This track course has been designed to prepare engineering graduates who can

• Understand the concept of control theory in designing Robotic vision systems
• Design ROBOTS to solve real industry problems
• Hands-on experience to understand the use of sensors and actuators in building intelligent robots
• Explored advanced high-performance computing tools to solve complex problems
• Explored to know how to interface and interact between Robots and Humans.
• Understanding of optimization problems of robot motion
• Collaborate with industry and institute academia who have excelled in the robotics domain

Overview:

• Robotics and AI deal with building "Smart Robots" that can interact with its environment using unsupervised learning, skill acquisition, active learning, exploration, and reinforcement.
• Smart Robots have applications in several fields including manufacturing, healthcare, and transportation
• Companies like Amazon and Flipkart use Smart Robots to manage their warehouses cutting down costs and increasing efficiency
• Driverless cars are another example of Smart Robotics that is taking the world by storm

Opportunities:

• Industry partners, such as Amazon, Google, and Apple, seek to hire graduates with the skills needed for these jobs, leading to a high demand for graduates with robotics expertise. The Bureau of Labour Statistics predicts job growth rates of four percent for the field of robotics over the next decade. The figure is expected to increase as society becomes increasingly reliant on robotics technology. This track will prepare students for careers in robotics and related fields by providing them with the knowledge and skills necessary to succeed in this rapidly growing industry
• The number of startups and investments by Venture Capitalists in the Robotics and AI space is growing rapidly, promising higher salaries and better opportunities in the future

The salary package differs for every job profile.

Course Curriculum:

• In the fifth semester, students are introduced to Robotic Engineering and Applications of Robotics through courses "Introduction to Robotic Engineering" and "Fundamentals of AI/ML"
• In the sixth semester, students explore how to build Robots in courses "Advanced Robotic Engineering", "Sensors, Actuators and Smart Environments" "AI & Deep Neural Applications for Mobile Robots", and "HPC (Data Processing) for AI"
• In the seventh semester, students are given a system-level perspective of Robotic systems and advanced Robotics and AI through courses "Real-time Systems", "Human-Computer Interaction" and "Novel Applications of Intelligent Robots"
• Advanced courses will be taught in due semesters
• In the eighth-semester students test the skills they acquired on a real-work Robotics and AI project
• In Robotics and AI, students teach robots to predict what happens when robots move objects around, in order to learn about the world around them and make better, safer decisions without supervision
• Students will also apply advances in deep learning to robot motion planning, navigation, and the exciting and demanding world of self-driving cars and such to improve their safety and reliability
• Experts in Robotics and AI, command salaries of about Rs. 1 crore per annum
• By learning about Robotics and AI today, you will be ready for the opportunities of tomorrow

This track course has been designed to prepare engineering graduates who can

• Develop real-time data analysis skills set, which can be applied to practical problems.
• Excel in fundamental knowledge of concepts underlying data science projects
• To develop practical skills needed in modern analytics
• Explain how to build mathematical models and information sciences to build better algorithms and software
• Have hands-on experience with real-world data analysis to solve societal problems
• Develop applied experience with data science software, programming, applications, and Processes
• Learn to analyze big data using intelligent techniques
• Understand the various search methods and visualization and mining data stream techniques.
• Expertise in the applications using Map Reduce Concepts and advanced data computing tools
• Provide engineering services to e-Commerce domains
• Collaborate with leading Data science frontrunners and other domain experts for the design and implementation of new business and implementation techniques

Overview:

• Data science is a multidisciplinary field that uses mathematics, statistics, and computer science to extract knowledge and insights from structured and unstructured data
• As business technology has advanced exponentially in recent years, data-driven decision-making has become a much more fundamental part of all sorts of industries, including important fields like medicine, transportation, and equipment manufacturing
• Companies like Google, Amazon, Netflix, Facebook, Flipkart, Ola, and Swiggy, which use Data Science, have witnessed huge growth and profits
• Companies like Google, Facebook, Intel, Microsoft, Twitter, Ford, Intel, and Apple have successfully integrated Data Science into their products and are seeing a growth of about 30% improvement in areas like revenue, growth rate, and efficiency

Opportunities:

• Bangalore, Pune, Delhi, Mumbai, Chennai, and Hyderabad have the highest number of Data Science job openings
• The number of startups and investments by Venture Capitalists in the Data Science space is growing exponentially
• The Data Science field is growing rapidly, promising higher salaries and better opportunities in the future

The salary package differs for every job profile.

How are Data Scientists different from Business Analysts or Data Analysts?

Course Curriculum:

• Data Science sits at the heart of mathematics, statistics, and computer science
• These foundational courses are taught in the first and second academic years
• The Data Science program consists of a total of eight courses taught in the third and fourth years, along with one main project
• Foundational courses like "Machine Learning Algorithms" and "Introduction to Data Science" are taught in the fifth semester
• The sixth-semester course covers data processing and analysis techniques in courses "Data Visualization" and "Statistics" along with an introductory course in Artificial Intelligence in the "Fundamentals of AI" course
• The seventh semester covers advanced Data Science technologies and uses cases like "Advanced Artificial Intelligence", "Data Munging", "Data Science Case Studies" and "Big Data for Data Science"
• Some advanced courses will also be taught in due semesters
• Harvard Business Review called Data Science "The Most Attractive Job of the 21st Century".
• Data Science is fundamentally changing how businesses make decisions that are backed up by hard data rather than making decisions that are intuitive or based on observation alone

This track course has been designed to prepare engineering graduates who can

• Understand the basics of Intelligent Transport System (ITS) technologies and industry applications of the field
• understanding of highway planning, design, problems in designing road geometrics, and various methods of collecting traffic data.
• learn the importance of road safety and further explore how AI will help to solve real-world traffic problems
• Explored understanding of the Concepts of Supply Chain Management, Lean Logistics, Customer Accommodation, Inventory Management, Role of Transportation, Warehousing, Packaging, and Materials Handling
• Learn about Efficient and effective fleet management and Ai case study to maximize the supply and chain
• understand computer-supported cooperative work, multimodal and "next generation" interfaces, speech, and natural language interfaces, and augmented reality and virtuality
• Design the software to solve transport problems
• Explored understanding of the various technologies and systems used to implement advanced driver assistance systems.

Overview:

• An intelligent transportation system (ITS) aims to provide innovative services relating to different modes of transport and traffic management and enable users to be better informed and make safer, more coordinated, and smarter use of transport networks
• Logistics is the management of the flow of goods from the point of origin to the point of consumption in order to meet the requirements of customers or corporations
• With the proliferation of the Internet and Smartphones, e-commerce is growing by double or even triple digits annually, leading to the exponential growth of opportunities in these fields.
• E-commerce Companies like Amazon, Flipkart, Swiggy, Uber, and Ola are witnessing huge growth by making use of Intelligent Transport Systems and Logistics
• There is also a growing trend of driverless vehicles led by companies like Waymo and Tesla that is growing exponentially

Opportunities:

• Vehicle manufacturing companies and Venture Capitals have committed north of $100 B, for the development of Intelligent Transport Systems like driverless vehicles, smart warehouses, and intelligent algorithms to optimize transportation systems
• The Intelligent Transport Systems and Logistics field is growing at a rapid pace, promising attractive salaries
• You will have a wide range of demanding job prospects given your engineering background and knowledge of transportation systems.
• Several members of our alumni work as consultants or as road or rail engineers for local governments
• A production business may hire you to handle its complete logistics network as a logistics manager
• Another choice is to work for a technology firm like Ericsson, which creates traffic and transportation systems, and where your knowledge will be very helpful. Also, you'll be well-equipped for a research career.

The salary package differs for every job profile.

Course Curriculum:

• The track consists of a total of eight courses taught in the third and fourth years, along with one main project
• The foundational courses like programming and embedded systems are taught in the first and second academic years
• Students are introduced to Autonomous Vehicles and Transportation Systems through courses "Introduction to Autonomous Vehicles" and "Introduction to Transportation" in the fifth semester
• The sixth-semester course covers the backbone technologies in courses "Logistics & Supply Chain", "Fleet Management", "Smart Warehouses" and "AI for Autonomous Vehicles"
• In the seventh semester, students are given the system-level perspective in courses "Advanced Autonomous Vehicles" and other advanced courses
• In the eighth semester, students will use their acquired knowledge to do a hands-on project
• Intelligent Transport Systems like Driverless Cars, coupled with advances in Logistics, are here to take us into the future
• The growth of e-commerce and the rise of companies like Uber, Ola, and Swiggy are fuelling the double-digit growth in this area
• Intelligent Transport Systems and Logistics is poised to forge a bright future of endless new possibilities
• Experts enjoy salaries of about Rs. 1 crore per annum. Let’s drive into the future by learning about Driverless Cars, Intelligent Transport Systems, and Logistic