A checklist is the list of requirements to complete this program and receive the award, as the college publishes it in its catalog. It is the same for everyone. It does not say what you have completed; that comes from applying your own record.
Program
- Award
- Master of Science
- Credential class
- ceterms:MasterDegree
- CIP
- 14.4701
- Catalog edition
- Catalog 2026-2027
- Checklist type
- degree-program
- Description
- The M.S. in Computer Science will provide an advanced background for students across a broad range of topics in Computer Science and prepare them to make strong contributions in their chosen career. Students will study such topics as advanced programming, algorithms and algorithm design, principles of database design, programming languages, computer architecture, machine learning, deep learning, computer networks, and cybersecurity. Students may concentrate on areas such as web development, software systems, machine learning, cybersecurity, and data analytics. The MS will finish in a culminating capstone experience, which will enable students to integrate their coursework knowledge by putting it into practice.
Identifiers
- IPEDS UNITID
- 192749
- CourseShelf checklist
- CK_192749_9e574d46_2
- CollegeTransfer.Net
- Institution Transfer Profile
- Source
- CourseShelf publish 61
Requirements to complete
Every course or condition the catalog lists, in the catalog's order.
Degree Requirements
Take a minimum of 27 credits of the following courses: · 23 items
- The general track for students includes a minimum of 30 credits of:Not resolved to a course30
- Nine graduate Computer Science courses (minimum 27 credits)Not resolved to a course27
- One culminating element: Graduate Practicum in Computer Science (3 credits)Not resolved to a course3
- Research and Teaching Assistantships available to MS students include:Not resolved to a course
- Graduate Practicum in Computer ScienceNot resolved to a course
- Required CoursesNot resolved to a course
- Take a minimum of 27 credits of the following courses:Not resolved to a course27
- Survey of Data Structures and AlgorithmsNot resolved to a course
- Building Computer SystemsNot resolved to a course
- Database Design and ConstructionNot resolved to a course
- Foundations of Operating SystemsNot resolved to a course
- Computer Systems ArchitectureNot resolved to a course
- Networks and the InternetNot resolved to a course
- Natural Language ProcessingNot resolved to a course
- Web Application Development INot resolved to a course
- Web Application Development IINot resolved to a course
- Introduction to Data Science for EducatorsNot resolved to a course
- Programming LanguagesNot resolved to a course
- Foundations of CybersecurityNot resolved to a course
- Foundations of Deep LearningNot resolved to a course
- Impacts of ComputingNot resolved to a course
- Computation in Data Science (ED)Not resolved to a course
- Introduction to Graph TheoryNot resolved to a course
Source. Manhattanville College, catalog Catalog 2026-2027 — https://mville.smartcatalogiq.com/en/2026-2027/graduate-catalog/programs-of-study/computer-science/biomedical-sciences-master-of-science. Captured page pages/0076.html.gz. Assembled from the institution's published catalog as captured; every record names its captured page and source URL. Assembled, not asserted.