M. Tech. in Artificial Intelligence and Data Science is a program offered at Department of Computer Science and Engineering, School of Engineering, Amrita Vishwa Vidyapeetham, Coimbatore campus.
Building human-level thought processes through the creation of artificial intelligence (AI) is the state-of-the-art in Computer Science. Intelligent machines are influenced by emerging technologies, smart devices, sensors, computing power, faster data processing, huge storage and human-machine interaction capabilities. Data Science is an interdisciplinary field with the ability to extract knowledge/insights from data - be it structured, unstructured, or semi-structured data. Twinned with Artificial Intelligence, more efficient solutions to find meaningful information from huge pools of data are possible today, with data from multiple sources - sensors, images, streaming video, satellite, medical imagery and the cloud. This graduate program has a comprehensive coverage of applied mathematics used in data science and artificial intelligence while preparing the students to analyze, design and experiment solutions to problems. The curriculum targets technical and design skills, AI knowledge, and competencies needed to master strategic analytical methods and tools, and data management, with the objective of creating innovative strategies to solve challenging real-world problems.
Why M.Tech in Artificial Intelligence and Data Science?
Artificial Intelligence (AI) and Data Science (DS) gain its significance due to the exploration of Internet. With the rapid growth of computers and computing, AI and DS are inevitable and provide powerful solutions to smart environments including Internet of Things and Industry 4.0.
AI and DS delivers data driven solution using computational principles, methods and systems for extracting knowledge from data and modern computational systems that demonstrate capabilities of perception, reasoning, learning and action that are typical of human intelligence
What the students will learn?
Students will gain thorough knowledge in: Intelligent Systems, Machine Learning, Deep Learning, Reinforcement Learning, Natural Language Processing, Text Technologies for Data Science, Data Analytics and Mining, Big Data Management, Data Visualization, Bayesian Data Analysis, Probabilistic Modeling and Reasoning, Cloud Technologies, Internet of Things, Statistical Learning.
Where will the students land?
A semester or one year abroad programme is offered in premiere universities like KTH - Sweden, Politecnico Di Milano– Italy, University of New Mexico- USA, RWTH – Aachen University Germany,
Students will have the opportunity to take up a dual degree programme (M. Tech from Amrita and MS from International universities)
Fully paid Internships and placement offers at MNCs and IT/ITES companies. Graduates will have the opportunities to serve as a Data Scientist, Data Engineer, Expert Analyst, Applied Machine Learning Scientist, in R &D divisions of MNCs like Cisco, IBM, Cerner, Inside View, Oracle, MuSigma, ThermoFisher Scientific, Tata Consultancy Services
Graduates will be fully equipped to take up PhD in AI and DS at top Universities across the globe.
Some Statistics of Department of Computer Science and Engineering:
|Internship||Rs. 25,000/- to Rs. 55,000/-|
|Placement||Highest Pay Package: Rs. 29.6 Lakhs per annum|
|Research Articles Published||750+|
|Research Grant Received||Rs. 3.5 Crores|
|19MA608||F||Linear Algebra and Optimization||3||0||2||4|
|19AD601/ 19AD602||SC||Data Structures and Algorithms/Scalable Algorithms for Data Analysis||3||0||3||4|
|19AD603||C||Foundations of Data Science||3||0||3||4|
|19AD604||C||Principles of AI and Machine Learning||3||0||3||4|
|19AD605||C||Distributed System Technologies||2||0||3||3|
|19HU601||HU||Amrita Values Program∗||P/F|
|19AD611||C||ANN and Deep Learning||3||0||3||4|
|19AD612||C||Scalable Systems for Data Science||2||0||3||3|
|19AD613||C||Probabilistic Graphical Models||3||0||3||4|
|19AD614||C||Data Science Applications of NLP||2||0||3||3|
|19AD615||C||Data Science Applications of Vision||2||0||3||3|
|5.||Research Methodology/Amrita Values Program||3|