Departments
CSE Data Science
Overview
The Bachelor of Engineering in Computer Science and Engineering with a specialization in Data Science is a dynamic 4-year undergraduate program designed to prepare students for the data-driven demands of the 21st century. Integrating the core principles of computer science with advanced data science techniques, this program builds a strong theoretical foundation while emphasizing real-world problem-solving.
Students explore a comprehensive curriculum that spans machine learning, data mining, big data technologies, statistics, algorithms, data structures, and data visualization. Through hands-on projects, internships, and industry collaboration, they gain the practical expertise and strategic thinking required to convert raw data into impactful insights.The program emphasizes five core pillars:
- Machine Learning Techniques - Mastering supervised, unsupervised, and reinforcement learning models.
- Algorithms and Tools - Proficiency in Python, R, TensorFlow, Hadoop, and more.
- Business Acumen - Aligning technical solutions with business goals and decision-making.
- Mathematics - Strengthening analytical thinking through calculus, linear algebra, probability, and statistics.
- Data Inference - Extracting actionable insights using analytical and statistical reasoning.
Our Vision
To set the standard for Data Science education in the Twenty-First century by cultivating innovative, socially responsible, and globally competent professionals through an intellectually rigorous and transformative learning experience. we empower students to harness the power of data to advance impactful research, drive technological progress, and foster sustainable innovation across diverse industries towards the growth of a data-driven society.
Our Mission
- The Department is committed to educating and transforming students by equipping them with in-depth knowledge of Data Science concepts, tools, and techniques.
- Nurture their talents through a research-driven, industry-aligned curriculum and foster critical thinking, innovation, and problem-solving skills.
- Support state-of-the-art infrastructure, and real-world exposure to guide students to utilize their abilities for societal welfare, ethical practice, and technological progress.
- Encourages holistic development through co-curricular and extracurricular engagement, preparing them to contribute meaningfully to a data-driven future.
Program Highlights
Innovative Learning Environment
Student-centered teaching with a focus on deep learning and project-based pedagogy.
A curriculum tailored to emerging industry trends and technological advancements.
Hybrid and blended learning methodologies integrated from the first year
Practical Exposure
Strong focus on hands-on experience through mini-projects and a final year capstone project aligned with societal, research-based, or industry needs.
Internship opportunities at leading companies, R&D labs, government agencies, and academic institutions.
Entrepreneurship and Flexibility
A startup ecosystem that supports turning ideas into viable business ventures.
Exposure to liberal arts, foundation courses, and customizable electives to support interdisciplinary thinking.
Encouragement for students to participate in MOOCs, research, and collaborative projects.
Holistic Skill Development
Emphasis on communication, collaboration, creativity, and design-oriented thinking.
Opportunities for co-curricular involvement, coding clubs, data science hackathons, and technical symposiums.
Curriculum structured to foster 21st-century skills and prepare students for future-ready careers in a data-driven global economy.
Mentors Who Shape Minds and Futures.
Mr. Manish Prajapati
Assistant Professor
CSE Data Science
Teaching Experience: 2
Industrial Experience: 6 Months
Papers Published: 8
Workshops Attended: 5
Activities
Program Educational Objectives (PEO's):
- Technical Proficiency and Problem Solving: Graduates will build a strong foundation in computer science, data science, and engineering principles, enabling them to effectively analyze complex problems and develop innovative, data-driven solutions.
- Professional Development and Career Readiness: Graduates will be equipped to pursue successful careers in industry, academia, or entrepreneurship by applying their technical skills, communication abilities, and collaborative mindset in real-world settings.
- Lifelong Learning and Ethical Leadership: Graduates will engage in continuous learning to adapt to emerging technologies and trends in data science, while demonstrating ethical responsibility, social awareness, and a commitment to positively impacting society.
Program Specific Outcomes (PSO's):
- Data Science and Analytical Proficiency: Graduates will be able to apply statistical methods, machine learning algorithms, and data engineering techniques to collect, process, analyze, and interpret large-scale data for informed decision-making and problem-solving in real-world applications.
- Ethical Computing and Innovation: Graduates will demonstrate the ability to design and deploy data-centric systems and solutions with a strong sense of ethical responsibility, considering privacy, fairness, and societal impact, while embracing lifelong learning and emerging technologies.
Newsletter
Placements that Turn Potential into Success.
The Department of Training & Placement at Yenepoya Institute of Technology plays a pivotal role in shaping students into confident, competent, and career-ready professionals.
As a vital bridge between academia and industry, the department is dedicated to enhancing student employability through structured training, global certifications, and strong industry engagement.
2023-24
27
Total Offers
2022-23
17
Total Offers
2021-22
14
Total Offers
2020-21
13
Total Offers
2019-20
30
Total Offers
2018-19
46
Total Offers
What Our Students Say About Their Journey
Mehfooz Ahmed
Senior Software Engineer, Pace Wisdom, Bangalore
Batch of 2019-2023
Yenepoya Institute of Technology has been a transformative chapter in my life. The faculty were not only professional but also incredibly supportive.
Sambhrama K.
Senior Associate Consultant at Infosys LTD
Class of 2019
My journey from an engineering student to a consultant began with the strong academic foundation laid by the ECE Department.
Vishnu Prakash
Entrepreneur | Founder & CEO
Class of 2019
YIT played a pivotal role in shaping my entrepreneurial mindset through project-based learning and mentorship.
Muarraf Ilyas Mukkachery
Cloud Associate, Niveus Solutions
Class of 2024
The department provided a perfect blend of electronics fundamentals and exposure to emerging IT domains.
Shreyas V Suvarna
Design Engineer, Insemi Technology Services Pvt. Ltd.
Class of 2021
The structured curriculum and lab sessions gave me strong technical depth in VLSI and chip design.
Pratiksha Shetty
Software Engineer – Linux
Batch of 2018-2022
YIT helped me grow into a confident professional with a balance of academics and extracurricular exposure.
Deepali Subbamma K
Specialist at LTIMindtree
Batch of 2012-2016
The support and encouragement from faculty helped me gain confidence and explore multiple fields.
Sujnan Prasad
AI/ML Senior Analyst, Accenture
Batch of 2015-2019
The practical training and projects at YIT gave me real-world skills and career readiness.
Jasir M
Software Engineer, Uber, Bangalore
Batch of 2015-2019
The hands-on learning, projects, and coding culture helped build a strong foundation for my career.
Our journey is driven by a passion for education, fostering talent and transforming potential into meaningful achievements.
