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Ludwig-Maximilians-Universität München
Sprachkurs English Computer Science

MISU at LMU: Artificial Intelligence (AI) and Machine Learning: Foundations and Applications in Corporate Finance

Language Course

About the Program

This course aims at making you familiar with basic machine learning approaches and data analytics techniques, thus enabling you to use them to your professional benefit. Adopting a user perspective, you will learn to automate simple but time-consuming tasks such as classification of analysts' conference calls into economically meaningful content. Additionally, the course enables you to tackle complex prediction tasks using different information sources. Finally, the course gives you relevant data analytics skills such as the description, visualisation and statistical analysis of such predictions. We will use the programming language Python to apply the above-mentioned concepts. All essential programming skills are taught in this course, and there are no prior programming skills required.

General Requirements

Specific requirements for this program are not in our database yet. The following are typical for this degree and language in Germany — always verify the exact requirements on the program's official page.

Academic qualification

A recognised higher-education entrance qualification (Abitur or equivalent). International applicants may need recognition via Anabin and, if not directly eligible, a Studienkolleg + assessment exam (Feststellungsprüfung).

Language

English proficiency (typically IELTS ~6.5 or TOEFL iBT ~90). Basic German is helpful for daily life.

Typical documents

  • Recognised diploma and transcript (certified translations)
  • Language certificate
  • Passport and passport photo
  • Tabular CV (Lebenslauf)
  • Letter of motivation (for many programs)
  • Application via uni-assist / VPD (for most international applicants)

Which Professions Does This Program Open Up?

Related profession searches from Bundesagentur für Arbeit (BERUFENET) data:

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Subjects / Topic Areas

Applied Computer Science

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Frequently Asked Questions

Quick answers about MISU at LMU: Artificial Intelligence (AI) and Machine Learning: Foundations and Applications in Corporate Finance at Ludwig-Maximilians-Universität München

Is MISU at LMU: Artificial Intelligence (AI) and Machine Learning: Foundations and Applications in Corporate Finance at Ludwig-Maximilians-Universität München taught in German or English? ▼

This Sprachkurs programme is taught in English. Make sure to check the language requirements (e.g. TestDaF, DSH, IELTS or TOEFL) before applying.

How much does the MISU at LMU: Artificial Intelligence (AI) and Machine Learning: Foundations and Applications in Corporate Finance programme cost? ▼

1.457 EUR / semester. International students should also budget around 800–1000 EUR/month for living costs in Germany.

What are the admission requirements for MISU at LMU: Artificial Intelligence (AI) and Machine Learning: Foundations and Applications in Corporate Finance at Ludwig-Maximilians-Universität München? ▼

Typical requirements include: a recognised secondary/undergraduate degree, proof of language proficiency (English), and (for non-EU applicants) a uni-assist application plus financial proof (Sperrkonto ~11.904 EUR/year).

When is the application deadline? ▼

Application deadlines vary: winter semester usually closes on 15 July, summer semester on 15 January. Always confirm the exact deadline on the official university website.

Can I work in Germany while studying MISU at LMU: Artificial Intelligence (AI) and Machine Learning: Foundations and Applications in Corporate Finance? ▼

Yes. International students may work up to 140 working days a year without additional permission (a day of up to 4 hours counts as half a day). After graduation you can apply for an 18-month job-seeker permit.

How do I apply to Ludwig-Maximilians-Universität München — directly or via uni-assist? ▼

Most German universities accept international applications through uni-assist for document verification. Some unis accept direct applications — check the programme page on the official site.

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