• PSW Visa Apply for 18 months

Why Join this Program

Degree with IU Germany

Degree with IU Germany

Boost career prospects with a German degree & study in Berlin

Save up to ₹15 Lakhs

Save up to ₹15 Lakhs

Significant savings of up to ₹15 Lakhs compared to studying full degree in Germany

18 months Post-Study Work Visa

18 months Post-Study Work Visa

Opportunity to work in the 4th largest economy of the world

94% employment success rate

94% employment success rate

94% of IU graduates find a job within 3 months after graduation

MS in AI Overview

Gain the right skills to achieve top-level career positions with this MS in Artificial Intelligence online program. Understand and explore the social impacts, risks, and business opportunities that AI presents in this digital world.


  • 18-month post-study work visa
  • 94% of IU graduates find a job within 3 months after graduation
  • Study on-campus semesters at the Berlin international campus
  • Free German language course
  • Alumni status from IU
  • Simplilearn’s StudyAbroadAssist for Visa assistance and IELTS/TOEFL prep (paid service)
  • IU's Career Services for On Campus learners

Why Study in Germany?

Study at our beautiful IU campus
  • International Opportunities for Career GrowthGet a chance to work in the 4th largest economy in world with globally recognized degrees
  • Low Education and Living costSave money by pursuing the blended track and securing same career outcomes
  • Post Study Work VisaApply for 18 months Post Study Work Visa and get a chance to work in Germany
  • Build Your International NetworkBroaden Your Horizons by becoming part of International Student Community and Global Alumni Network

MS in Artificial Intelligence Advantage

This 24-month MS in Artificial Intelligence leverages IU’s mix of in-person and online classes and Simplilearn’s supplementary skills to help you build a network, socialize, and benefit from real-time, practical teaching. 

About IU

Founded in 1998, IU is the leading private university for online studies in Germany. IU combines its specialist expertise and focus on providing excellent student services, subject-specific knowledge, and transferable skills to prepare our graduates for the international business world.

Read More
Why Study in Germany?
  • Work in one of the strongest economies in the world with the 4th highest GDP
  • Exposure to German corporate world and global network
  • High chance for PR
  • Affordable cost of living
IU Certificate

MS in Artificial Intelligence Details

With this 24-month MS in Artificial Intelligence, transform every walk of life with Artificial Intelligence by enabling people to rethink how we integrate information, analyze data, and use the resulting insights to improve decision making.


  • Get started with the IU MS in Artificial Intelligence. Explore everything about this MS in AI online program and kickstart your artificial intelligence journey.

  • Get a detailed overview of the historical developments, successes, and set-backs in AI and learn to comprehend the brain and cognitive processes from a neuro-scientific point of view in this MS in Artificial Intelligence online program. Also, explore the wide range of potential application areas in Artificial Intelligence, including industry sectors such as autonomous driving and mobility, medicine, finance, retail, and manufacturing.

  • Modern techniques to analyze data and derive predictions for future events are deeply rooted in mathematical techniques. This MS in Artificial Intelligence helps you build a solid base to understand the concepts behind advanced algorithms used to process, analyze, and predict data and observations, and enables students to follow future research, especially in the fields of data-intensive sciences.

  • This Online MS in Artificial Intelligence helps you learn to analyze use cases and their requirements to derive value from the project. You will learn to evaluate key performance indicators to assess projects from a business perspective. It also discusses how to avoid common fallacies and understand the implications of introducing data-driven decisions into traditional management structures.

  • In the current decade, impressive advances have been achieved in the field of artificial intelligence. Several cognitive tasks like object recognition in images and video, natural language processing, game strategy, and autonomous driving and robotics are now being performed by machines at unprecedented levels of ability. This MS in Artificial Intelligence makes you examine and write a seminar paper on some of societal, economic, and political implications of these developments.

  • Learn the fundamental concepts of statistics and probability distributions and their prevalence in application scenarios. This MS in AI will discuss descriptive techniques to summarize and visualize data effectively and the Bayesian approach to statistics.

  • Learn to apply the concepts covered in the preceding MS in AI Online course to build a running AI model or system. This MS in Artificial Intelligence helps you transfer acquired theoretical knowledge to real-world case studies.

  • Python is one of the most versatile and widely used scripting languages. This MS in AI provides a thorough introduction to the language and its main features, as well as insights into the rationale and application of important adjacent concepts such as environments, testing, and version control.

  • Machine learning is a field of scientific study concerned with algorithmic techniques that enable machines to learn performance on a given task via the discovery of patterns or regularities in exemplary data. This MS in Artificial Intelligence focuses on exploring different machine learning models and analyzing what model to choose.

  • This MS in Artificial Intelligence focuses on the fundamentals of neural networks and deep learning. It includes a detailed overview of alternative methods to train neural networks and further network architectures that are relevant in a wide range of specialized application scenarios.

  • This MS in AI elucidates contemporary approaches to computer vision and natural language processing. Explore common use-case scenarios in which NLP and computer vision techniques are applied while analyzing the advantages and drawbacks of various NLP and computer vision algorithms.

  • For part of your MS in Artificial Intelligence online program, you can choose two electives so you can focus on an area or industry you’re interested in: AI Specialist, Data Engineer, Technical Project Lead, UI/UX Expert, and Privacy and Security.

  • Statistical inference and causal analysis are crucial tools for analyzing and understanding data on a fundamental level. This MS in AI helps you examine data in terms of statistical inference, create probabilistic models, analyze interventions in statistical systems, and evaluate common fallacies in causal analysis.

  • Reinforcement learning enables computers to derive problem-solving strategies without being explicitly programmed for the specific task, similar to the way humans and animals learn. This MS in AI discusses reinforcement learning approaches and evaluates the tradeoff between exploitation and exploration.

  • Learn to build a successful data-based product with the help of agile approaches such as Scrum and Kanban. Learn how DevOps brings software development and operations together into one team.

  • Explore current AI trends in this course. Learn to independently analyze selected topics and case studies and link them with well-known concepts, while critically questioning and discussing them.

  • In this Master Thesis, work on a problem from your major field of study by applying the specialized and methodological skills you have acquired during your studies. Analyze selected tasks with scientific methods, critically evaluate them, and develop appropriate solutions under the guidance of an academic supervisor.

  • For part of your MS in Artificial Intelligence online program, you will choose two electives so you can focus on an area or industry you’re interested in: Advanced Robotics 4.0, Applied Autonomous Driving, Consumer Behaviour and Research, Corporate Finance, DevOps for Data Applications, Innovate and Change Management, Sales, Pricing, and Brand Management.

  • This MS in AI expands upon the material presented in the introductory NLP and Computer Vision course. With respect to the processing of text, it provides an overview of machine translation and information extraction. It also addresses signal processing aspects of NLP such as speech recognition and synthesis.

  • Learn the foundational concepts in data engineering in this course. This MS in Artificial Intelligence also introduces cloud computing and compares different common public cloud offerings.

  • Understand the concepts involved in IT project management. This MS in Artificial Intelligence will focus on IT project organization, cost management, and the human factor within IT projects.

  • Understand what design is about and the crucial aspects of good design. This MS in AI will focus on the role of the UI/UX designer within a project, the UX design process, and the user-centered mindset.

  • Understand the working principles of industrial and mobile robots while identifying the main challenges of robotics in the era of Industry 4.0 in this course.

  • Learn about the main architectural aspects of a self-driving car. Learn to implement a motion control system, sensor solution, and communication protocols.

  • In a global economy characterized by greater competition, companies operating internationally need comprehensive market-driven strategies to survive in the marketplace. The MS in AI provides students with the relevant concepts for understanding the international environment of the company with a focus on the demand side/the consumer.

  • Learn about the key components of corporate finance. Understand the capital structures of a corporation, how to make investment and funding decisions, methods of business valuation, and the basics of mergers & acquisitions.

  • Discuss the shift from more traditional software development approaches to the DevOps culture for data application development.

  • Understand the importance of organizational change while bringing innovation in this MS in Artificial Intelligence. Analyze the opportunities and challenges associated with evaluating a business idea and setting up a business while utilizing and redesigning formal organizational structures to facilitate change processes.

  • Take brands beyond national boundaries to the global marketplace. Examine how brands are positioned and re-positioned in regional, national, and international markets and explore the concept of shared and cooperative branding. Learn to analyze a company’s current brand strategy and propose viable alternatives, and make informed decisions with a greater probability of success.

Supplementary Skills ( Choose One)

  • Specialization 1

    AI Engineer

    Learn Artificial Intelligence's concept, purpose, domain breadth, phases, implementations, and impact. Create real-world projects, games and prediction models.

  • Specialization 2

    Data Scientist

    Learn fundamentals of Data Science and get hands-on experience with technologies like R, Python, Machine Learning, Tableau, Hadoop, and Spark.



  • Artificial Intelligence
  • Statistics
  • Python
  • Machine Learning
  • Deep Learning
  • Natural Language Processing
  • Computer Vision

Learner's Profile

This MS in AI caters to working professionals from a variety of industries and backgrounds; the diversity of our students adds richness to class discussions and interactions.

  • Build your international network. Interact with learners from different countries and organizations.
    Students in Germany
    India - 25%Russia - 13%Austria - 14%Italy - 11%France - 9%Other - 28%
    IU Alumni Network
    BNP Real Estate

Admission Details


The application process consists of three simple steps. An offer of admission will be made to selected candidates and accepted by the candidates by paying the admission fee.

Submit Application

Submit the required documents and choose between Online or Hybrid mode

Application Review

An admissions panel will shortlist candidates based on their application


Selected candidates will get login credentials to begin the program


For admission to this global MS in Artificial Intelligence, candidates should have:

Minimum One Year of IT-Related Experience

Three-Year Bachelor's Degree with 50% Marks or Above

Valid Proof of English as Medium of Instruction


We have a team of dedicated admissions counselors who are available to guide you as you apply to the program. They are available to:

  • Address questions related to your application
  • Provide guidance regarding financial aid (if required)
  • Help answer questions and understand the program
Talk to our admissions counselors now!

Apply Now


  • Degree with IU Germany
  • Opportunity to live in Berlin
  • IU Germany Alumni membership
  • Eligibility for an 18-month post-study work visa application
  • International student community and global alumni network


  • What are the eligibility criteria specific to applicants who opt for the hybrid model of the MS in AI program?

    Applicants for the hybrid model must meet the following requirements:

    • Completed undergraduate degree with a minimum of 180 ECTS (or three-year bachelor’s degree) from a state or state-recognized higher education institution/university.
    • Attained a final grade of at least “satisfactory” or Grade C equivalent (50% marks or above) in the undergraduate degree.
    • Proof of at least one year’s relevant professional work experience in an IT-related field post undergraduate studies.
    • English language proficiency at B2 level of the Common European Framework (CEF), validated by one of the following certificates:
      • TOEFL (minimum 80 points), 
      • IELTS (minimum Level 6), 
      • Duolingo English Test (minimum 95 points), or 
      • Cambridge Certificate (minimum Grade B)


    • Exemption from providing English language proficiency if the applicant's native language is English or if they have graduated from an English-speaking school or university.
    • Students with a GPA above 3.5 (on the German scale) may be accepted provided they have previously completed a subject related Master’s/MBA degree or further education diplomas, post graduate diplomas, etc. (DQR7 or equivalent to DQR 7) Admissibility in these case-by-case scenarios will be checked by IU's admissions team.

  • What are the eligibility criteria specific to applicants who opt for the online-only model of the MS in AI program?

    Applicants for the online-only model must meet the following requirements:

    • Proof of English is not required
    • No minimum GPA requirement
    • Candidates initially hold a ‘participant’ status until they complete the first 50% of their modules. Once they successfully pass 50% of their modules and submit their certified graduation certificate, they can transition to student status.

  • What is an MS in Artificial Intelligence?

    A MS in Artificial Intelligence is a rigorous training program that helps students learn about this powerful technology from scratch and develop work-ready AI skills. It usually covers concepts like machine learning, natural language processing, and computer vision and focuses on the study of AI applications. As a student in the MS in Artificial Intelligence, you will learn how to develop intelligent systems, analyze and interpret data, and design algorithms to make decisions and accurate predictions. A reputed program focuses on practical exposure as well, giving learners a chance to work on hands-on projects and research opportunities in areas like machine learning and deep learning. When you enroll in a MS in Artificial Intelligence, you can embark on a career as a data scientist, AI researcher, machine learning engineer, and AI engineer.

  • What is the fee difference between Fully Online and Hybrid modes of delivery for the MS in Artificial Intelligence program?

    Simplilearn is committed to making our programs accessible and offers a variety of financing options to make them more economical. The current pricing for different delivery modes is as follows:

    • Hybrid: INR 1,78,999 for one semester online + an additional on-campus fee component for the remaining duration, as indicated on the program page. (On-campus fee component prices are subject to change as per University policy. The amount to be paid is applicable at the time of enrolment)
    • Fully Online: INR 4,75,000 for a 120 ECTS program.

  • What are the minimum academic requirements of the course?

    The academic requirements to enroll in this MS in Artificial Intelligence online program are a three-year bachelor’s degree in any field and English as a medium of instruction.

  • What are the prerequisites for the MS in Artificial Intelligence?

    There are no prerequisites for attending the MS in AI online program. Basic technical skills are enough to get started.

  • What is the admission process for this MS in Artificial Intelligence online program by IU?

    The admission process for this MS in Artificial Intelligence online program consists of three easy steps:

    Interested candidates will need to complete the MS in AI application by submitting the documents below:

    • University degree certificate and transcript record for your bachelor’s degree with a score of at least 50%
      • Medium of instruction letter for English/English as medium of instruction for bachelor’s degree
      • Work experience letter
      • Tabular CV
      • Copy of identity card or passport
    • Candidates will be shortlisted by an admission panel based on the application submitted
    • Selected candidates will be awarded an offer of admission that they can accept by paying the MS in ArtificiaI Intelligence Online program fee

  • What should I expect from this MS in Artificial Intelligence online program?

    As a part of this Online MS in Artificial Intelligence, you will receive the following:

    • Degree with IU Germany
    • 18-month post-study work visa
    • 2 international campuses - Berlin and Bad Honnef
    • 94% success rate in employment
    • No IELTS required
    • Free German language course
    • Alumni status from IU

  • What certificate will I receive?

    Upon completing this MS in Artificial Intelligence online program, you will be awarded a degree certificate by IU.

  • What is Global Teaching Assistance?

    Our teaching assistants are a dedicated team of subject matter experts to help you get MS in AI on your first attempt. They proactively engage with you to ensure adherence to the course path and enrich your learning experience, from class onboarding to project mentoring and job assistance.

  • I am not able to access the MS in AI online program. Who can help me?

    Learners with IU login credentials can contact the 24/7 online support provided by IU. If needed, learners can also contact Simplilearn using the form on the right side of any page on the Simplilearn website — select the Live Chat link, or contact Help & Support.

  • What is covered under the 24/7 Support guarantee?

    We offer 24/7 support through email, chat, and calls through our dedicated team and provide on-demand assistance through our community forum. What’s more, you will have lifetime access to the community forum, even after completing your MS in Artificial Intelligence.

  • If I want to cancel my enrollment in this IU MS in Artificial Intelligence online program, can I get a refund?

    Yes, for exceptional cases - where a learner might find it inevitable to continue the MS in Artificial Intelligence online program - we shall consider a refund, subject to the guidelines below.

    Deductions applicable in case of a refund


    Date of Application WIthdrawal

    INR 20,000 [application fee]

    Before the cohort start date

    15% of the total online fee

    Within 15 days of the cohort start date

    No refund

    After 15 days of the cohort start date

    No money would be refunded in case:

    • The learner used unfair means to apply to the MS in Artificial Intelligence Online program
    • The learner misrepresents his/her eligibility

  • What is the Deferral policy for this MS in AI Online program?

    Pre Program Commencement

    • No refunds apply after deferring the program for more than 60 days from his original cohort date.
    • If a learner, due to unavoidable circumstances, is unable to commence the cohort and requests for a deferral before the cohort starts, we provide the opportunity for the learner to defer to another cohort.
    • A learner can request for the deferral to any of the cohorts starting in the next 1 year from the cohort date that the learner was originally enrolled. For the first deferral request, no additional fee shall be levied.
    • If a learner wants to defer his/her enrollment a second time, he/she will have to make an additional payment of INR15,000 as the deferral fee, and this amount shall be non-refundable under any circumstances. Once this payment is done, the learner will be eligible to defer to any of the cohorts starting in the next 1 year from the current cohort.
    • The learner shall be liable to pay the differential program fee between the two cohorts if any unless the price has been decreased in which case no refund will be issued.

    Post Program Commencement

    • If a learner is facing unavoidable issues in continuing with the program, they may opt to defer to another batch at no additional cost.
    • A learner can request for deferral only once and to any of the scheduled cohorts to start in the next 1 year, but no refunds may apply.
    • The learner will be required to pay a deferral fee of INR 15,000 along with the differential program fees between the two cohorts, if any.
    • The deferral request will be approved once the deferral fee is paid.
    • Till this is completed, the learner will be assumed to be continuing in the same cohort.
    • The learner has 7 days (including holidays and weekends) from the date of deferral request to make the payment of the deferral fee post which the deferral request will expire, and the learner will continue as part of the current cohort.
    • If the learner completes the deferral payment, the learner's login will be disabled, the learner will leave the deferred cohort and the learner will start learning in the new cohort from scratch.
    • The deferral can only be requested during the batch for which the learner has enrolled is ongoing. Once the batch has been completed, deferral requests shall not be entertained.

  • What are the learning outcomes of the course?

    This MS in Artificial Intelligence online program is designed to make you an expert in the field and gain job-ready skills. With IUs academic excellence and state-of-the-art student services, you will be prepared for the international business world and showcase your AI skills. By the end of the MS in AI, you will be capable of integrating information, analyzing data, and using actionable insights to improve decision-making.

  • What are the learning goals of MS in AI graduates?

    This MS in Artificial Intelligence online program takes a structured learning approach and teaches students AI concepts starting from basics to advanced levels. Individuals will come across a number of important topics like statistics, machine learning, Python programming, deep learning, computer vision, and natural language processing. The learning goals not only include understanding the AI concepts but also applying them in real-world situations.

  • What is the difference between this MS in AI and other artificial intelligence courses?

    This MS in Artificial Intelligence online course offers a cutting-edge curriculum designed by the renowned International University of Applied Sciences, Germany. Only a few online courses, like ours, are packed with important features like academic excellence, the most up-to-date study material, hands-on learning through industry projects, case studies, virtual labs, blended learning, and career assistance. You will get alumni status from IU, a chance to study in Germany, a post-study work visa for 18 months, and preparation to land your dream job.

  • Do I have the option to attend extra classes apart from the regular sessions?

    The recordings for live virtual classes are made available to the students for future reference. Though there are no extra classes conducted, you can get your doubts resolved through Simplilearn’s round-the-clock learner support.

  • Can I take the MS in AI classes part-time or online?

    The Online MS in AI can either be taken fully online or in blended mode. You can attend the last semester in Germany (two international campuses are available - Berlin or Bad Honnef) to gain a better learning experience and avail of IU’s career services.

  • Are students of MS in Artificial Intelligence guaranteed an internship or a full-time job?

    We offer complete job assistance to learners who enroll in this MS in AI online training program. Simplilearn’s JobAssist program includes resume building, interview preparation tips and a chance to apply to relevant jobs with IIMJobs Pro Membership for six months. In fact, it is noticed that IU graduates receive job offers within 6 months of graduation. However, we can’t guarantee that you will land an internship or a full-time job through this Online MS Artificial Intelligence.

  • What are the careers available after completing MS in artificial intelligence?

    After completing this MS in Artificial Intelligence, you will be eligible to apply for job roles like AI researcher, machine learning engineer, deep learning engineer, NLP scientist, data scientist, computer vision engineer, and so on.

  • What are the core modules covered in the course?

    The key modules covered in this MS in AI program are:

    • Advanced Mathematics
    • Advanced Statistics
    • Programming with Python
    • Machine Learning
    • Deep Learning
    • NLP and Computer Vision
    • Reinforcement Learning

    Along with these modules, you will come across important use cases, seminars, and projects.

  • What is the duration of the course?

    The duration of this MS in Artificial Intelligence online course is 24 months.

  • Who is the faculty for this program?

    The instructors for our MS in Artificial Intelligence online program are highly qualified and have over 15 years of experience in the field. We have a rigorous screening process to select the trainers for our training programs. The mentors explain all the AI concepts in easy-to-understand language and follow a structured training approach.

  • Is a MS in Artificial Intelligence online Program worth it?

    Definitely. Our MS in Artificial Intelligence online program helps you gain a competitive edge over your peers and build job-ready skills. The instruction is offered by top-notch industry experts who have rich domain experience. By enrolling in this MS in AI online program, you will have a clear understanding of various AI concepts like machine learning, natural language processing, computer vision, deep learning, neural networks, and so on.

  • Does MS in AI require coding?

    No, knowledge of coding is not mandatory for taking up this MS in Artificial Intelligence. It would, however, be beneficial to grasp the concepts faster.

  • Does MS in Artificial Intelligence applicant have an admission interview?

    No, as part of the admission process, you need to submit an application form along with the required documents only. Based on those forms, an admission panel will shortlist the candidates.

  • What skills should I have to be successful in the MS in AI if admitted?

    You should have a knack for learning various AI concepts and applying them in real-world scenarios if you want to be successful in our MS in AI online program. You will be able to develop the rest of the skills after accessing our online classes and study materials.

  • Can I continue to work and take classes part-time or online?

    Indeed, our online Bootcamps are designed specifically for working professionals who can’t take out extra time off their busy schedule to opt for a full-time on-campus course. Learners can access our course materials anytime, anywhere, and follow them at a comfortable pace.

  • Disclaimer
  • PMP, PMI, PMBOK, CAPM, PgMP, PfMP, ACP, PBA, RMP, SP, and OPM3 are registered marks of the Project Management Institute, Inc.