B.Sc. (Data Science, Artificial Intelligence and Machine Learning) with TCS and IBM
Duration
3+1 (Hons)
The scope of the B.Sc. program in Data Science, Artificial Intelligence, and Machine Learning is vast and promising. Graduates can work as data analysts or data scientists. Graduates can develop and implement machine learning models to automate processes and improve decision-making in various industries. They can design and implement artificial intelligence systems. They can pursue further studies in data science, artificial intelligence, and machine learning, leading to careers in research and development. Graduates can start their own businesses, using their skills and knowledge to create innovative solutions that solve real-world problems.
The B.Sc. program in Data Science, Artificial Intelligence, and Machine Learning is an undergraduate degree program that aims to equip students with the skills and knowledge needed to analyze and interpret large data sets, develop machine learning models, and design and implement artificial intelligence systems. The program combines concepts from statistics, mathematics, computer science, and engineering to provide students with a comprehensive education in data science, artificial intelligence, and machine learning.
Eligibility
A candidate who has passed the two years (any stream) of Pre-University Examination conducted by the Pre-University Education Board in the State of Karnataka or any other examination considered as equivalent thereto by University is eligible for admission to these programmes.
Career outcomes
Graduates can work as data analysts, helping organizations to collect, analyze, and interpret large data sets to gain insights into customer behavior, business operations, and market trends. They can work as data scientists, using statistical and mathematical models to analyze and interpret data and to develop machine learning models that can automate processes and improve decision-making.
Graduates can work as machine learning engineers, designing, developing, and implementing machine learning models that can automate processes and improve decision-making in various industries, including healthcare, finance, and e-commerce. Graduates can work as data engineers, helping organizations to design, develop, and maintain data management systems and data warehouses. They can work as business intelligence analysts, helping organizations make data-driven decisions by creating reports and visualizations that provide insights into business performance.
Program USP
The program takes an interdisciplinary approach to data science, combining concepts from computer science, mathematics, and statistics to provide students with a holistic understanding of data science. Curriculum is designed to be relevant to industry needs, providing students with the skills and knowledge needed to succeed in a range of careers in different industries. Hands-on training in various tools and technologies used in data science, including programming languages, data visualization tools, and machine learning libraries. The program is equipped with cutting-edge technology, including computer labs and data centers, providing students with access to the latest tools and technologies in data science.
Program Highlights
The program curriculum covers a wide range of topics in data science, artificial intelligence, and machine learning, providing students with a comprehensive education in these areas. The program offers practical training in various tools and technologies used in data science, including programming languages such as Python and R, data visualization tools, and machine learning libraries. Hands-on projects that allow students to apply the skills and knowledge they have learned to real-world problems, helping them to build a strong portfolio.Experienced professionals in data science, artificial intelligence, and machine learning, who bring their expertise and industry knowledge into the classroom.
