Semester Credit Courses

Rigorous, multidisciplinary academic credit and certification pathways designed for advanced scholars and tech professionals.

Click any course card to inspect eligibility, credit structure, and detailed syllabus information.

AI & Bio Machine Learning for Biologists

Machine Learning for Biologists

Core predictive modeling, genomic data analytics, and pattern recognition pipelines for biological systems.

4 Credits Details →
Algorithm Biophysics

Biophysics: Algorithm to Application

Molecular dynamics frameworks, structural bioinformatics, and computational physics algorithms.

4 Credits Details →
Artificial Intelligence Deep Learning Systems

Advanced Deep Learning Systems

Neural network architectures, transformer models, and hardware-accelerated deep learning optimization.

3 Credits Details →
Data Science Data Science Foundations

Large-Scale Data Science & MLOps

Distributed data processing, cloud clusters, and end-to-end machine learning operations workflow.

4 Credits Details →
Quantum Tech Quantum Computing

Fundamentals of Quantum Computing

Qubits, quantum logic gates, error correction, and introductory quantum algorithm design principles.

4 Credits Details →
CPS & IoT Cyber-Physical Systems

Cyber-Physical Systems (CPS) Design

Integration of computation, networking, and physical dynamics for smart automated environments.

3 Credits Details →
Quantum Bio Quantum Simulation

Quantum Chemistry & Molecular Simulation

Ab initio quantum chemical calculations, density functional theory, and molecular interaction modeling.

3 Credits Details →
Autonomous Systems Autonomous Systems

IoT & Edge Intelligence in Bio-CPS

Sensor networks, edge computing devices, and real-time data streaming architectures for bio-systems.

4 Credits Details →