B.Tech Computer Science & Engineering with AI/ML
Course Overview
Curriculum Structure
Admission Process
The admission to B.Tech Computer Science program is based on entrance exam scores followed by counseling. Here's the step-by-step process:
Check Eligibility
Candidate must have passed 10+2 examination with Physics, Chemistry, and Mathematics as compulsory subjects with minimum 60% marks.
Appear for Entrance Exam
Appear for BCECE (Bihar Combined Entrance Competitive Examination) or JEE Main. The college accepts scores from both examinations.
Online Application
Fill the online application form on the college website during the application window (typically May-June).
Counseling Process
Shortlisted candidates will be called for counseling based on their entrance exam rank. Document verification and seat allotment happens during counseling.
Fee Payment & Enrollment
Selected candidates need to pay the admission fee and complete the enrollment process to confirm their seat.
Career Opportunities
B.Tech in AI/ML opens doors to high-demand roles like Machine Learning Engineer, Data Scientist, Data Analyst, AI Engineer, and NLP Engineer, with opportunities in tech giants (Infosys, Wipro, Meta) and startups, offering competitive salaries (Entry: 4-8 LPA, Mid: 8-15 LPA, Senior: 10-25 LPA+), focusing on Python, Deep Learning, Cloud, and GenAI, with roles ranging from development to research. Key areas include Computer Vision, NLP, and Generative AI, with strong demand for skills in Python, TensorFlow, PyTorch, and cloud platforms.
Key Job Roles for B.Tech AI/ML Graduates:
Machine Learning Engineer: Builds, deploys, and maintains ML models.
Data Scientist/Analyst: Analyzes data, builds models, and extracts insights.
AI Engineer: Focuses on core AI systems and applications.
Data Engineer: Manages data pipelines and infrastructure.
Research Scientist: Develops new AI/ML algorithms.
Prompt Engineer/AI Specialist: Works with large language models (LLMs) and AI tools.
Top Skills Required:
Programming: Python (essential), R, SQL.
ML Frameworks: TensorFlow, PyTorch, Scikit-learn.
Data Skills: Pandas, NumPy, Big Data Technologies.
Cloud Platforms: AWS, Azure, GCP.
Concepts: Deep Learning, NLP, Computer Vision, Generative AI, Reinforcement Learning.
Top Recruiters
- Infosys
- Wipro
- Accenture
- Amazon
- Microsoft
- IBM