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A relatively new and promising field, B. Tech in Computer Science with specialization in Data Science incorporates tools and skills that streamline the process of extracting useful and effective information from data.
This program focuses on making the students acquire theoretical knowledge and practical competence crucial to all aspects of creating, managing, processing and converting data into clear and comprehensive insights.
Our specifically designed curriculum and highly qualified faculty empowers our students to graduate with definitive depth in the field of data science, along with extensive access to excellent labs, learning resources and in-demand tools and tech.
Where can this course take you?
Data surrounds us – with the sudden boom in daily bytes captured from mobile devices, instruments, sensors and web logs, data analysts are high in demand.
Data Science collects new techniques that are essential for students to understand complex data and solve challenges that the world is facing today.
CAREER OPPORTUNITIES
This course paves the way for students to make a career as a data scientist, data analyst or a data architect in various sectors ranging from retail/wholesale/e-commerce to healthcare industries and financial sectors.
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Eligibility Criteria |
Duration |
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Minimum 50% marks in class 12 (PCM) Admission Criteria – List prepared on the basis of (10+2) % / JEE score |
4 years (8 Semesters) |
PEO 1: To equip the students with skills so that they can work and contribute to the continuously changing landscape of software Industry.
PEO 2: To provide research oriented education with knowledge of state-of-art analytical and experimental tools to enable students to pursue higher studies in institutions of repute in India and abroad.
PEO 3: To inculcate culture of professionalism, ethical conduct, team work with good communication skills to enable the students to be successful in their career and enable them to launch start-ups in their field of study.
PSO 1: The students will be able to apply appropriate learning and statistical methods, tools and techniques to perform data analysis task, to extract knowledge and visualization for better decision-making process.
PSO 2: The students will be able to analyze structured and unstructured data using a variety of data science concepts and practices as well as develop sustainable procedures using data science algorithms.