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Master of Technology (Artificial Intelligence) (MTech AI)

Overview

MTech AI is a 2‑year (4 semesters) postgraduate program focused on advanced artificial intelligence, machine learning, and data science. It is designed to give students deep knowledge of intelligent systems and AI technologies that are applicable to real‑world business, security, engineering, and analytics problems. The curriculum includes areas such as neural networks, fuzzy systems, machine learning, evolutionary computation, and big data analytics.

  • Course Info

    Affilation Kathmandu University (KU)
    Duration 2 Years
    Institute Type College
    Average Fees Incurred Around NPR 3.9 – 4.0 Lakhs for the entire 2‑year program (approximate).
    Average Salary Offered Starting: Approximately NPR 70,000 – 1,50,000 per month (varies by job profile, experience, and company) — typical range for advanced AI roles in Nepal and internationally.
    Employment Roles
    • AI Specialist / Engineer
    • Machine Learning Engineer
    • Data Scientist
    • Computer Vision Engineer
    • Natural Language Processing (NLP) Engineer
    • Big Data Analyst
    • AI Researcher
    • AI Consultant
    • R&D Engineer in AI projects

    These roles are available in IT companies, AI startups, research labs, multinational corporations, and data-driven industries.

  • Admission Criteria

    • Admission is open to both Nepalese and international students.
    • Selection typically involves a written admission test and interview.
    • Candidates who pass both are selected based on a merit list.

  • Salient Features

    • Focused on AI technologies and intelligent computing
    • Combines theory, practical labs, and projects
    • Includes machine learning, data analytics, neural networks
    • Research‑oriented with opportunities for innovation
    • Prepares students for advanced roles in AI and related fields

  • Eligibility

    A Bachelor’s degree with at least 50% marks or CGPA 2.0/4.0 from a recognized institution.

    Completed Engineering/Technology/Architecture, Computer Application (with honors), or any science background with at least 16 years of education, or a Master’s in relevant science fields such as Physics, Mathematics, Statistics, etc.

  • Job Prospectus

    Graduates of MTech AI can work as:

    • AI Specialist / Engineer
    • Machine Learning Engineer
    • Data Scientist
    • Computer Vision Engineer
    • Natural Language Processing (NLP) Engineer
    • AI Researcher
    • Big Data Analyst
    • AI Consultant

  • Curricular Structure

    Core Subjects:

    • Artificial Intelligence
    • Machine Learning
    • Deep Learning
    • Data Analytics
    • Computational Intelligence
    • Intelligent Systems

    Electives / Applications:

    • Computer Vision
    • NLP (Natural Language Processing)
    • Big Data Analytics
    • IoT & Smart Systems
    • Recommendation Systems

    Mathematical Foundations:

    • Statistics & Probability
    • Optimization Techniques
    • Fuzzy Systems

    Other Components:

    • Seminars & Case Studies
    • Thesis / Final Research Project (major credit)

    This program blends theory, practical labs, and research to prepare students for advanced AI roles.

     
     

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