Saraswati College of Engineering

Saraswati College of Engineering institution in Navi Mumbai

NAAC A+ Accredited

NBA Accredited 2 UG Programs

Admission Contact

9320299474
9320299475

Email id

Registrar: registrarsaraswati@gmail.com Exam Cell: examcell.scoe@gmail.com Admissions: admissions.scoe@sce.edu.in

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Computer Science and Engineering
(Artificial Intelligence and Machine Learning)

Overview

Overview

vision and mission

Vision and Mission

PEO

ugc journal list

Program Outcomes

PSOs

AI and Machine Learning

R-19_COs

Faculty

Internship

Internship

University question papers

Topper List

Project based training

Project

Labs

Lab

News

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Syllabus

Academics

Comp. Science and Engg-AI & ML Overview

  • Looking to specialize in Artificial Intelligence and Machine Learning (AI & ML)? Explore the exceptional B.E. 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.E. 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 E. 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.E. 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

vision and mission

R-19 CO

NewsLetters

Volume:01

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Volume:02

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Volume:03

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Academics

University Syllabus
University Question Papers

Lab

Internship

Projects

Toppers List

Student Activities

Faculty

Prof. Shraddha Subhedar

Head Of Department

  • 93
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