Máster Data Science
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El Máster Data Science en Inglés se imparte en modalidad Online.
The IU online Master Data Science program equips you with comprehensive theoretical knowledge essential for becoming an expert in the field. From machine learning to big data systems, you'll delve into a diverse array of topics poised to drive any company forward. Your ideal data science role is within reach – seize the opportunity to invest in your future and reap the rewards.
Pricing
60 ECTS:
Online: 6565 EUR (full time - Full Tuition Fee - 1 year)
Limited Offer: Prices shown include discounts. Seasonal discounts and promotions are available; don't hesitate to contact the university for a personalized offer
120 ECTS:
Online: 9193 EUR (full time - Full Tuition Fee - 2 years)
Limited Offer: Prices shown include discounts. Seasonal discounts and promotions are available; don't hesitate to contact the university for a personalized offer
Why IU?
• Affordable: Enjoy discounts on online and campus tuition fees
• Flexible: 24/7 access to IU’s digital learning materials, wherever you are
• 24/7 Assistance: IU’s AI-driven teaching assistant helps you prepare for exams, find materials in the virtual library, and clarify questions
• Career-oriented: Courses combine theory and practical application through real-world case studies
• International: All programmes are accredited according to German and EU standards in education
Master (60 ECTS credits):
Academic Requirements:
- Completed degree from a public or officially recognised university/higher education institution in a relevant field.
- For 60 ECTS credits programmes, you will need to have already acquired 240 ECTS credits.
- Achieved a final grade of at least “satisfactory” or Grade C equivalent (minimum 3,5 in the German grading scale) in your previous undergraduate degree.
In some cases: Proof of at least one year’s professional work experience completed prior to the start of the study programme. Work experience must have been gained after completion of your undergraduate studies and needs to be full-time (trainees are not accepted).
English Level:
- Proof of English skills.
- If you do not meet the English skills requirements, IU offers the free of charge IU English Language course. This is available to you if you meet the other admission requirements.
- If English is your native language or you graduated from an English-speaking school/university, you do not have to prove your English skills.
Overall English Requirements:
- TOEFL (min. 80 points) or
- IELTS (min. Level 6.0 out of 9 points) or
- Duolingo English test (min. 95 points) or
- Cambridge Certificate (min. B grade overall) or
- Equivalent proof
Master of Science - Data Science 60 ECTS credits
In addition to the general admissions requirements for master's degrees.
-To study the 120 ECTS credits version of this degree, you will need to have taken courses “Statistics - Probability and Descriptive Statistics” and “Introduction to Computer Science” or demonstrate equivalent knowledge such as through work experience. You can take these courses online with IU for free.
-To study the 60 ECTS credits version of this degree, you will need to have taken courses “Programming with Python”, “Advanced Mathematics”, “Statistics - Probability and Descriptive Statistics” and “Introduction to Computer Science” or demonstrate equivalent knowledge such as through work experience. You can take these courses online with IU for free.
Master (120 ECTS credits):
Academic Requirements
Completed undergraduate degree from a public or officially recognised university/higher education institution.
For 120 ECTS credits programmes, you will need to have 180 ECTS credits.
Achieved a final grade of at least “satisfactory” or Grade C equivalent (minimum 3,5 in the German grading scale) in your previous undergraduate degree.
In some cases: Proof of at least one year’s professional work experience completed prior to the start of the study programme. Work experience must have been gained after completion of your undergraduate studies and needs to be full-time (trainees are not accepted).
English Level:
- Proof of English skills.
- If you do not meet the English skills requirements, IU offers the free of charge IU English Language course. This is available to you if you meet the other admission requirements.
- If English is your native language or you graduated from an English-speaking school/university, you do not have to prove your English skills.
Overall English Requirements:
- TOEFL (min. 80 points) or
- IELTS (min. Level 6.0 out of 9 points) or
- Duolingo English test (min. 95 points) or
- Cambridge Certificate (min. B grade overall) or
- Equivalent proof
60 or 120 ECTS
Duration (full-time): 12 or 24 months
Duration (part-time): 18, 24, 36 or 48 months
Study Model: Online + OnCampus
Application deadline
-For Online: Anytime
-For Campus: Before the intake starts
Intake
-Online: anytime
-On campus: October, April
-Campus location: Berlin
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Máster Data Science
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