Affordable Online Machine Learning Degrees

Affordable online machine learning programs are less about finding the lowest advertised rate and more about lowering your total cost to complete the degree. The levers that actually move the number are the per-credit price you pay, how many credits you pay it on, and which fees get added afterward. Machine learning programs add one cost category that most fields do not: computing resources for training models.

Quick Answers

What actually lowers the cost of a machine learning degree?

The largest levers are in-state or flat online tuition rates, transferring in prior college credit, and credit-by-exam options such as CLEP or DSST for foundational coursework. Reducing the number of credits you take at full price has more effect than chasing a single low advertised rate.

Do online programs charge in-state tuition to out-of-state students?

Many public universities charge a flat online tuition rate regardless of state residency, but not all do. Some still apply out-of-state rates to online students living outside the state. Confirm the specific policy with each school before enrolling.

Can transfer credits reduce total cost?

Yes. If a school accepts your prior college credit or standardized exam credit toward degree requirements, you take fewer courses at that school’s tuition rate. Foundational math and general education transfer most readily; upper-division machine learning courses transfer less readily.

What fees should I expect on top of tuition?

Machine learning programs commonly bill technology fees, proctoring charges for online exams, software or dataset licensing, and in some cases cloud computing charges for model training. Ask each school for an itemized fee schedule at your degree level.

Does compute cost extra?

Sometimes. Programs differ on whether the computing resources needed to train models are provided as part of tuition, provided with a usage cap, or left to the student to purchase from a cloud provider. This can be a meaningful line item in a deep learning course, so ask before enrolling rather than after.

At a Glance

  • Compare: In-state or flat online tuition rates across schools
  • Check: Transfer credit and prior-learning assessment policies
  • Ask about: Technology, proctoring, software licensing, and compute charges billed on top of tuition
  • Reduce: Total credits taken at full price through transfer credit or credit by exam
  • Calculate: Per-credit rate multiplied by total required credits, plus fees – not the rate alone

For a full overview of program options, start with the Machine Learning Program Guide.

Schools to compare

How We Rank Schools

Every school list on this site is ordered by the BOC Score, computed from the most recent school-level data published by the U.S. Department of Education (College Scorecard and IPEDS). To qualify, a school must be currently operating and accredited by an agency recognized by the U.S. Department of Education. Each eligible school is then scored on five measures, percentile-ranked against schools at the same credential level:

  • Graduation rate 30%
  • Median earnings, 10 years after entry 25%
  • Average net price (lower is better) 20%
  • Retention rate 15%
  • Fully online availability 10%

Schools without enough outcome data appear after ranked schools, without a score. Advertising never affects these rankings. Read the full methodology.

#1

Georgia Institute of Technology-Main Campus

Atlanta, GA BOC Score 95.4
  • 4 year
  • Campus + Online
Graduation rate 93%
Median earnings, 10 yrs after entry $102,772
Avg net price $12,116/yr
TuitionContact school for pricing
Contact
Key stats
  • Retention rate: 98%
  • Programs offered: 22

Source:IPEDSCollege Scorecard

#2

University of California-San Diego

La Jolla, CA BOC Score 92.7
  • 4 year
  • Campus + Online
  • Accredited
Acceptance rate 27%
Graduation rate 87%
Median earnings, 10 yrs after entry $84,943
Avg net price $12,470/yr
Tuition
In‑state$16,758
Out‑of‑state$50,958
Contact
Key stats
  • Retention rate: 94%
  • Programs offered: 30

Source:Accreditor: Western Association of Schools and Colleges Senior Colleges and University CommissionIPEDSCollege Scorecard

#3

Middlebury Institute of International Studies at Monterey

Monterey, CA BOC Score 92.0
  • 4 year
  • Campus + Online
Graduation rate 85%
Median earnings, 10 yrs after entry $76,310
TuitionContact school for pricing
Contact
Key stats
  • Programs offered: 6

Source:IPEDSCollege Scorecard

#4

United States Coast Guard Academy

New London, CT BOC Score 78.6
  • 4 year
Graduation rate 89%
TuitionContact school for pricing
Contact
Key stats
  • Retention rate: 99%
  • Programs offered: 3

Source:IPEDSCollege Scorecard

#5

University of Washington-Bothell Campus

Bothell, WA BOC Score 77.8
  • 4 year
Graduation rate 80%
Median earnings, 10 yrs after entry $78,466
Avg net price $12,319/yr
TuitionContact school for pricing
Contact
Key stats
  • Retention rate: 86%
  • Programs offered: 18

Source:IPEDSCollege Scorecard

#6

Brigham Young University

Provo, UT BOC Score 77.1
  • 4 year
Graduation rate 85%
Median earnings, 10 yrs after entry $75,790
Avg net price $15,564/yr
TuitionContact school for pricing
Contact
Key stats
  • Retention rate: 90%
  • Programs offered: 74

Source:IPEDSCollege Scorecard

#7

United States Military Academy

West Point, NY BOC Score 76.5
  • 4 year
Graduation rate 86%
TuitionContact school for pricing
Contact
Key stats
  • Retention rate: 95%
  • Programs offered: 16

Source:IPEDSCollege Scorecard

#8

Cornell University

Ithaca, NY BOC Score 73.0
  • 4 year
Graduation rate 96%
Median earnings, 10 yrs after entry $104,043
Avg net price $28,690/yr
TuitionContact school for pricing
Contact
Key stats
  • Retention rate: 98%
  • Programs offered: 23

Source:IPEDSCollege Scorecard


Ways to lower the cost of an online machine learning degree

In-state or flat online tuition rates

Many public universities set a single online tuition rate for all students regardless of home state, which can be substantially lower than an out-of-state campus rate. Some schools still distinguish between in-state and out-of-state online tuition, so confirm the specific policy before applying. If you are eligible, also check regional tuition reciprocity agreements.

Transfer credit and prior learning

Bringing in transfer credit from a prior degree, community college coursework, or standardized exams such as CLEP or DSST reduces the number of courses you need to complete. This lever is largest at the bachelor’s level, where general education and the introductory math sequence make up a substantial share of the 120 credits. Ask each school:

  • What is the maximum number of transfer credits accepted
  • What minimum grade is required for a course to transfer
  • Whether transfer credit satisfies math prerequisites or only counts as general elective hours
  • Whether credit applies to the major core – calculus and linear algebra often transfer, upper-division machine learning courses often do not

Fees beyond tuition

Two programs with the same per-credit rate can bill very differently once fees are added. Ask each school for an itemized schedule covering:

  • Technology and online-platform fees, charged per term or per course
  • Proctoring charges for online exams
  • Software, dataset, or platform licensing fees for coursework
  • Cloud computing or GPU charges for training models, and whether an allowance is included

Compare total cost, not the advertised rate

The comparison that matters is per-credit rate multiplied by total required credits, plus fees across the whole program. A master’s at 30 credits and a higher rate can cost less overall than one at 36 credits and a lower rate. Ask each school to confirm total required credits in writing alongside the rate.

Pacing and time enrolled

Finishing coursework faster through an accelerated format does not usually reduce the tuition rate, but it can reduce total cost by shortening how long you are enrolled and by reducing exposure to tuition increases in later terms. Weigh that against the risk of needing to repeat a compressed course, which costs more than taking it once at standard pace.

Ask each school to confirm its total credits required alongside its per-credit rate, and to state whether compute for model training is included. A program with a lower rate but more required credits and separately billed compute can cost more overall than a shorter program with a higher advertised rate.

Cost factors to compare

  • Tuition per credit and total credits required for the degree
  • Whether the school charges a flat per-term rate or bills strictly per credit
  • Technology, proctoring, software licensing, and compute fees
  • Transfer credit and prior-learning assessment policies
  • Whether a thesis track adds terms compared with a capstone track at the master’s level
  • Whether the program requires any in-person residency, which adds travel cost

Degree level and cost

At the bachelor’s level, the cost lever with the most room is transfer credit, because roughly 120 credits gives you a lot of surface area to reduce. At the master’s level, roughly 30 to 36 credits leaves less to transfer, so the comparison shifts toward per-credit rate, total required credits, and fees. See Online Bachelor’s Pathways in Machine Learning and Online Master’s in Machine Learning for what each level involves.

Data verified: August 10, 2026. Salary, employment, and tuition figures on this page are sourced from the U.S. Bureau of Labor Statistics (OEWS May 2025; Employment Projections 2024–2034) and the U.S. Department of Education College Scorecard (2023 cohort). The source agency and data year are cited inline with every statistic.