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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.
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.
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.
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.
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.
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 the required documents and choose between Online or Hybrid mode
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:
Applicants for the hybrid model must meet the following requirements:
Note:
Applicants for the online-only model must meet the following requirements:
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.
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:
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.
There are no prerequisites for attending the MS in AI online program. Basic technical skills are enough to get started.