On-campus program Analytics and Artificial Intelligence (M.Sc.) – ESMT Berlin

👉 The Master’s programme in Analytics and Artificial Intelligence at ESMT Berlin is aimed at young professionals with 0 to 3 years of work experience who wish to combine analytical skills with business strategy. The 24-month full-time course imparts knowledge in machine learning, data management, and econometrics, and fosters the ability to responsibly apply data and AI-driven insights in business decisions. Students can choose from over 35 electives, obtain a Finance and Investment Certificate, and gain practical experience through internships, international exchange programmes, and consultancy projects. The MSc degree qualifies graduates for leadership roles at the intersection of technology, data analysis, and business.

At a Glance

🏫 University European School of Management and Technology, University based in Berlin (Germany)
The European School of Management and Technology (ESMT Berlin) is a private business school with the right to award doctorates, founded in Berlin in 2002 by 25 German companies and associations. It offers English-language master's, MBA, and Ph.D. programs as well as management development programs, and is nationally (FIBAA) and internationally accredited (Triple Crown). Its campus is located in the historic State Council building in Berlin-Mitte.
📋 Study Format On-campus program
🎓 Field of Study Information SciencesData Science & AI
📜 Degree Master of Science (M.Sc.)
⏳ Duration 4 Semesters
🎯 ECTS 180 Credit Points
🌍 Language of Instruction English
📖 Course contents Here are the given data translated into English (en-GB): Machine learning, Data management, Econometrics, Decision science, Python, R, SQL, Tableau, Cloud technologies, Analytics consulting project, Leadership, Analytics project management, Talent management, Generative AI, Machine learning for NLP, Cloud computing, Negotiation Clinic, Communication & Presentation Clinic, Corporate Impact Lab, Skills seminars, German language classes
📚 Electives Global Corporate Management, Innovation, Finance
📍 Location Berlin
📅 Enrollment Winter semester
💶 Fees
from 35000 € total
🔗 More Info View Vendor Profile

Who is the Master’s in Analytics and Artificial Intelligence at ESMT Berlin suitable for?

The Master’s programme “Analytics and Artificial Intelligence” is aimed at young university graduates who are seeking a career at the intersection of data analysis, artificial intelligence, and business management. The target group primarily includes early-career professionals in their twenties with initial experience (0–3 years after graduation) and a strong interest in data science, analytics, innovation, or digital business models. Particularly addressed are graduates with a quick grasp of technological trends, enthusiasm for complex data work, and the desire to combine analytical problem-solving skills with entrepreneurial thinking.

Formal admission requirements: What do you need to provide for admission?

  • Completed Bachelor’s degree or an equivalent first university degree (all fields of study possible; quantitative and analytical components are advantageous)
  • Proof of strong quantitative skills – for example, through relevant modules in the first degree or standardized tests (BAT, GMAT or GRE are required depending on profile)
  • English skills at a high level (demonstrated by TOEFL, IELTS or completion of an English-language degree)
  • 0–3 years of professional experience after the first degree (up to 5 years are assessed on a case-by-case basis)
  • Fully completed online application including essays and at least one letter of recommendation
  • Application already possible in the final bachelor semester (submission of transcript or grade overview required)

Personal requirements and interests
You should bring analytical problem-solving skills, scientific-critical thinking and attention to detail. A good sense for technological developments, openness to interdisciplinary work, and curiosity about the responsible application of data and AI are essential. The programme requires initiative, willingness to learn as well as communication and teamwork skills – especially in international, diverse groups. Experience with data, programming skills (for example in Python or R) and initial practical insights in relevant fields are helpful but not mandatory.

What course content awaits you in the Master’s in Analytics and Artificial Intelligence?

In the Master’s programme Analytics and Artificial Intelligence at ESMT Berlin, you will learn how to strategically apply data analysis, machine learning, and artificial intelligence at the intersection of business and technology. The curriculum combines analytical depth with practical business applications:

  • Core modules on data management, machine learning, and decision theory provide you with the fundamentals to solve complex business problems using data-driven approaches.
  • Practical application of tools such as Python, R, SQL, Tableau, and cloud technologies as well as optional certificates from Amazon or DataCamp.
  • Deepening of analytical methods and insights into modern frameworks for decision-making, bias assessment, and responsible AI.
  • Interdisciplinary electives in areas such as global corporate management, innovation, and finance allow you to tailor your studies according to your own interests.
  • Targeted training in leadership, communication, and negotiation skills through workshops, clinics, and a corporate impact lab with practitioners from industry.
  • Mandatory practical professional components such as an analytics consulting project, a research project with real datasets, or a three-month internship in Germany or abroad.
  • Opportunity to earn a Finance & Investment Certificate through additional specialised modules.

Graduates acquire skills in developing analytical mindsets, responsible handling of AI technologies, team leadership, and managing data-driven projects.

How is the Master’s programme structured?

The Master’s in Analytics and Artificial Intelligence at ESMT Berlin is designed as a full-time on-site programme with a standard duration of 24 months. The language of instruction is English. The structure enables you to combine compulsory and elective modules as well as practical learning:

  • Year 1: Foundational modules in analytics, AI, management, core skills seminars, and the start of electives. Parallel project work and participation in skills seminars (e.g., Analytics Project Management).
  • Year 2: Advanced and deepening electives, possibly preparation for the finance specialisation, completion of communication and leadership clinics, and execution of an individual consulting or research project.
  • Mandatory internship (3–6 months) in companies or organisations in Germany or abroad.
  • Option for an exchange semester abroad at one of more than 20 international partner universities.
  • Completion by a Master’s thesis, which can be oriented towards a practical project or individual research interest.

You benefit throughout the programme from close-knit career coaching and individual development opportunities – including access to the honours track for high-performing students.

What career opportunities does the Master’s in Analytics and Artificial Intelligence offer?

With an MSc in Analytics and Artificial Intelligence, you open the door to a broad, future-oriented job market. The combination of analytical expertise, AI understanding, and practical business know-how prepares you specifically for roles across various industries:

  • Data Scientist, Machine Learning Engineer, or Data Analyst in companies
  • Business Intelligence Manager, Data & AI Consultant, or AI Product Owner
  • Leadership positions in the fields of digitalisation, innovation management, and corporate strategy
  • Influential roles in start-ups, international tech firms, consultancies, financial institutions, industry, and commerce
  • Responsible activities involving AI integration, data ethics, and corporate digital responsibility

The Berlin location offers excellent prospects for the job market in tech and innovation sectors, and the global ESMT network supports your entry into international careers. Graduates typically benefit from a high placement rate and attractive starting salaries both nationally and internationally.

What is the study location like at ESMT Berlin?

The entire Master’s programme in Analytics and Artificial Intelligence takes place at the ESMT Berlin campus at Schlossplatz 1, right in the heart of Berlin. The campus is housed in a modernised listed building and offers a state-of-the-art learning environment with hybrid teaching technology. The following options are available to you:

  • Use of specialised analytics laboratories and project workrooms directly on campus
  • Participation in student clubs, conferences, and networking events within the ESMT ecosystem
  • Cooperation and exchange with over 90 nations in an international student environment
  • Option for five-minute walking distances to numerous Berlin tech companies, start-ups, and innovation centres
  • Possibility of accommodation in ESMT-owned, furnished flat-share apartments close to the campus

The location in Berlin gives you access to one of Europe’s leading AI hubs with a vibrant tech and start-up environment.

What costs and financing options should you expect?

The Master’s in Analytics and Artificial Intelligence at ESMT Berlin incurs total costs of €35,000 (current information). Tuition fees cover all courses, use of university infrastructure, and extensive career services. For living expenses in Berlin, you should additionally budget monthly costs for rent and living expenses.

  • Partial and merit-based scholarships may be awarded to particularly qualified applicants.
  • Additional support is available through student loans, education funds, and private financing.
  • Occasional discounts are offered during ESMT events or campus visits (for example: €150 discount on tuition fees when attending special open-house days).
  • Advisory services and info sessions on financing options are regularly offered both on campus and digitally.

Applicants can combine various funding options to individually secure their study costs.

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