What is intelligent behaviour? How do computers recognize faces and objects? In this programme, you will learn how to design and implement intelligent systems.

This Master's programme has a selection procedure. The application deadline is 1 May 2023. For more information about the selection procedure, please check here .

These technologically advanced systems can perceive and respond to the world around them. Intelligent systems can take many forms, from facial recognition at security checks to automated vacuums and OpenAI's DALL-E that generate digital images from natural language descriptions. The Master's programme in Artificial Intelligence is made up of three core topics, reflected in three specializations: Computational Learning, Multi-Agent Systems, and Robotics.

The School of Computer Science and Applications at REVA UNIVERSITY is offering a Master of Science in Data Science (M.Sc.) – a two-year postgraduate programme. Data Science is a multidisciplinary field that utilizes scientific inference and mathematical algorithms to extricate important insights from a lot of structured and unstructured data. The aim of this programme is to produce postgraduates with advanced knowledge and understanding of Data Science; higher order critical, analytical, problem-solving, and transferable skills; ability to think rigorously and independently to meet higher level expectations of the ICT industry, academics, and research establishments or take up the entrepreneurial route. The programme is designed to develop human resources to meet the challenges of the ever-growing technologically advanced IT industry and the digital revolution.

The global big data and business analytics market stood at US$ 169 billion in 2018 and is projected to grow to US$ 274 billion by 2022. PwC report predicts that by 2022, there will be around 3.5 million job postings in Data Science and Analytics in the US alone. According to TeamLease, India is staring at a shortage of 2, 00,000 analytics professionals over the next 3 years. Some of the career opportunities that require data analytics professionals are Big Data Engineer, Big Data Analyst, Big Data Analytics Architect, Big Data Solution Architect, Analytics Associate, Metrics and Analytics Specialist, Big Data Analytics Business Consultant, and Business Intelligence and Analytics Consultant.

Machine Learning Crash Course
with TensorFlow APIs
Google's fast-paced, practical introduction to machine learning, featuring a series of lessons with video lectures, real-world case studies, and hands-on practice exercises.

Have you ever wanted to build a new musical instrument that responded to your gestures by making sound? Or create live visuals to accompany a dancer? Or create an interactive art installation that reacts to the movements or actions of an audience? If so, take this course!

In this course, students will learn fundamental machine learning techniques that can be used to make sense of human gesture, musical audio, and other real-time data. The focus will be on learning about algorithms, software tools, and best practices that can be immediately employed in creating new real-time systems in the arts.

Specific topics of discussion include:

• What is machine learning?

• Common types of machine learning for making sense of human actions and sensor data, with a focus on classification, regression, and segmentation

• The “machine learning pipeline”: understanding how signals, features, algorithms, and models fit together, and how to select and configure each part of this pipeline to get good analysis results

• Off-the-shelf tools for machine learning (e.g., Wekinator, Weka, GestureFollower)

• Feature extraction and analysis techniques that are well-suited for music, dance, gaming, and visual art, especially for human motion analysis and audio analysis

• How to connect your machine learning tools to common digital arts tools such as Max/MSP, PD, ChucK, Processing, Unity 3D, SuperCollider, OpenFrameworks

• Introduction to cheap & easy sensing technologies that can be used as inputs to machine learning systems (e.g., Kinect, computer vision, hardware sensors, gaming controllers)

Du hast einen Bachelorabschluss im Bereich Informatik oder einer verwandten Disziplin in der Tasche? – Glückwunsch! Denn Du hast Dich für ein Gebiet entschieden, das sich rasant verändert, am Puls unserer Zeit liegt und zum Schrittmacher für die digitale Gesellschaft der Zukunft geworden ist. Im Master Computer Science setzt Du diese Reise mit einem Fokus auf Data Science, Cyber-Sicherheit und Künstliche Intelligenz fort. Durch den ungedeckten Bedarf an Expert:innen für diese Themen wirst Du zu einer begehrten Fachkraft, die in nahezu allen Branchen einsatzfähig ist. Dein Masterstudium in Computer Science vermittelt Dir dafür alle notwendigen Kompetenzen, um auf dem internationalen Arbeitsmarkt erfolgreich durchzustarten.

The Computational Biology Department’s Masters of Science in Automated Science: Biological Experimentation (MSAS) program trains practitioners in the design, implementation, and application of laboratory automation and artificial intelligence in scientific research. Students train with world-class faculty, including those from the top-ranked School of Computer Science.

Graduates become leaders in the emerging paradigm of Automated Science – the combination of robotic scientific instruments, Machine Learning, and Artificial Intelligence for iteratively building predictive models from experimental data and selecting new experiments to improve them. Students have opportunities to do research projects with Carnegie Mellon Faculty, to do summer internships with relevant companies, and to do collaborative projects with industrial sponsors.

Our graduates are prepared for rewarding jobs in industry or to pursue their doctoral degrees at top universities.

Computer science and technology will be in our future and employment of IT experts is projected to grow 12% from now until 2028. By considering the rapid rise of innovative tech as drivers of the global economy, the Master in Computer Science – Cybersecurity, Artificial Intelligence and Data Science offers students a broad foundation in modern software and hardware systems and an in-depth knowledge of the new applications of IT. The master program covers the latest technologies from Artificial Intelligence to Data Science, Internet of Things and machine learning and their applications to the cloud and mobile apps and systems.
Students will develop a comprehensive knowledge of the fundamental of software engineering and data management and an in-depth understanding of artificial intelligence principles and technologies, big data analytics and cybersecurity.

Do you know the difference between AI and machine learning? Do you know how they affect you, your career path, and the world around us? After taking the courses in this learning path, you'll have a mastery of the concepts and future directions of technologies like artificial intelligence and machine learning. You'll be able to make more informed decisions and contributions in your work envrionment.

Gain a clear and detailed understanding of how AI and machine learning work.
Learn how leading companies are using AI and machine learning to change the way they do business.
Learn how the next generation of thinking about AI is addressing issues of accountability, security, and explainability.

Self-driving cars, robotic manufacturing and machine translations: examples of how AI has become integrated in society. In this master programme you will become an expert in a rapidly evolving discipline.

This is an Artificial Intelligence Engineer master’s course that is a comprehensive learning approach for mastering the domains of Artificial Intelligence, Data Science, Business Analytics, Business Intelligence, Python coding and Deep Learning with TensorFlow. Upon the completion of the training, you will be able to take on challenging roles in the Artificial Intelligence domain.

Learn concept of AI such as machine learning, deep-learning, support vector machine which is related to linear algebra

- Learn how to use linear algebra for AI algorithm.
- After completing this course, you are able to understand AI algorithm and basics of linear algebra for AI applications.

Gain expertise in one of the most fascinating and fastest growing areas of computer science. The MicroMasters program gives learners a rigorous, advanced, professional, graduate-level foundation in Artificial Intelligence. The individual courses include:

Animation and CGI Motion
Artificial Intelligence (AI)
Machine Learning
Robotics