Our Programs

Computer Science & Full-Stack Web Development

Program Objective:

In this program, students will learn advanced skills in frontend and backend development, mastering frameworks that are in high demand throughout the industry. Students will learn to create, maintain, and improve web applications and websites, some of which are used every day. By following this concentration, students will be well-versed in ReactJS, SASS, responsive design, Accessibility, NodeJS, NoSQL, MySQL advanced, Redis, unit and integration tests, personal data, authentication, and more.

Graduates in this program can reasonably expect to get jobs as: Full-stack Web Developer, Frontend Developer, React Developer, NodeJS Developer, Python Developer, Javascript Developer, Backend Developer, UI/UX Developer and Q/A Developer.

Computer Science & Linux, Advanced Algorithms and Blockchain

Program Objective:

In this program students will approach problems and situations using the C programming language and the Linux kernel interface. Throughout this program, students will expand their knowledge and application of the C programming language and dig into operating systems. Students will also work with data structures and algorithms, while uncover the mechanisms behind the blockchain technology.

Through this program, students will demonstrate knowledge and application of C, the Linux kernel interface, advanced trees, graphs, pathfinding, cryptography, block mining, blockchain, and more.

Graduates in this program can reasonably expect to get jobs as: Junior Software Engineer, Software Engineer, Embedded System Programmer, SRE, Junior Blockchain Engineer, Unix Developer, Distributed System Developer and C Developer.

Computer Science & Machine Learning

Program Objective:

In this program, students will learn from the ground up all of the pieces necessary to build machine learning models using everything from Numpy, and Tensorflow, to Keras and apply them to real world situations for application to future professional experiences of students.

Students will learn to build out the forward and back propagation of deep feed-forward, convolutional, and recurrent neural networks. They will also learn about databases, how to scrape and label datasets while avoiding human bias, how to manage large scale datasets and about both data collection and management.

Graduates in this program can reasonably expect to get jobs as: Machine Learning Engineer, AI Engineer, Data Engineer, Data Scientist, Data Analyst, Big Data Developer, Machine Learning Infrastructure Developer, Python Developer, Tensorflow Developer.