M.Tech Electronics & Communication
Course Overview
An M.Tech in Machine Learning with an ECE (Electronics and Communication Engineering) specialization typically integrates core computer science ML topics with hardware, signal processing, and communication systems applications. The curriculum is generally a two-year program divided into four semesters and covers a blend of theory, labs, and research [1].
Curriculum Structure
An M.Tech in Machine Learning with an ECE (Electronics and Communication Engineering) specialization typically integrates core computer science ML topics with hardware, signal processing, and communication systems applications. The curriculum is generally a two-year program divided into four semesters and covers a blend of theory, labs, and research [1].
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
Graduates with an M.Tech in Electronics and Communication Engineering (ECE) who specialize in Machine Learning (ML) have excellent career prospects at the intersection of hardware and advanced algorithms. This unique blend prepares individuals for roles in developing smart systems, optimizing communication networks, and creating sophisticated signal processing solutions [1].
Key Career Paths and Job Roles
An M.Tech in ECE with a specialization in Machine Learning opens doors to a variety of high-demand roles across numerous industries, including technology, telecommunications, automotive, healthcare, and finance [1].
Data Scientist / Machine Learning Engineer: A primary career path involving designing, implementing, and deploying ML models to solve complex problems, analyze large datasets, and extract actionable insights [1].
Embedded Systems Engineer (AI/ML Focus): This role focuses on integrating ML algorithms into resource-constrained hardware and embedded systems, such as IoT devices, autonomous vehicles, and consumer electronics .
Top Recruiters
- Wipro
- Amazon
- Microsoft