UC Berkeley Launches New AI and Machine Learning Masters for Fall 2027 Intake

The University of California, Berkeley has announced a new Master’s degree in Artificial Intelligence and Machine Learning for the Fall 2027 intake. The launch, confirmed on August 25, 2026, gives Indian applicants a fresh dedicated AI track at a top US public research university. Berkeley will run the programme through its computing and engineering divisions. It joins existing AI-branded Master’s degrees at Stanford, CMU and MIT.

• The programme opens for Fall 2027 admission, with applications expected to follow Berkeley’s standard graduate cycle that closes in December 2026.
• Indian students form one of the largest international cohorts at Berkeley’s engineering and data science schools, making the launch materially relevant for the current application year.
• Berkeley confirmed the degree will sit alongside its existing EECS Master’s routes rather than replace them, per the August 25, 2026 announcement.

Berkeley already runs an MEng in EECS with an AI concentration and an academic MS in EECS. A standalone AI and ML Master’s tightens the pitch for applicants who want the field named on the transcript, not folded into a broader EECS degree.

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What UC Berkeley Announced on August 25, 2026

The August 25, 2026 notice confirms a new taught Master’s in Artificial Intelligence and Machine Learning at UC Berkeley. The first cohort will enter in Fall 2027. The university has said the degree will be offered through its computing and engineering faculties. The exact department host, credit structure and class size have not been detailed in the announcement.

Berkeley has not published the full curriculum, fee schedule or specific application deadlines for this programme. Applicants should track the Berkeley Graduate Division admissions page and the hosting department’s site for the formal opening.

How the New Master’s Sits Against Berkeley’s Existing Routes

Berkeley currently offers two main graduate paths in the AI and computing space. Indian applicants often confuse them. The new AI and ML Master’s adds a third distinct option.

Length, thesis requirement and internship rules for the new programme have not been published. The source does not specify credit hours or whether a capstone will be mandatory.

Why This Matters for Indian STEM Applicants

The United States remains the single largest destination for Indian graduate students. Berkeley is one of a small group of US universities that consistently draws Indian applicants aiming at AI research and applied ML roles. A new named AI degree tightens the competitive set against Stanford’s AI-focused MS tracks, CMU’s MSCS and MSML, and MIT’s EECS Master’s.

The degree also matters for STEM OPT. Named AI and ML Master’s degrees fall on the Department of Homeland Security STEM designated degree list, which unlocks a 36-month post-completion work window in the US.

What Will the Fees and Cost of Study Look Like?

Berkeley has not released a specific tuition figure for the new AI and ML Master’s. Nonresident graduate tuition at UC Berkeley for professional degrees has run in a wide band across programmes, and the university sets each degree separately. The source does not specify the new programme’s tuition, fees or scholarship pool.

Indian applicants should still plan for the full US Master’s cost stack when budgeting. This typically includes tuition, mandatory campus fees, health insurance, living costs in the Bay Area, and the F-1 visa and SEVIS charges.

At today’s exchange rate of about ₹87 per US dollar (August 2026), every $10,000 of programme cost equals roughly ₹8.7 lakh. A two-year US Master’s in the Bay Area, tuition plus living, has historically cleared $120,000 at private peers, which is ₹1.04 crore at current FX. Berkeley’s public status has usually kept the sticker below that ceiling, but the new programme’s rate is still to be confirmed.

How Do Indian Students Apply for Fall 2027?

Berkeley has not published the specific application portal or deadline for the new AI and ML Master’s. Applicants should assume the university’s standard graduate cycle for Fall entry, which historically opens in September and closes in early to mid December for the following Fall.

The typical Berkeley graduate application stack for Indian students includes:

• A completed online application through the Berkeley Graduate Division portal
• Official transcripts from every undergraduate institution attended
• A statement of purpose and a personal history statement
• Three letters of recommendation
• English proficiency scores, typically TOEFL or IELTS, for applicants whose undergraduate degree was not taught in English
• GRE, only if the hosting department requires it for this degree

The source does not confirm whether the new AI and ML Master’s will require the GRE. Indian applicants should book test slots early either way because Bay Area universities close their reading windows quickly once the December deadline hits.

Action Plan for Indian Applicants Targeting Fall 2027

1. Bookmark the Berkeley Graduate Division admissions page and set an alert for the new AI and ML Master’s listing.
2. Lock in an IELTS or TOEFL score by October 2026 so results reach Berkeley well before the December window.
3. Line up three recommenders now, ideally one professor and two who have supervised AI, ML or data science work.
4. Draft a statement of purpose tied specifically to the AI and ML degree, not a generic EECS pitch.
5. Start the F-1 student visa preparation checklist and financial documentation the moment an offer letter arrives, given current US consular wait times in India.

Indian applicants who already have a Stanford, CMU or MIT AI application in draft can port most of the material across. The extra work is mainly the Berkeley-specific personal history statement and a fresh statement of purpose paragraph on why the AI and ML degree, not the EECS route.

The Fall 2027 Berkeley cycle is the first live opportunity to enter this new degree. Missing the December 2026 window means waiting a full year for the Fall 2028 intake. Applicants targeting a US AI Master’s next year should treat the coming three months as the planning runway, not the application month itself.