The 36-credit master's in data science is designed for students who hold an undergraduate degree in computer science, information technology, information systems, or a comparable discipline. With flexible class schedules including onsite in New York, online/hybrid, and weekends, this program is perfect for students looking for day 1 CPT opportunities and wishing to develop their career in or near NYC.
The MS in data science program cultivates students' analytical expertise in technology and social science, enabling them to identify trends and manage data. Graduates of the program will have gained competencies in:
Database systems Data mining Big data Data Science Computer networks Cloud computing Artificial intelligence Machine learning Statistical programming
The Master of Science in Data Science program is designed for students who have completed their undergraduate degree in Computer Science or a related field and seek to enhance their theoretical, analytical, and practical skills. This program offers a robust foundation in data science, statistical computing, object-oriented programming, database systems, data mining, artificial intelligence, natural language processing, machine learning, computer networks, cloud computing, big data, and analytics.
Data science master's graduates will also gain proficiency in cutting-edge resources, including Oracle, Hadoop, AWS, SAS, JMP, MATLAB, Tensorflow, and Tableau, as well as programming languages like SQL, Python, and R. These skills will enhance their ability to evaluate and analyze systems across diverse industries.
Graduates will be well-prepared for several industry-recognized certifications, such as:
- Certified Analytics Professional (CAP)
- Data Science Council of America (DASCA)
- IBM Certified Data Architect
- Microsoft MCSE: Data Management and Analytics
- Microsoft Certified Azure Data Scientist Associate
- SAS Certified Advanced Analytics Professional
- SAS Certified Big Data Professional
- SAS Certified Data Scientist Other relevant certifications
Core Courses (27 credit hours)
- CS-617 Statistical Computing
- CS-628 Data Science
- CS-630 Database Systems
- CS-633 Data Mining
- CS-650 Artificial Intelligence
- CS-655 Machine Learning
- CS-675 Big Data: Management & Analytics
- CS-703 Applied Data Science Project
- KG-604 Graduate Research & Critical Analysis
Elective Courses (9 credit hours)
Select 3 of the following courses:
- CS-640 Computer Networks
- CS-645 Computer Security & Privacy
- CS-665 Analytic Techniques
- CS-670 Cloud Computing
- CS-707 Research Topics in Data Science