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

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Program Outcomes

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AI and Machine Learning

R-19_COs

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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.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 achieve an excellent standard of quality education in the field of AI & ML through the right academic ambience and research environment to create Innovators & Future leaders to serve Industry & Society.”

Mission

  • M1. To establish a solid foundation in AI & ML through quality teaching learning in theoretical & practical aspects to inculcate innovative mindset in students.
  • M2. To promote excellence by encouraging Entrepreneurship & Research and to acquaint students with recent trends in Industry.
  • M3. To impart value based education to contribute positively in holistic development of students with moral, ethical and leadership skills.

    • 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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    Volume:04

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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