The Master of Engineering in Computing and Technology program is designed for experienced professionals who wish to develop deep understanding of computing and technology topics like big data, AI, and cybersecurity, while enhancing management and leadership skills through real-world projects.
The program is offered 100% online and in English, and it’s taught by the same faculty as the campus.
Program of study electives selected cover the areas of big data and analytics, artificial intelligence, machine learning, blockchain, cryptography, and mobile computing.
Related careers: Chief Information Officer, Big data analyst, network security expert, blockchain Architect, Software Engineer, Technology Manager, Artificial intelligence engineer, algorithm engineer, SEARCH engine optimization expert, game development designer.
Featured courses: Large-scale data processing, artificial intelligence, big data mining, engineering block chain applications, applied cryptography, statistical machine learning, advanced computer network security, data visualization, Introduction to Visual Computing deep Learning, mobile computing and Distributed and Multiprocessor Operating Systems.
Bachelor degree and official certificate in computer science, computer engineering, and software engineering or related field, from a regionally accredited institution or the equivalent of a U.S. bachelor’s degree from an international institution that is officially recognized by that country.
Applicants must have a minimum GPA of 3.00 (scale is 4.00 = “A”) in the last 60 credit hours of their first bachelor’s degree program, or applicants must have a minimum cumulative GPA of 3.00 (scale is 4.00 = “A”) in an applicable master’s degree program.
GRE Scores are not required.
Those applicants who have earned a bachelor’s degree in a non-related field of study but can demonstrate readiness by holding a bachelor’s degree which developed the core competencies required for entry or by relevant work experience are welcome to apply to the Performance Pathways. Applicants with a lower GPA might also be considered for Performance Pathways.
Through the Performance Pathway, students may enroll and successfully complete nine credit hours (3 courses), with an average grade of B or higher as a non-degree student to establish a GPA of 3.0. After the student establishes a GPA of 3.0 or higher, they can be admitted to the M.Eng. and transfer the nine credits as part of their program of study. If students pass all three courses but are unable to obtain a 3.0 GPA, they can earn a certificate of completion in Computing and Technology.
Official transcripts and English translation with GPA >= 3.0 in the last 60 hours of their first bachelor‘s degree program, or applicants must have a minimum cumulative GPA of 3.00 (scale is 4.00 = “A”) in applicable master’s degree program.
Admission application and application fee.