This program is under licensing progress
Master in Computer science, Artificial Intelligence and Cybersecurity
The Master in Computer Science, Artificial Intelligence, and Cybersecurity program is designed to provide a flexible learning environment that encourages personal interaction between students and faculty members. The program is taught by award-winning professors who are leaders in the computer science research community. It offers rigorous training to expand students’ expertise in advanced areas such as machine learning, artificial intelligence, and advanced systems design. By the end of the program, students will have gained the skills required to advance their careers in computer science .
The online Master of Science in Computer Science program offered by Windsor University aims to introduce and emphasize emerging areas of computer science that surpass industry standards . The program’s curriculum is inspired by industry trends and innovative research and is designed to cater to students with existing computer science expertise. It covers advanced program topics that delve into various areas of computer science. The program’s courses are designed to elevate students’ skills and knowledge in computer science to exceed industry standards.
The online Master of Science in Computer Science program provided by Tufts University aims to provide a foundation in both computer science theory and programming practice. The program is designed to expose students to challenges and research problems that involve creating new kinds of computer software and developing advanced implementation skills in various areas of computer science, including algorithms
Learning Delivery Mode
- Our program offers a unique learning delivery model that combines online and recorded content to provide students with a flexible and accessible learning experience. With 1/3 of the program delivered online and 2/3 recorded, students can access course materials and lectures at their own pace and on their own schedule, while still benefiting from the guidance and support of our expert faculty. This approach allows students to balance their academic studies with their other commitments and obligations, and to customize their learning experience to suit their individual needs and goals.
Program Duration
The is typically completed in 1.5 – 3 years of full-time study.
Credit Hours:
To earn the degree, students must complete a minimum of 30 credit hours.
GPA:
Competitive applicants have a cumulative GPA of 3.0 or higher (on a 4.0 scale).
Relevant Education:
A bachelor’s degree in computer science from a regionally accredited institution or a comparable degree from a foreign academic institution is required.
Relevant Background:
Applicants should have an extensive background in computer science or related sciences. Applicant coursework and/or professional experience covering knowledge from core undergraduate computer science courses will be taken into consideration.
Curriculum
- Machine Learning
- Advanced Operating Systems
- Parallel Systems
- Optimization
- Deep Learning
- Advanced Linear Algebra for Computing
- Algorithms: Techniques and Theory
- Online Learning and Optimization
- Reinforcement Learning: Theory and Practice
- Android Programming
- Natural Language Processing
- Virtualization
- Automated Logical Reasoning
- Introduction to Quantum Information Science
- Implementation of Programming Languages
- Case Studies in Machine Learning
Tuition Fees
- Will be announced on September 2023
Admission
- Admission Will open at September
For more information contact: [email protected]