Yeshwantrao Chavan College of Engineering Nagar Yuwak Shikshan Sanstha Nagpur Answered Questions

The admission criteria for BTech CSE (AI & ML) at YCCE for reserved category students is that the candidate should be an Indian National, have passed HSC or its equivalent examination with Physics & Mathematics as compulsory subjects along with one of the Chemistry or Biotechnology or Biology or Technical Vocational subjects or Computer Science or Information Technology or Informatics Practices or Agriculture or Engineering Graphics or Business Studies, & obtained at least 40% marks.

Yes, you can get admission to BTech CSE (AI & ML) at YCCE with 60% in Class 12. The eligibility criteria for the course require a minimum of 45% marks in HSC or its equivalent examination with Physics & Mathematics as compulsory subjects. Since your percentage is above the minimum required, you are eligible for admission. However, please note that the admission process may also consider other factors such as entrance exam scores, counseling, & seat availability.

BTech CSE (AI & ML) graduates from YCCE can work in various jobs such as:
Software Developer
Data Scientist
Machine Learning Engineer
Artificial Intelligence Engineer
Computer Vision Engineer
Natural Language Processing Engineer
Business Intelligence Developer
Predictive Analytics Specialist
Robotics Engineer
Automation Specialist
They can work in industries such as:
IT & software development
Data analytics & science
AI & ML
Computer vision & robotics
Natural language processing & speech recognition
Business intelligence & predictive analytics
Automation & robotics
Some of the top companies that recruit YCCE graduates include:
TCS
Infosys
Wipro
HCL
Accenture
IBM
Microsoft
Google
Amazon
The average salary package for YCCE graduates can range from 3-10 lakhs per annum, depending on the company & the role.

The YCCE offers admission to the BTech CSE (AI & ML) course based on the candidate's performance in the HSC or its equivalent examination with Physics & Mathematics as compulsory subjects along with one of the Chemistry or Biotechnology or Biology or Technical Vocational subjects or Computer Science or Information Technology or Informatics Practices or Agriculture or Engineering Graphics or Business Studies, & obtained at least 45% marks (at least 40% marks, in case of Backward class categories, Economically Weaker Section & Persons with Disability candidates).

Admission to B.Tech. in Artificial Intelligence and Data Science at YCCE is based on the percentile score secured by the candidate in MHT-CET 2025 conducted by the State Common Entrance Test Cell, Government of Maharashtra or JEE (Main) 2025 percentile score.

B.Tech in Artificial Intelligence and Data Science at YCCE is chosen for its cross-disciplinary skills, career opportunities, and comprehensive process for analyzing data. The program equips students with statistical, mathematical reasoning, machine learning, knowledge discovery, and visualization skills. It has applications in various fields like healthcare, business, and social networking companies. The course includes topics like design and analysis of algorithms, computer programming languages, software design, and computer hardware. Upon completion, students gain skills to perform intelligent data analysis and have career opportunities in data science and AI.

Yes, YCCE provides placements for B.Tech. in Computer Science and Engineering (Artificial Intelligence and Machine Learning). The Training and Placement Cell of YCCE works to provide placement opportunities to students, and the college has a strong industry-institute interaction with over 125 MoUs with premier government organizations, corporates, and core industries. The college also provides campus recruitment training and semester-long internships for students.

B.Tech. in Artificial Intelligence and Data Science at YCCE covers topics such as statistics, computer science, machine learning, and logic. The program focuses on equipping students with skills in statistical, mathematical reasoning, machine learning, knowledge discovery, and visualization. The course aims to provide core technologies like artificial intelligence, data mining, and data modeling, as well as intensive inputs in machine learning and big data analytics. Career opportunities after completing this course include roles in healthcare, business, e-commerce, social networking companies, climatology, biotechnology, genetics, and other important areas.