Artificial Intelligence & Data Science
(M.Tech.)
Overview
Artificial Intelligence and Data Science, as branches of M.Tech, integrate advanced methodologies from statistics, cognitive science, computing, and information science to drive intelligent decision-making through data. These fields focus on extracting actionable insights from vast datasets, employing sophisticated techniques such as machine learning, deep learning, and big data analytics to solve complex computational and real-world challenges.
In the M.Tech program, students are equipped with the expertise to design and develop cutting-edge AI and data science-based solutions, using the latest tools and technologies. The curriculum dives deeper into advanced research areas, enabling students to innovate and create intelligent systems for industries like manufacturing, healthcare, finance, and e-commerce. Graduates acquire specialized knowledge in data visualization, data-driven decision-making, and handling large-scale data, positioning them to contribute significantly to technological advancements and industry-specific applications.
This postgraduate program is ideal for those looking to advance in careers that require high-level problem-solving skills and innovative thinking, preparing students for research, leadership roles, or specialized positions in AI and data science.
Vision
To be a leading center of excellence in Artificial Intelligence and Data Science, fostering innovation and advanced research. The program aims to produce skilled professionals who can drive the next wave of technological advancements, contributing significantly to societal and industrial transformation through data-driven insights and intelligent systems.
Mission
DM 1 : To provide advanced education and training in AI and Data Science by integrating theoretical knowledge with hands-on experience using the latest tools and technologies.
DM 2 : To foster innovation and research, encouraging students to address complex real-world problems by developing intelligent, data-driven solutions.
DM 3 : To prepare graduates for leadership roles in various industries, enabling them to contribute to sectors like healthcare, finance, manufacturing, and e-commerce with cutting-edge AI and data science applications.
DM 4 : To promote interdisciplinary learning, combining techniques from various fields such as cognitive science, machine learning, and data analytics, preparing students for the future of intelligent automation and decision-making.
Program Educational Objectives
PEO 1: Work effectively in inter-disciplinary field with the knowledge of Artificial Intelligence and Machine Learning to develop solutions to the real-world problems.
PEO 2: To communicate and work effectively on team based engineering projects and will practice the ethics of their profession consistent with a sense of social responsibility.
PEO 3: Excel as socially committed engineers or entrepreneurs with high ethical and moral values.
Program Specific Outcomes
PSO1: Apply fundamental concepts of Data Sciences, Artificial Intelligence and Machine Learning to solve multidisciplinary engineering problems.
PSO2: To communicate and work effectively on team based engineering projects and will practice the ethics of their profession.
Academic Facilities
Placements
| S.No | Academic Year | No. of Companies Visited | No. of Students Placed |
| 1 | 2023-24 | 26 | 119 |
| 2 | 2022-23 | 33 | 120 |
| 3 | 2021-22 | 29 | 125 |
Faculty Details
R & D Activities
Books/Book Chapters
| S.No | Academic Year | Download |
|---|---|---|
| 1 | 2024-25 | Download |
| 2 | 2023-24 | Download |
| 3 | 2022-23 | Download |
MOUs
| S.No | Academic Year | Number of MOUs | List |
|---|---|---|---|
| 1 | 2024-25 | 02 |
|
| 2 | 2023-24 | 04 |
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| 3 | 2022-23 | 05 |
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Students Achievements
Students Participation in Events within the State (Inter Institute Events)
| S.No | Roll Number | Name of The Student | Name of the Event | Name of the Organization | Location | Date |
|---|
Students Participation in Events Outside the State
| S.No | Roll Number | Name of The Student | Name of the Event | Name of the Organization | Location | Date |
|---|
Prizes/Award Received in Events
| S.No | Roll Number | Name of the Student | Name of the Event | Name of the Organization | Location | Date | Achievement |
|---|
Academic Year (2024-25)
| S. No. | Name of the Faculty | Title of the Paper | Journal Name | Vol, Issue, PP | ISBN/ ISSN No. | DOI |
|---|
Academic Year (2023-24)
| S. No. | Name of the Faculty | Title of the Paper | Journal Name | Vol, Issue, PP | ISBN/ISSN No. | DOI |
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Academic Year (2022-23)
| S. No. | Name of the Faculty | Title of the Paper | Journal Name | Vol., Issue, PP | ISBN/ ISSN No. | DOI |
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Content for Tab 3
This is the third tab’s content.
Events
Online Content Development
Projects
E-Resources
Roll of Honour
I Year III Year IV YearOBE
CO - PO Mapping A.Y-2022-23
CO - PO Mapping A.Y-2021-22
CO - PO Mapping A.Y-2020-21
CO - PO Mapping A.Y-2019-20
CO - PO Mapping A.Y-2018-19
Newsletter
Overview
Artificial Intelligence and Data Science, as branches of M.Tech, integrate advanced methodologies from statistics, cognitive science, computing, and information science to drive intelligent decision-making through data. These fields focus on extracting actionable insights from vast datasets, employing sophisticated techniques such as machine learning, deep learning, and big data analytics to solve complex computational and real-world challenges.
In the M.Tech program, students are equipped with the expertise to design and develop cutting-edge AI and data science-based solutions, using the latest tools and technologies. The curriculum dives deeper into advanced research areas, enabling students to innovate and create intelligent systems for industries like manufacturing, healthcare, finance, and e-commerce. Graduates acquire specialized knowledge in data visualization, data-driven decision-making, and handling large-scale data, positioning them to contribute significantly to technological advancements and industry-specific applications.
This postgraduate program is ideal for those looking to advance in careers that require high-level problem-solving skills and innovative thinking, preparing students for research, leadership roles, or specialized positions in AI and data science.
Vision
To be a leading center of excellence in Artificial Intelligence and Data Science, fostering innovation and advanced research. The program aims to produce skilled professionals who can drive the next wave of technological advancements, contributing significantly to societal and industrial transformation through data-driven insights and intelligent systems.
Mission
DM 1 : To provide advanced education and training in AI and Data Science by integrating theoretical knowledge with hands-on experience using the latest tools and technologies.
DM 2 : To foster innovation and research, encouraging students to address complex real-world problems by developing intelligent, data-driven solutions.
DM 3 : To prepare graduates for leadership roles in various industries, enabling them to contribute to sectors like healthcare, finance, manufacturing, and e-commerce with cutting-edge AI and data science applications.
DM 4 : To promote interdisciplinary learning, combining techniques from various fields such as cognitive science, machine learning, and data analytics, preparing students for the future of intelligent automation and decision-making.
Program Educational Objectives
PEO 1: Work effectively in inter-disciplinary field with the knowledge of Artificial Intelligence and Machine Learning to develop solutions to the real-world problems.
PEO 2: To communicate and work effectively on team based engineering projects and will practice the ethics of their profession consistent with a sense of social responsibility.
PEO 3: Excel as socially committed engineers or entrepreneurs with high ethical and moral values.
Program Specific Outcomes
PSO1: Apply fundamental concepts of Data Sciences, Artificial Intelligence and Machine Learning to solve multidisciplinary engineering problems.
PSO2: To communicate and work effectively on team based engineering projects and will practice the ethics of their profession.