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IU’s Master’s in Computer Science degree program is for those who wish to pursue a successful IT career. This online degree will help you gain the right competencies that will enable you to create and develop new systems and tech. It offers an M.Sc. degree in Computer Science with IU Germany.
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Course PreviewLearning Format
Fully Online
Duration
2 Years
3 Guaranteed
Interviews*
120 ECTS
Online
EMI Starts
at ₹8977/month*
3109
1493
24542
The Master in Computer Science degree program offered by IU is accredited by German and European standards and designed to help you master the domain with a focus on data science, artificial intelligence, cyber security, and elective modules of your choice.
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 4th 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
Python
Advanced Statistics
Advanced Mathematics
Data Science
Software Engineering
Algorithms
Cyber Security
Artificial Intelligence
Big Data
Networks and Distributed Systems
Blockchain
UI/UX
Machine Learning
Deep Learning
1.1 Introduction to the Python programming language
1.2 Object-oriented concepts in Python
1.3 Handling of exceptions and errors
1.4 The Python library ecosystem
1.5 Environments and package management
1.6 Documentation and testing
1.7 Version control
2.1 Software process modeling
2.2 Basic software life cycles
2.3 Agile and lean processes
2.4 The Software Product Life Cycle
2.5 Governance and management of software processes
3.1 Calculus
3.2 Integral transformations
3.3 Vector algebra
3.4 Vector calculus
3.5 Matrices and vector spaces
3.6 Information theory
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 Introduction to data science
5.2 Use cases and performance evaluation
5.3 Pre-processing of data
5.4 Processing of data
5.5 Selected mathematical techniques
5.6 Selected artificial intelligence techniques
The aim of the course is to apply acquired knowledge to a practical scenario. Project teams work on a project independently over several software process phases.
7.1 Algorithm design
7.2 Introduction to important classes of algorithms
7.3 Correctness and completeness of algorithms
7.4 Computability and the theoretical limits of algorithms
7.5 Efficiency of algorithms
8.1 Data protection and privacy
8.2 Cyber security building blocks
8.3 Cyber security management
8.4 Cryptography concepts
8.5 Cryptography applications
The seminar covers the relationship between computer science and society, including topics such as the social responsibility of computer scientists and the effects of digitization on society. Based on a list of topics updated regularly, students select or are assigned a specific topic on which to write a scientific report.
10.1 History of AI
10.2 AI application areas
10.3 Expert systems
10.4 Neuroscience
10.5 Modern AI systems
11.1 Data types and data sources
11.2 Databases
11.3 Modern storage frameworks
11.4 Data formats
11.5 Distributed computing
In this course, students learn to apply computer science concepts they have learned in previous modules to a real-world project.
This seminar deals with current topics of computer science. Students make a dive deep into a specific topic within a sub-discipline of their choice. These disciplines are including but not limited to the following: artificial intelligence, big data technologies, IT security and data protection, algorithmics, data science, and programming.
14.1 Communication Networks
14.2 Communication Protocols
14.3 Distributed System Architectures
14.4 Distributed Algorithms and Applications
17.1 Master Thesis
17.2 Colloquium
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 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.
No, you cannot skip the pre-requisite course(s) provided by IU.
For admission to this Master’s degree program, 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 Computer Science program, you will receive an M.Sc. degree from IU.
This Master’s in Computer Science degree program is curated by industry experts to help aspirants become successful IT professionals with expertise in advanced statistics and mathematics, Software Engineering, algorithms, cyber security, data science, and more.
After completing the program, you will get an M.Sc. degree from IU. The degree will qualify you for the top-paying IT jobs around the world.
This degree program offers online learning. After 6 months of mandatory training, you can apply for on-campus learning. The first three semesters are online and the fourth semester will be held on-campus.
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 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. Since the on-campus program in Germany is full-time, you will have to commit to the appropriate workload.
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.
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.
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.
Computer Science professionals can play several roles, and there are a number of opportunities available in Germany for these positions. As per LinkedIn, there are over 17,600 Computer Engineering jobs, 12,400+ Software Developer jobs, 10,400+ Data Engineering jobs, over 3,200 Data Security jobs, and other similar job opportunities in Germany.
If anyone withdraws their application after the payment has been made, the operation cost incurred will not be refundable.
What is included in this course?
