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B. Tech in Artifical Intelligence and Data Science
Quick Enquiry
1. Program Overview
1. This program covers key techniques and gives intensive training in the areas in
Artificial Intelligence and Data Science.
2. The students may recognize different business trends by assessing complicated data
sets and help in increasing the profits of a company by planning, analyzing,
developing and nourishing business intelligence solutions.
3. The program goal is to teach the students statistical tools, mathematical models,
machine learning, knowledge discovery, and data visualization abilities to apply AI
techniques to solve real-world problems and conduct intelligent data analysis.
4. By the end of this course, the students will gain multi-disciplinary skills in Artificial
Intelligence and Data Science and will have career opportunities in healthcare,
business, e-commerce, social networking and any field that involves data and
intelligent decision making.
2. Motivation
1. Artificial Intelligence and Data Science has shown high growth in the last few years. It is
one of the high demanding subjects in today’s world due to its applications in various
sectors thereby generating a large number of career opportunities.
2. The course motivates students to work closely with data and make data-driven decisions
in the field of AI and Data Science.
3. Students can choose this course as it makes them fit for the industry and start their career
as Data Scientist, Data Analysts, Machine Learning Engineer, Database Developer,
Business Analyst.
4. The purpose of introducing this course is to promote self-employment and to provide
skilled professionals in the fields of AI and Data Science.
3. Program Objectives
After completion of the program, students will be able to:
1. Identify, formulate and solve real life and industrial problems with their knowledge of
artificial intelligence and data science.
2. Acquire knowledge to analyse, design, test and implement the model required for
various applications in artificial intelligence and data science.
3. Adopt novel technologies towards the betterment of human life and society.
4. Apply knowledge in data science for modern computational data analysis and
modelling methodologies.