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Yearly Archives: 2026

Just 29,000 Jobs Added in September — Why Markets Cheered Anyway

U.S. employers added far fewer jobs than expected in September, and the unemployment rate climbed too. Data released Friday showed the September jobs report falling well short of forecasts, raising fresh doubts about the health of the labor market just weeks before the Federal Reserve’s next interest-rate decision. Nonfarm payrolls rose by just 29,000 last month, versus the 84,000 jobs economists had expected. The unemployment rate rose to 4.2%, above expectations that it would hold at 4.1%. Stock markets still rallied on the news, as investors bet the weak numbers make a Fed rate cut more likely later this month.

A September Jobs Report That Missed Every Estimate

The September jobs report missed on every major measure economists track. Payroll growth of 29,000 came in far below the 84,000 jobs forecasters had penciled in, a gap wide enough to reset expectations for the rest of the year. The unemployment rate’s rise to 4.2% caught forecasters off guard too; most analysts expected it to hold steady at 4.1%. Yahoo Finance covered the data as part of its October 2 market wrap, noting how unusual it is for both headline numbers to miss in the same direction in a single month.

An economist quoted in that report called the data “mediocre.” The economist added, though, that the report was not “bad enough to shift the focus away from inflation” as the Fed prepares for its next policy meeting. That framing matters: it suggests the Fed’s decision later this month will still hinge heavily on price data, not on hiring weakness alone.

AI’s Mixed Footprint on the U.S. Labor Market

One market analyst described the September data as showing a “mixed” effect from AI adoption across the economy. Some industries cut jobs last month, the analyst said, while technical and specialist roles saw gains. That split helps explain why the headline payroll number came in so weak even as pockets of the labor market held up.

Job seekers reviewing listings after the September jobs report

The uneven pattern complicates any simple reading of the jobs data. A single soft headline figure can mask very different stories by sector. Some companies appear to be automating routine functions and trimming staff in those areas, while competing hard to hire specialists who build or manage that technology. The September jobs report offers only one month’s snapshot, not a trend line, so economists will watch the October and November reports closely to see whether this AI-linked split persists or fades.

Unemployment Rate Climbs to 4.2%

The unemployment rate’s move to 4.2% was the second surprise in Friday’s report. Economists had expected a steady 4.1% rate, so the uptick landed alongside the payroll miss rather than offsetting it. A rising unemployment rate paired with weak payroll growth usually points in the same direction: a labor market cooling faster than forecasters had modeled.

Investors read the unemployment rate alongside the payrolls number as confirmation that hiring demand is softening. That combination is exactly the kind of signal that moves bond markets and rate expectations, and it did so within hours of the release.

Treasury Yields Fall, Stocks Rise on Fed Rate Decision Bets

Treasury yields declined after the report, extending a move investors have been tracking since yields shifted at the end of September. Falling yields typically signal that traders expect looser monetary policy ahead, and Friday’s data pushed those bets further in that direction.

Equity markets rallied on the same logic. The Nasdaq Composite closed up 1.19% at 27,190.86. The S&P 500 gained 0.73% to finish at 7,722.72. The Dow Jones Industrial Average rose 0.49% to 51,176.96. All three moves came on October 2, the day the report was released, according to Yahoo Finance’s market wrap. Investors treated the weaker jobs data as good news for stocks because it raises the odds of a Fed rate cut.

The reaction was not confined to U.S. markets. European markets had already been shifting on similar rate expectations earlier in the week, underscoring how closely global markets now track U.S. labor data.

What the Fed Does With This Data

The Federal Reserve’s next policy meeting falls in late October 2026, according to fedratecalc.com’s FOMC meeting schedule. That timing puts the September jobs report squarely in front of policymakers as they weigh their next move.

Despite the miss, the economist quoted in the Yahoo Finance report cautioned against reading too much into one month of weak hiring. Calling the data “mediocre” rather than alarming, the economist said it was not “bad enough to shift the focus away from inflation.” In practice, that means the Fed is likely to weigh the jobs report alongside incoming inflation figures rather than treat soft hiring alone as grounds for a rate move.

Central banks elsewhere face a similar balancing act this month. Markets are also watching how the European Central Bank handles its own growth-versus-inflation tension at its October meeting.

Readers following the broader rate picture can track how European stocks and bond yields moved in the days before this report landed, and how fresh German inflation data is shaping the European Central Bank’s own October decision.

Jobs Report FAQ

How many jobs were added in September 2026?

U.S. nonfarm payrolls rose by 29,000 in September 2026, compared with the 84,000 jobs economists had expected.

What is the U.S. unemployment rate after the September jobs report?

The unemployment rate rose to 4.2% in September 2026, above the 4.1% rate analysts expected it to hold.

How did stock markets react to the September jobs report?

U.S. stocks rose on October 2, 2026. The Nasdaq Composite gained 1.19% to close at 27,190.86, the S&P 500 rose 0.73% to 7,722.72, and the Dow Jones Industrial Average rose 0.49% to 51,176.96.

When is the Federal Reserve’s next interest-rate decision?

The Federal Reserve’s October 2026 policy meeting is scheduled for late October 2026, according to public FOMC meeting calendars.

Why did Treasury yields fall after the jobs report?

Treasury yields declined as investors reassessed the odds of further Federal Reserve interest-rate moves, betting that weaker hiring data increases the chance of a rate cut.

Did AI adoption affect the September jobs numbers?

One market analyst described the data as showing mixed effects from AI adoption, with some industries cutting jobs while technical and specialist roles saw gains.

Sources

Supreme Court Takes Up Trump Immigration Detention Policy

The Supreme Court immigration detention case will decide whether people held by ICE can ask a judge for a bond hearing. The justices agreed on 1 October 2026 to review the Trump administration’s policy of detaining many immigrants without bond, according to Stateline and NBC Los Angeles. No date for oral argument has been set.

In this report

What the Supreme Court agreed to hear

The court will decide whether immigrants arrested inside the United States have a statutory or constitutional right to a bond hearing while their deportation cases proceed. NBC Los Angeles reported that the question reaches the court on a challenge brought by the ACLU, which says the outcome could affect millions of noncitizens.

Stateline identifies the case as Ricardo Barbosa da Cunha, an appeal from the 2nd U.S. Circuit. The administration put the policy in place in July 2025. It requires detention without a bond hearing for people arrested by ICE who crossed the border illegally, regardless of how long ago the crossing happened.

A deep split among the appeals courts

Stateline counts nine appeals courts against the policy, including the 2nd, 3rd, 4th, 6th, 7th, 9th, 10th and 11th circuits, and two in favour: the 5th Circuit, covering Louisiana, Mississippi and Texas, and the 8th Circuit in the Midwest. The same report says lower courts have rejected the policy more than 20,000 times, including judges appointed by Republican presidents.

The 2nd Circuit wrote that the policy would create “the broadest mass detention-without-bond mandate in our Nation’s history for millions of noncitizens.” The administration, for its part, argues that the split produces “an unworkable patchwork of inconsistent immigration enforcement” and that the 1996 immigration law supports mandatory detention.

Why bond hearings matter

A bond hearing is the point at which an immigration judge decides whether a person can wait out their case at home. Without one, detention lasts as long as the case does. A Bloomberg Law report from May put the detained population above 60,000 as of early April 2026, up from roughly 48,000 a year earlier, and quoted Georgetown Law professor Denise Gilman on what is at stake: “basic physical liberty”.

Stateline adds a caution for both sides. A ruling for the administration could entrench detention. A ruling against it would not guarantee release, because judges could still deny bond on flight-risk grounds.

What it means for people with a long US history

Consider a hypothetical case: a Mexican welder who crossed without papers a decade ago, has a steady job and family, and is arrested at a traffic stop. Under the policy as reported, he would not get a bond hearing even though he was arrested far from the border and long after entering. Under the approach most appeals courts have taken, he could ask a judge to weigh whether he is a danger or a flight risk.

That illustration is not a prediction about any real person. It shows why the date of entry and place of arrest are central to the dispute. For related changes affecting people already in the US, see our coverage of the duration-of-status injunction for F-1 students and the narrowed USCIS filing deadline extension.

What happens next

With no argument date set, a decision is unlikely in the immediate term. Until the court rules, outcomes continue to depend on the circuit where a person is held, which is exactly the patchwork the administration says it wants the justices to end. Anyone affected should speak to a licensed immigration attorney about their circuit and facts; this article is news, not legal advice. People planning travel or applications can also use the official guidance in our diversity visa update.

Questions about the detention case

Has the Supreme Court decided the case?

No. The court agreed on 1 October 2026 to hear it. No oral argument date has been announced, according to Stateline.

What is the policy being challenged?

A policy in effect since July 2025 that requires detention without a bond hearing for people arrested by ICE who crossed the border illegally, regardless of how long ago.

Which courts have ruled for the administration?

Stateline reports the 5th and 8th circuits have backed the policy, while nine other appeals courts have ruled against it.

Does a loss for the administration mean release?

Not automatically. Stateline notes judges could still deny bond on flight-risk grounds even if bond hearings are required.

Who is challenging the policy?

NBC Los Angeles reports the ACLU represents the plaintiffs.

Follow our immigration coverage for the next filing in the case, and see our report on US sanctions policy for other Washington developments this week.

Nvidia Hits $5.7 Trillion — Even a Weak Jobs Report Couldn’t Stop It

Nvidia stock jumped to a fresh intraday high on Friday, October 2, 2026, and the Nvidia market value surge pushed the chipmaker’s total worth above $5.7 trillion. The rally came the same day the U.S. government released a weak September jobs report. Soft hiring data usually rattles markets. This time, investors kept buying AI-related stocks instead, treating chipmakers as a safer bet for growth than the broader economy. Nvidia shares touched an intraday peak of $237.88, according to Yahoo Finance. The move extended a run that started a year earlier, when Nvidia first closed above $5 trillion in market value in October 2025. Friday’s figure marks a new, higher milestone, not a repeat of that earlier one.

Nvidia Market Value Surge By The Numbers

The broader market also had a strong day. The Nasdaq Composite rose 319.27 points, or 1.19%, to close at 27,190.86. The S&P 500 added 56.27 points, up 0.73%, to finish at 7,722.72. The Dow Jones Industrial Average gained 250.40 points, or 0.49%, to close at 51,176.96, according to Yahoo Finance. An intraday high reflects the peak price reached while markets are open, even if a stock closes lower by day’s end. Market capitalization, in turn, measures a company’s total value by multiplying its share price by its total number of outstanding shares — the yardstick investors use to judge company size.

Nvidia’s move stood out even against those gains. Hitting $237.88 a share pushed its total market capitalization past $5.7 trillion, a level no public company had reached before. Investors kept adding to AI-related positions throughout the session, and Nvidia led much of that buying. Because Nvidia ranks among the largest companies in the world by market value, its swings carry outsized weight across broad indexes like the Nasdaq and the S&P 500.

AI Chip Demand Fuels Nvidia’s Market Surge

Demand for AI chips has stayed strong through 2026, and that demand sits behind most of Nvidia’s gains this year. Data center operators, cloud providers and AI developers continue to order Nvidia’s chips faster than rivals can match capacity. That demand has also lifted companies that supply Nvidia’s ecosystem, from memory makers to software partners. Micron’s latest earnings pointed to a broader AI memory boom, a sign the chip rally extends well beyond Nvidia alone. Analysts and investors alike are watching how long that order backlog can hold up, since it underpins much of the optimism behind Nvidia’s valuation this year.

Nvidia market value surge reflected on a stock market trading screen

Nvidia has also worked to broaden its footprint beyond raw chip sales. Last week, the company launched an open agent safety platform aimed at AI developers, part of a broader push to stay central to how companies build and deploy AI systems, not just the hardware that runs them. That kind of move matters because it ties Nvidia’s business more tightly to software and services, not only to chip orders that can slow in any given quarter.

Blackwell Chip Deals Behind Nvidia’s Valuation Surge

Friday’s $5.7 trillion figure builds on a milestone Nvidia reached almost exactly a year earlier. Nvidia first closed above $5 trillion in market value on October 29, 2025, according to a separate Yahoo Finance report from that date. That milestone followed comments from President Trump about discussing export approval for Nvidia’s Blackwell AI chips with CEO Jensen Huang.

Nvidia also announced a slate of deals at a Washington D.C. event around that time. The agreements included seven new U.S. Department of Energy supercomputers built with 10,000 Blackwell GPUs, a self-driving-car partnership with Uber, and agreements with Eli Lilly, Nokia, Oracle, Palantir and telecom firms on 6G research. Those deals touched government computing, autonomous vehicles, pharmaceutical research, telecom infrastructure and cloud software all at once, which showed how far Nvidia’s chips had spread beyond data centers. That breadth, visible a year before this week’s $5.7 trillion milestone, helped set the stage for the sustained demand that has carried Nvidia’s valuation higher since.

China Export Rules Still Shadow Nvidia’s Market Value

Chip export policy toward China remains an open question for Nvidia. In July 2025, the White House struck a deal that would allow Nvidia’s H20 chip to reach Chinese customers in exchange for a 15% revenue-sharing arrangement with the U.S. government. A revenue-sharing arrangement like this one would have Nvidia share a cut of certain China sales with the U.S. government in exchange for export approval — a structure not typically used in chip export policy. As of the October 2025 report, that arrangement had not been formalized, and Nvidia reported zero H20 sales to China in its most recent quarterly report at the time.

A year on, the underlying tension has not gone away. Export rules shape how much of the Chinese market Nvidia can actually reach, and Chinese chipmakers have not stood still while the rules stay unsettled. DeepSeek and Huawei have been building their own chip tools, an effort to reduce China’s reliance on Nvidia hardware regardless of how Washington’s export policy eventually settles.

Where Nvidia’s Rally Goes From Here

Friday’s rally came against a backdrop of economic uncertainty. The September jobs report showed nonfarm payrolls rose by just 29,000, far short of the 84,000 economists had expected, while unemployment held at 4.2%. That weak data pushed Treasury yields down, and investors moved into AI-related stocks that still look like a dependable growth story.

That pattern raises a real question: can AI-related stocks keep absorbing investor money every time other economic signals look shaky? For now, Nvidia’s position looks firm. Strong AI chip demand, a widening set of partnerships, and no sign of slowing orders all support the stock’s current levels. The unresolved China export question remains the clearest risk on the horizon, along with how long investors will keep treating AI stocks as a safe harbor from a cooling jobs market.

Nothing about Friday’s numbers guarantees where the stock goes next. Markets can reverse quickly, and a single trading session rarely settles a longer debate about valuation. What Friday did show is that, for now, AI chip demand has enough momentum to override a weak jobs report, at least for one of the world’s most closely watched stocks. Readers tracking the AI chip supply chain can follow the related threads above on Micron’s memory earnings, Nvidia’s new safety platform, and the Chinese chipmakers racing to catch up.

Nvidia’s Rally: Quick Answers

What pushed Nvidia’s market value past $5.7 trillion?

Nvidia shares hit an intraday peak of $237.88 on October 2, 2026, pushing its total market value above $5.7 trillion. Strong AI chip demand drove the move, even as a weak U.S. jobs report cooled other parts of the market.

When did Nvidia first reach a $5 trillion valuation?

Nvidia first closed above $5 trillion in market value on October 29, 2025, a year before this week’s $5.7 trillion milestone.

What drove Nvidia’s earlier $5 trillion milestone?

Comments from President Trump about discussing export approval for Nvidia’s Blackwell AI chips with CEO Jensen Huang helped drive that milestone, along with a slate of deals Nvidia announced in Washington D.C., including Department of Energy supercomputer orders, a self-driving-car partnership with Uber, and agreements with Eli Lilly, Nokia, Oracle, Palantir and telecom firms.

What is the status of Nvidia’s H20 chip sales to China?

In July 2025, the White House struck a deal allowing Nvidia’s H20 chip to reach China in exchange for a 15% revenue-sharing arrangement with the U.S. government. As of the October 2025 report, that arrangement had not been formalized, and Nvidia had reported zero H20 sales to China in its most recent quarterly report.

How did the broader stock market perform on October 2, 2026?

The Nasdaq Composite rose 1.19% to 27,190.86, the S&P 500 gained 0.73% to 7,722.72, and the Dow Jones Industrial Average rose 0.49% to 51,176.96.

Why did stocks rally despite weak jobs data?

The September jobs report showed nonfarm payrolls up just 29,000, versus 84,000 expected, with unemployment at 4.2%. That weak data pushed Treasury yields down, and investors shifted toward AI-related stocks as a safe haven for growth exposure.

Sources

ChatGPT Will Now Show You Wearing the Clothes Before You Buy

OpenAI rolled out a ChatGPT virtual try-on feature this week. It gives users a way to see clothing on their own photo before buying it. The company announced the tool on Thursday, October 1. A second new feature, called Favorites Library, launched alongside it. Both additions build on ChatGPT’s existing shopping results. Together they mark OpenAI’s latest push to turn the chatbot into a shopping assistant, not just a search tool for products.

With the new tool, a user uploads a selfie or a full-body photo. A “Try On” button then appears next to items in ChatGPT’s shopping results. Tap it, and ChatGPT generates an image showing that person wearing the item. Users are not limited to products ChatGPT surfaces on its own. They can also upload a photo of an item instead, such as a screenshot from a retailer’s website. ChatGPT will then simulate that item on them, using the uploaded photo as the base image.

ChatGPT can go further than a single try-on, too. A user can describe a style they want. ChatGPT will then shop for matching pieces across retailers. The chatbot can also identify clothing in a photo, such as an outfit a celebrity wore. From there it helps the user find similar items to buy.

How the ChatGPT Virtual Try-On Feature Works

The try-on tool sits inside a normal ChatGPT shopping conversation. It is not a separate app. Once a user uploads a reference photo, the “Try On” button appears next to eligible products automatically. Selecting it triggers an image-generation step. ChatGPT then returns a picture of that person, or body type, wearing the selected item.

ChatGPT virtual try-on feature shown on a smartphone shopping app

This two-way flexibility sets the feature apart from a basic size chart or fit guide. A user can start from OpenAI’s own shopping results or from their own screenshot of a product. Either way, the feature depends heavily on image quality. A poor render would undercut the whole point of trying something on before buying it.

Images 2.5 Powers the New Try-On Tool

The try-on tool and Favorites Library both run on Images 2.5. OpenAI released this new image-generation model alongside the shopping update. OpenAI says the model produces more natural lighting than its predecessor. It also says Images 2.5 renders richer textures and follows editing instructions more reliably. Generation latency has also come down, OpenAI says, so a try-on image should appear faster than before. Faster, more instruction-accurate generation matters for a feature built around back-and-forth edits, such as asking ChatGPT to show an item in a different color or fit.

Image quality and speed matter more for shopping than for many other ChatGPT tasks. A try-on image that looks obviously fake is unlikely to change anyone’s purchase decision. One that takes too long to generate carries the same risk. OpenAI is betting that Images 2.5 clears that bar well enough to make virtual try-on a feature people actually use.

A Favorites Library for Saved Looks

Favorites Library gives users a place to save products they find while chatting with ChatGPT. Saved items sit alongside any try-on images generated for them. A user can return later to compare looks or revisit something they considered buying earlier. OpenAI has not said how long saved items stay available. It has also not said whether the library syncs across devices. For now, OpenAI describes it simply as a new library for saved products and try-on images, built to sit next to the try-on tool rather than as a standalone feature.

AI Shopping Features Have Had a Mixed Run So Far

The virtual try-on launch follows an earlier OpenAI feature called Instant Checkout. That tool let users complete purchases directly inside ChatGPT. Instant Checkout launched earlier in 2026. It did not gain significant traction. OpenAI has not said whether virtual try-on is meant to revive interest in in-chat shopping generally, or whether it will stand on its own regardless of how people check out.

OpenAI is not the first company to offer this kind of tool. Google introduced a comparable virtual try-on feature in its own shopping products back in 2025. The rivalry between OpenAI and Google now extends across AI shopping tools, not just general-purpose models. Both companies are pushing to make their chatbots useful for everyday purchases, not just information lookups. Neither company has said how the two try-on approaches compare directly, since each relies on its own image-generation system and its own retail partnerships.

Virtual try-on also lands at a moment when OpenAI has been reassessing its own product lineup. The company’s recent decision to cancel another in-progress product shows OpenAI narrowing its roadmap, even as it adds consumer tools like this one. AI shopping and agent-style features are also drawing closer regulatory attention. A separate regulatory probe into AI agents acting on users’ behalf is already underway. It is a reminder that tools letting a chatbot shop, recommend, and now visualize purchases on a user’s own photo sit in an area regulators are watching more closely.

What’s Next for ChatGPT Shopping

OpenAI has not published a roadmap beyond this week’s announcement. The company has not said whether virtual try-on will expand beyond clothing, to categories like furniture or accessories. It also has not said whether Favorites Library will add sharing or sorting tools later. And OpenAI has not explained how virtual try-on interacts with Instant Checkout for someone who wants to try on an item and buy it in the same conversation.

What is clear is that OpenAI keeps investing in shopping as a ChatGPT use case, even after Instant Checkout’s slow start. Whether virtual try-on performs differently will depend on how realistic the Images 2.5 renders look to ordinary users. It will also depend on whether a try-on image is convincing enough to actually influence a purchase, rather than simply being a novelty people try once.

ChatGPT Shopping: Your Questions Answered

What is the ChatGPT virtual try-on feature?

It is a tool OpenAI added to ChatGPT that generates an image of a user wearing a clothing item, based on a selfie or full-body photo the user uploads.

How do I use virtual try-on in ChatGPT?

Upload a selfie or full-body photo in ChatGPT, then look for the “Try On” button next to items in shopping results. Selecting it generates the try-on image.

Can I try on an item from a store I found myself?

Yes. Users can upload a photo of an item, such as a screenshot from a retailer’s website, and ChatGPT will simulate that item on them instead of only using its own shopping results.

What is Favorites Library?

Favorites Library is a new ChatGPT feature that lets users save products they find, storing them alongside any try-on images generated for those items.

What model powers the new ChatGPT shopping features?

Both features run on Images 2.5, an image-generation model OpenAI says produces more natural lighting, richer textures, more reliable instruction-following, and lower generation latency than its predecessor.

Is this OpenAI’s first shopping feature in ChatGPT?

No. OpenAI launched Instant Checkout, a feature letting users complete purchases inside ChatGPT, earlier in 2026, though it did not gain significant traction.

For more on the companies racing to build AI shopping tools, see our coverage of Google’s own AI push, OpenAI’s recent product decisions, and the regulatory scrutiny facing AI agents.

Sources

Two Scholarship Deadlines, Days Apart: Chevening and DAAD in October

The DAAD scholarship deadline for most master’s and PhD awards starting in 2027 falls on 15 October 2026, according to the uni2study deadline calendar. Chevening, the UK government’s scholarship, closes sooner, at 11:00 UTC on 6 October. If you plan to apply for either, you have days, not weeks.

On this page

The DAAD scholarship deadline and how it works

The German Academic Exchange Service, known as DAAD, funds study and research in Germany. uni2study says most master’s and PhD scholarships for entry in 2027 close on 15 October 2026, and some programmes run later into October. That is a secondary source, so treat the date as a guide and check your own programme.

DAAD says on its site that you can find the various scholarship types and suitable offers in its scholarship database. Use that database to confirm the exact closing date and required documents for the award you want. See the DAAD scholarship pages.

Chevening closes first: 6 October

Chevening’s own timeline for the 2027/28 cycle is clear. Applications opened on 4 August 2026 and close on 6 October 2026 at 11:00 UTC. Late submissions are not accepted. Eligibility screening begins in October, and a reading committee reviews applications from October to January.

Shortlisted candidates are told in mid-February 2027, interviews run from March to April at British embassies, and results come in mid-June 2027. Scholars would start in the UK in September or October 2027. See the Chevening application timeline.

For more on the Chevening process, read our guide to the Chevening 2027-28 timeline.

DAAD scholarship deadline - Heidelberg old town on the Neckar at dusk

A realistic plan for the next two weeks

Start with documents. Most scholarships ask for transcripts, references, a personal statement and proof of language skills. These take time to collect, and referees need notice.

To illustrate, picture a Vietnamese engineering graduate comparing a master’s in Germany with one in the UK. They would list each award’s deadline, check the language requirement, and begin with the earliest closing date. This is a hypothetical example, not a real applicant.

Do not leave submission to the last hour. Chevening says its deadline is fixed, and the same discipline applies to DAAD.

Other scholarship rounds to watch

Erasmus Mundus Joint Masters are different. uni2study notes that each consortium sets its own timeline, and deadlines run from November 2026 to February 2027. There is no single central date, so check each programme page.

Also see the Cambridge route in our guide to Gates Cambridge 2027 deadlines. If you are weighing countries and visa routes, our visa eligibility checker is a quick place to start.

Questions on the DAAD scholarship and Chevening

When is the DAAD scholarship deadline?

uni2study says most master’s and PhD scholarships for 2027 entry close on 15 October 2026. Some programmes run later. Confirm your own programme with DAAD.

When does Chevening close?

Chevening closes on 6 October 2026 at 11:00 UTC. Late submissions are not accepted.

When are Chevening results announced?

Chevening lists mid-June 2027 for results, with interviews in March and April 2027.

Are Erasmus Mundus deadlines the same?

No. Each consortium publishes its own timeline, with deadlines between November 2026 and February 2027, according to uni2study.

Where do I find DAAD scholarships?

DAAD says its scholarship database lists the scholarship types and suitable offers.

Sources

Image: Heidelberg old town, castle and Old Bridge, photo by R. J. Mathar, Wikimedia Commons, licensed CC BY-SA 4.0. Second image: evening view of Heidelberg old town and the Neckar, photo by Hartmut Schmidt Heidelberg, Wikimedia Commons, licensed CC BY-SA 4.0.