Georgia Institute of Technology offers online graduate study through several academic and professional-education arrangements. This research set covers computer science, analytics, cybersecurity and the Professional Master’s in Manufacturing Leadership. They are separate degrees with different learning goals. Their presence in one university directory does not mean they share a price, admissions standard, attendance rule or completion schedule.
Separate fully online and hybrid study
Computer science, analytics and cybersecurity are presented as online options. Manufacturing Leadership is expressly hybrid, with online work, video interaction and required campus visits. That difference belongs near the beginning of a decision, especially for a student who cannot travel. Read the exact program FAQ and request current dates rather than assuming a general online label covers the entire educational experience.
Track choices also matter. Cybersecurity describes different preparation expectations across technical and policy tracks. Analytics combines several methods and applications. Computer science requires a specialization within a broader degree. Compare the actual required work and entry assumptions, rather than treating each track or concentration as a separate master’s for catalog-count purposes.
Admissions and preparation
Use the administering program’s current admissions instructions. Establish which prior degree, quantitative or computing foundations, experience and documents apply. A published testing policy should not be substituted for academic readiness. If a route accepts applicants with different backgrounds, ask what preparation is expected before classes and how an applicant demonstrates it. A competitive review remains a university decision.
Tuition needs a defined residency and enrollment basis
The analytics and cybersecurity pages publish tuition by residency and mandatory online-learning fees tied to semester enrollment. Manufacturing Leadership has its own tuition and fee table. A headline tuition estimate cannot be treated as the total for every student or pace. Record residency, credits, entry period and the number of chargeable terms before comparing financial scenarios.
Ask the Bursar or program to confirm the applicable current rate sheet and what happens if you reduce your load, repeat a course or need an additional term. Keep travel for required visits, accommodation, materials and changes to paid work in a personal scenario. An occupational salary example or alumni story does not establish what the degree will return for an individual applicant.
Accreditation and institutional identity
Georgia Tech’s official accreditation statement identifies institutional accreditation by the Southern Association of Colleges and Schools Commission on Colleges to award graduate and other degrees. The federal institution identity in these records is Georgia Tech’s main institution. That link does not establish a program-specific approval, a professional license or a graduate outcome for an online track.
Questions that make a shortlist useful
Identify the required core, specialization and applied work for each degree. Ask which electives are offered to online students, when they run, how teams collaborate and which support hours fit your time zone. Check technology and accessibility arrangements, assessment rules and any location conditions. A program’s minimum duration is not a substitute for a course sequence you can actually sustain.
When a program advertises a future launch or invites interest rather than offering a current application route, keep that status distinct from an active offering. This research set excludes the OMS AI interest page seeking Fall 2027 application details. Use current official instructions to move from research to application, without sending an inquiry or accepting a contact arrangement merely by browsing the program.
Choose an online computer science master’s by matching its technical depth and prerequisites to the computing problems you want to solve. A program designed for experienced programmers is a different route from one with an explicit bridge for applicants from other fields.
Investigate a data science master’s when you want to build stronger statistical and computational judgment about data. Compare mathematical preparation, programming depth, model evaluation and the kind of applied work you will complete.
An online cybersecurity master’s can emphasize hands-on technical defense, governance and risk, or a blend. Choose by the security work you want to do and the background the curriculum assumes, then verify labs and attendance requirements.
An online engineering management master’s is a route to investigate when you want to combine technical understanding with responsibility for projects, people, resources and organizational decisions. Compare its engineering context with an MBA and a deeper technical master’s.
The federal figures below describe the matched institution and reported fields of study. They are separate from our reviewed online master’s program facts.
Matched federal reporting entity: Georgia Institute of Technology-Main Campus (139755)
Georgia Institute of Technology-Main Campus The curated institution and the selected federal reporting entity match by exact name/campus,existing ID where present,and official domain. Metric populations and years still require separate interpretation.
Source: U.S. Department of Education College Scorecard. Retrieved November 2, 2026 22:21 UTC. Latest available figures may describe different reporting years and cohorts.
Federal institution ID
139755
Location
Atlanta, GA 30332-0530
Graduate enrollment, institution-wide
32,772
Undergraduate enrollment
18,785
Undergraduate annual tuition, in-state
$12,008
Undergraduate annual tuition, out-of-state
$35,092
Undergraduate annual tuition is not the price of an online master’s degree. Federal admission, completion, debt and earnings measures describe defined cohorts, not an individual’s future result. Missing or suppressed values are not zero.
Choose a category or search field names, definitions and reported values. All returned fields remain available in the paginated explorer and complete downloads, including missing values. “Latest” can combine different reporting years. The retrieval date is not the cohort year.
58 matching data elements · Page 2 of 2.
College Scorecard fields, values and definitions
Data element
Reported value
Source field
Carnegie Classification — Institutional Classification Definition and coverage
Published dictionary most-recent cohort mapping: AcadYr 2025-26, reported in IPEDS DCY2025-26. This mapping is not confirmation of the API’s update date.
Explicit dictionary VALUE/LABEL code table; codes are not quantities.
30 — Special Focus: Technology, Engineering, and Sciences
school.carnegie_inst_class
Carnegie Classification — Student Access and Earnings Definition and coverage
Carnegie Classification — Student Access and Earnings
Published dictionary most-recent cohort mapping: AcadYr 2025-26, reported in IPEDS DCY2025-26. This mapping is not confirmation of the API’s update date.
Explicit dictionary VALUE/LABEL code table; codes are not quantities.
5 — Lower Access, Higher Earnings
school.carnegie_access_earnings
Carnegie Classification — Research Activity Designation Definition and coverage
Carnegie Classification — Research Activity Designation
Published dictionary most-recent cohort mapping: AcadYr 2025-26, reported in IPEDS DCY2025-26. This mapping is not confirmation of the API’s update date.
Explicit dictionary VALUE/LABEL code table; codes are not quantities.
1 — Research 1: Very High Spending and Doctorate Production
school.carnegie_research
Carnegie Classification — Institutional Size Definition and coverage
Carnegie Classification — Institutional Size
Published dictionary most-recent cohort mapping: AcadYr 2025-26, reported in IPEDS DCY2025-26. This mapping is not confirmation of the API’s update date.
Explicit dictionary VALUE/LABEL code table; codes are not quantities.
5 — Very Large
school.carnegie_inst_size
Carnegie Classification — Award Level Focus Definition and coverage
Carnegie Classification — Award Level Focus
Published dictionary most-recent cohort mapping: AcadYr 2025-26, reported in IPEDS DCY2025-26. This mapping is not confirmation of the API’s update date.
Explicit dictionary VALUE/LABEL code table; codes are not quantities.
5 — Undergraduate/Graduate-Doctorate
school.carnegie_award_focus
Carnegie Classification — Undergraduate Academic Program Mix Definition and coverage
Carnegie Classification — Undergraduate Academic Program Mix
Published dictionary most-recent cohort mapping: AcadYr 2025-26, reported in IPEDS DCY2025-26. This mapping is not confirmation of the API’s update date.
Explicit dictionary VALUE/LABEL code table; codes are not quantities.
11 — Special Focus: Technology, Engineering, and Sciences
school.carnegie_ug_program
Carnegie Classification — Graduate Academic Program Mix Definition and coverage
Carnegie Classification — Graduate Academic Program Mix
Published dictionary most-recent cohort mapping: AcadYr 2025-26, reported in IPEDS DCY2025-26. This mapping is not confirmation of the API’s update date.
Explicit dictionary VALUE/LABEL code table; codes are not quantities.
11 — Special Focus: Technology, Engineering, and Sciences
Downloads include every data element returned for this institution and data selection, across all categories and credential levels. Explorer filters do not truncate the downloads. CSV text that could be interpreted as a spreadsheet formula is escaped; JSON preserves the original data values.
Device saves and comparison preferences support features you choose to use. Optional analytics helps us understand site usage. We do not send private plan notes, contact information, assessment results or chat text to analytics.