Information Technology (M.S.)

https://manchester.unh.edu/program/ms/information-technology

The MS in Information Technology program is a professional graduate program in the applied and fast-changing field of Information Technology. The program prepares students for a professional IT or computing-related career and for advanced studies in a computing discipline. Offered at the University's urban campus in Manchester, a city that embraces cultural diversity, the program welcomes students from all over the word. With classes scheduled during the day and in the evening in fall, spring, and summer terms, the program gives students the flexibility to enroll full- or part-time.

Tools, platforms, and programming languages used in IT industry evolve rapidly. Capitalizing on the campus location in New Hampshire's largest city and the state's corporate and financial center, the program requires an internship experience. With support from many business, technology and non-profit organizations who sponsor internships, students integrate authentic professional experiences in their academic coursework early in the program.

Degree Requirements

The M.S. IT program has two options for completion:

  • Master's Project Option (33 Credits): 10 courses (30 credits) and Master's Project course (3 credits)
  • Master's Thesis Option (30 Credits): 8 courses (24 credits) and Master's Thesis (6 credits)

Both options require completion of 18 core credits.

Students are required to complete 3 credits in each of the six core areas below.
Data3
COMP 820Database Systems and Technologies3
or COMP 821 Big Data for Data Engineers
Operations
COMP 835Secure Networking Technologies3
or COMP 851 System Integration and Architecture
Intelligent Systems
COMP 840Machine Learning Applications and Tools3
or COMP 841 Practical Artificial Intelligence
Development
COMP 805Full Stack Development3
or COMP 830 Software Development
Security
COMP 815Information Security3
or COMP 885 Applied Cryptography
Professional Experience 13
COMP 801Integrated Computing Practice3
Internship (Select from the following) 2
Internship and Career Planning
and Internship Practice
Internship and Career Planning
and Applied Research Internship
Internship Practice
Applied Research Internship
Elective Courses6-12
Master's Project Option requires 12 credits of elective coursework. Master's Thesis Option requires 6 credits of elective coursework
Elective courses can be in various disciplines, including computer science (CS), computing (COMP), business and administration (ADMN), analytics and data science (DATA), and more. Depending on the culminating experience option (project or thesis), there are two or four elective courses required.
Culminating Experience
Select one of the following:
COMP 898Master's Project3
COMP 899Master's Thesis6
1

Students are required to enroll in COMP 801 Integrated Computing Practice within their first nine credits in the program. 

2

 Students are required to enroll in at least 1 credit of Professional Experience upon successful completion of nine credits in the program. COMP 891 Internship Practice  and COMP 892 Applied Research Internship  may be repeated for a maximum of 6 credits.

This graduate program is approved to be taken on an accelerated basis in articulation with certain undergraduate degree programs.

General Accelerated Master's policy, note that some programs have additional requirements (e.g. higher grade expectations) compared to the policy.

Please see the Graduate School website and contact the department directly for more information.

  • Analyze complex computing problems and identify solutions by applying principles of computing.
  • Design, implement, and evaluate computing solutions that meet IT computing requirements.
  • Communicate effectively in a variety of professional contexts.
  • Recognize professional responsibilities and make informed judgments in computing practice based on legal and ethical principles.
  • Function effectively as a member or leader of a team engaged in IT activities.
  • Identify and analyze user needs in the process of developing and operating computing systems.