Atria Institute of Technology Cut-Off

22.Atria Institute of Technology – Cut-Off Trends for Emerging Branches

Introduction
Atria Institute of Technology (AIT), Bengaluru, is gaining popularity for emerging engineering branches such as Artificial Intelligence & Machine Learning (AI & ML) and Data Science & Engineering. Admission to these programs is through KCET for Karnataka students and COMEDK for out-of-state students. Understanding the cut-off trends for these emerging fields is crucial for applicants as these branches are highly sought-after due to their promising career prospects in the tech industry.

KCET Cut-Off Trends for Emerging Branches

• Artificial Intelligence & Machine Learning (AI & ML):
  
  
  
  
  
  • General category ranks: 10,000–32,000
    
    
  
  
  • OBC category ranks: 11,500–36,000
    
    
  
  
  • SC/ST category ranks: 18,000–45,000
    
    
  
  
  • Demand has increased steadily over the last 3–4 years due to AI applications in industry.
    
    
  
  
  
  


• Data Science & Engineering:
  
  
  
  
  
  • General category ranks: 15,000–40,000
    
    
  
  
  • OBC category ranks: 17,000–42,000
    
    
  
  
  • SC/ST category ranks: 22,000–50,000
    
    
  
  
  • Growing interest among students and employers has gradually pushed up cut-off ranks.
    
    
  
  
  
  

COMEDK Cut-Off Trends for Emerging Branches

• AI & ML:
  
  
  
  
  
  • General category ranks: 10,000–38,000
    
    
  
  
  • Reserved category ranks slightly higher based on quota.
    
    
  
  
  
  


• Data Science & Engineering:
  
  
  
  
  
  • General category ranks: 15,000–40,000
    
    
  
  
  • Reserved category ranks follow similar trends, offering better opportunities for students under quotas Atria Institute of Technology.
    
    
  
  
  
  


• Branches with high industry demand have competitive cut-offs even in later counseling rounds.
  
  

Round-Wise Variation in Cut-Offs

• First Round: Lowest closing ranks, with highly competitive seats filled quickly.
  
  


• Second & Third Rounds: Slightly higher closing ranks as seats are vacated or shifted.
  
  


• Final Round: Offers chances for students with moderate ranks, particularly in reserved categories.
  
  

Factors Influencing Emerging Branch Cut-Offs

• Rising industry demand for AI, Data Science, and machine learning professionals.
  
  


• Limited number of seats in emerging branches increases competition.
  
  


• Performance trends in KCET and COMEDK exams.
  
  


• Popularity of AI and Data Science among students pursuing futuristic career paths.
  
  

Strategies for Applicants

• Monitor historical cut-offs for AI & ML and Data Science before counseling.
  
  


• Keep backup branches ready in case rank falls slightly below first-round closing.
  
  


• Utilize reserved category benefits if eligible.
  
  


• Participate in early rounds of counseling for higher chances in top branches.
  
  

Conclusion
Cut-off trends for emerging branches at Atria Institute of Technology reflect high demand and growing interest among students. By analyzing KCET and COMEDK ranks, category-wise trends, and round-wise variations, prospective applicants can strategically plan admissions. Proper understanding of these trends helps students secure seats in AI, Data Science, and other emerging programs while aligning with future career opportunities.