M.Tech in Artificial Intelligence and Data Science

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M. Tech in Artificial Intelligence and Data Science

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Course Objective

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The objective of this program is to train students with a B.Tech degree in any of Computer Science and Engineering, Electronics & Communications Engineering, or Electrical and Electronics Engineering, academically and through practice, to specialize in Artificial Intelligence and Data Science and earn a Master’s degree in this domain. Students with a B.Tech in Artificial Intelligence are also welcomed if they are interested in earning a higher degree and acquiring greater depth of specialization in this domain.

In accordance with the stated objective, this program provides in the first two semesters courses that build up his/her understanding of Data Bases, Big Data Analytics and also the approaches and tools of High Performance Computing(HPC). It also introduces fundamentals of Natural Language Processing (NLP) and Digital Image Processing and then follows it up with corresponding courses in Computational Sequence Modelling and Deep Learning. NLP and Image Processing and their mappings into Sequence Modelling and Deep Learning form the common basis of this program and acquiring professional competence in Artificial Intelligence. Students are also introduced to Reinforcement Learning with a flavor of Autonomous Systems. Additionally, they are introduced to Financial Risk Management where Data Analytics is going to play a growing role. Further, students are given the option of specializing in any one of the following three streams: Bio-Informatics, Communications, or Smart Industry. Each stream has a basic course followed by an advanced course.

The products of the M.Tech. in Data Science and Artificial Intelligence; i.e. the graduating students, are expected to be imbued with both motivation and competence to enter the fast-changing professional world of Artificial Intelligence and Data Science, or delve deeper into this domain and advance the state of the art by embarking into a Doctoral program in a related domain.
Total Credits: 63

Prior Degree needed: B.Tech in CSE, AI, ECE or EEE.

^*The extension of work visa period for students pursuing their Masters in France has been extended to 5 years from 2 years.

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Credit of Course

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Semester 1

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	Code	Course	Credits
1	AI 5101	Advanced Database Systems	3
2	AI 5102	High Performance Computing	3
3	AI 5103	Machine Learning	3
4	AI 5104	Mathematics for AI and Data Science	3
5	AI 5105	Fundamentals of Artificial Intelligence	3
			15

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Semester 2

[/fusion_title][fusion_table fusion_table_type=”2″ fusion_table_rows=”8″ fusion_table_columns=”4″ hide_on_mobile=”small-visibility,medium-visibility,large-visibility” animation_direction=”left” animation_speed=”0.3″ animation_delay=”0″]

	Code	Course	Credits
1	AI 5201	Big Data Analytics	3
2	AI 5202	Computer Vision	3
3	AI 5203	Natural Language Processing	3
4	AI 5204	Neural Networks and Deep Learning	3
5	AI 5205 to AI 5207	Elective Basket One: Any one of these three: Computational Biology (5205), OR Communication Theory with 5G (5206), OR Control Systems (5207)	3
6	AI 5208	Seminar Paper	1
			16

Semester 3

	Code	Course	Credits
1	AI 5301	Computational Sequence Modelling	3
2	AI 5302	Financial Risk Management	3
3	AI 5303 to AI 5305	Elective Basket Two : Any of these three: Computational Genomics (5303), Deep Learning in Communications (5304) , Artificial Intelligence in Industry 4.0 (5305)	3
4	AI 5306	Elective – 3 (Free)	3
5	AI 5307	Dissertation Project	2
			14

Semester 4

[/fusion_title][fusion_table fusion_table_type=”2″ fusion_table_rows=”3″ fusion_table_columns=”4″ hide_on_mobile=”small-visibility,medium-visibility,large-visibility” animation_direction=”left” animation_speed=”0.3″ animation_delay=”0″]

	Code	Course	Credits
1	AI 5401	Dissertation Project	16

Summer Semester

	Code	Course	Credits
1	AI 5	Industry Internship	2
Total Credits			63

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Credit of Course

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Semester 01

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S.No.	Course Name	Credit	Remarks
01	Advanced Database Systems	3	Builds upwards from B.Tech level DBMS.
02	High Performance Computing	3	Essentials of HPC along with GPU programming concepts also to be covered.
03	Mathematics for AI and Data Science	3	Covers Linear Algebra and Matrices. Specific elements of Probability and Statistics. Optimization techniques as relevant to AI & ML.
04	Applied Machine Learning	3	Machine Learning with relevant programming aspects.
05	Natural Language Processing	3	Natural Language Processing

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Semester 02

S.No.	Course Name	Credit	Remarks
01	Big Data Analytics	3	Big Data concepts and platforms with utilization of HPC.
02	Reinforcement Learning	3	From the start of Markov decision process through Q-Learning to multi-agent systems to actor-critic formalisms to Deep QNNs to practical examples.
03	Digital Image Processing	3	Fundamentals, Image enhancements, Image Segmentation, restoration, representations and descriptors.
04	Neural Networks and Deep Learning	3	ANNs, backpropagation and related algorithms. CNNs. Real time computations. GANs. Explainability.
05	Elective Basket One: Any one of these three:Foundational Bio-informatics OR Communication Theory OR Control Systems	3	Each of these 3 options represent a Theme or Stream Area. The Electives in the next semester would be in sync with these.

Summer

S.No.	Course Name	Credit	Remarks
01	Industry Internship	2	To have an exposure of industry

Semester 03

S.No.	Course Name	Credit	Remarks
01	Computational Sequence Modelling	3	Recurrent Neural Networks, LSTMs and GRUs, applications to regression and classification problems in sequences, Word Embeddings and models, Encoder-Decoder frameworks, Neural Machine Translation, BEAM search, Attention Models and Transformers, video activity recognition.
02	Financial Risk Management	3	Foundations of Risk Management, Financial Markets & Products, Valuation & Risk Models, Quantitative Analysis and role of Big Data, Market Risk Management, Credit Risk Management, Risk and Investment Management, Operational and Integrated Risk Management
03	Elective – 2	3	Advance Elective course consistent with Elective Basket One: 1)Computational Genomics OR 2)Deep Learning in Communications OR 3)Industrial Informatics and Algorithmic IoT
04	Elective – 3	3	Free Elective
05	Dissertation Project	2	Problem Statement Identification

Semester 04

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S.No.	Course Name	Credit	Remarks
01	Dissertation Project	16	Project Demonstration with Publication

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Credit of Course

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M.Tech in Artificial Intelligence and Data Science

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