M.Tech Computer Science & Engineering
Course Overview
An M.Tech in Computer Science Engineering (CSE) curriculum offers advanced topics like AI/ML, Cloud Computing, Big Data, IoT, Cybersecurity, and Software Engineering, building on core CS fundamentals (Algorithms, OS, Networks, Databases) with a strong practical focus through labs, projects, and a dissertation, preparing students for specialized roles in tech. Key areas include Advanced Data Structures, Algorithms, Computer Architecture, Operating Systems, and specialized electives, alongside research methodology.
Curriculum Structure
An M.Tech in Computer Science Engineering (CSE) curriculum offers advanced topics like AI/ML, Cloud Computing, Big Data, IoT, Cybersecurity, and Software Engineering, building on core CS fundamentals (Algorithms, OS, Networks, Databases) with a strong practical focus through labs, projects, and a dissertation, preparing students for specialized roles in tech. Key areas include Advanced Data Structures, Algorithms, Computer Architecture, Operating Systems, and specialized electives, alongside research methodology.
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
An M.Tech in CSE, particularly with a specialisation in Machine Learning (ML), opens up a wide array of high-demand career paths focused on developing intelligent systems, data analysis, and automation .
Career Paths for M.Tech CSE (Machine Learning Specialisation)
Machine Learning Engineer: Focuses on designing, building, and maintaining ML systems and production pipelines [1]. They work on large-scale model deployment and infrastructure .
Data Scientist: Involves extracting insights from complex data, building predictive models, and informing strategic business decisions . This role requires strong statistical knowledge and data analysis skills.
AI/ML Researcher: Works in R&D labs to develop new algorithms, improve existing models, and push the boundaries of artificial intelligence .
Top Recruiters
- Infosys
- Wipro
- IBM
- Samsung