All Courses
×
IU

Master's Degree (M.Sc.) in Data Science by IU

5,402 Ratings

Ranked #1 Data Science Program by India TV

IU’s Master’s in Data Science degree program has been carefully curated and tailored for learners who want to pursue a successful career in data science. From the optimization of existing production lines to the creation of new business models, this degree will help cover all the essential skills and tools in the domain. This program offers an M.Sc. degree in data science from IU, Berlin.

Apply Now Download Brochure
IU

Watch

Course Preview

Learning Format

Fully Online

Duration

12 Months

3 Guaranteed

Interviews*

M.Sc. Degree

IU Germany

400+

Hiring Partners

trustpilot 3109
sitejabber 1493
mouthshut 24542

About Program

In this Master’s in Data Science program by IU, you will get to learn about the effective utilization of data to derive actionable insights. The program is in line with German and European standards and is a fully online degree program.

Key Highlights

1-Year Fully Online Learning
M.Sc. Degree from IU
Python & SQL Bootcamp by Intellipaat
Career-Essential Soft Skills Program by Intellipaat
Alumni Status of IU
Fortnightly Sessions With Industry Experts by Intellipaat
Visa Assistance by Intellipaat
Free German Classes by Intellipaat
Job Assistance with Global Partners
Flexible Schedule
No IELTS Required
Mentor Support
International Learners Community for Doubt Clearance
WES Recognised
Live Instructor-led Data Science Certification Course by Intellipaat
3 Guaranteed Interviews

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
  • Accredited by the German Council of Sciences, AACSB and received five FIBAA premium seals
  • Five-Star QS High-Quality Education
  • 75000+ Alumni from 110 countries.
  • Get access to the International student career office
  • 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 – Topuniversities.com

Upon the completion of this program, you will:

  • Receive an M.Sc. degree in data science from IU
  • Have alumni status of IU
Master’s in Computer Science by IU Click to Zoom

Who can apply for this M.Sc. in data science program?

  • Anyone with an undergraduate degree with a minimum of 50% marks
  • Minimum of 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 apply

Why study in Germany?

Work in Germany

You will get to work in one of the strongest economies in the world, with the fourth 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 ₹45,00,000 p.a.

View More

Skills to Master

Statistics

Machine Learning

Deep Learning

Model Engineering

Parameter Estimation

Big Data

Data Visualization

Hypothesis Testing

Research Methods

Support Vector Machines

Decision Trees

Genetic Algorithms

View More

Master’s in Data Science Course Content

  • Python for Data Science
  • SQL
Download Brochure

Semester 1

1.1 Introduction to statistics
1.2 Important probability distributions and their applications
1.3 Bayesian statistics
1.4 Descriptive statistics
1.5 Data visualization
1.6 Parameter estimation
1.7 Hypothesis tests

Download Brochure

2.1 Use case evaluation
2.2 Model-centric evaluation
2.3 Business-centric evaluation
2.4 Monitoring
2.5 Avoiding common fallacies
2.6 Change management

Download Brochure

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.

Download Brochure

4.1 Supervised, unsupervised, and reinforcement learning approaches
4.2 Regression and classification learning problems
4.3 Estimation of functional dependencies via regression techniques
4.4 Data clustering
4.5 Support vector machines, large margin classification
4.6 Decision tree learning

Download Brochure

5.1 Introduction to neural networks and deep learning
5.2 Network architectures
5.3 Neural network training
5.4 Alternative training methods
5.5 Further network architectures

Download Brochure

6.1 Data science methodologies
6.2 Data quality
6.3 Feature engineering
6.4 Feature selection
6.5 Building a predictive model
6.6 Avoiding common fallacies

Download Brochure

Semester 2

7.1 Applied Autonomous Driving
7.2 Big Data and Software Engineering
7.3 Smart Manufacturing Methods and Industrial Automation

Download Brochure

8.1 Written Master Thesis
8.2 Thesis Defense

Download Brochure
View More
Disclaimer
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

12 Months online learning
60 ECTS
Masters Degree from IU
24*7 Support

Career Services By Intellipaat

Career Services
guaranteed
3 Guaranteed Interviews
job portal
Exclusive access to Intellipaat Job portal
Mock Interview Preparation
1 on 1 Career Mentoring Sessions
resume 1
Career Oriented Sessions
linkedin 1
Resume & LinkedIn Profile Building
View More

Our Alumni Works At

Hiring Partners

Program Fee

Total Admission Fee

$ 6,000

Apply Now

Program Cohorts

Next Cohorts

Date Time Batch Type
Program Induction 23rd Nov 2024 08:00 PM - 11.00 PM IST Weekend (Sat-Sun)
Regular Classes 24th Nov 2024 - 24th Nov 2025 08:00 PM - 11.00 PM IST Weekend (Sat-Sun)

Master’s in Data Science FAQs

What are the prerequisites for this course?

Although there is no specific prerequisite for this degree program, IU Germany might assign you certain prerequisite courses based on your past education qualifications.

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.

No, you cannot skip the prerequisite course(s) provided by IU.

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 the identity card or passport
  • Candidates are shortlisted by the admission panel based on the application submitted

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

  • An M.Sc. degree accredited by IU
  • 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 this Master’s in Data Science program, you will receive an M.Sc fromIU.

This Master’s in Data Science degree curriculum has been designed by industry experts that will help you become a successful data scientist with the right competencies and skill sets. You will get to cover all skills and tools that are crucial in the data science domain. After completing the program, you will get an M.Sc. degree from IU. After getting your degree, you will be qualified for top-paying data science jobs around the world.

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 while learning. IU’s well-established career center helps students get jobs. 94% of IU graduates receive job offers within six months of completion of the program.

No. Knowing German is not mandatory, but it is, of course, advisable if you are planning to work there after the degree program. We offer free German classes that you can sign up for.

You will have to give at least 13 hours of 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 24 hours. Additionally, there are regular Q&A sessions with faculty that take place during online classes to clarify any conceptual doubts. You will also have fortnightly sessions with industry experts.

Of course! With the way data is impacting all industries, there will be a time when it 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 in 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.

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

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. 

View More

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