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Master’s in Data Science by IU

IU’s Master’s in Data Science degree program is for those who wish to pursue a successful career in Data Science. This degree will help cover all the essential skills and tools in the domain like optimization of existing production lines, creation of new business models, and more. This program offers a dual M.Sc. degree in Data Science with London South Bank University (LSBU).

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Upskill for Your Dream Job

Learning Format

Fully Online


2 Years

Career Services

by Intellipaat

120 ECTS



Hiring Partners

About Program

You will learn about the effective utilization of data for generating actionable insights in this Master’s in Data Science program by IU. The program is in line with German and European standards, and you can apply for 18 months of post-study work visa after you receive your degree.

Key Highlights

2-Year Fully Online Learning
Dual M.Sc. Degree from IU and LSBU
Python & SQL Bootcamp by Intellipaat
Career-Essential Soft Skills Program by Intellipaat
Alumni Status of IU and LSBU
Fortnightly Sessions with Industry Experts by Intellipaat
Visa Assistance by Intellipaat
Free German Classes by Intellipaat
IBM Certification
18 months Post-Study Work Visa
Job Assistance with Global Partners
Flexible Schedule
No IELTS Required
Mentor Support
International Learners Community for Doubt Clearance
No-cost EMI option

Free Career Counselling

We are happy to help you 24/7

About IU

The International University of Applied Sciences (IU) is an educational institution that offers an environment of motivation, innovation, and excellence. The university places a strong focus on the quality of its courses and faculty, along with a determination to provide excellent services. Its flexible study programs are designed to suit your professional goals.

Key achievements of IU:

  • Learn from Germany’s largest university.
  • Ranked No. 1 online university in Germany – QS Ranking
  • 94 percent of IU graduates get a job within the first 3 months of graduating and, after two years, an average of 80 percent have management responsibilities –
  • Accredited by Council of Sciences
  • Received five FIBAA premium seals
  • 5-Star QS High-Quality Education
  • AACSB Member
  • 75000+ Alumni from 110 countries.
  • Get access to the International student career office

Upon the completion of this program, you will:

  • Receive an M.Sc. degree in Data Science from IU
  • Have alumni status of IU

About LSBU

​​London South Bank University (LSBU) has been known for providing excellent education since 1892. The university is committed to providing the best career opportunities for over 18,000 students coming from over 130 countries.

Upon the completion of this program, you will:

  • Receive an M.Sc. degree in Data Science from LSBU
  • Have alumni status of LSBU

Who can apply for this M.Sc. degree in Data Science program?

  • Anyone with an Under Graduate degree with a minimum of 50% marks
  • Minimum one year of professional experience
  • Data Science aspirants
  • Professionals looking to grow their career with a Master’s in Data Science
  • Professionals wishing to make a transition to mid-level and higher positions
Who can aaply

Why Study in Germany?

Work in Germany

You will get to work in one of the strongest economies in the world with the 4th highest GDP and 94% employment rate.

Global Exposure

You will gain exposure to the German corporate world and global network.

Post-Study Work Visa

Students can apply for post-study work Visa, which will be valid for 18 months.

Germany PR

There is a high chance to get Permanent Residence (PR) in Germany.

Low Cost of Living

Germany has an affordable cost of living.

High Salary Packages

The average salary in Germany after completion of the course is ₹4,500,000 p.a.

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Skills to Master

Data Science

Advanced Statistics

Advanced Mathematics

Machine Learning

Deep Learning

Model Engineering

Parameter Estimation

Big Data

Cyber Security

Data Visualization

Hypothesis Testing

Research Methods

Support Vector Machines

Decision Trees

Genetic Algorithms

Software Engineering

Python Programming

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Master’s in Data Science Course Content

  • Python
  • SQL

Semester 1

1.1 Introduction to data science
1.2 Use cases and performance evaluation
1.3 Pre-processing of data
1.4 Processing of data
1.5 Selected mathematical techniques
1.6 Selected artificial intelligence techniques

2.1 Calculus
2.2 Integral transformations
2.3 Vector algebra
2.4 Vector calculus
2.5 Matrices and vector spaces
2.6 Information theory

In this module, students will reflect on the current societal and political implications of the application of data science models. To this end, pertinent topics will be introduced via articles that are then critically evaluated by the students in the form of a written essay.

4.1 Introduction to statistics
4.2 Important probability distributions and their applications
4.3 Bayesian statistics
4.4 Descriptive statistics
4.5 Data visualization
4.6 Parameter estimation
4.7 Hypothesis tests

5.1 Use case evaluation
5.2 Model-centric evaluation
5.3 Business-centric evaluation
5.4 Monitoring
5.5 Avoiding common fallacies
5.6 Change management

A current list of topics is given in the Learning Management System. This forms the basis of the course but can be amended or updated by the tutor.

Semester 2

7.1 Introduction to the Python programming language
7.2 Object-oriented concepts in Python
7.3 Handling of exceptions and errors
7.4 The Python library ecosystem
7.5 Environments and package management
7.6 Documentation and testing
7.7 Version control

8.1 Supervised, unsupervised, and reinforcement learning approaches
8.2 Regression and classification learning problems
8.3 Estimation of functional dependencies via regression techniques
8.4 Data clustering
8.5 Support vector machines, large margin classification
8.6 Decision tree learning

9.1 Introduction to neural networks and deep learning
9.2 Network architectures
9.3 Neural network training
9.4 Alternative training methods
9.5 Further network architectures

10.1 Data types and data sources
10.2 Databases
10.3 Modern storage frameworks
10.4 Data formats
10.5 Distributed computing

Semester 3

12.1 Data protection and privacy
12.2 Cyber security building blocks
12.3 Cyber security management
12.4 Cryptography concepts
12.5 Cryptography applications

13.1 Data science methodologies
13.2 Data quality
13.3 Feature engineering
13.4 Feature selection
13.5 Building a predictive model
13.6 Avoiding common fallacies

14.1 Agile project management
14.2 DevOps
14.3 Software development
14.4 API
14.5 From model to production

In this module, students will reflect on current developments in data science. Pertinent topics will be introduced via articles, that are then critically evaluated by the students in the form of a written essay.

Semester 4

17.1 Written Master Thesis
17.2 Thesis Defense


  • Data Science Specialist
  • Technical Project Lead
  • Data Engineer
  • Business Analyst
  • Management
  • Sales, Pricing, and Brand Management
  • Consumer Behaviour and Research
  • Corporate Finance
  • Innovate and Change
  • Cognitive Computing
  • Applied Autonomous Driving
  • Self-Learning Systems
  • Industrial Automation and IoT
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Program Highlights

24 months online learning
120 ECTS
Dual M.Sc. degree from IU and LSBU
18 months post-study work visa

Interested in This Program? Secure your spot now.

The application is free and takes only 5 minutes to complete.

Career Services By Intellipaat

Career Services

Career Oriented Sessions

Throughout the course

Over 20+ live interactive sessions with an industry expert to gain knowledge and experience on how to build skills that are expected by hiring managers. These will be guided sessions and that will help you stay on track with your up skilling objective.


Resume & LinkedIn Profile Building

After 70% of course completion

Get assistance in creating a world-class resume & Linkedin Profile from our career services team and learn how to grab the attention of the hiring manager at profile shortlisting stage


Mock Interview Preparation

After 80% of the course completion.

Students will go through a number of mock interviews conducted by technical experts who will then offer tips and constructive feedback for reference and improvement.


1 on 1 Career Mentoring Sessions

After 90% of the course completion

Attend one-on-one sessions with career mentors on how to develop the required skills and attitude to secure a dream job based on a learners’ educational background, past experience, and future career aspirations.


3 Guaranteed Interviews

After 80% of the course completion

Guaranteed 3 job interviews upon submission of projects and assignments. Get interviewed by our 400+ hiring partners.


Exclusive access to Intellipaat Job portal

After 80% of the course completion

Exclusive access to our dedicated job portal and apply for jobs. More than 400 hiring partners’ including top start-ups and product companies hiring our learners. Mentored support on job search and relevant jobs for your career growth.

Our Alumni Work At

Master Client Desktop

Program Fee

Total Admission Fee

$ 8,772

Program Cohorts

Next Cohorts

Date Time Batch Type
Program Induction 30th Jan 2022 08:00 PM - 11.00 PM IST Weekend (Sat-Sun)
Regular Classes 10th Feb 2022 - 10th Feb 2023 08:00 PM - 11.00 PM IST Weekend (Sat-Sun)

Master’s in Data Science FAQs

What are the eligibility criteria to enroll in this Master’s in Data Science program?

For admission to this Master’s degree program, candidates must know Programming with Python, Advanced Mathematics, Statistics – Probability and Descriptive Statistics, and Introduction to Computer Science. Candidates must have:

  • At least one year of professional experience
  • A bachelor’s degree in any discipline
  • English as a medium of instruction

Following is the admission process for this Master’s program:

  • Complete the application process by submitting the documents below:
    • University degree certificate and transcript record for your bachelor’s degree with a minimum of 50% marks
    • Medium of instruction letter for English/English as the medium of instruction for bachelor’s degree
    • Work experience letter
    • Tabular CV
    • A copy of identity card or passport
  • Candidates are shortlisted by the admission panel based on the application submitted
  • Selected candidates will receive an offer of admission that they can accept by paying the program fee

As a part of this Master’s program, you will receive:

  • A dual degree accredited by London South Bank University (LSBU) and IU
  • IU, Germany and LSBU Alumni Status
  • Become a part of the international student community and global alumni network
  • Assistance from the international student career office
  • 18 months post-study work visa

After successfully completing this Master’s in Data Science program, you will receive a dual degree from IU and LSBU. For the dual degree, students will need to sign up for this offer within 4 weeks of enrolment.

This Master’s in Data Science degree program is a curation by industry experts to help aspirants become successful Data Scientists with the right competencies, knowledge, and skill sets. You will master all skills and tools that are crucial in the Data Science domain. After completing the program, you will get a dual degree from IU and get accredited by the LSBU. After getting your degree, you will be qualified for top-paying Data Science jobs around the world.

This is a two-year online degree program, after which you can choose to apply for a post-study work visa in Germany, which will be valid for 18 months.

IELTS is not mandatory. However, proof of your English language skills is required if English is not your native language, or you didn’t graduate from an English-speaking school/university. IU will conduct an English test to check your proficiency in the English language at no cost. A fair understanding of English is mandatory as the complete degree program is delivered in the English language.

Accepted certifications:

  • Speexx B2.2 Certificate (complimentary when signing up with IU)​
  • TOEFL (min. 80 points)
  • IELTS (min. 6.0)
  • Duolingo English test (min. 95 points)
  • Cambridge Certificate (min. B grade overall)
  • Equivalent proof

IU, Germany believes in small class sizes, typically consisting of 30 students. This makes it easier for students to receive the attention they need during learning. IU’s well-established career center helps students in getting jobs. 94% of IU graduates receive job offers within 6 months of completion of the program.

While knowing German is not mandatory, it is advisable if you are planning to work in Germany after the degree program. We offer free German classes that you can sign up for.

You will have to give at least 13 hours to learning per week to be able to graduate from the online program.

Through our peer-to-peer chat, you can post your questions and your peers, faculty, and teaching assistants will get back to you within a day. Additionally, there are regular Q&A sessions that are conducted by the faculty during online classes to clarify any conceptual doubts. You will also have fortnightly sessions with industry experts.

Absolutely! There is a tremendous impact that data has on multiple industries, and there will be a time when knowing data science will become an absolute necessity. The critical demand for quality data experts proves so. This is one of the most lucrative career options right now.

Germany is known to have the lowest unemployment rate across Europe. According to the German industry bodies, there are over 100,000 vacancies for IT jobs there. Germany is looking for skilled immigrants to take up jobs there.

You can opt for a part-time job till the time you find a full-time placement in Germany. Students are allowed to work 20 hours per week or 120 full days of part-time work during one year. Germany typically pays around 10 Euros per hour, which adds up to 220 Euros per week.

As proof of funds to support yourself in Germany, you will be asked to deposit 10332 Euros in a blocked German bank account before applying for a Visa. You can withdraw the amount once you reach Germany to support your monthly expenses. However, keep in mind that your actual expenses may vary depending on your lifestyle.

Germany allows for up to 18 months of a post-study work visa after completing a degree from Germany. Intellipaat will assist you with your visa application and processing with the help of professional immigration consultants.

With the help of our multiple hiring partners in Germany, we will assist you during your job application process after the completion of your degree program.

The European Credit Transfer System or ECTS is the measure that compares learning achievements and helps students easily transfer credits from one higher education institution to another.

Data Science experts can play several roles, and there are a number of opportunities available in Germany for these positions. As per Glassdoor, there are over 1,300 job openings for Data Scientists, over 5,400 job openings for Data Engineers, over 3,000 Data Analyst job openings, 4,300 job openings for Machine Learning Engineers, and 5,600 job opportunities in AI.

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What is included in this course?

  • Non-biased career guidance
  • Counselling based on your skills and preference
  • No repetitive calls, only as per convenience
  • Rigorous curriculum designed by industry experts
  • Complete this program while you work

I’m Interested in This Program

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