Artificial Intelligence & Data Science
About us
Vision and Mission
PO, PEO, PSO & CO
Faculty
Laboratories
Curriculum
About us
About Us
Artificial Intelligence and Data Science Program provide the necessary skills to perform data analysis. Artificial Intelligence is the current growing technology since the complex problems of nature can be solved by working on the algorithms which will make computer to learn and take the decision as humans.
The major focus of this program is to equip students with statistical, mathematical reasoning, machine learning, knowledge discovery, and visualization skills.
As India has entered into the era of knowledge economy where innovation and thinking outside the box takes the lead, NHITM has taken the note of it and hence it has engaged into brainstorming, designing and delivering research-led, cutting-edge engineering curriculum which directly fulfills not only the problems being faced by the industries today but for tomorrow also.
Cross-disciplinary skills across fields such as statistics, computer science, machine learning, and logic, data scientists and may have career opportunities in healthcare, business, e-Commerce, social networking companies, climatology, biotechnology, genetics, and other important areas.
FROM THE DESK OF HEAD OF DEPARTMENT
Dr. Megha V. Gupta
It is with great pleasure that I extend a warm welcome to the Department of AI & Data Science Engineering at NHITM. As the Head of Department, I am honored to lead a team of dedicated faculty members and ambitious students in the pursuit of excellence in artificial intelligence and data science.
In today’s rapidly evolving technological landscape, AI and data science have become integral components of innovation and problem-solving. Our department is committed to providing a dynamic and cutting-edge educational experience that equips students with the skills and knowledge needed to thrive in this ever-changing field.
Our faculty members bring a wealth of expertise and research experience to the department, ensuring that students receive a well-rounded education that combines theoretical foundations with practical applications. We foster an environment that encourages curiosity, critical thinking, and collaboration, preparing our students to tackle complex challenges in the real world.
In addition to academic rigor, we emphasize hands-on learning and exposure to industry-relevant projects. Our students have access to state-of-the-art laboratories, industry partnerships, and internships that bridge the gap between theory and practice. We believe in empowering our graduates to make meaningful contributions to society through their expertise in AI and data science.
Vision and Mission
Vision
- To confer domain-specific education to enhance the learners analytical skills to cater to the growing needs of AI industry
Mission
- Endow the students with the knowledge of the transformative power of AI and Data Science
- Equip the students with statistical, mathematical reasoning, algorithm and knowledge discovery
- Enable students to acquire the required technological knowledge, thus enhancing their professional prospects in the industry
PO, PEO, PSO & CO
Program Outcomes
1
Engineering knowledge: Apply the knowledge of mathematics, science, engineering fundamentals, and an engineering specialization to the solution of complex engineering problems.
2
Problem analysis: Identify, formulate, review research literature, and analyze complex engineering problems reaching substantiated conclusions using first principles mathematics, natural sciences, and engineering sciences.
3
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.
4
The engineer and society: Apply reasoning informed by the contextual knowledge to assess societal, health, safety, legal and cultural issues and the consequent responsibilities relevant to the professional engineering practice.
5
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.
6
The engineer and society: Apply reasoning informed by the contextual knowledge to assess societal, health, safety, legal and cultural issues and the consequent responsibilities relevant to the professional engineering practice.
7
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.
8
Ethics: Apply ethical principles and commit to professional ethics and responsibilities and norms of the engineering practice.
9
Individual and team work: Function effectively as an individual, and as a member or leader in diverse teams, and in multidisciplinary settings.
10
Communication: Communicate effectively on 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.
11
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.
12
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.
Program Educational Outcomes
- Mining insightful knowledge vital for AI & Data Science domain for the industry and society.
- Nurture learning and research skills to adapt and cater to this rapidly evolving domain of Artificial Intelligence and Data Science.
- Enable the students with contemporary technological skills and aptitude for entrepreneurship.
Program Specific Outcomes
- To focus on developing analytical and computational skills relating to the Artificial Intelligence and Data Science domain and solve real world challenges.
- To inculcate knowledge of Artificial Intelligence and Data Science techniques such as data analysis, machine learning, data mining, algorithms using contemporary technologies.
- To imbibe lifelong learning skills in students essential for progression in their careers.
Course Outcomes
Faculty
Faculty
Name
Designation
Qualification
Profile
Dr. Geetanjali Kale
Assistant Professor
Ph.D. (Electronics & Telecommunication Engineering)
Ms. Sangita Nikumbh
Assistant Professor
M.Tech. (Electronics & Telecommunication Engineering)
Ms. Yojana Dehankar
Assistant Professor
M.E. (Computer Engineering)
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Laboratories
Laboratory
Curriculum
