// Warm-up · Pattern recognition

What comes next?

This is a look-and-say sequence. Read each number aloud — literally — to discover how it builds the next. Pick the line that follows 111221.

1
11
21
1211
111221
?

Exactly right.

You read 111221 as "three 1s, two 2s, one 1" → 312211. You just described numbers the way a machine does. That's called a Look-and-Say sequence. Remember it — you're going to spend the next two years thinking like this. It's the same instinct behind feature engineering, tokenisation, and every LLM you'll build with next year. Pattern-thinkers build the future.

Live scenario · Cohort Week 3

You have 48 hours, a laptop, and access to public data.

Pick the project:

Project A
Predict which neighbourhood in Berlin will gentrify next
Use real estate data, demographic shifts, and ML models to spot the next up-and-coming area before the coffee shops arrive.
ML · Python · SQL
Project B
Find out if Mercury in retrograde actually correlates with stock market dips
Pull historical market data, map it against astrological cycles, and let the numbers tell you whether the universe is actually messing with your portfolio.
LLMs · Product · Strategy
Project C
Build something that tells you the exact moment to leave a party
Combine social signals, music BPM, and crowd sentiment to build an AI that knows when the vibe has peaked — and it's time to go.
Analytics · Business · Decisions
Signal confirmed

Good choice.

Instinct isn't the opposite of data — it's compressed pattern recognition. The fact that you didn't hesitate says more about your readiness than any transcript. Now let's see how you think under pressure.

gisma@berlin ~ /admissions/2026
>almost there.
>you solved a sequence mathematicians call beautiful.
>you made a decision with incomplete information in under five seconds.
>you kept going when most people would have closed the tab.
>that's not a personality quiz result. that's a data point.
>and it's exactly the profile we designed this programme for.
>one question left.
>are you in?
// Signal · Project A

You see inefficiency as a puzzle waiting to be solved. That's exactly the mindset we build here — data-driven, systems-thinking, impact-first.

This is how your mind works. We want to develop it further.

// Signal · Project B

You're drawn to human behaviour at scale. The intersection of people and data is where the most powerful insights live.

This is how your mind works. We want to develop it further.

// Signal · Project C

You think in patterns and exceptions. That's rare. That's valuable. That's what AI needs most.

This is how your mind works. We want to develop it further.

Welcome to GISMA

MSc Data Science, AI & Digital Business.

Gisma University of Applied Sciences.

Berlin and Potsdam, Germany. Two years. Taught in English. Starting 2026.

> here's what you're signing up for.

Explore the Programme
18 months · Full-time STEM-Designated Intakes: Oct · Feb · Jun
The programme

Where this MSc takes you — across roles, sectors, and a life rebuilt around what you can actually do.

Roles

ML Engineer
Data Scientist
AI Specialist
ML Scientist
Data Architect
BI Developer
Enterprise Architect
Data Analyst

Sectors

Technology
Financial Services
Healthcare
Manufacturing
Start-ups
Consulting
Your own venture

The curriculum is built around these.

The Companies

Our graduates are already inside.

BOSCH
ZALANDO
DELOITTE
SIEMENS
UPS
TI
SAFRAN
106

recent graduates placed at top 20 global companies

The Career Centre

From enrolment to employment.

BEFORE YOU GRADUATE

Skills Sprint Week

A quarterly intensive working on real briefs from real companies. Not simulations. Actual problems.

WHILE YOU'RE STUDYING

Personal career coaching

CV reviews. Interview prep. LinkedIn strategy. One-on-one, not group sessions.

AFTER YOU FINISH

Ongoing support

The Career Centre doesn't close when you graduate. Job search support, company introductions, and a network that's still growing.

See the Career Centre →

The German Advantage

A degree. A head start in Germany.

18 months

Post-study work visa

After graduation, Germany gives you 18 months to find a role that matches your qualification — not a few weeks. Time to land somewhere that's actually right.

German, available

Language unlock

Programmes are taught entirely in English. If you want to add German, our optional add-on course gets you to a working level — and unlocks roles English-only candidates can't reach.

Learn more →

Germany's tech corridor

Berlin and Potsdam

You're studying inside the ecosystem that built Zalando, N26, and Europe's largest SAP footprint. Internships, hires, and side projects happen here — not in another city you'll have to relocate to.

Alumni

People who were exactly where you are.

Early in my career I was leading experienced engineers on a core project. That experience shaped everything. The combination of strategic thinking and real-world application I developed at Gisma — that's what got me here.

MP
Mafalda Prisco
Senior Product Manager, Ledgy
MSc Innovation, Strategy & Entrepreneurship
More alumni stories →

Entry Requirements

What you need to get in.

A recognised undergraduate degree
IELTS 6.5 overall — no band below 6.0
No GMAT
No years of work experience required

If you have the drive, we have the programme.

The numbers

The signal in the data.

What the cohort, the outcomes, and the city actually look like.

// Outcome
94%

Employed or in further study within 6 months of graduation.

// Cohort
42

Nationalities represented across the current student body.

// Salary
€62k

Median starting salary for graduates entering the German tech market.

// Industry
120+

Hiring partners across Berlin, Frankfurt, Munich and the wider EU.

The German advantage

Why Berlin. Why now.

Germany is the largest tech and engineering economy in Europe — and Berlin is its data capital.

18-month job-seeker visa

After graduation you get up to 18 months in Germany to find a role that matches your qualification.

STEM-designated MSc

Recognised across the EU and beyond — a credential that opens doors in regulated and technical industries.

Berlin's tech density

Home to SAP, Zalando, N26, Delivery Hero, and thousands of AI-first startups — all within commute distance.

Affordable, English-taught

Lower cost of living than London or Paris, and the entire programme is delivered in English.

EU passport for your career

A German degree opens hiring across all 27 EU member states without further accreditation.

Industry-embedded faculty

Lecturers who ship code, run teams, and build companies — not just publish papers.

Entry requirements

What you need to apply.

Straightforward, transparent, and reviewed individually. No surprises.

01

Bachelor's degree

An undergraduate degree (or international equivalent) in any discipline. Quantitative backgrounds are welcomed but not required.

02

English proficiency

IELTS 6.5, TOEFL iBT 87, or equivalent. Waivers available if your prior degree was taught in English.

03

CV & motivation statement

A current CV and a short statement (around 500 words) on why this programme, and why now.

04

Admissions interview

A 30-minute conversation with our admissions team. We're looking for curiosity, clarity, and grit — not perfect answers.

Enquire now

Start the conversation.

Tell us a little about you. Our admissions team will be in touch within one business day.

// We respond within one business day.