About B. Tech. Artificial Intelligence & Data Science Department
IIMT College of Engineering, Greater Noida is one of the leading engineering institute that offers B.Tech. Degree with a specialization in Artificial Intelligence and Data Science (AI & DS).
The Artificial Intelligence and Data Science Programme at IIMT provides students the skills to perform intelligent decisions based on data analysis which is an important component in various real-world applications.
The programme is not only aimed to provide core technologies such as machine learning, data warehouse, data mining, and artificial intelligence; but it also gives in-depth inputs in areas like artificial neural networks, fuzzy techniques, big data analytics and many more. Our aim is to prepare students to become industry-ready and knowledgeable, to pursue careers as data analysts, data scientists and solve major problems related to the field of machine learning, statistics, knowledge discovery and visualization. We help students excel in the field of computer science, applications, and systems with sound knowledge, skills and practice.
Starting 2020, IIMT is offering a unique undergraduate program in Artificial Intelligence and Data Science, that envisions to equip students with the ability to assess societal, health, safety, legal and cultural issues, and - most importantly - identify their consequent responsibilities as engineers of effective solutions for the same The curriculum is interdisciplinary at heart - straddling computer science, mathematics, artificial intelligence, machine learning, data science, and their applications across numerous domains. Besides Artificial Intelligence, Deep Learning, Digital Image Processing, Computer Vision and Video Processing, the program will be training its students in a range of exclusive courses like:
Message From Dean
The Department of Computer Science & Engineering is accredited by NBA . The Department executes 4 years B.Tech CSE Course in “Computer Science Engineering” since 2005 and in “Artificial Intelligence & Data Science” from this current session in 2021. It has state-of-the-art & world class facilities, with clear aim to be known as the best department in Computer Science & Engineering among all other Indian Colleges of repute. As a wealth, the department has a strong team of faculty members with high dedication towards the commitment. The pass out students of the department is performing extremely well in almost all the leading organizations and making the name of the department sparkle brightly.
Here at IIMT we are committed to provide not only technical education to our students but also the leadership qualities through which they can create employment for others.
1. To prepare graduates with..
2. To impart outcome based learning for emerging technologies in the field of computer science & engineering.
3. To promote creative thinking and innovations by the students and faculty.
4. To develop strong industry –academia relationship.
5. To nurture students and infuse professional ethics, human values and positive attitude in the students
To produce globally competent Computer Science engineers empowered with research aptitude and high ethical values to cater to the emerging computing needs of the industry and society.
Course Durations 4 Years
10+2 or equivalent from recognised Board in Physics, Maths and Chemistry as compulsory subjects with minimum 45% marks in PCM (40% in case of SC/ ST candidate)
Mode Of Admission
For admissions please visit our portal to register/login yourself and proceed ahead with your admission application.
Innovations by the Faculty in Teaching and Learning
Contributions to teaching and learning are activities that contribute to the improvement of student learning. These activities may include innovations not limited to, use of ICT, instruction delivery, instructional methods, assessment, evaluation and inclusive class rooms that lead to effective, efficient and engaging instruction. Any contributions to teaching and learning should satisfy the following criteria:
• The work must be made available on Institute website
• The work must be available for peer review and critique
• The work must be reproducible and developed further by other scholars
The department/institution may set up appropriate processes for making the contributions available to the public, getting them reviewed and for rewarding. These may typically include statement of clear goals, adequate preparation, use of appropriate methods, and significance of results, effective presentation and reflective critique.
1. Teaching in classroom is done through combination of two or more of the following methodologies:
(a) ‘Chalk and talk’ method to widen dynamic connect with the students.
(b) Assertion-evidence (A-E) approach of presentation for showcasing visual evidence such as a figure, diagram, or photograph of certain topic through LCD projectors.
2. The faculty members have recorded their lectures on special topics and published them on Youtube. The college has a YouTube channel by name “IIMT Group of Colleges”.
3. Faculty use Google classroom/MS Teams to organize and manage online handouts and assignments, thereby, providing flexibility to the students to access the content any time. This helps the students to adapt him to “mobile-learning”.
4. The faculty makes tutorial sessions interactive by having discussion on a topic within different groups, floating a case study among groups on real-time application in regard to certain topic, or starting a brainstorming session.
5. The faculty members have updated their research work/ paper published on Google Scholar/ Research Gate. This provides public access to the work done and the students can work further in the similar direction.
Frequently Asked Questions about B. Tech. Artificial Intelligence & Data Science
Artificial intelligence (AI) is the technology that is to think like humans and their actions. Artificial intelligence can also be applied to any machine whose working is like human mind as learning and problem-solving techniques. Artificial intelligence (AI) is a branch of computer science. It is used in smart machines of performing tasks that typically require human brains. It is an interdisciplinary science with multiple approaches, but Machine learning and deep learning are creating a shift in every sector of the technology industry. IIMT College of Engineering, Gr Noida is the best engineering college for Artificial Intelligence Engineering and Data Science Engineering in Delhi NCR region. It has best placement records. This college is NAAC and NBA accredited college. All engineering programs are affiliated with Dr. APJ technical university, Lucknow approved by AICTE.
Like other Engineering Courses affiliated to AKTU, B.Tech AI and Data Science is also 4 years degree program. Candidates have passed the intermediate exam and its equivalent from any recognized board/university in required each compulsory subject and securing minimum of 45% marks (40% marks for SC/ST category candidates.) can apply for these courses
These technologies are in high demand in job markets. So there are lots of opportunities for placements after completing B.Tech in Data Science and AI. Companies that aggressively hire B.Tech AI graduates include Wipro, Infosys, Adobe, IBM, Tech Mahindra, Microsoft, Accenture HCL technologies, Paytm, Amazon, Tommy Hilfiger, and more.
Companies that aggressively hire B.Tech AI graduates include Wipro, Infosys, Adobe, IBM, Tech Mahindra, Microsoft, Accenture HCL technologies, Paytm, Amazon, Tommy Hilfiger, and more. The medium salary offered by IIMT is 4.5 LPA and the highest package offered is 12 LPA you can be the next data scientist, software engineer, machine learning programmer, etc
Linear Algebra, Probability, and Statistics: such as linear discriminant analysis, Hidden Markov models, Gaussian mixture models, and Naive Bayes. Programming Skills: such as C++, Python, Java, R, to build and implement models. Problem-solving Skills: They should also have excellent problem-solving skills to resolve obstacles for decision making. Algorithms and Frameworks: how machine learning algorithms like Support Vector Machine, linear regression, KNN, Naive Bayes, etc. will help you to implement machine learning models. Some of the frameworks used in artificial intelligence are TensorFlow, PyTorch, Theano, and Caffe