
B.Tech in Data Science is a four-year undergraduate programme to provide an advanced learning opportunity for enthusiastic aspirants who wish to contribute to society by satisfying in-future industry demands for emerging skills and knowledge through interpreting data correctly, so that they can generate trend-setting ideas - today as well as in the future.
Digitalisation is the most important economic and social development of current time. Digital technology is significantly influencing our economy and at the same time satisfying all areas of interpersonal communication. It paves the way for new business models, with the help of consistent use of data, that were not previously possible. Data Science is therefore at the core of all digitalisation processes. This course aims at developing a strong engineering foundation with unique multi-disciplinary confluence of Computer Science, Computational Mathematics, Statistics and Management. After completion of this course, students will be able to demonstrate knowledge and skills related to data analytics, visualization, predictive modeling and analytics for data-driven decision making. The course will also include knowledge representataion. The course will also include knowledge representataion, machine learning and deep learning with relevant real-world applications.
Apart from core IT sector jobs, the students of B.Tech in CSE(Data Science) will have career opportunities in different private and public sectors with the following in-demand job roles:
After a few years of graduation, the graduates of B.Tech, CSE (Data Science) will
PEO 1: Professional Competence & Career Excellence
Apply strong foundations in computer science, mathematics, and data science to build intelligent, data-driven systems, solve complex real-world problems, and establish successful careers or entrepreneurial ventures in domains such as AI, machine learning, and analytics.
PEO 2: Leadership & Multidisciplinary Collaboration
Exhibit strong leadership qualities, effective communication, and collaborative teamwork skills to successfully navigate and drive organizational goals within diverse, multidisciplinary environments.
PEO 3: Lifelong Learning, Ethics, & Societal Impact
Engage in continuous professional development to adapt to emerging technologies, while demonstrating unwavering ethical practices, integrity, and a strong awareness of the societal, legal, and environmental impacts of data and computing.
On successful completion of the program, the graduates of B.Tech CSE (Data Science) will be able to:
PSOs (Till 2024-25 AY)
PSO1: Graduates are able to evaluate massive, complex information, extract relevant insights, and make data-driven decisions by applying data science principles, approaches, and tools.
PSO2: Solving actual business challenges using understanding of analytics, statistics, and machine learning ideas
PSO3: Graduates will be equipped to address challenges in a variety of disciplines by designing, implementing, and applying a range of data-centric methodologies, such as statistical analysis, data mining, and machine learning.
PSO4: Graduates will be able to conduct themselves in a professional and moral manner when working as data scientists and researchers, and they will be able to communicate effectively and ethically both orally and in writing to a variety of audiences.