How to Become an AI Engineer: Degrees, Math, and Programming You Need

To become an AI engineer, build three foundations (programming in Python, calculus and linear algebra, and probability and statistics), then earn a bachelor’s degree, a master’s degree or both. Online routes exist at each level, starting around $373.80 per credit for a bachelor’s and $9,990 in total for a master’s. Plan on one to four years, depending on what you already know.

What Does an AI Engineer Actually Do?

An AI engineer builds software that uses machine learning models and keeps it working. The title is not an official government category, so definitions vary by employer.

The nearest federal occupations are software developers and computer and information research scientists. BLS says software developers design and develop software to meet users’ needs and plan how the pieces of a system fit together. It says research scientists design and conduct experiments to test software systems and develop new tools.

An AI engineer sits between those two. You are expected to understand models well enough to improve them and to write code solid enough to deploy them.

That mix explains why programs ask for both math and programming, and why the path below puts both first. Our AI engineer salary page shows what these occupations pay.

Step 1: Which Foundations Should You Build First?

Read the admission pages of a few online master’s programs and the same list appears. Here is what schools ask for.

• Johns Hopkins University: calculus, linear algebra, probability and statistics, and Python, with a typical GPA of at least 3.0.
• Purdue University: programming experience and coursework in algorithms, calculus, linear algebra and probability for its AI and Machine Learning major.
• DePaul University: Calculus 1 and 2, a 2.5 GPA, and programming experience strengthens an application.
• San Jose State University: two or more programming courses or significant professional experience, plus data structures, algorithm design, calculus, linear algebra and statistics.
• New Jersey Institute of Technology: prior coursework in calculus, programming, data structures and algorithms, probability and statistics, and linear algebra.

So your foundation checklist is Python, data structures and algorithms, calculus, linear algebra, probability and statistics. If you can check all five, you can apply to most master’s programs on this list.

Step 2: Which Bachelor’s Degree Should You Choose?

If you do not have a bachelor’s yet, you have three kinds of options online. We list 14 bachelor’s programs in our bachelor’s ranking.

An AI engineering degree. Western Governors University’s online BS in AI Engineering charges $4,200 per six-month term and lists about 24 months, and you can finish faster to pay less.

An applied AI degree. The University of Tennessee-Knoxville’s online BS in Applied Artificial Intelligence costs $490 per credit hour in state and $565 out of state, with an estimated 48 months depending on transfer credits.

A computer science degree with an AI focus. South College and Full Sail offer one, with an AI concentration, and Full Sail’s is a degree-completion program for students with prior college credit.

University of Maryland Global Campus lists $337 per credit in state and $499 out of state for its online BS in AI, with up to 90 transfer credits accepted. If you have credits already, that cap matters.

Step 3: When Do You Need a Master’s Degree?

BLS lists a master’s as the typical entry education for research scientists. For building roles, a bachelor’s is typical. So the question is which kind of work you want.

If you want research-heavy work, a master’s is the norm. If you want to deploy systems, you can start with a bachelor’s and add a master’s later, and many working engineers do.

Online master’s programs run from about 12 months to several years. Here are paths worth comparing.

• The University of Texas at Austin: $9,990 for 30 credits, with no GRE required.
• Purdue University: $28,500 for 30 credits, 1 to 2 years full time or part time.
• University of Colorado Boulder: $15,750 on Coursera, 12 to 24 months, with performance-based admission.
• University of Pennsylvania: $38,590 for the MSE-AI, 16 months fastest or 3 years part time.

Our AI engineering ranking covers programs that focus on engineering, and the master’s ranking covers every online AI master’s we verified.

What If You Lack the Math or the Coding?

Plenty of applicants do. Several programs publish bridges, and it is worth using them before you spend on a full degree.

• DePaul University offers introductory courses in programming, data structures and statistics for students without a technical background, taken in addition to the 48 credits.
• City University of Seattle accepts a bachelor’s plus coursework in programming, networking, data management and operating systems, or its Undergraduate Certificate in Foundations of Systems Development.
• NJIT’s Graduate Certificate in AI provides a pathway into the M.S. for applicants with a STEM degree who lack some prerequisites, and a certificate GPA of 3.0 or higher guarantees admission.
• Northeastern University offers an Applied AI Connect version with nine additional credit hours of skill-building courses, at $71,079 against $30,500 for the standard version. It is for applicants without the statistics or engineering background.
• Boston University’s Computer Science and AI master’s has incoming students complete a Computer Science Bootcamp two weeks before the semester starts.

The price gap at Northeastern shows what a bridge can cost. Compare it with taking prerequisite courses at a community college or through a graduate certificate first.

Step 4: How Do You Build Experience Before Your First Job?

A degree helps you get interviews, and projects help you pass them. Many online programs build projects in, which is worth checking before you enroll.

Capstones appear in most programs we list. Duke’s has an industry partner, Maryville’s is a real-world applied project, and Boston University’s Enterprise AI capstone runs across all four semesters. Columbia’s capstone is optional and runs two semesters.

Outside your program, build things you can show. Deploy a model so someone else can use it. Write up what failed and why. A short, honest write-up of a failed project can say more about your judgment than a polished demo.

Programs that include applied work give you something concrete to talk about in an interview.

Which Programming Languages and Tools Matter?

The admission pages are a good guide, because schools only ask for what their first courses assume.

Python comes up most. Johns Hopkins, DePaul’s program notes, Indiana University’s preferred background and Brandeis’s machine learning certificate all name it. Brandeis and Indiana also accept R. The University of Arizona’s AI for Business master’s uses an entry test covering statistics, Python and SQL, so database basics help for a business-facing path.

Cloud skills show up in course content. City University of Seattle’s core covers cloud computing, and Carnegie Mellon notes that its generative AI certificate courses can carry $150 to $300 each in cloud usage costs for assignments. So expect to pay for compute in some programs and budget for it.

Version control, command-line comfort and a habit of writing tests are not on any admission page, but programs assume them. If you have never used them, learn them during your prerequisite months, not in the first semester.

What Does the Whole Path Cost?

Put the pieces side by side before you commit. These are examples from our data, not a prediction for your situation, and fees are extra.

• Bachelor’s at Dakota State, then the UT Austin master’s: $44,856 for 120 credits at $373.80, then $9,990 for 30 credits.
• WGU’s AI Engineering bachelor’s, then Purdue’s master’s: about 24 months at $4,200 per term, then $28,500.
• A bachelor’s in another field, then a bridge and a master’s: one prerequisite certificate at about $5,004 at the University of Texas at Austin, then the master’s it can stack into.

Notice that a master’s is not always the larger expense. A four-year bachelor’s can cost more than a low-priced master’s, and a bridge program at a high-priced school can cost more than either.

If you already have a bachelor’s, your biggest decision is whether you pay for prerequisites first. Our cheapest AI degrees ranking sorts programs by price, and it is a quick way to see how much room you have.

What Mistakes Should You Avoid?

Three show up often.

Applying before checking prerequisites. NJIT, Johns Hopkins and Drexel all state their expectations. Drexel requires a strong computer science background and points to its computer science certificate as an entry point. Applying without them wastes a fee, and in some cases a term.

Choosing a program by title alone. Two programs named “AI” can differ a great deal. Penn State’s master’s has an AI Engineering option and an Applied and Generative AI option, and the courses are not the same. Read the curriculum.

Skipping the format check. Some programs are synchronous, some asynchronous. If you work full time, that difference can decide whether you finish. CU Boulder’s and Georgetown’s are asynchronous, for example, and Stanford’s certificate is synchronous.

How Long Does the Whole Path Take?

It depends on your starting line.

• Starting with a related bachelor’s and the math: a master’s takes 1 to 2 years at most online schools, with some listing 12 months.
• Starting with a bachelor’s in another field: add prerequisite courses or a bridge, usually a few months to a year.
• Starting with no degree: a bachelor’s takes about 24 months at WGU if you move fast, and up to 48 months at Tennessee, then a master’s if you want one.

Work and family change these numbers. Part-time paths exist: Duke lists 24 months part time, Georgetown lists as little as one year full time with part-time scheduling, and Penn’s extended schedule runs 3 years.

Can You Do It While Working Full Time?

Many people do, and several programs are built for it. Florida Atlantic University’s professional master’s uses evening, weekend and online course formats and runs 1.5 years at $800 per credit. The University of Michigan-Dearborn schedules courses in late afternoons and evenings for part-time students who work. NJIT lists 2 years part time at 9 or fewer credits per semester.

Pace yourself honestly. A 30-credit master’s over two years is about 15 credits a year, which is a few hours of work every evening. If your job already runs long, pick a program with longer terms or a self-paced format, such as WGU’s term-based tuition, where you can move faster when life allows.

Employer help can lower the bill. Ask your human resources team about tuition benefits before you pay out of pocket. Military students should also look at program rates: UMGC lists $250 per credit for its bachelor’s military rate, and Capitol lists $875 per credit for active-duty servicemembers in its doctorates.

Where Should You Start This Week?

Pick one small action. Check whether you can list calculus, linear algebra and Python on your resume honestly. If you can, look at three master’s programs and compare the cost per credit. If you cannot, pick the foundation that is weakest and find a course for it.

Then browse the online AI engineering degrees. It lists prices and prerequisites side by side, so you can see which programs match where you are today.