Master's of Applied Science in Artificial Intelligence

Master’s of Applied Science in Artificial Intelligence is a two-year postgraduate program focused on designing, deploying, and evaluating AI systems for real-world and sustainable development applications.

Description

The Master’s of Applied Science in Artificial Intelligence at Madan Bhandari University of Science and Technology is designed to produce industry-ready AI scientists and engineers. The program delivers rigorous training in artificial intelligence foundations and application-oriented methods, with strong emphasis on machine learning, data-driven decision-making, and ethical deployment of AI systems. Students work on applied projects aligned with Sustainable Development Goals (SDGs) and gain exposure to AI use cases across agriculture, healthcare, automation, IoT, finance, and social systems. The curriculum bridges the national skills gap in advanced AI expertise while maintaining research depth suitable for academic progression.

Program Aim

• Develop strong foundations in artificial intelligence and machine learning
• Build practical competence in designing and deploying AI applications
• Apply AI to domain-specific challenges relevant to Nepal and global contexts
• Integrate ethical, social, and sustainability considerations in AI systems
• Prepare graduates for industry, research, and doctoral pathways

Learning Outcomes

Graduates will demonstrate the ability to:

• Design, implement, and evaluate AI-driven solutions
• Apply machine learning techniques to complex real-world problems
• Critically review and synthesize scientific literature
• Address ethical and governance issues in AI deployment
• Communicate technical findings at national and international levels
• Operate effectively in multidisciplinary and data-constrained environments

Salient Features

• Comprehensive coverage of AI, ML, NLP, and computer vision
• Hands-on training with state-of-the-art tools and platforms
• Application-driven projects mapped to Sustainable Development Goals
• Critical analysis of ethical and societal impacts of AI
• Exposure to AI applications in agriculture, healthcare, IoT, automation, and social media

Eligibility

• Four-year Bachelor’s degree in science, engineering, technology, or related fields
• Minimum CGPA: 2.75 out of 4.0 or equivalent

Job Prospects

Graduates are prepared for roles including:

• AI Scientist or Machine Learning Engineer
• Data Scientist or AI Analyst
• Research Associate or Industry-Sponsored PhD Candidate
• AI Specialist in banking, healthcare, agriculture, telecom, and automation sectors
• Technology Startup Founder or Product Innovator