Information Systems, MS

Location(s): Main Campus

The Master of Science in Information Systems degree (MS IS) prepares students for careers in information technology, spanning from the design configuration and deployment of information processing systems to the management of teams tasked with work of this nature.

This program offers an optional track in Applied Data Science.

Admission Requirements

Holders of a baccalaureate degree who have adequate programming skills in at least one programming language are invited to apply for admission to the MS in Information Systems program. International applicants must satisfy the University-required English proficiency requirement.

Program Requirements

MS in Information Systems

Core Courses (9 credits)

Complete the following three required courses (total of nine credits):

Elective Courses (21 credits)

Complete a total of 21 credits (seven elective courses) chosen from the following list:

INFO 505 - Software Project Mgmt
INFO 533 - Web Based Inf Retrieval&Search
INFO 535 - Applied Data Mining
INFO 536 - Applied Machine Learning
INFO 537 - Tools for Data Science
INFO 541X - Mob. Appl. for Social Networks
INFO 542X - Obj Orien Design w/ Design Pat
INFO 544X - Web-Based Programming
INFO 554X - Data Analytics for Security
INFO 558X - Web and Database Security
INFO 559X - Information Systems Security
CS 515 - Social Media Data Sci Pipeline
CS 527 - Mobile Systems Security
CS 558 - Intro to Computer Security
CS 580 - Certain approved CS topics course in an area such as Natural Language Processing. The School of Computing website will maintain a current listing.

Termination Project (1 credit)

Complete the INFO 595 Termination Project course.

INFO 595 - Termination Project

MS in Information Systems with Applied Data Science Track

To meet the requirements to complete the applied data science track in the MS in Information Systems, students must complete the following courses within their 21 credits of electives:

Two required applied data science courses:

Two applied data science electives chosen from the following list:

INFO 505 - Software Project Mgmt
INFO 533 - Web Based Inf Retrieval&Search
INFO 537 - Tools for Data Science
INFO 554X - Data Analytics for Security
INFO 558X - Web and Database Security
INFO 559X - Information Systems Security
CS 515 - Social Media Data Sci Pipeline
CS 580 - Certain approved CS topics course in an area such as Natural Language Processing. The School of Computing website will maintain a current listing.

Additional Information about the Program

For more information on the Information Systems MS program, please refer to the Computer Science Graduate Programs website. To apply to the Information Systems MS program, please visit the University Graduate Admissions website.