Information Technology (M.S.)
The Gabelli School's M.S. in Information Technology (MSIT) program provides skills in:
- Business data analytics and data management
- Cybersecurity
- Digital Transformation
- Enterprise computing, with a focus on application development
- IT in specific industry sectors and functional areas such as accounting, financial technologies, and healthcare.
The Gabelli School's Master of Science in Information Technology (MSIT) curriculum is focused on creating value through technology. You'll learn how to develop innovative new processes, products, and business models while helping to integrate new technology into your company's culture.
The program allows students to specialize in one of four career-oriented tracks, according to their interests:
- Business Analytics: this track centers around the processes of collecting, cleaning, structuring, integrating, and analyzing data to drive management insight, informed decision-making, and superior business performance.
- Cybersecurity: in this emerging track, students can specialize in cybersecurity management in business.
- Digital Transformation: this track addresses the transformational role of contemporary information technologies and their applications.
- Enterprise Computing: this track is for students who wish to delve deeper into solution delivery activities of enterprise applications.
These career tracks were chosen for their exceptional employment opportunities in today's job market, as well as their relevance to a wide range of industries.
The MSIT has two schedule choices, a one-year full-time program and a part-time program spread over a longer time frame, ideal for professionals who don't want to leave their jobs while they pursue the degree.
The Gabelli School Edge
Gabelli School MSIT graduates hit the job market with a keen understanding of the transformational role of technology and all the skills needed to find and exploit value opportunities for organization.
Ideal Candidates
Our MSIT program is designed for students who are interested in exploring the intersection of technology and business.
If you are fascinated by analytics, coding, cybersecurity, DevOps engineering, digital transformation, and others, this degree would be a good fit. A tech background is not necessary, but it is helpful to have a basic awareness of the role of IT in supporting organizational processes and strategy.
Learning Competencies
- Students will become proficient in coding & programming for Information Technology.
- Students will demonstrate an understanding of data design, organization, and use.
- Students will demonstrate an understanding of the design & modeling of information technology applications.
- Students will demonstrate an understanding of the managerial issues surrounding information technology.
To learn more about the M.S. in Information Technology, visit the Fordham website.
CIP Code
11.0103 - Information Technology.
You can use the CIP code to learn more about career paths associated with this field of study and, for international students, possible post-graduation visa extensions. Learn more about CIP codes and other information resources.
The MSIT degree requires 10 graduate-level courses for a total of 30 credits. Students must take six core courses (18 credits) and four elective courses (12 credits). The program allows students to specialize in one of four career-oriented tracks, according to their interests. They can choose from tracks in Business Analytics, Cybersecurity, Digital Transformation, and Enterprise Computing.
Prerequisites
Students who completed a non-business undergraduate major are required to do a self-study module on IT and business to ensure that they have a basic understanding of the material covered in our Business IT course. In addition, data mining and other data analytics courses may require an understanding of basic statistics.
Curriculum
Students who have advanced experience or a deep academic background may substitute up to two of the core courses with advanced information systems electives, with permission from the area chair.
Students may choose elective courses that meet their individual interests and career aspirations. Conversations with the program director and academic adviser will help in this process.
| Course | Title | Credits |
|---|---|---|
| ISGB 7902 | System Analysis & Design | 3 |
| ISGB 7973 | Data Management and SQL | 3 |
| ISGB 7955 | Project Management | 3 |
| ISGB 7905 | Web Applications Development | 3 |
| ISGB 7967 | Machine Learning for Business | 3 |
| ISGB 7910 | Info Systems Strategy & Mgmt | 3 |
| Four elective courses, for example: 1 | 12 | |
| Three courses from one of the following tracks: 2 | ||
Business Analytics | ||
Cybersecurity | ||
Digital Transformation | ||
Enterprise Computing | ||
| Total Credits | 30 | |
- 1
For a full list of courses that fulfill the MSIT elective requirement, see the below list.
- 2
For details on the four MSIT tracks, see the Tracks tab.
Electives
Courses in this group have the ISEL attribute.
| Course | Title | Credits |
|---|---|---|
| ACGB 7185 | Derivatives and Analytics for Accounting | 3 |
| ACGB 719G | Audit Data Analytics | 3 |
| ACGB 719H | IT Audit and Information Assurance | 3 |
| DGGB 6820 | Statistics | 3 |
| DGGB 7844 | Stat Methods and Comp I | 3 |
| ISGB 6910 | Business Tech & Analytics | 3 |
| ISGB 7901 | E Business Strategies & Appl | 3 |
| ISGB 7922 | Healthcare IT | 3 |
| ISGB 7924 | Mobile E-Commerce and Apps | 3 |
| ISGB 7932 | Accounting Info System | 3 |
| ISGB 7933 | Audit Data Analytics | 3 |
| ISGB 7934 | Artificial Intelligence | 3 |
| ISGB 7942 | Optimization Models in Bus | 3 |
| ISGB 7943 | Programming with Python | 3 |
| ISGB 7944 | Sports Analytics | 3 |
| ISGB 7945 | IT and Sustainability | 3 |
| ISGB 7975 | Data Visualization | 3 |
| ISGB 7977 | Natural Language Processing and Applications | 3 |
| ISGB 7978 | Web Analytics | 3 |
| ISGB 7980 | Bus Modeling w/Adv Sprdsheets | 3 |
| ISGB 7985 | Data Warehousing | 3 |
| ISGB 7988 | Business Performance Analytics | 3 |
| ISGB 7990 | Cloud Computing for Analytics | 3 |
| ISGB 799D | Cybersecurity and Data Privacy | 3 |
| ISGB 799L | Study Tour: Germany | 3 |
| ISGB 799R | IT Audit and Information Assurance | 3 |
| ISGB 799S | C++ Programming | 3 |
| ISGB 799V | R Statistical Programming | 3 |
| ISGB 799W | Java Programming | 3 |
| ISGB 799X | Fintech -An Introduction | 3 |
| ISGB 799Y | Blockchain Tech & App Dev | 3 |
| ISGB 799Z | Deep Learning | 3 |
| ISGB 79AA | Advanced Python for Financial Programming | 3 |
| ISGB 79AC | Cybersecurity Analytics for Business | 3 |
| ISGB 79AD | Digital Forensics | 3 |
| ISGB 79AE | Robotic Process Automation | 3 |
| MKGB 779I | Data-Driven Marketing Decisions | 3 |
| MKGB 879X | Applied CRM | 1.5 |
| OPGB 6627 | Operations and Supply Chain Management | 3 |
| QFGB 8968 | Blockchain Technology and Application Development | 3 |
| SDGB 7851 | Measurement and Data Visualization | 3 |
Students seeking special permission to count a course without the BYGB or ISGB subject code as an elective must follow the below, three-step approval process.
Only 6000-level or above courses may be considered for electives to count towards MSIT.
- The student should send a detailed petition to the MSIT Program Director explaining why they are considering a non-BYGB or ISGB subject code course as an elective.
- The student should request permission from the instructor of the relevant course to join the elective, who should then send an email to the student authorizing the student's enrollment in the course. The student should forward that email to the MSIT Program Director and MSIT Advising Dean.
- The MSIT Program Director and MSIT Advising Dean will discuss the request, giving it due consideration, and render a decision on whether the non-BYGB or ISGB subject code course may be accepted as an elective.
Note: all advanced ISGB courses with prerequisites must be met (please discuss with the Program Director/Advising Dean).
For students who are not interested in any of the below tracks, another option is to create an optimal mix of electives across the tracks, in consultation with the program director and area chair.
Business Analytics Track
This track centers around the processes of collecting, cleaning, structuring, integrating, and analyzing data to drive management insight, informed decision-making, and superior business performance. Courses in this group have the ISBA attribute.
| Course | Title | Credits |
|---|---|---|
| ISGB 7933 | Audit Data Analytics | 3 |
| ISGB 7934 | Artificial Intelligence | 3 |
| ISGB 7942 | Optimization Models in Bus | 3 |
| ISGB 7944 | Sports Analytics | 3 |
| ISGB 7975 | Data Visualization | 3 |
| ISGB 7977 | Natural Language Processing and Applications | 3 |
| ISGB 7978 | Web Analytics | 3 |
| ISGB 7980 | Bus Modeling w/Adv Sprdsheets | 3 |
| ISGB 7985 | Data Warehousing | 3 |
| ISGB 7988 | Business Performance Analytics | 3 |
| ISGB 7990 | Cloud Computing for Analytics | 3 |
| ISGB 799Z | Deep Learning | 3 |
| ISGB 79AA | Advanced Python for Financial Programming | 3 |
Cybersecurity Track
In this emerging track, students can specialize in cybersecurity management in business. Courses in this group have the ISCY attribute.
| Course | Title | Credits |
|---|---|---|
| ISGB 6910 | Business Tech & Analytics | 3 |
| ISGB 799D | Cybersecurity and Data Privacy | 3 |
| ISGB 79AC | Cybersecurity Analytics for Business | 3 |
| ISGB 79AD | Digital Forensics | 3 |
Digital Transformation Track
This track addresses the transformational role of contemporary information technologies and their applications. Courses in this group have the ISDT attribute.
| Course | Title | Credits |
|---|---|---|
| ISGB 6910 | Business Tech & Analytics | 3 |
| ISGB 7901 | E Business Strategies & Appl | 3 |
| ISGB 7922 | Healthcare IT | 3 |
| ISGB 7924 | Mobile E-Commerce and Apps | 3 |
| ISGB 7932 | Accounting Info System | 3 |
| ISGB 7945 | IT and Sustainability | 3 |
| ISGB 7988 | Business Performance Analytics | 3 |
| ISGB 799L | Study Tour: Germany | 3 |
| ISGB 799R | IT Audit and Information Assurance | 3 |
| ISGB 799X | Fintech -An Introduction | 3 |
| ISGB 799Y | Blockchain Tech & App Dev | 3 |
| ISGB 79AA | Advanced Python for Financial Programming | 3 |
| ISGB 79AE | Robotic Process Automation | 3 |
Enterprise Computing Track
This track is for students who wish to delve deeper into solution delivery activities of enterprise applications. Courses in this group have the ISEC attribute.
| Course | Title | Credits |
|---|---|---|
| ISGB 6910 | Business Tech & Analytics | 3 |
| ISGB 7932 | Accounting Info System | 3 |
| ISGB 7943 | Programming with Python | 3 |
| ISGB 7985 | Data Warehousing | 3 |
| ISGB 799S | C++ Programming | 3 |
| ISGB 799V | R Statistical Programming | 3 |
| ISGB 799W | Java Programming | 3 |
| ISGB 799X | Fintech -An Introduction | 3 |
| ISGB 799Y | Blockchain Tech & App Dev | 3 |
| ISGB 79AA | Advanced Python for Financial Programming | 3 |
| ISGB 79AE | Robotic Process Automation | 3 |