Machine Learning, Master of Science

These are the requirements for the Master Machine Learning

With your Master's in Machine Learning, you can work as a Machine Learning Engineer, MLOps Engineer, or Product Owner for Machine Learning.

To be admitted to the part-time Master's programme in Machine Learning at IU International University, you must have obtained a first university degree from a state-recognized or state university, such as a Bachelor's or Master's degree. The final grade of your degree should be at least "Satisfactory."

The focus of your undergraduate degree should also be in the field of STEM. If your undergraduate degree does not have a STEM focus, you may still be admitted through a Master's admission test.

For this English-language variant, you must also demonstrate your English proficiency*. You can demonstrate your English proficiency, for example, through a TOEFL (minimum 80 points), IELTS (minimum Level 6), a passed Duolingo English Test (minimum 95 points), a Cambridge certificate (at least grade B overall), or an equivalent qualification.

*If you have already completed an English-language undergraduate degree or if English is your native language, you do not need to provide separate proof.

In addition, you can have prior credits recognized in order to shorten your study time in distance learning and save on tuition fees. For example, credits you have earned in previous Master's programmes can be recognized. Extensive work experience in the field of Machine Learning can also be recognized by the university. It is best to submit your application for recognition along with your application.

These are the study contents in the online Machine Learning course

The Master's program in Machine Learning at IU International University is aimed at students with a technical background or a related field who want to deepen their expertise in the field of machine learning.

This Master's program at IU consists of approximately 16 modules which you will take and complete over 4 semesters of regular study time. Each module is worth 5-10 credit points (ECTS) and concludes with an examination performance such as a term paper or an exam. In total, you will acquire 120 credit points from module to module and from semester to semester.

The typical study plan for the full-time Machine Learning program looks as follows:

• 1st Semester: Programming with Python, Advanced Mathematics, Machine Learning, Advanced Statistics, Deep Learning, Project: Machine Learning Libraries
• 2nd Semester: Advanced Research Methods, Big Data Technologies, Data Modeling and Reporting, Seminar: Sustainability, Ethics, and Law in Machine Learning, Electives A
• 3rd Semester: Electives B, Electives C
• 4th Semester: Master Thesis

What's special about the Master's program in Machine Learning at IU are the numerous opportunities to specialize in subject areas according to your own interests and professional fields in the elective field. Choose from recommended tracks or from a variety of elective modules.

As first specialization (Electives A), you can choose from these exciting modules:

NLP and LLM, Natural Language Processing, Reinforcement Learning, Image Processing and Low Level Vision, Corporate Governance of IT, Compliance, and Law, International IT Law, Data Query Languages, Business Intelligence I, Case Study: Model Engineering, Explainable and Interpretable Machine Learning Models

For the second specialization (Electives B), select from these study modules:

Voice Assistants, Project: Prompt Engineering, Mid-Level Vision and Video, Computer Vision for Autonomous Systems, Seminar: Legal Framework for IT-Security, Cyber Security and Data Protection, Extract, Transform and Load Technologies, Project: Extract, Transform and Load Technologies, DevOps, Project: Machine Learning Model Building, Artificial Intelligence, Project: AI Excellence with Creative Prompting Techniques

At the beginning of your Master's studies in Machine Learning, you also have the choice of completing the program with an integrated internship or additional elective modules:

• Electives C (if you choose the internship): Internship: Master AI, Machine Learning and Data Science
• Electives C (if you choose the three modules*): Business Communication and Storytelling, Design, Lean and Game: Social and creative methods, Start Up Lab

*If you choose the modules from Electives Area C, you must complete all modules from this area. Hybrid forms between an internship and Electives Area C are not possible.

How flexible the standard study time is in the Machine Learning distance learning program

At IU International University, in the part-time distance learning program, you choose one of 3 study models:

• In full-time studies, the standard study time is 4 semesters or 24 months. You can extend the standard study time by up to 2 semesters or 12 months at no additional cost. Full-time studies in Machine Learning are particularly suitable for those who are not employed or work only a few hours per week.
• In part-time study I, the standard study time is 6 semesters or 36 months. You can extend the standard study time by up to 2 semesters or 12 months at no additional cost. Part-time study I is suitable, for example, if you work part-time alongside your studies.
• In part-time study II, the standard study time is 8 semesters or 48 months. You can extend the standard study time by up to 2 semesters or 12 months at no additional cost. Part-time study II is particularly suitable if you are heavily involved in your professional life alongside your distance learning.

By the way, you can also take a semester off during the course of your studies at no additional cost.

How does online learning work at IU?

A study program that fits into your life: In online studies at IU, you learn flexibly and digitally when and where you want to learn.

In the Master's distance learning program in Machine Learning at IU International University, there is no attendance requirement - you continuously learn from home, in the library of your choice, or wherever you can learn best.

You can take your modules and courses whenever you want. This way, you can flexibly create your study plan and semester schedule yourself.

Central to the IU distance learning is your interactive learning scripts. You will receive the scripts in printed form as well as digitally as PDF and for tablets. Through the smart app IU Learn, you have access to the scripts for your Machine Learning studies as well as scripts from all other distance learning courses at IU.

Furthermore, via myCampus, the online campus of IU, you can access additional materials, such as videos. You interact with your lecturers and fellow students, for example in virtual live formats, through interactive courses.

And exams? You can take them as online exams if you wish. You can take an online exam 24/7 once you feel sufficiently prepared for the material. Alternatively, you can write the exam at one of the numerous exam centers of IU throughout Germany.