. Artificial Intelligence and Data Science | NGPiTECH
Programme Name Artificial Intelligence and Data Science
Duration 4 Years Full-time
Counseling Code
2736

What is AI&DS?

Artificial Intelligence & Data Science Program provide the foundation and advanced skills in the principles and technologies that underlie AI, including logic, knowledge representation, probabilistic models, and machine learning.

Why Study AI&DS at NGPiTech

Artificial Intelligence and Data Science at Dr.N.G.P. Institute of Institute of Technology has been developed by a collaborative partnership of academicians and industry partners

Industry Powered Centers Oracle academy, ICT DELL-EMC, Red Hat Academy, AOSTA Incubation center
National Cyber Defence Research Centre To enhance practical knowledge in Artificial Intelligence and Cyber Security
Collaborate and engage

AI Lab

Dr.N.G.P.iTECH’s AI Lab is featured with one of the most powerful high-performance computers in the Higher Education sector and our students get industry learning experience in our AI Lab

What you will study

  • Core programming skills and techniques, including designing and coding applications, and the important principles of code design and development
  • Data science tools and techniques, including the principles of data science, data analysis, visualisation and interpretation, and the use of “big data”.
  • Artificial intelligence tools and techniques, including problem-solving, knowledge representation, machine learning, computer vision, human-computer interactions and information diffusion.
  • Ethical Hacking and data science, exploring the ethical, legal, social and professional frameworks in which data scientists must operate, in business and society.

Department Information's

About Department

Artificial Intelligence and Data Science Programme enables students to get ready with the skills to perform intelligent decisions based on data analysis which is an important component in various real-world applications. By this course, the students will gain cross-disciplinary skills across fields such as statistics, computer science, machine learning, and logic, data scientists and may have career opportunities in healthcare, business, eCommerce, social networking companies, climatology, biotechnology, genetics, and other important areas.

Vision

To Produce technically competent artificial intelligence and data science professionals with social responsibility.


Mission

The stated vision of the Department of Artificial Intelligence and Data Science will be achieved by

  • Imparting technical skills in artificial intelligence and data science through progressive learning practices.
  • Collaborating with Corporate, Research Organizations and Professional Societies to enrich research and development activities.
  • Establishing modern computing facilities and Industry supported centers for developing skills in diverse domains.
  • Inculcating ethical values, social awareness and responsibility among students to cater the needs of the society.

Short Term Goals
  • Train students with advanced technologies & tools in AI & DS

Long Term Goals
  • To impart Knowledge, develop attitude and inculcate Skills and values.
  • To produce competent computer professionals to serve the needs of the society.
  • To build conducive environment for learning and to carry out research in area of Computing.
PEOs

The graduates of B.Tech Artificial Intelligence and Data Science programme will be able to:

  • Develop intelligent systems by utilizing foundations of artificial intelligence, data science and statistics.
  • Perform pioneering research in the field of artificial intelligence and data science to create disruptive and sustainable solutions.
  • Engage in lifelong learning for their professional development to cater the adaptive needs of the society.

Program Outcomes

Engineering Graduates will be able to

  • PO1: Engineering Knowledge: Apply the knowledge of mathematics, science, engineering fundamentals, and an engineering specialization to the solution of complex engineering problems.
  • PO2: Problem Analysis: Identify, formulate, review research literature, and analyze complex engineering problems reaching substantiated conclusions using first principles of mathematics, natural sciences and engineering sciences.
  • PO3: Design / Development of solutions: Design solutions for complex engineering problems and design system components or processes that meet the specified needs with appropriate consideration for the public health and safety, and the cultural, societal, and environmental considerations.
  • PO4: Conduct investigations of complex problems: Use research-based knowledge and research methods including design of experiments, analysis and interpretation of data, and synthesis of the information to provide valid conclusions.
  • PO5: Modern tool usage: Create, select and apply appropriate techniques, resources, and modern engineering and IT tools including prediction and modeling to complex engineering activities with an understanding of the limitations.
  • PO6: The engineer and society: Apply reasoning informed by the contextual knowledge to assess societal, health, legal and cultural issues and the consequent responsibilities relevant to the professional engineering practice.
  • PO7: Environment and sustainability: Understand the impact of the professional engineering solutions in societal and environmental contexts and demonstrate the knowledge of and need for sustainable development.
  • PO8: Ethics: Apply ethical principles and commit to professional ethics and responsibilities and norms of the engineering practice.
  • PO9: Individual and team work: Function effectively as an individual, and as a member or leader in diverse teams, and in multidisciplinary settings.
  • PO10: Communication: Communicate effectively in complex engineering activities with the engineering community and with society at large, such as, being able to comprehend and write effective reports and design documentation, make effective presentations, and give and receive clear instructions.
  • PO11: Project management and finance: Demonstrate knowledge and understanding of the engineering and management principles and apply these to one's own work, as a member and leader in a team, to manage projects and in multidisciplinary environments
  • PO12: Life-long learning: Recognize the need for, and have the preparation and ability to engage in independent and life-long learning in the broadest context of technological change.

PSOs

After the successful completion of B.Tech programme in Artificial Intelligence and Data Science, the students will be able to:

  • Design appropriate solutions to real world challenges in an inter-disciplinary domain using state of art tools and techniques of artificial intelligence and data science.
  • Succeed in their career as team or individual in the field of artificial intelligence and data science with social responsibility as professionals or entrepreneurs.

The department has well equipped and spacious laboratories with modern computer equipments. Computer Laboratories equipped with LINUX & Windows platforms are available to develop the programming skills. Industry supported centers such as Oracle academy, ICTACT-EM2, Red Hat Academy, AOSTA Incubation center, National Cyber Defence Research Centre (NCDRC) on Artificial Intelligence center and Cyber Security center enhance the practical knowledge in the area of Artificial Intelligence and Data Science.

The department has a perfect understanding of how the corporate world works, this helps in organizing events and programs that will provide avenues to the students to get exposed to the real world of work. The department have signed MoUs with IT companies like ORACLE Academy, CISCO Network Academy, ASOTA software, Lakshya Cyber Security Labs, National Cyber safety and Security Standards to conduct Guest lectures, Value added course and to undergo internship. Guest lectures are organized in regularly and the students get ample opportunities to closely interact with professionals from different industries.

Higher Education

The department aims to prepare and give exposure to students on pursuing higher studies abroad and in India. The department identifies the Aptitudes of the Students for Higher Studies; accordingly, arranges ‘Guidance’ through Lectures by eminent personalities so as to assist the students in making their right choice regarding the Subjects, Courses and Universities for Higher Studies, both in India and abroad.

Career Prospects

The department facilitates the training activities with the help of industry experts, alumni and corporate trainers to prepare the students industry-ready and knowledgeable, to pursue careers as data analysts or data scientists. The department collaborates with some of the best organisations across industries to provide on-campus job opportunities.

Faculty Details

S.No. Name of the Faculty Designation Profile
dr.r.karthikeyan Head of the Department (i/c) View Profile
dr.s.rajalakshmi Professor View Profile
mr.t.satheesh Assistant Professor (O.G.) View Profile
sarmila m Assistant Professor (O.G.) View Profile
ms.g.brindha Assistant Professor (O.G.) View Profile
sowmyha s Assistant Professor (O.G.) View Profile
ms. k. karpagavadivu Assistant Professor (Sr.Gr.) View Profile

Industry Partnerships

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Happenings

Industry Projects

Industry Projects

Students of Dr.N.G.P. Institute of Technology, Collaborate on real-world projects. We partner our students with leading corporate, community and government organizations to create innovative solutions to complex issues. Preview Our Projects Future Scope

Preview Our Projects

Career

Career opportunities

  • Automotive
  • Bioscience
  • Data Analytics
  • Education
  • Entertainment & Media
  • Finance
  • Gaming
  • Healthcare
  • Digital Advertising
  • Internet of Things

Internship

Internship

NGPiTech students are provided ample opportunities for full time internships and on-the-Job trainings in reputed companies like Amazon, Capgemini, Bosch, Cognizant Flipkart, Hexaware, IBM, Infineon, ITC Wipro etc. We have pioneered a student engagement model, where student go for internship with the option of a Pre-Placement offer for a period of 6 months to a year. The student simultaneously complete their Academic program as well as the internship and are on board as full-time employees based on their internship performance.