The B.Tech in Artificial Intelligence and Data Science at Ajeenkya DY PatilUniversity is designed to provide comprehensive education in AI and DataScience, blending theoretical knowledge with practical skills

1. B.Tech in Artificial
Intelligence and Data
Science
The B.Tech in Artificial Intelligence and Data Science at Ajeenkya DY Patil
University is designed to provide comprehensive education in AI and Data
Science, blending theoretical knowledge with practical skills.
This full-time undergraduate program spanning four years focuses on
developing critical skills in these cutting-edge fields, equipping students
with the ability to apply AI and data science techniques to solve complex
problems.
Graduates will be prepared for diverse roles in industry and research, with
a strong foundation for advanced studies and innovation in AI and Data
Science.

2. Curriculum Highlights
Core Subjects
The program covers essential
topics such as Machine
Learning, Deep Learning,
Data Mining, and Big Data
Analytics, providing a solid
foundation in the theoretical
and practical aspects of AI and
data science.
Programming
Languages
Students will gain proficiency
in Python, R, and Java, the
most widely used languages in
the field of AI and data
science, enabling them to
develop robust and efficient
applications.
Electives
T
he curriculum also offers
specialized electives in areas
like Natural Language
Processing, Computer Vision,
and Internet of T
hings,
allowing students to tailor
their learning to their specific
interests and career goals.

3. Faculty Expertise
1 Experienced Faculty
The program is led by
professors with extensive
backgrounds in AI and
Data Science, including
industry veterans and
accomplished
researchers, ensuring
students receive cutting-
edge knowledge and
guidance.
2 Guest Lectures
Regular guest lectures by
leading professionals in
the field provide
students with exposure
to the latest industry
practices and
advancements,
complementing the
academic curriculum.
3 Mentorship and
Guidance
Students receive
personalized support for
their academic and
career development,
with opportunities for
one-on-one mentorship
from the experienced
faculty.

4. State-of-the-Art Facilities
Modern Laboratories
The university's AI and Data
Science laboratories are
equipped with the latest
tools and technologies,
providing students with the
necessary infrastructure for
experimentation and
innovation.
High-Performance
Computing
Students have access to
powerful computing
systems that support large-
scale data analysis,
simulations, and modeling,
essential for tackling
complex AI and data
science problems.
Collaborative
Workspaces
The program encourages
teamwork and
interdisciplinary research
through innovative hubs
and collaborative
workspaces, fostering a
dynamic and engaging
learning environment.

5. Industry Partnerships and Internships
Collaboration with Top Tech Companies
The program has established partnerships with
leading tech firms, providing students with hands-
on learning opportunities and the chance to work
on industry-sponsored projects.
Internships and Co-op Programs
Structured internships and cooperative education
programs integrate classroom learning with real-
world work experience, giving students a
competitive edge in the job market.

6. Research and Development
Active Research Projects
Students have the opportunity
to engage in cutting-edge
research in AI and Data
Science, working on funded
projects that contribute to the
advancement of these fields.
Conferences and
Publications
The university encourages
students to publish their
research in reputed journals
and attend national and
international conferences,
providing financial support for
these activities.
Participation in
Competitions
Students are encouraged to
showcase their skills and gain
recognition by participating in
AI and data science
competitions, fostering a
culture of innovation and
excellence.

7. Career Opportunities
1
Data Scientist
Analyze and interpret complex data to
uncover insights that drive informed decision-
making.
2
AI Engineer
Develop and implement AI models to solve
real-world problems across various industries.
3
Machine Learning Engineer
Design and optimize machine learning
algorithms to enhance the performance of
intelligent systems.

8. Admission and Eligibility
Eligibility Criteria
High school diploma with a focus on science and mathematics, along with a
strong foundation in relevant subjects.
Admission Process
Entrance exam and/or interview, with assessment of academic performance
and aptitude.
Scholarship Opportunities
Scholarships available for meritorious and deserving students, as well as
financial aid options to support education.

9. Contact Information
Phone +91-8956487916
Email soe.info@adypu.edu.in
Website www.soe.adypu.edu.in
For further inquiries and applications, please use the contact details provided.