Computer Science and Engineering
(Artificial Intelligence and Machine Learning)

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Comp. Science and Engg-AI & ML Overview

Looking to specialize in Artificial Intelligence and Machine Learning (AI & ML)? Explore the exceptional B.Tech program offered by SCOE (Saraswati College of Engineering) in Mumbai. SCOE stands out as a premier institution, renowned for its commitment to academic excellence and industry relevance.
At SCOE, the B.Tech in Artificial Intelligence and Machine Learning program is designed to equip students with the skills and knowledge necessary to thrive in this rapidly evolving field. With a blend of theoretical foundations and practical applications, students gain a comprehensive understanding of AI & ML concepts.
The faculty at SCOE comprises seasoned experts and industry practitioners who provide invaluable insights and mentorship to students throughout their academic journey. Through hands-on projects, internships, and industry collaborations, students get real-world exposure, preparing them for a successful career in AI & ML.
Why Choose SCOE for B tech in artificial intelligence and machine learning?
Furthermore, SCOE's location in Mumbai offers students unparalleled access to opportunities in India's bustling tech industry. With a thriving ecosystem of startups, multinational corporations, and research institutions, Mumbai serves as the perfect backdrop for students to network and explore career prospects in AI & ML. In conclusion, the B.Tech in Artificial Intelligence and Machine Learning at SCOE is a gateway to a rewarding career in one of the most sought-after fields of the 21st century. Join SCOE and embark on a transformative educational journey that will empower you to become a lead.

B Tech in Artificial intelligence and Machine learning Course details

Details	Parameter
Program Name	(Artificial Intelligence and Machine Learning)
Course Duration	4 years
Assessment Format	Semester system
Total Semesters	8 semesters
Eligibility for AI and Machine Learning	10+2 or equivalent from a recognised school board (Science stream is mandatory) 50% for the Open Category and 45% for the reserved category
Admission Process	Entrance Examination MH CET or JEE/ 3 Years Diploma
Average Salary	INR 7 to 10 LPA
Fees for the per year	Rs. 1 Lakh 10 Thousand (For exact fees contact to College administration)
Leading Recruiters	IBM, Infosys,TCS, Wipro,L&T,Syentel,HP
Job Position after successful completion of the program	Machine Learning Engineer, Artificial Intelligence Engineer, Data Scientist, and Data Analyst

Vision

“To be among renowned institutions in Computer Science Engineering (CSE) education and research by developing globally competent graduates”

Mission

To produce quality Engineering graduates by imparting quality training, hands on experience and value education.
To pursue research and new technologies in Computer Science Engineering and across interdisciplinary areas that extend the scope of Computer Engineering and benefit humanity
To provide stimulating learning ambience to enhance innovative ideas, problem solving ability, leadership qualities, team-spirit and ethical responsibilities

Programme Educational Objectives

To apply statistical data analysis, Artificial Intelligence and Machine Learning techniques to effectively solve real-world problems.
To motivate & prepare students for lifelong learning and research to manifest global competitiveness.
To equip students with communication, team work and leadership skills to accept challenges in all facets of life ethically.

Programme Outcome

At the end of the program, a student will be able to

Apply the knowledge of Mathematics, Science, Engineering fundamentals to solve complex Artificial Intelligence Problems
Identify, formulate and analyze Data analysis problems to derive conclusions using First Principles of Mathematics and Computer Science
Investigate complex Artificial Intelligence problems to find appropriate solution leading to a valid conclusion.
Design an Artificial Intelligence model, processes to meet specified needs with appropriate attention to health, safety, standards, environmental and societal considerations.
Create, select and apply appropriate techniques, resources and advance engineering software to analyze tools and design for Artificial Intelligence Problems.
Understand the impact of Artificial Intelligence Solution on society and environment for sustainable development.
Understand social, health, safety, culture and legal issues and responsibilities relevant to the engineering profession.
Apply professional ethics, accountability and equity in the engineering profession
Work effectively as a member and leader in multidisciplinary team for a common goal.
Communicate effectively within a profession and society at large.
Appropriately incorporate principles of Management and Finance to one’s own work.
Identity Educational needs and engage in lifelong learning in a changing word of technology.

Programme Specific objectives

Identify, understand, formulate and analyse complex engineering problems in the field ofData Analysis, Big Data, Database Management, Predictive Analysis, Trends Identification and Identifying Business Insights.
Acquire, Store, Retrieve, Process and finally convert data into knowledge in the field of artificial intelligence, data mining, network management and security, and Internet of Things applicationsthrough use of secure, reliable and cost effective state of art Analysis tools efficiently.

COs

NewsLetters

Volume:01

Volume:02

Volume:03

Academics

Lab

Sr.No	Laboratory Name
1	DIGITAL DESIGN LAB
2	COGNITIVE ARTIFICIAL INTELLIGENCE LAB
3	INNOVATIVE DEVELOPMENT LAB
4	DATABASE MACHINE LEARNING LAB
5	EXPLORATION LAB
6	WEB COMPUTING LAB

Internship

Sr.No	Years
1	2023	Download
1	2022	Download

Projects

Sr.No	Years
1	2023	Download
1	2022	Download

Toppers List

Sr.No	Years
1	2023	Download
1	2022	Download

Student Activities

Sr.No	Years
1	2023	Download
1	2022	Download

Faculty

Prof. Shraddha Subhedar

Head Of Department

Prof. Umesh Pinjarkar

Assistant Professor

Dr. Chanchal Sharma

Assistant Professor

Prof. Varsha Nawale

Assistant Professor

Prof. Rashmi Saratkar

Assistant Professor

Prof. Snehal Gavale

Assistant Professor

Prof. Amita Raman

Assistant Professor

Prof.Rajshri Narawade

Associate Professor

Prof. Yugandhara Gaware

Assistant Professor

Admission Contact

Email id

Computer Science and Engineering(Artificial Intelligence and Machine Learning)

Comp. Science and Engg-AI & ML Overview

B Tech in Artificial intelligence and Machine learning Course details

Vision

Mission

Programme Educational Objectives

Programme Outcome

At the end of the program, a student will be able to

Programme Specific objectives

COs

NewsLetters

Volume:01

Volume:02

Volume:03

Academics

Lab

Internship

Projects

Toppers List

Student Activities

Faculty

Important Links

Quick Links

Computer Science and Engineering
(Artificial Intelligence and Machine Learning)