Boost career prospects with a British degree & study in Berlin or Bad Honnef
AI Engineer and Data Scientist course by Simplilearn
Opportunity to work in the 4th largest economy of the world
IU graduates receive job offers within 6 months of graduation
Gain the right skills to achieve top-level career positions with this Master 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 supplemenatry skills to help you build a network, socialize, and benefit from real-time, practical teaching.
London South Bank University (LSBU) has provided excellent education since 1892. LSBU stands out for its internationality and is committed to providing the best career opportunities with over 18,000 students from more than 130 countries.
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 online Master's 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 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 Master’s in AI 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 MS in AI 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 course 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 artificial intelligence (AI) course to build a running AI model or system. This course 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 AI 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 Master 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 Master’s 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 Master’s 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 master’s course also introduces cloud computing and compares different common public cloud offerings.
Understand the concepts involved in IT project management. This master’s course 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 AI. 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.
Learn Artificial Intelligence's concept, purpose, domain breadth, phases, implementations, and impact. Create real-world projects, games and prediction models.
Learn fundamentals of Data Science and get hands-on experience with technologies like R, Python, Machine Learning, Tableau, Hadoop, and Spark.
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.
Complete application process by submitting the required documents
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 program, candidates should have:
1+ years of work experience preferred
A bachelor's degree with an average of 50% or higher marks
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:
For admission to this MS in Artificial Intelligence online program, candidates must satisfy the following criteria:
The admission process for this Master in Artificial Intelligence online program consists of three easy steps:
Interested candidates will need to complete the application by submitting the documents below:
As a part of this Master in Artificial Intelligence, you will receive the following:
Upon completing this MS in Artificial Intelligence online program, you will be awarded a degree certificate by IU. You also have the option to get your degree accredited by London South Bank University (LSBU).
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.
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.
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 AI.
Yes, for exceptional cases - where a learner might find it inevitable to continue the 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
After 15 days of the cohort start date
No money would be refunded in case:
Pre Program Commencement
Post Program Commencement
This Master in Artificial Intelligence online program is designed to make you an expert in the field and gain job-ready skills. With IU’s and LSBU’s 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 program, you will be capable of integrating information, analyzing data, and using actionable insights to improve decision-making.
The academic requirements to enroll in this MS in AI online program are a bachelor’s degree in any field and English as a medium of instruction.
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.
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, dual degree, 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 and LSBU, a chance to study in Germany, a post-study work visa for 18 months, and preparation to land your dream job.
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.
The MS in Artificial Intelligence online program 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.
We offer complete job assistance to learners who enroll in this MS in AI 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 program.
After completing this Master 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.
The key modules covered in this MS in AI program are:
Along with these modules, you will come across important use cases, seminars, and projects.
The duration of this MS in Artificial Intelligence online course is 24 months.
The MS in AI online program is designed by the International University of Applied Sciences (IU) Germany in collaboration with the London South Bank University (LSBU). So, on completing the program successfully, you will receive a degree certificate by IU that can be accredited by LSBU, meaning a dual degree.
The instructors for our Master 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.