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M.Sc in Data Science by IU

This M.Sc degree in Data Science is designed for Data Science aspirants who aim at building a successful career as a Data Scientist. This degree covers all the essential skills and tools like Python, SQL, Machine Learning algorithms, Visualization, Big Data Systems, etc. Get dual credentials with this M.Sc. degree in Data Science from IU Germany and Advanced Certification in Data Science & AI from IITM Pravartak. Learn from leading faculty from IIT Madras & IU along with industry experts. Upon the successfulRead More..

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Ranked #1 Data Science Program by India TV

Upskill for Your Dream Job

Learning Format

Fully Online


24 Months

Career Services

by Intellipaat

IU Germany

Alumni Status


Hiring Partners

About Program

You will learn about the effective utilization of data for generating actionable insights through the M.Sc in Data Science program by IU. The program is in line with German and European standards, and you will receive 2 year (120 ECTS) M.Sc Degree in Data Science from IU upon the completion of the program.

Key Highlights

24 Months Fully Online
M.Sc. Degree from IU, Germany
Advanced certification from IITM Pravartak
Resume Preparation and LinkedIn Profile Review
1:1 Mock Interview
Alumni Status of IU Germany
Live sessions from IIT Madras Faculty
Visa Assistance by Intellipaat
IBM Certification
Flexible Schedule
No IELTS Required
Mentor Support
International Learners Community for Doubt Clearance
WES Recognised
Free German Classes by Intellipaat

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 three 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 and IITM Pravartak
  • Have alumni status of IU

About IITM Pravartak Digital Skills Academy

IITM Pravartak, a Technology Innovation Hub of IIT Madras is funded by Department of Science and Technology, GoI under its National Mission on Interdisciplinary Cyber-Physical Systems (NM-ICPS), focuses on application-oriented research and innovation in the areas SNACS. BharOS, India’s first mobile operating system is developed by an IITM Pravartak incubated company.

Key Achievements of IIT Madras:

  • Ranked No: 1 in India in both ‘Overall’ and ‘Engineering’ Categories in NIRF 2022 for four consecutive years.
  • IIT Madras has been identified as an ‘Institution of Eminence’ by the Government of India.
  • Ranked No. 4 Indian Institute in QS World University Ranking and Ranked #250 in the International QS World rankings 2023.

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

  • Anyone with an Undergraduate degree with a minimum of 50% marks
  • Minimum one year of professional experience
  • Data Science aspirants
  • Professionals looking to grow their career with a M.Sc degree 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.

Highest Employment Rate

Germany is a land of job opportunities with an employment rate of 94%

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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Tools to Master

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M.Sc in Data Science Course Curriculum

Live Course Industry Expert Academic Faculty

Year 1 (60 ECTS)


  • Introduction to Python and IDEs – The basics of the Python programming language, how you can use various IDEs for Python development like Jupyter, Pycharm, etc. 
  • Python Basics – Variables, Data Types, Loops, Conditional Statements, functions, decorators, lambda functions, file handling, exception handling ,etc.
  • Object Oriented Programming – Introduction to OOPs concepts like classes, objects, inheritance, abstraction, polymorphism, encapsulation, etc.
  • Hands-on Sessions And Assignments for Practice – The culmination of all the above concepts with real-world problem statements for better understanding. 


  • Introduction to Linux  – Establishing the fundamental knowledge of how Linux works and how you can begin with Linux OS. 
  • Linux Basics – File Handling, data extraction, etc.
  • Hands-on Sessions And Assignments for Practice – Strategically curated problem statements for you to start with Linux. 

SQL Basics – 

  • Fundamentals of Structured Query Language
  • SQL Tables, Joins, Variables 

Advanced SQL –  

  • SQL Functions, Subqueries, Rules, Views
  • Nested Queries, string functions, pattern matching
  • Mathematical functions, Date-time functions, etc. 

Deep Dive into User Defined Functions

  • Types of UDFs, Inline table value, multi-statement table. 
  • Stored procedures, rank function, triggers, etc. 

SQL Optimization and Performance

  • Record grouping, searching, sorting, etc. 
  • Clustered indexes, common table expressions.

Hands-on exercise: 

Writing comparison data between past year to present year with respect to top products, ignoring the redundant/junk data, identifying the meaningful data, and identifying the demand in the future using complex subqueries, functions, pattern matching concepts.

  • What is Version Control?
  • Types of Version Control Systems
  • Introduction to SVN
  • Introduction to Git
  • Git Lifecycle
  • Common Git commands
  • Working with branches in Git
  • Merging branches
  • Resolving merge conflicts
  • Git workflow
  • Introduction to Data Science using Python
  • Python basic constructs
  • Maths for DS-Statistics & Probability
  • OOPs in Python
  • NumPy for mathematical computing
  • SciPy for scientific computing
  • Data manipulation
  • Data visualization with Matplotlib
  • Central tendency
  • Variability
  • Hypothesis testing
  • Anova
  • Correlation
  • Regression
  • Probability definitions and notation
  • Joint probabilities
  • The sum rule, conditional probability, and the product rule
  • Bayes theorem
  • Machine Learning using Python
  • Supervised learning
  • Unsupervised learning
  • Dimensionality reduction
  • Time-series forecasting
  • Introduction to Deep Learning and Neural Networks (by Academic Faculty)
  • Multi-layered Neural Networks
  • Artificial Neural Networks and various methods
  • Deep Learning libraries
  • Why and when we need MLOps?
  • AI pipelines
  • Training, tuning, and serving on AI platform
  • Kubeflow pipelines on AI platform
  • CI/CD for Kubeflow pipelines

1. Power BI Basics

  • Introduction to PowerBI, Use cases and BI Tools , Data Warehousing, Power BI components, Power BI Desktop, workflows and reports , Data Extraction with Power BI.
  • SaaS Connectors, Working with Azure SQL database, Python and R with Power BI
  • Power Query Editor, Advance Editor, Query Dependency Editor, Data Transformations, Shaping and Combining Data ,M Query and Hierarchies in Power BI.

2. DAX 

  • Data Modeling and DAX, Time Intelligence Functions, DAX Advanced Features

3. Data Visualization with Analytics  

  • Slicers, filters, Drill Down Reports
  • Power BI Query, Q & A and Data Insights
  • Power BI Settings, Administration and Direct Connectivity
  • Embedded Power BI API and Power BI Mobile
  • Power BI Advance and Power BI Premium

Hands-on Exercise:

Creating a dashboard to depict actionable insights in sales data.

In the Data Science Capstone project, you will use all the knowledge and skills you have acquired throughout this advanced certification program and gain industry experience in the domain.

  • Calculus
  • Integral transformations
  • Vector algebra
  • Vector calculus
  • Matrices and vector spaces
  • 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.

  • Introduction to Statistics
  • Important probability distributions and their applications
  • Bayesian statistics
  • Descriptive statistics
  • Data visualization
  • Parameter estimation
  • Hypothesis tests
  • Use case evaluation
  • Model-centric evaluation
  • Business-centric evaluation
  • Monitoring
  • Avoiding common fallacies
  • 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.

  • Data types and data sources
  • Databases
  • Modern storage frameworks
  • Data formats
  • Distributed computing

Year 2 - Semester 3

  • Data protection and privacy
  • Cyber security building blocks
  • Cyber security management
  • Cryptography concepts
  • Cryptography applications
  • Data science methodologies
  • Data quality
  • Feature engineering
  • Feature selection
  • Building a predictive model
  • Avoiding common fallacies
  • Agile project management
  • DevOps
  • Software development
  • API
  • 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.

Year 2 - Semester 4

  • Written Master Thesis
  • 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
  • Job Search Strategy
  • Resume Building
  • LinkedIn Profile Creation
  • Interview Preparation Sessions by Industry Experts
  • Mock Interviews
  • Placement opportunities with 400+ hiring partners upon clearing the Placement Readiness Test.
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Intellipaat reserves the right to modify, amend or change the structure of module & the curriculum, after due consensus with the university/certification partner.

Program Highlights

24 months online learning
120 ECTS
M.Sc. Degree from IU, Germany
24*7 Support

Interested in This Program? Secure your spot now.

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

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Career Services By Intellipaat

Career Services

Career Oriented Sessions

Throughout the course

Over 10+ live interactive sessions with an industry expert to gain knowledge and experience on how to build skills that are expected by hiring managers. These guided sessions 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 the 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.

Placement Assistance

Upon movement to the Placement Pool

Placement opportunities are provided once the learner is moved to the placement pool upon clearing Placement Readiness Test (PRT)

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 Works At

Master Client Desktop

Program Fee

Total Admission Fee

$ 10,000

Program Cohorts

Next Cohorts

Date Time Batch Type
Program Induction 23rd Sep 2023 08:00 PM - 11.00 PM IST Weekend (Sat-Sun)
Regular Classes 24th Sep 2023 - 24th Sep 2024 08:00 PM - 11.00 PM IST Weekend (Sat-Sun)

M.Sc in Data Science FAQs

What are the pre-requisites for this course?

Although there is no specific prerequisite for this Degree Program, IU Germany might assign you certain pre-requisite courses based on your past education qualification.

These courses will help you build the required foundation for you to master all the knowledge before the 1 year degree program starts. The duration and quantity of such courses may vary from student to student based on their profile, domain expertise, work experience and graduation degree.

Intellipaat provides career services that include Guarantee interviews for all the learners enrolled in this course. IITM Pravartak is not responsible for the career services.

No, you cannot skip the pre-requisite course(s) provided by IU.

For admission to the 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 M.Sc degree from IU, Germany
  • Advanced Certification from IITM Pravartak
  • IU, Germany Alumni Status
  • Become a part of the international student community and global alumni network
  • Assistance from the international student career office

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

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 six 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.

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.

If anyone withdraws their application after the payment has been made, the operation cost incurred will not be refundable.

To be eligible for getting into the placement pool, the learner has to complete the course along with the submission of all projects and assignments. After this, he/she has to clear the Placement Readiness Test (PRT) to get into the placement pool and get access to our job portal as well as the career mentoring sessions.

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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

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