Computer Science M S

The Computer Science Master of Science degree equips students with cutting edge knowledge and tools to solve data science and software development problems. The program starts by providing fundamental computer science theories that make skilled practice possible. 

Choose from specializations in data science, software development, or artificial intelligence and machine learning to pursue a career that best fits your interests. Solve some of the world's most interesting and challenging problems as you advance in your field.

Career Opportunities

Students can pursue careers as:

• Chief Information Officers
• Chief Technology Officers
• Data Scientists
• Computer and Information Research Scientists
• Mobile Application Developers
• Software Developers
• Web Developers
• AI Application Developers
• Computer Systems Analysts
• Security Analysts
• Database Administrators

And many more options

26% Growth

Career Outcomes

Salary expected to rise 26% through 2033*

$145K Salary

Average Pay

For software developers in the New York region*

30 - 36 Credits

Total Credits to Earn Your Degree

Specializations

Software Development

In the Software Development specialization, students are introduced to and trained in the software design and development processes, including mobile and distributed data development, and software assurance. 

Students will graduate prepared to design, develop, test, and evaluate both simple and complex software. 

30 credits

Data Science

In the Data Science specialization, students are introduced to and trained in the mathematical methods of data science, computational data analysis, machine learning, deep learning, and applications in big data. 

Across industries organizations are increasingly relying on data to make decisions. To manage all this data requires expertise not only in machine learning but also programming for data science and computing methods for big data.

30 credits

Artificial Intelligence and Machine Learning

In the Artificial Intelligence and Machine Learning specialization, students are introduced to and trained in the mathematical methods of data science, computational data analysis, machine learning and deep learning, artificial intelligence, computer vision, natural language processing, applications in big data, DevOps and ML-Ops, and data engineering services in the cloud.

36 credits

Application Requirements

• Bachelor’s Degree - GPA of 3.0 or higher. If a student has a GPA less than 3.0 but greater than 2.5, the applicant must request an interview with the Program Director.
• Résumé
• Statement of Purpose - Applicants must write an essay describing why they want to pursue the M.S. in Computer Science and what their career plans are after they graduate from the program.
• Letter of Recommendation – Applicants must submit at least one letter of recommendation from an individual qualified to assess their academic or professional qualifications for graduate study.