COURSE CURRICULUM

This program equips you with a strong foundation in computer science, applied mathematics, and computational methods, preparing you to solve complex problems across various fields. You’ll start with core courses like Introduction to Computers and Computer Systems, Data Types and Structures, and Computational Mathematics, alongside advanced calculus and combinatorics. To broaden your expertise, you’ll take three non-math courses from a single subject such as engineering, physics, or biology, integrating interdisciplinary knowledge. The program also requires completion of foundational courses in differential equations, optimization, logic, and object-oriented software development, enhancing your analytical and programming skills. Further specialization comes through advanced electives covering topics like computational linear algebra, chaos and fractals, stochastic simulation, and discrete optimization. You’ll also select from diverse options including numerical methods for finance, neural networks, algorithm design, machine learning, and cryptography, allowing you to tailor your studies to interests in data science, artificial intelligence, or operations research. This comprehensive curriculum combines theory with practical application, supported by courses in mathematical logic, software development, and computational statistics, ensuring you graduate with a versatile skill set. With a focus on rigorous math and computing principles alongside applied electives, this program prepares you for impactful careers in technology, finance, research, and beyond.