MS in Artificial Intelligence
ISC - Long Island University, Brooklyn, United States
First Year Course Fee
USD 27,108
Course Accredited By
MSCHE
To prepare the workforce of the future, the 30- credit M.S. in Artificial Intelligence (AI) aims to educate and train skilled leaders to create AI applications and AI systems that are designed to solve complex real-world challenges and problems across many industry domains. The purpose of the program is to achieve this latter goal while addressing the emerging needs of the market.
Additionally, the new program, with its faculty and students, aims to accelerate multidisciplinary research and discovery in LIU emerging signature areas: health, pharmaceutics, pharmacologicalengineering, bioinformatics, and business among others. The program will create new opportunities for research and economic development. It is a pathway for masters students to pursue exciting career opportunities in the most innovative companies in the NY region and the globe across all industry sectors and/or Ph.D. research in Computer Science and related fields.
The M.S. in AI program offers a holistic view and a multidisciplinary in-depth study of AI theory and practice. New courses include: Programming in Python, Data Structures and Algorithms, Statistical Learning, Modern Artificial Intelligence (Present and Future), Machine Learning and Pattern Recognition, Data Mining and Exploration, Deep Learning, Artificial Intelligence and Machine Learning in Bioinformatics, Automatic Speech Recognition, Image and Vision Computing, and Computational Neuroscience and Cognition and Intelligent Autonomous Robots. In addition, the program includes two Special Topics courses for timely introduction of cutting edge advanced topics in Artificial Intelligence, including research topics. The program offers two options: a course only option and a thesis option for six credits over two semesters. The one-year thesis sequence should demonstrate the students’ learning in the program and contributions ranging from practical developments of AI components or systems to theoretical contributions, culminating in a thesis document.
The M.S. in AI program offers a holistic view and a multidisciplinary in-depth study of AI theory and practice. New courses include: Programming in Python, Data Structures and Algorithms, Statistical Learning, Modern Artificial Intelligence (Present and Future), Machine Learning and Pattern Recognition, Data Mining and Exploration, Deep Learning, Artificial Intelligence and Machine Learning in Bioinformatics, Automatic Speech Recognition, Image and Vision Computing, and Computational Neuroscience and Cognition and Intelligent Autonomous Robots. In addition, the program includes two Special Topics courses for timely introduction of cutting edge advanced topics in Artificial Intelligence, including research topics. The program offers two options: a course only option and a thesis option for six credits over two semesters. The one-year thesis sequence should demonstrate the students’ learning in the program and contributions ranging from practical developments of AI components or systems to theoretical contributions, culminating in a thesis document.
Enrollment Cycles
- September 2023
Entry requirements
Graduate
Direct Admission
- TOEFL (iBT) 79 or 85 (varies by program)
- IELTS 6.0 (School of Pharmacy)
- Pearson (PTE) 58
- Pearson Versant Not Accepted
- Duolingo Not Accepted
- Gao Kao English 90 (Post) 100 - 105(Brooklyn)
- GPA: 2.0 – 2.5
English Language Institute
- TOEFL (iBT) 56 - 78
- IELTS 5.5 – 6 Overall
- Pearson (PTE) 45 - 57
- Pearson Versant Not Accepted
- Duolingo Not Accepted
- Gao Kao English Under 90 (Post) Under 100 (Brooklyn)
- GPA: 2.5 – 3.0
MS in Artificial Intelligence Requirements
Choose four of the following Core Module Courses:
- AI 602 Programming in Python 3.00hrs Credit
- AI 632 Algorithms and Data Structures in Python 3.00hrs Credit
- AI 680 Artificial Intelligence: Present and Future 3.00hrs Credit
- AI 682 Data Mining and Exploration 3.00hrs Credit
- AI 683 Statistical Learning 3.00hrs Credit
- AI 686 Automatic Speech Recognition 3.00hrs Credit
- AI 688 Image and Vision Computing 3.00hrs Credit
Choose two of the following Specialization Courses:
- AI 687 AI and Machine Learning in Bioinformatics 3.00hrs Credit
- AI 689 Computational Neuroscience, Cognition and Artificial Intelligence 3.00hrs Credit
- AI 701 Intelligent Autonomous Robotics 3.00hrs Credit
- AI 790 Special Topics in Artificial Intelligence I 3.00hrs Credit
- AI 791 Special Topics in AI: 2 3.00hrs Credit
The following two courses are required:
- AI 681 Machine Learning & Pattern Recognition 3.00hrs Credit
- AI 700 Applicable Deep Learning 3.00hrs Credit
MS in Artificial Intelligence Electives/Thesis Options
Choose one of the following options:
- 6 credits of graduate electives in Artificial Intelligence or Computer Science
OR
Thesis - 6 credits - AI 698 Thesis I 3.00hrs Credit
- AI 699 Thesis II 3.00hrs Credit
Graduate
Direct Admission (2 semesters - Varies by program) $23,382 - $27,108
Estimated Room, Board & Fees $16,266 - $19,614
*Pricing is subject to change