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Bachelor
Data Science

Thrive in the dynamic world of data! With a bachelor in data science, you'll delve into the fascinating realm of data analytics, machine learning and more, and learn to leverage these to extract meaningful insights. Prepare to shape the future through data-driven innovation!


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Upskill your career with an IU degree

And get a discount of up to 1444 € if you apply by December 5th!* 

Get job-ready with an IU degree. Upskill with our internationally recognised, career-oriented programmes that help make your CV shine. Study flexibly and advance your career on your terms!

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Overview

Start your online Bachelor degree in Data Science

The most important economic and social development of our times is digitalisation. Digital technology not only fills all areas of interpersonal communication, but also has an important influence on our economy. It represents existing forms of technology, while paving the way for new business models that were not previously possible. Its distinguishing feature is the consistent use of data - no matter where, no matter when. Data Science is therefore at the core of all digitalisation processes. Study data science to get started on a rewarding and highly in-demand career path!

The online Bachelor's degree in Data Science covers data preparation, visualisation, and analysis; everything you need to know in order to launch a career in the field. You’ll learn to take a methodical, focused, and logical approach to data science problems, and the focus on practical problem-solving skills will have you ready for your future professional challenges, with confidence.

Your degree summed up

All the facts and figures about your study programme at a glance
OnlineCampus Study Model Degree
Bachelor of Science (B.Sc.)
180 ECTS credits

Language
English
Accreditation & Recognition
Accreditation
Accredited in line with German and European standards
ZFU 1110120c


Recognition
Your degree is Internationally recognised and can easily be transferred to another country
Tuition Fees & Discounts
Tuition Fees
Starting from € 239 (US$ 260)* per month
*based on the exchange rate from 31.10.2024 12:00 AM (CET)

Online application
No application fees
Study Duration
Study start
any time

Duration
36 - 72 months (depending on time model)
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 

Benefits of doing a Bachelor of Data Science

By pursuing a bachelor of data science, you'll not only position yourself for a successful and well-compensated career but also acquire the skills to make a meaningful impact in today's data-centric world.

Lucrative Job Opportunities

A bachelor of data science degree opens up a variety of career opportunities, given that it is a highly sought after skill in today's data-driven world. With the growing demand for data professionals, as a data science undergraduate, you'll have the chance to secure well-paying jobs in industries ranging from technology and finance to healthcare and marketing.

Impactful Decision-Making

Data science enables you to extract insights from large and complex datasets, empowering you to make informed decisions. By studying data science, you'll gain the ability to derive actionable insights, solve complex problems and drive strategies that can have a significant impact on businesses.

Versatility

Data science skills like data analysis, data visualisation and machine learning are highly versatile and in high demand across industries, making you a valuable asset to employers. Whether it's finance, tech companies, healthcare, retail, energy, or entertainment, data science plays a critical role in deriving insights, optimising processes and making data-driven decisions. A data science bachelor degree gives you the flexibility to work in different sectors, opening up a wide range of career options so you can choose to explore what aligns with your interests and aspirations.

Study contents

B.Sc Data Science Subjects

The Bachelor in Data Science online degree covers all of the relevant fields of knowledge, such as Python programming, predictive modelling, data visualisation, data analytics, cloud computing, machine learning, and software engineering, perfectly aligning them to provide you with the most comprehensive education. As you work through each of these individual topics, the key focus will be on practical problem-solving skills and real-world applications.

Python Programming

As the most popular programming language in data science, Python programming is a critical skillset for aspiring data scientists. Our online degree will equip you with strong foundations in Python, enabling you to develop versatile and efficient code to tackle complex data analysis and manipulation tasks.

Predictive Modelling

 In today's business landscape, predicting future trends, customer behaviour, and market demands is essential for success. Our online degree will cover essential predictive modelling techniques to empower you with the necessary skills for making data-driven, strategic decisions.

Data Visualisation and Analysis

Understanding how to represent and analyse data visually can provide new insights and support effective decision-making. In our Data Science online degree, you will learn various data visualisation techniques, allowing you to present complex data in a clear, concise, and easily digestible manner.

Machine Learning and Software Engineering

As part of the B.Sc in Data Science degree, you will also learn advanced machine learning techniques, enabling you to create intelligent systems that can learn, adapt, and improve over time. In addition, you will gain expertise in software engineering principles, thus ensuring that your data-driven projects are built on solid foundations.

Portfolio Development

What's more, over the course of your online studies, you'll not just be gathering data science knowledge, but also compiling a portfolio with samples of your work and scientifically documenting the skills you have acquired. That means you'll build a solid, strong portfolio that you can show potential employers – even before you graduate.

The order of courses presented below is for the online study model of the Bachelor of Data Science.

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

The Bachelor's degree in Data Science covers all of the relevant fields of knowledge, such as data visualisation, data analysis, machine learning, and software engineering, and aligns them perfectly with one another.  

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

What’s more, over the course of your studies, you'll compile a portfolio containing various samples of your work, and scientifically documenting the skills you have acquired.  

That means you’ll be actively working on a portfolio of your works that you can show potential employers – even before you graduate. 

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

Introduction to Data Science

5

Introduction to Academic Work

5

Introduction to Programming with Python

5

Mathematics: Analysis

5

Collaborative Work

5

Statistics - Probability and Descriptive Statistics

5

Semester 2

Module

ECTS credits

Object-Oriented and Functional Programming with Python

5

Mathematics: Linear Algebra

5

Intercultural and Ethical Decision-Making

5

Statistics - Inferential Statistics

5

Database Modeling and Database Systems

5

Project: Build a Data Mart in SQL

5

Semester 3

Module

ECTS credits

Business Intelligence

5

Project: Business Intelligence

5

Machine Learning - Supervised Learning

5

Machine Learning - Unsupervised Learning and Feature Engineering

5

Data Science Software Engineering

5

Project: From Model to Production

5

Semester 4

Module

ECTS credits

Agile Project Management

5

Big Data Technologies

5

Data Quality and Data Wrangling

5

Explorative Data Analysis and Visualization

5

Cloud Computing

5

Seminar: Ethical Considerations in Data Science

5

Semester 5

Module

ECTS credits

Time Series Analysis

5

Neural Nets and Deep Learning

5

Electives A

10

Electives B

10

Semester 6

Module

ECTS credits

Electives C

10

Introduction to Data Protection and IT Security

5

Model Engineering

5

Bachelor Thesis

10

Electives overview

Elective A

In your 5th semester, you'll need to choose an elective module, which you can choose from one of the following modules:

Module

ECTS credits

Data Engineer

10

Data Analyst

10

AI Specialist

10

FinTech

10

Derivatives and Risk Management

10

International Finance

10

Elective B

In your 5th semester, you'll need to choose an elective module, which you can choose from one of the following modules:

Module

ECTS credits

International Marketing and Branding

10

Applied Sales

10

Supply Chain Management

10

Smart Factory

10

Production Engineering, Automation and Robotics 

10

Autonomous Driving

10

Elective C

In your 6th semester, you'll need to choose an elective module, which you can choose from one of the following modules:

Module

ECTS credits

International Marketing and Branding

10

Applied Sales

10

Supply Chain Management

10

Smart Factory

10

Automation and Robotics

10

Autonomous Driving

10

Autonomous Driving

10

Foreign Language

10

Studium Generale*

10

Career Development

10

Microsoft ERP- Dynamics 365 Business Central - Functional Consultant

10

SAP - SAP S/4HANA Business Process Integration - Application Associate

10

Mastering Prompts

10

Module guide

Module guide

Online course schedule

Course schedule


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. 

Assuming you find this course engaging, choosing the option of studying for a BSc in Computer Science would also serve your academic interests well.

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 academic requirements

  • Higher Secondary School Leaving Certificate such as A-Levels or IB Diploma and your transcript of records.
  • A subject-related higher education entrance qualification.

Depending on your situation, you might have to provide additional documents or meet additional requirements. If that’s the case, our admissions team will let you know after you start your application.

General academic requirements

  • Higher Secondary School Leaving Certificate such as A-Levels or IB Diploma and your transcript of records.
  • A subject-related higher education entrance qualification.

Depending on your qualifications, you might have to meet additional requirements, such as successfully passing a university entrance examination or one of the following programmes to make sure you are ready to study with us:

  • Bachelor Entrance Examination

Please get in touch with our Study Advisory Team to find out the exact requirements applicable for your application.

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 not be older than five years. 

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.  

Earn a high school diploma and start your Bachelor’s degree – at the same time!

Don’t have a high school diploma? Have one, but your grade average doesn’t meet our admission requirements? We have a solution for you! 

With A-Levels you can earn a high school diploma and start working towards your future Bachelor’s degree – at the same time.

Visit our A-Levels page for more details. 

Careers

Your Bachelor degree in Data Science career outlook

The Bachelor's degree in Data Science will help you make your first steps in various fields of work, such as engineering or consulting. What’s more, our programmes combine state-of-the-art lectures with industry-leading best practice examples, thus helping you to advance your career in the most efficient way.

Once you’ve successfully completed your Data Science Online Degree, you could work as, for instance...


Data engineer works at a desk with a monitor and two small screens.

Data Engineer

As a data engineer, you take care of all relevant processes related to the generation, storage, maintenance, processing, and dissemination of data. The development and monitoring of the hardware and software infrastructure are crucial. This includes designing, purchasing, and setting up all the necessary components that are appropriate for the respective requirements. Furthermore, as a data expert, you are responsible for the security and stability of the entire system as well as compliance with data protection and data security.

Data scientists at work, looking at their computer screens.

Data Scientist

As a data scientist, you systematically evaluate data and extract knowledge. Based on your findings, you support the company management, especially in the realm of business analytics, making data-driven recommendations that create a competitive edge. You also know how to present your knowledge clearly and communicate it to third parties without specific technical knowledge. Data scientists usually act in an advisory capacity and provide support in difficult situations. With your know-how, you are an expert, especially in the area of business intelligence and big data.

Four emplyees sit around a table with their laptops.

Digital Analytics Consultant

As an expert, you know how to correctly evaluate the flood of digital information and data - regardless of the end device. The goal is to filter out exactly the data that provides the customer with important information and figures so that they can derive trends and customer needs for their market from it. To achieve this, data must not only be collected and visualised, but also correctly interpreted. Strategic consulting is therefore one of the traits of a digital analytics consultant.

Student reviews

This is what our students say

  • “IU International University of Applied Sciences offers me the opportunity to organise my studies as flexible as possible.”

    Isabel Jennemann

    Online student

  • “I decided to study online because I wanted to develop professionally and at the same time have enough time for family and job.”

    Veronika

    Online student

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

    Michael Aman

    Online student

Read our success stories
Personal counselling
Have any questions?

Visit our FAQ page or get in touch with our Study Advisors. You can also find information about the application process under our Become a Student page.

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 Bachelor degree in Data Science

On campus study model and fees for your Bachelor 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 36 Months

Perfect for students who want to hit the ground running and shorten the period of study by increasing their studying pace.

US$ 434
US$ 391 /mth* Apply now
* € 359 based on the exchange rate from 31.10.2024 12:00 AM (CET)

Part-Time I

Duration 48 Months

Excellent for talented all-rounders who want to give their studies everything they’ve got while holding down a job and keeping down their monthly costs at the same time.

US$ 374
US$ 342 /mth* Apply now
* € 314 based on the exchange rate from 31.10.2024 12:00 AM (CET)

Part-Time II

Duration 72 Months

Ideal for students who would like to take their time completing their courses on top of their job and everyday life and keep down the monthly costs of their studies.

US$ 282
US$ 260 /mth* Apply now
* € 239 based on the exchange rate from 31.10.2024 12:00 AM (CET)
Additional charges

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 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 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

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 Bachelor in data science worth it?

Yes, a bachelor in data science is worth it! The field of data science is rapidly growing and is full of opportunities. With a data science degree you gain in-demand skills and expertise to derive insights, drive solutions and solve problems. An added plus is that data scientists are required across industries, ensuring long-term career flexibility for data science graduates. A bachelor in data science builds a solid foundation for success in a data-driven world! Not sure if data science is your cup of tea? IU offers a variety of bachelor degrees that you can browse to help you make an informed decision.

How many years takes to complete bachelor of data science?

A Bachelor of data science degree typically takes about four years to complete, assuming it is full-time and with a standard course load. However, at IU, we offer complete autonomy over how and when and from where you choose to complete your studies. Our on campus study is 36 months and you can also choose to complete your course online, either full-time or part-time in 38, 48 or 72 months!

What is Bachelor in data science?

A bachelor in data science is an undergraduate degree program on the study of data science, interpreting data to extract insights using various tools and methods. It is an intersection of mathematics, statistics and computer science that helps in informed-decision making across industries ranging from tech companies to health or finance or even entertainment! A bachelor of data science prepares students to engage with real world data to drive strategies and become major players in the domain of their interest. You can also choose to do a Master in Data Science to further deepen your expertise in the field. A Master's degree can open up additional job opportunities and provides a competitive edge in this rapidly evolving field!

Which Bachelor's degree is best for data science?

For a future career in data science, the best degree is a B.Sc. in data science because it offers a specialised curriculum tailored to the field. It provides a comprehensive understanding of key concepts. The B.Sc. program typically covers subjects such as statistics, programming, data mining, machine learning and data visualization, giving students a solid foundation in both the theoretical and practical aspects of data science. Of course, the best Bachelor's degree typically depends on your personal interests and career goals. If you are looking for a more flexible approach to your bachelor of data science degree, then IU would be a great option. We offer 100% flexibility and you can choose when and how you'd like to complete your degree!

What is the scope of B.Sc data science?

Can I do B.Sc data science after 12th?

Yes, you can pursue a B.Sc in data science after completing your 12th. At IU, we welcome international students to take advantage of our bachelors programs, and a Bachelors in data science opens you up to tons of opportunities in tech! These programs provide a comprehensive education in data science, covering subjects such as statistics, programming, machine learning, and data analysis.

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