Apply now Request free information

Master
Online Master Data Science

Unlock the future of data-driven innovation with our online Master's in Data Science. Join a dynamic learning community, gain cutting-edge skills in machine learning, data analysis, and artificial intelligence and prepare for a successful career in an in-demand, competitive field.

Request free information
Mann mit Afro Frisur Arbeiten an seinem Schreibtisch
Mann mit Afro Frisur Arbeiten an seinem Schreibtisch
Online Studies

Master
Data Science

Do you want to become a data expert and secure the best opportunities on the job market? A Master's degree in Data Science will pave your way for a successful career in the technology sector.

Request free information
Mann mit Afro Frisur Arbeiten an seinem Schreibtisch
Mann mit Afro Frisur Arbeiten an seinem Schreibtisch
Online Studies
QS Stars
WES
FIBAA
AACSB
CHE
Wissenschaftsrat
UNESCO

End 2024 right: invest in your career

Apply by January 5th and get a discount of up to €1,444!

Commit to improving your future today and make 2025 your year. Join us on campus in Berlin, study in English, and graduate with an internationally recognised degree. 

Apply Now

End 2024 right: invest in your career

Apply by January 5th and get a discount of up to €1,444!

Commit to improving your future today and make 2025 your year. Join us on campus in Berlin, study in English, and graduate with an internationally recognised degree. 

Apply Now
Overview

Start your online Master's in Data Science

In today's digital age, data scientists play a vital role in shaping our media landscape and driving social discourse. Whether it's exciting use cases, technological breakthroughs, or spirited debates, staying updated can be challenging.

With the field's rapid growth, the demand for data scientists is soaring. Many organisations are witnessing an uptick in data literacy, leading to the rise of 'Citizen Data Scientists'—individuals who create advanced diagnostic analytics models alongside their primary roles. In this context, data science experte are pivotal in hypothesis development and data interpretation.

This online master's degree in Data Science is tailored to address current advancements in software, infrastructure engineering, and Big Data technology. You'll cultivate robust problem-solving skills and a methodical, logical approach to data science challenges.

If you're eager to embark on your data science journey from the ground up, check out our Bachelor of Data Science programme!

Start your Master‘s in Data Science on-campus programme

In this age of digitalisation, data science plays an increasingly important role in the media landscape and our social discourse. Exciting use cases, technological innovations, or controversial discussions: it’s not always easy to keep track. 

As a result of the field‘s vitality, data scientists are in great demand. In many organisations, data literacy, and therefore, the number of “Citizen Data Scientists” – people who create models based on advanced diagnostic analytics, although their actual jobs are outside this area of competence – is increasing.  

Against this background, data science experts are indispensable when it comes to developing and testing hypotheses, as they are the ones who help companies make sense of the data they collect. 

Our Master‘s degree in Data Science focuses primarily on current developments in software and infrastructure engineering, as well as on Big Data technology.  

You’ll learn to fully develop your problem-solving skills, and how to take a methodical, focused, and logical approach to data science problems. 

This study programme is completely taught in English!

Your degree summed up

All the facts and figures about your study programme at a glance
OnlineCampus Study Model Degree
Master of Science (M.Sc.)
60 or 120 ECTS credits

Language
English
Accreditation & Recognition
Accreditation
Accredited in line with German and European standards
ZFU 1109920
60 ECTS credits - English
ZFU 1110020
120 ECTS credits - English

Recognition
Your degree is Internationally recognised and can easily be transferred to another country
Tuition Fees & Discounts
Tuition Fees
Starting from € 299 (US$ 316)* per month
*based on the exchange rate from 30.11.2024 12:00 AM (CET)

Online application
No application fees
Study Duration
Study start
any time

Duration
12 - 48 months (depending on time model)
OnlineCampus Study Model Degree
Master of Science (M.Sc.)
60 or 120 ECTS credits

Language
English
Accreditation & Recognition
Accreditation
Accredited in line with German and European standards
ZFU 1109920
60 ECTS credits - English
ZFU 1110020
120 ECTS credits - English

Recognition
Your degree is Internationally recognised and can easily be transferred to another country
Tuition Fees & Discounts
Tuition Fees
Starting from € 529 (US$ 558)* per month
*based on the exchange rate from 30.11.2024 12:00 AM (CET)

Online application
No application fees
Study Duration
Study start
April, October

Duration
12 - 24 months (depending on time model)

Start your career in Germany
As a graduate of this programme, you’ll be eligible for an 18-month visa to Germany - so you can look for your first job in peace.
100 % flexible

You decide where and when you want to study

Modernised learning

Access our unique learning app and AI tutor 

Award-winning education

First-class learning: 96% recommended 

German quality promise

All programmes are state accredited and recognized internationally. That's why 100,000+ students have put their trust in IU.

Kickstart your career in Europe

Benefit from 18-month post study job seeker’s visa as an IU student learning on campus and begin your career in Germany.

100% Flexibility

With IU you choose what, how and where you study. And depending on your preferred study format you can even start your first step towards your new career right away.

94% Job success

Our practice-oriented study programmes prepare you for your future career. This is why 94% of IU graduates find a job within 3 months after graduation.

Study contents

Online Master Data Science Subjects

Here's what you can expect in your Master’s degree in Data Science:

  • Cutting-Edge Topics: Explore the latest advancements in software, infrastructure engineering, and Big Data technology.
  • Practical Problem-Solving: Develop robust problem-solving skills, tackle complex data science challenges effectively.
  • Versatile Expertise: Gain expertise to create sophisticated data science applications and systems, applicable across private and public sectors.
  • Flexible Learning: Tailored for the schedules of working professionals, our online learning platform offers the flexibility you need to balance your career with advanced studies.
  • Vast Opportunities: Data science graduates can make a meaningful impact in various sectors ranging from computer engineering, business analytics, deep learning, data analytics, predictive modelling, cloud computing and more!

The order of courses presented below is for the online studies model of this programme.

This programme includes an AI prompt engineering course, so you can learn how to use tools like ChatGPT best in your everyday life, work, and studies. 

Course overview

In your Master’s degree in Data Science, you’ll primarily study current developments in software and infrastructure engineering, as well as Big Data technology. 

As you work through each of these individual topics, the key focus will be on practical problem-solving skills.  

The aim of this course is to prepare you to work as a specialist, who can develop challenging data science applications and systems, in both the private and public sectors. 

This programme includes an AI prompt engineering course, so you can learn how to use tools like ChatGPT best in your everyday life, work, and studies. 

Semester 1

Module

ECTS credits

Advanced Statistics

5

Use Case and Evaluation

5

Seminar: Current Topics in Data Science

5

Machine Learning

5

Deep Learning

5

Case Study: Model Engineering

5

Semester 2

Module

ECTS credits

Electives

10

Master Thesis

30

Electives overview

Elective A

In your 2nd semester, you'll need to choose an elective module, which you can choose from one of the following modules:

Module

ECTS credits

Big Data and Software Engineering

10

Smart Manufacturing Methods and Industrial Automation

10

Applied Autonomous Driving

10

AI and Mastering AI Prompting

10

Semester 1

Module

ECTS credits

Data Science

5

Advanced Mathematics

5

Seminar: Data Science and Society

5

Advanced Statistics

5

Use Case and Evaluation

5

Project: Data Science Use Case

5

Semester 2

Module

ECTS credits

Programming with Python

5

Machine Learning

5

Deep Learning

5

Big Data Technologies

5

Electives A

10

Semester 3

Module

ECTS credits

Cyber Security and Data Protection

5

Case Study: Model Engineering

5

Software Engineering for Data Intensive Sciences

5

Electives B

10

Seminar: Current Topics in Data Science

5

Semester 4

Module

ECTS credits

Master Thesis

30

Electives overview

Elective A

In your 2nd semester, you'll need to choose an elective module, which you can choose from one of the following modules:

Module

ECTS credits

Data Science Specialist

10

Technical Project Lead

10

Data Engineer

10

Business Analyst

10

Elective B

In your 3rd semester, you'll need to choose an elective module, which you can choose from one of the following modules:

Module

ECTS credits

Management

10

Sales, Pricing and Brand Management

10

Consumer Behaviour and Research

10

Corporate Finance

10

Innovative and Change

10

Cognitive Computing

10

Applied Autonomous Driving

10

Self Learning Systems

10

Industrial Automation and Internet of Things

10

AI and Mastering AI Prompting

10

Module guide

Module guide (60 ECTS credits)

Module guide (120 ECTS credits)

Course schedules

Online course schedule (60 ECTS credits)

Online course schedule (120 ECTS credits)

On campus course schedule (60 ECTS credits)

On campus course schedule (120 ECTS credits)

All the support you need, any time of day

With this programme, you’ll have access to human and AI-powered tutoring. 

Your tutors will be available to answer any questions, and you’ll have recurring appointments where you can discuss course topics with them and other students. 

Syntea, IU’s AI-powered tutor, will be available 24/7 to guide you through your courses and prepare you for exams. 

Study your way, and master working with AI at the same time. 

Admission

Entry requirements

The admissions documents must be provided in English or German. If they were not issued in one of these two languages, a translation is required. If you need to translate your documents, we can help refer you to our trusted translation partners. You can find more details here. 

General admission requirements

  • Completed undergraduate degree from a public or officially recognised university/higher education institution.  
  • For 60-ECTS credits programmes, you will need to have already acquired 240 ECTS credits. 
  • For 120-ECTS credits programmes, you will need to have 180 ECTS credits.  
  • You must have achieved a final grade of at least “satisfactory” or Grade C equivalent in your previous undergraduate degree 
  • Proof of at least one year’s professional work experience completed prior to the start of study programme. Work experience must have been gained after completion of your undergraduate studies

Further admission opportunities

Depending on your previous education, the following entry options are applicable for the 60-ECTS credits Master’s degree: 

  • undergraduate degree with 210 ECTS credits: you can bridge the gap of 30 ECTS credits with the proof of one year qualified work experience 
  • undergraduate degree with 180 ECTS credits: you can bridge the gap of 60 ECTS credits with the proof of two years qualified work experience 

Recognition of knowledge and abilities acquired outside of higher education is possible in principle. 

Additional specialist knowledge

To study the 60 ECTS credits programme, 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. You can take these courses online with us for free.

To study the 120 ECTS credits programme, you will need to have taken courses "Statistics - Probability and Descriptive Statistics" and "Introduction to Computer Science" or demonstrate equivalent knowledge. You can take these courses online with us for free.

Work experience

  • Proof of at least one year’s qualified work experience completed prior to the start of the study programme (the work experience must be gained after the completion of your undergraduate studies).
  • Don’t have a year’s worth of qualified work experience? Don’t worry! With the Fee Reduction Programme, you can start your studies right away, and gain your professional experience alongside your studies. You’ll need to achieve the one year’s worth of experience before you complete your Scholarship Programme.
  • You can provide us a translation of your employment contract and your pay slip or you can ask your company to fill out this form in English, sign it, apply the company stamp and send it to us:
    Proof of work experience (EN)
    Proof of work experience (NL)
    Proof of work experience (ES)
    Proof of work experience (IT)
    Proof of work experience (FR)

Fee Reduction Programme

Apply for the Fee Reduction Programme and receive a discount on your tuition fees. 

Please get in touch with our Study Advisory Team for more details. 

English language skills

Depending on your personal circumstances, you might be required to provide proof of your English language proficiency. Your skills would need to match the B2 level of the Common European Framework (CEF). 

We accept the following English language skills certificates*: 

  • TOEFL (minimum 80 points)* or 
  • IELTS (minimum Level 6)* or 
  • Duolingo English Test (minimum 95 points)*
  • PTE Academics (minimum 59 points)* or
  • Cambridge Certificate (minimum Grade B)* 

Is English your native language, or have you graduated from an English-speaking school or university? Then you do not need to prove your English language proficiency. 

Get in touch with our study advisors for more details. 

*Proof must be provided before the start of the study and must not be older than five years. 

Work experience

APS Certificate

If you are from India, China or Vietnam, you might need the APS certificate to study in Germany, regardless of if your programme is 100% online or on-campus. Learn more about the APS certification here.  

Don’t meet the work experience requirements? You can still apply to our partner institutions.

At IU, we’re serious about making education accessible! So, if you do not meet our work experience requirements, you still have the option to get a similar international, flexible degree from one of our partner institutions. Contact the Study Advisors today to learn more.

On campus

Start your career in Berlin

Our German campus in Berlin is in the best position for IU graduates to gain access to labour market.

IU Berlin

Study in Germany’s capital city, home to some of the world’s biggest and well-known companies. Berlin boasts a thriving community of expats, a relatively cheap cost of living, and an energetic start-up scene that’s ideal for creatives and the self-employed. The redevelopment of Tegel Airport into a science and technology park will also create 20,000 new jobs in R&D for the tech, sustainability, and engineering. 

What does it mean studying on Campus?

  • A mix of online self-study and on-campus learning (2-3 days per week) in Germany
  • Full time only
  • 2-4 intakes per year – programme dependent
  • Pre-set study sequence with some flexibility online
  • All programmes taught in English

Other perks:

  • Free online German language course
  • Online career services, job listings platform & virtual networking events
  • Internship module (optional)
  • 18-month post-study visa eligibility
Careers

Your Master in Data Science career outlook

The online Master’s programme in Data Science will provide you with an entry point to various fields of work, such as engineering, or consulting. As a data science specialist, you’ll be able to take on challenging tasks in both the private and public sectors. Once you’ve successfully completed your degree, you could work as...

Your Master in Data Science career outlook

The Master’s programme in Data Science will provide you with an entry point to various fields of work, such as engineering, or consulting.  

As a data science specialist, you’ll be able to take on challenging tasks in both the private and public sectors. Once you’ve successfully completed your degree, you could work as...

Senior data scientist at work.

Senior Data Scientist

As a senior data scientist, you will typically be responsible for all aspects of transforming data into usable value, from designing technical infrastructure and building advanced learning models to improving data quality and evaluating forecasts. As a senior, you'll also mentor juniors, lead a team and drive key decision-making processes. You'll also champion innovative solutions and advise on research and development.

Business analytics professional works on laptop.

Data Science Consultant

As a data science consultant, you will help companies and teams to achieve their goals in order to become a future-oriented company. Generally, you are responsible for identifying potential use cases, carrying out the initial project planning, and defining the relevant key figures and metrics to monitor success. As an expert, you are fit in dealing with new technologies and complex mathematical methods that enable you to establish completely new approaches.

Data science developer writes code onscreen.

Data Science Developer

As a data science developer, you are responsible for designing, building, and maintaining the data science infrastructure and cloud services. You develop and implement machine and deep learning models and ensure that all relevant data is accessible. In many cases, you will be in charge of evaluating and improving the quality of the data used in the project. As an expert, you also always have an eye on the big picture in order to set trends in the market.

Your career enabler

94% of current IU graduates find a job within 3 months. Our practice based degrees stand out from the crowd and prepare you for a job at industry-leading companies.

Student reviews

This is what our students say

  • “My studies at IU allowed me to experience the flexibility that is required in my professional field.”

    Michael Aman

    Online student

  • “I am an absolute fan of online exams! Due to my very irregular work schedule, I need this flexibility.”

    Michaela Haag

    Online student

  • Francesco Palmieri

    Graduate, Italy

Read our success stories
Personal counselling
Have any questions?

Visit our FAQ page or get in touch with our Study Advisors.


Tuition fees

Online Study models & fees for your Master degree in Data Science

On campus study model and fees for your Master degree in Data Science

Depending on your personal or professional circumstances, you may wish to complete your studies as quickly as possible, or you may prefer a more flexible study programme that is less time-consuming. That’s why we offer part-time options for all our study programmes. This allows you to study alongside professional or personal commitments. We adjust your study fees based on your chosen time model.

Are you unable to finish your programme within the given time? No problem! If you realise that you need more time, you can simply switch to another time model with one months’ notice before the end of the month.

No registration or administration fees are charged when you apply for studying – you’ll only be charged once your studies have started, and the trial month has ended.

Your trial month begins when you receive your login credentials. This will give you the opportunity to test our courses for one month without obligation, before being charged. During that month, you can then take your first courses and start learning right away!

Once the trial month is over, your studies continue. You’ll pay your tuition fees according to your contract.

At IU, we believe in full transparency – so there are no hidden fees. You only pay for your tuition and the one-time campus registration fee of €1,500.

No registration or administration fees are charged when you apply for studying – you'll only be charged once your studies have started. If you won't be admitted to a programme because you do not meet the admission requirements, no fees will be charged.

Full-Time

Duration 24 Months

US$ 588
US$ 524 /mth* Apply now
* € 496 based on the exchange rate from 30.11.2024 12:00 AM (CET)

Part-Time I

Duration 36 Months

US$ 441
US$ 399 /mth* Apply now
* € 377 based on the exchange rate from 30.11.2024 12:00 AM (CET)

Part-Time II

Duration 48 Months

US$ 348
US$ 316 /mth* Apply now
* € 299 based on the exchange rate from 30.11.2024 12:00 AM (CET)

Full-Time

Duration 12 Months

US$ 820
US$ 692 /mth* Apply now
* € 655 based on the exchange rate from 30.11.2024 12:00 AM (CET)

Part-Time I

Duration 18 Months

US$ 608
US$ 523 /mth* Apply now
* € 495 based on the exchange rate from 30.11.2024 12:00 AM (CET)

Part-Time II

Duration 24 Months

US$ 503
US$ 439 /mth* Apply now
* € 415 based on the exchange rate from 30.11.2024 12:00 AM (CET)
Full-Time
Duration 12 Months
US$ 820
US$ 759 /mth* Apply now
* € 721 based on the exchange rate from 30.11.2024 12:00 AM (CET)
Full-Time
Duration 24 Months
US$ 588
US$ 558 /mth* Apply now
* € 529 based on the exchange rate from 30.11.2024 12:00 AM (CET)

All our study programmes include the following benefits

  • Teaching and study material
  • Marking of your end-of-module exams
  • Monthly live and recorded tutorials
  • Use of the online campus
  • Individual study coaching
  • Online exams
  • Career coaching
  • Learn German and English for free
  • 4-week money back guarantee
  • Teaching and study material
  • Marking of your end-of-module exams
  • Individual study coaching
  • Online exams
  • Career coaching
  • Learn German and English for free
  • On-campus tutorials, 2-3x week
  • Access to all on-campus services
Recognition

Recognition of previous achievements

  • Save time: Skip individual modules or whole semesters!

Even before you apply for a study programme, we’ll gladly check whether we can take your previous achievements into account: 100% online, no strings attached. Simply fill in our recognition application form, which you can find under the content section of each study programme's webpage, and upload it via our upload section. You can also e-mail it to us, or send it via post.

Send an email to study@iu.org to find out which previous achievements you can get recognised. You can get your previous achievements recognised during your studies.

Do you need help with your application for recognition? Our student advisors will be happy to help. Simply arrange a personal call-back appointment.Arrange a personal video consultation appointment to discuss recognition

Recognition files

Guide to recognition

Individual application for recognition (60 ECTS credits)

Individual application for recognition (120 ECTS credits)

Why IU International University of Applied Sciences is the best choice

Your Studies Are Flexible and 100% Online

Schedule when you want to learn and study 100% online. At IU you have the possibility to complete your degree fully from home, whether full-time or part-time. You can even take your exams online whenever it suits you. 

Accredited & Globally Recognised

IU is accredited and certified with a seal of approval from the German Accreditation Council. All IU study programmes, materials, and services meet high internal and external quality standards, which are regularly reviewed and updated. We can also provide you with an official Europass Diploma Supplement once you graduate, to ensure that your degree is recognised anywhere in the EU.

You Gain Full Support

We provide you with innovative learning tools, digital study material, tutorial videos, live teaching sessions, student advice and support. You also have 24/7 access to our large online library. Your tutors are always available to answer your questions. Our study coaches are also available to help at any time. 

The Ideal Mix of Theory & Practice

Our programmes provide you with essential theoretical knowledge and focus, above all, on practice-oriented studies designed to best prepare you for your future career. Thanks to our great variety of electives you can specialise in the specific areas that match your personal goals.

Accredited & Globally Recognised

IU is accredited and certified with a seal of approval from the German Accreditation Council. All IU study programmes, materials, and services meet high internal and external quality standards, which are regularly reviewed and updated. We can also provide you with an official Europass Diploma Supplement once you graduate, to ensure that your degree is recognised anywhere in the EU.

The Ideal Mix of Theory & Practice

Our programmes provide you with essential theoretical knowledge and focus, above all, on practice-oriented studies designed to best prepare you for your future career. Thanks to our great variety of electives you can specialise in the specific areas that match your personal goals.

Hybrid Studies = More Flexibility

By combining in-person tutorials 2-3 times per week with 24/7 access to online study materials, you get to benefit from a more flexible study schedule. This allows you to work alongside your studies, or combine other activities, with relative ease. 

You Gain Full Support

We provide you with innovative learning tools, intimate campuses, easy access to lecturers, live teaching sessions, student advice services, and career support. You also have 24/7 access to our large online library. Your tutors are always available to answer your questions – and so are our study coaches.  

FAQs

Is a Masters in data science online worth it?

Yes, of course - pursuing a Master's in Data Science online can be a valuable investment, depending on your career goals and interests!

Can I do a Masters in data science online?

Yes, you can do your master's in data science online! With IU, you can complete your programme 100% online and also make use of our flexible study schedules to work part-time as you study!

What is the fee for MSC data science online?

IU's online master's programmes are flexible, allowing you to decide your study models, full-time or part-time and so on. The tuition fee generally depends on this. A ballpark estimate for this master data science programme would be between €160 and €300 per month! Looking for a different subject of interest for your master's education? You could also browse through IU's master's programmes offered in a variety of interesting fields.

What specific areas of expertise does the online master's in data science programme cover?

Our online master's in data science program is designed to provide a comprehensive understanding of key domains within the field. You'll delve into essential subjects such as machine learning, exploring algorithms and models for predictive analysis. The curriculum includes data mining techniques, allowing you to extract valuable insights from large datasets. Statistical analysis empowers you to make data-driven decisions with confidence. Natural language processing enables you to work with and derive insights from human language data.

What career opportunities can I expect after completing an online master's in Data Science?

Graduates of Data Science master's programmes are in high demand! Career options include data scientist, machine learning engineer, data analyst, and AI researcher, among others. Graduates can work in fields ranging from deep learning and predictive modeling to cloud computing, applied data science, computer engineering and more,. These roles often come with competitive salaries and opportunities for advancement, as data-driven decision-making becomes increasingly crucial in today's world.

What is the curriculum like for the online master's in Data Science program?

The curriculum in a data science degree programme typically covers a range of topics, including machine learning, data analysis, data visualization, statistical modeling, and big data technologies.

You might also be interested in these study programmes

Master

Learn more

Master

Learn more

Master

Learn more

Master

Learn more

Master

Learn more

Master

Learn more