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Micro Degree (MD)
Micro Degree (MD)
Specialized credentials earned alongside your bachelor's degree — each Micro Degree focuses intensely on a single, professionally applicable subject to sharpen your expertise and strengthen your career profile.
4 Specialized Tracks
Industry-Aligned Curriculum
Extracurricular Recognition
Career-Ready Skills
What Is a Micro Degree?
Unlike a traditional degree that covers a broad range of topics, a Micro Degree (MD) is an intensive, focused program in a single, professionally applicable subject. By completing specific required courses and extracurricular activities, students earn a recognized credential that demonstrates specialized expertise to future employers.
Traditional Degree
Broad knowledge across a wide field of study
Micro Degree
Deep, industry-focused expertise in one specialty
Outcome
Recognized credential + specialized skills
Choose Your Micro Degree Track
MD 01
CS
Cloud Solution Architecture
4 courses
MD 02
SW
SW+X Full-Stack
5 courses
MD 03
IoT
Smart IoT
4 courses
MD 04
AI
AI Basics
4 courses
CS
MD 01 - Cloud Solution Architecture
Cloud Solution Architecture
Designed for students who want to architect technology solutions for organizations adopting cloud computing. This track equips you with the critical skills needed to implement, manage, and migrate cloud initiatives in real-world environments.
Course Requirements
1
Software Design2
Introduction to Cloud Computing3
Cloud Computing Application4
Advanced Server Programming
What You Will Learn
Cloud architecture using compute, networking, storage, and database services
Design and implementation of end-to-end cloud solution architectures
Deploying and managing workloads with security and compliance controls
Cloud migration strategies and transitioning existing on-premise systems
Extracurricular Activity
Career Outcomes
Cloud Architect Mastery Series
A series of workshops, case studies, and hands-on projects centered on real-world cloud architecture challenges — covering AWS infrastructure, cloud migration strategies, and solution design.
Cloud Architect
Cloud Engineer
DevOps Engineer
Solutions Architect
Infrastructure Engineer
Cloud Consultant
SW
MD 02 - Full-Stack Development
SW+X Full-Stack
The ideal track for those passionate about full-stack application development. Students explore every layer of the software stack — from front-end interfaces to back-end systems — gaining comprehensive expertise in building robust, modern applications.
Course Requirements
1
Mobile Programming2
Advanced Web Programming3
Server Programming4
Advanced Databases5
Software Design
What You Will Learn
Front-end development across web and mobile platforms
Back-end server architecture and RESTful API design
Advanced database engineering and query optimization
Full-stack application design following industry-standard practices
Extracurricular Activity
Career Outcomes
SW+X Fusion Forum
A collaborative platform where students present full-stack projects, participate in hackathons, and connect with industry mentors — focusing on applied development across web, mobile, and cloud environments.
Full-Stack Developer
Front-End Engineer
Back-End Developer
Mobile App Developer
Web Developer
Software Engineer
IoT
MD 03 - Internet of Things
Smart IoT
For students passionate about the Internet of Things, this track provides a comprehensive understanding of IoT-based technologies. Learn to design and develop efficient smart systems by combining hardware fundamentals, AI, and software skills.
Course Requirements
1
Advanced Programming2
Digital Logic Circuit Practice3
Artificial Intelligence4
Operating System
What You Will Learn
IoT system architecture and hardware-software integration
Digital circuit design and embedded systems fundamentals
Applying AI techniques to smart device ecosystems
Operating system management for IoT platforms
Extracurricular Activity
Career Outcomes
Smart IoT Innovators Series
Hands-on IoT project challenges, prototype demonstrations, and guest speaker sessions from IoT industry professionals. Students build real smart devices and present their innovations to peers and evaluators.
IoT Engineer
Embedded Systems Developer
Smart Device Engineer
Hardware-SW Integrator
IoT Solution Architect
AI
MD 04 - Artificial Intelligence
AI Basics
In the era of the 4th Industrial Revolution, AI is at the center of every industry. This track builds a solid foundation in AI principles and practical implementation, empowering students to harness AI with professional-level convergence capabilities.
Course Requirements
1
Introduction to Linear Algebra2
Artificial Intelligence3
Cloud Computing Application4
Advanced Artificial Intelligence
What You Will Learn
Mathematical foundations of AI including linear algebra and core statistics
Fundamental AI and machine learning principles and model training
AI deployment and integration on cloud infrastructure
Advanced AI including deep learning and LLM-based service development
Extracurricular Activity
Career Outcomes
AI Essentials Workshop
Intensive workshops on cutting-edge AI topics, model training sessions, and industry case studies. Students experiment with real AI systems and develop applied AI projects for portfolio presentation.
AI Engineer
Machine Learning Engineer
Data Scientist
AI Application Developer
Research Engineer
Graduate Studies