MSc Data Science 24 months Postgraduate Program By Ludwig-Maximilians-Universität München |Top Universities
Program Duration

24 monthsProgram duration

Scholarship

YesScholarships

Main Subject Area

Data Science and Artificial IntelligenceMain Subject Area

Program overview

Main Subject

Data Science and Artificial Intelligence

Degree

MSc

Study Level

Masters

Study Mode

On Campus

The curriculum of the elite master program Data Science is a modularised study program. Students learn statistical and computational methods for collecting, managing, and analysing large and complex data sets and how to extract knowledge and information from these data sets. The program also comprises courses on data security, data confidentiality, and data ethics. In the practical modules students will tackle real-world problems in cooperation with industrial partners. Other highlights of the program are the summer schools and the focused tutorials. Upon graduation our students are well prepared for a career as a data scientist in the private or public sector in fields such as applied economics, political science, sociology, education, medicine, public policy, and media research. Students may also pursue a doctoral study in a variety of academic disciplines that require quantitative analysis.

Program overview

Main Subject

Data Science and Artificial Intelligence

Degree

MSc

Study Level

Masters

Study Mode

On Campus

The curriculum of the elite master program Data Science is a modularised study program. Students learn statistical and computational methods for collecting, managing, and analysing large and complex data sets and how to extract knowledge and information from these data sets. The program also comprises courses on data security, data confidentiality, and data ethics. In the practical modules students will tackle real-world problems in cooperation with industrial partners. Other highlights of the program are the summer schools and the focused tutorials. Upon graduation our students are well prepared for a career as a data scientist in the private or public sector in fields such as applied economics, political science, sociology, education, medicine, public policy, and media research. Students may also pursue a doctoral study in a variety of academic disciplines that require quantitative analysis.

Admission requirements

160+
72+
5.5+
Bachelor of Science (or equivalent) in Statistics or Informatics or related disciplines (at least 180 ECTS or equivalent); Excellent knowledge in Informatics and Statistics - applicants need to provide evidence of knowledge in Statistical Science and Data-Based Modelling AND Computer Science and Computational Methods; Overall Average Grade must be better than 1.5; Proficiency in English.
2 Years
Oct

Tuition fee and scholarships

One of the important factors when considering a master's degree is the cost of study. Luckily, there are many options available to help students fund their master's programme. Download your copy of the Scholarship Guide to find out which scholarships from around the world could be available to you, and how to apply for them.

In this guide you will find:
opportunities

Where to look for scholarship opportunities

how_to

How to apply to scholarships relevant to you

list

A list of available scholarships around the world

checklist

A scholarship application checklist

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More programs from the university

You can add a master's degree to your first undergraduate degree (e.g. bachelor's degree or State Examination) if you want to expand or specialize your knowledge.  An increasing number are now in English — from American History to Physics. A master's degree program at LMU usually takes two years and is made up of 120 ECTS points. 

In addition to an undergraduate degree, further qualification requirements may be necessary, which are detailed in the examination regulations for each master's degree.
There are consecutive master's degree programs that build on knowledge from undergraduate studies in the same subject. In other master's degree programs, the requirements can be met with different academic degrees, because they require certain fundamentals that are not restricted to a single subject area. Weiterbildende Master (career-integrated master's degree programs) also require relevant professional experience. Students in these programs are usually required to pay additional tuition fees.

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