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 B.Tech in Machine Learning: Course Details & Career Opportunities

B.Tech in Machine Learning: Course Details & Career Opportunities

Discover B.Tech in Machine Learning eligibility, fees, admission process, curriculum, career options, skills, salary prospects, and future scope at SCOE.

Introduction

A B Tech in Machine Learning can prepare students for careers built around intelligent systems and data. The field combines programming, mathematics, statistics, data analysis, and artificial intelligence. 

This article explains the course structure, eligibility, fees, practical learning, career options, and college selection factors. It also explains how SCOE teaches Artificial Intelligence and Machine Learning through labs, projects, internships, and industry exposure. 

At SCOE, the relevant undergraduate programme is B.E. in Computer Science and Engineering with Artificial Intelligence and Machine Learning. The programme runs for four years across eight semesters.

Key Takeaways

  • SCOE offers CSE with Artificial Intelligence and Machine Learning.
  • The undergraduate programme lasts four years.
  • The programme includes eight semesters.
  • SCOE has an intake of 120 students for CSE AI & ML.
  • Eligibility includes 10+2 with Science and the prescribed marks.
  • Admission includes MH CET or JEE routes, as applicable.
  • Students gain access to dedicated AI and Machine Learning laboratories.
  • Internship and project records are available through the department.
  • Career options include Machine Learning Engineer and Data Scientist.

What Does a B Tech in Machine Learning Cover?

Machine Learning enables computer systems to learn patterns from data. It supports applications such as prediction, classification, automation, and intelligent decision-making.

A strong undergraduate programme should combine computing foundations with AI-focused learning.

The B Tech ML course details at SCOE include theoretical and practical learning in AI and ML. The programme also focuses on data analysis, predictive analysis, databases, and related technologies.

Key learning areas include:

  • Artificial Intelligence
  • Machine Learning
  • Data analysis
  • Big Data
  • Database management
  • Predictive analysis
  • Data mining
  • Network management and security
  • Internet of Things applications
  • Engineering mathematics and computing fundamentals

SCOE also has programme outcomes related to designing AI models and solving complex AI problems.

B Tech in Machine Learning Eligibility at SCOE

The B Tech in Machine Learning eligibility for SCOE requires 10+2 or an equivalent qualification.

The Science stream is mandatory. SCOE eligibility is 50% marks for the open category and 45% for reserved categories. The institute also has MH CET or JEE and three-year diploma routes for admission.

Applicants should verify the latest Maharashtra admission rules before submitting their application.

Important points include:

  • Recognised 10+2 qualification
  • Science stream
  • Required marks as applicable
  • Entrance examination route where required
  • CAP and admission requirements for Maharashtra candidates

However, students should check the current admission notification before applying

B Tech ML course details: Duration and Learning Pattern

The B Tech ml course details at SCOE show a four-year programme. Students complete eight semesters through a semester-based assessment system.

The programme also provides exposure to practical learning.

SCOE includes these dedicated laboratories:

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