Record No. 007 · Academics
NUST SEECS,
Class of 2030
BS Computer Science at School of Electrical Engineering & Computer Science (SEECS), pursuing a rigorous degree grounded in computing fundamentals, systems, and artificial intelligence.
Foundations
C++ systems programming, object-oriented paradigms, discrete math, data structures.
AI & Systems
Machine learning electives, database systems, computer networks, and operating systems.
Capstone
Final-year project (FYP) and advanced AI/systems specialization.
CS · AI · CE
Bridging core software engineering with modern intelligent systems.
Curriculum
Academic Progression
A structured roadmap of core computing coursework, systems engineering, and technical specializations.
Foundations & Programming
Core programming fundamentals (C++: dynamic memory allocation, pointer mechanics, Rule of Three/Five, operator overloading), discrete structures, and calculus foundations.
Data Structures & Systems
Advanced OOP design (virtual inheritance, design patterns), data structures & algorithms, digital logic design, and computer organization.
AI Specialization & Infrastructure
Machine learning fundamentals, database management systems, operating systems, algorithms analysis, and applied Python AI pipelines.
Capstone & Advanced Systems
Final Year Project (FYP), distributed computing, deep learning/NLP electives, and production deployment engineering.
Tracks
Interlocking Disciplines
The degree plan bridges theoretical computer science with hardware grounding and applied AI.
Artificial Intelligence
Machine learning, natural language processing, neural architectures, and intelligent systems engineering. View full roadmap →
Systems Architecture
Computer organization, operating systems, memory safety, and low-level software design.
Theoretical CS
Data structures, algorithm complexity, discrete mathematics, and computation models.