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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.
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Course PreviewLearning Format
Fully Online
Duration
12 Months
3 Guaranteed
Interviews*
M.Sc. Degree
IU Germany
EMI Starts
at ₹8977/month*
3109
1493
24542
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.
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:
Upon the completion of this program, you will:
You will get to work in one of the strongest economies in the world, with the fourth highest GDP and 94% employment rate.
You will gain exposure to the German corporate world and global network.
Germany is a land of job opportunities with an employment rate of 94%
There is a high chance to get Permanent Residence (PR) in Germany.
Germany has an affordable cost of living.
The average salary in Germany after completion of the course is ₹45,00,000 p.a.
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
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
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
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.
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
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
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
7.1 Applied Autonomous Driving
7.2 Big Data and Software Engineering
7.3 Smart Manufacturing Methods and Industrial Automation
8.1 Written Master Thesis
8.2 Thesis Defense
Admission Details
The application process consists of three simple steps. An offer of admission will be made to selected candidates based on the feedback from the interview panel. The selected candidates will be notified over email and phone, and they can block their seats through the payment of the admission fee.
Submit Application
Tell us a bit about yourself and why you want to join this program
Application Review
An admission panel will shortlist candidates based on their application
Admission
Selected candidates will be notified within 1–2 weeks
Total Admission Fee
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| Date | Time | Batch Type | |
|---|---|---|---|
| Program Induction | 14th Dec 2024 | 08:00 PM - 11.00 PM IST | Weekend (Sat-Sun) |
| Regular Classes | 15th Dec 2024 - 15th Dec 2025 | 08:00 PM - 11.00 PM IST | Weekend (Sat-Sun) |
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:
Following is the admission process for this Master’s program:
As a part of this Master’s program, you will receive:
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:Â
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.Â
What is included in this course?
