. Tech CSE (Data Science) is to provide the best graduate education to students so that they can meet the growing national and international need for highly qualified personnel in the fields of data science and artificial intelligence. This programme is to develop a broad academic and practical literacy in computer science, statistics, and optimization, with relevance in data science and artificial intelligence, so that students are able to critically select and apply appropriate methods and techniques to extract relevant and important information from data. The course curriculum involves a blend of data inference, algorithm development, and technology to analytically solve complex problems. The programme imparts a confluence of skills in three major areas of mathematical expertise, technical skills, and business strategy. The core of this programme is the ultimate use of enormous data in creative ways to generate business value.
Career Opportunities:
Data Analyst
Business intelligence Developer
Data Architect and Administrator
Software Engineer
Big Data Engineer
Data Scientist
Data Engineer
- Professors : 00
- Associate Professors : 02
- Assistant Professors : 09
- Adjunt Faculty: 00
