B.Tech in Computer Science and Engineering (Data Science)

Duration

4 Years

Yenepoya’s B.Tech in Computer Science and Engineering (Data Science) program powered by Kalvium is a transformative four-year B.Tech degree designed to prepare students for exciting careers in the rapidly expanding field of data analytics and technology. The curriculum is built by factoring in expertise from industry experts, to ensure that students learn key areas such as Python, R, SQL, Data Visualization, Statistical Modeling, and so much more. The curriculum includes courses on data warehousing and data management. It emphasizes the importance of statistical thinking and data-driven decision-making. The program fosters innovation and creativity through self-driven projects, hackathons, and access to state-of-the-art data science labs and tools.

This program integrates career readiness training throughout the curriculum, with a focus on developing technical and professional skills. Graduates are prepared to take on roles as data scientists, data analysts, and business intelligence professionals entering the workforce with a strong portfolio of projects and practical experience.

INDUSTRY IMMERSION

The program is designed to make students stand out in the competitive tech world. From Semester 1, students gain real-world experience through hands-on projects that mirror industry challenges. The advanced, industry-aligned curriculum equips students with in-demand skills and problem-solving expertise, ensuring they graduate as highly employable, future-ready professionals prepared to excel in top software engineering roles.

PROGRAM FEES

Program	Fee	(₹)
B.Tech Computer Science and Engineering - Data Science	Year 1	300000
	Year 2	300000
	Year 3	300000
	Year 4	300000

Career outcomes

Graduates of this program are equipped with in-demand skills and practical experience, enabling them to excel in a variety of data-driven roles. The program prepares students for careers such as:

Data Scientist: Analyze and interpret complex datasets to uncover actionable insights for businesses and organizations.

Data Analyst: Process and visualize data to aid decision-making and improve operational efficiency.

Business Intelligence Analyst: Develop and manage data-driven strategies to enhance business performance.

Machine Learning Engineer: Design and deploy machine learning models for predictive analytics and automation.

Big Data Engineer: Build and manage scalable big data systems to handle vast volumes of information.

Data Engineer: Create and maintain data pipelines and infrastructure for efficient data processing and storage.

Program USP

This program is designed to empower students with industry-relevant skills and hands-on experience, setting it apart from traditional programs. Students engage in real-world projects starting from Semester 1. The program features a cutting-edge curriculum focusing on data analytics, machine learning, and big data technologies such as Python, R, and SQL, ensuring alignment with global industry demands.

With personalized 1:1 mentorship, global research opportunities, and structured career readiness training, graduates are equipped to excel in dynamic roles like data scientist, data analyst, and business intelligence professional.

Program Highlights

Master Highly In-Demand Tech Skills
Learn new age tech like MERN Stack, Data Science & more.

Daily Coding Hours
Strengthen your technical foundation with dedicated daily coding hours, ensuring consistent practice and growth.

Build an Impressive Project Portfolio
Learn hands-on by building tons of real-world projects on Data Science right from 1st Year.

Hackathons, Coding Contests, and Tech Fests
Sharpen your skills and network with peers through regular hackathons, coding challenges, and tech fests, fostering innovation and competitiveness.

Professional Skills for the modern workplace
Stand out with key skills like communication, teamwork, creativity, etc.

Higher Salary Final Year Placements
Kickstart your career as a pro right after graduation.