Saraswati College of Engineering

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(Data Science)

Computer Science & Engineering -Data Science Overview

Are you passionate about unraveling the mysteries hidden within data? Look no further than SCOE’s B.E in Data Science program. With a curriculum designed to foster expertise in data analysis, machine learning, and statistical modeling, SCOE equips you with the skills necessary to thrive in today’s data-driven world. Our faculty comprises seasoned professionals and Industry experts who guide you through hands-on projects and real-world applications.

At SCOE, we understand the importance of practical knowledge. That’s why our program emphasizes experiential learning through internships and industry collaborations. With access to state-of-the-art facilities and cutting-edge technology, you’ll be at the forefront of innovation. Join us at SCOE and embark on a journey towards a rewarding career in data science. Experience the power of data firsthand and unleash your potential. Apply now and secure your future in this dynamic field.

Why Choose SCOE for B.E. in Data Science?

Consider SCOE for your BTech in Data Science in Mumbai for its cutting-edge curriculum, experienced faculty, and robust infrastructure. SCOE’s program is designed to meet the demands of the rapidly evolving field of data science, integrating theory with practical applications. With access to state-of-the-art labs and industry partnerships, students gain hands-on experience with the latest tools and technologies. Located in Mumbai, a hub of technological innovation, SCOE provides ample opportunities for internships and networking, ensuring graduates are well-prepared for success in the dynamic field of data science.

B.E. in Data Science Course details

Details

Parameter

Program Name

B.E. in Data Science

Course Duration

4 years

Assessment Format

Semester system

Total Semesters

8 semesters

Eligibility for Data Science Engineering

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

Rs. 7 to 9 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

S/W Engineer, Machine Learning Engineer, Artificial Intelligence Engineer, Data Scientist, and Data Analyst

Vision

“To be a renowned institute in data science education, driving academic excellence , research, and skill development to produce innovators and future leaders for societal aspects.”

Mission

  • To deliver quality theoretical and practical data science education, developing skilled professionals who can solve complex challenges

  • To foster an environment that promotes research, innovation, and entrepreneurship in data science, empowering future leaders and innovators of society.

  • To instill ethical values, leadership skills, and fosters holistic development in data science professionals.

Programme Educational Objectives

  • To develop globally competent graduates with a strong foundation in data science principles for analyzing, designing, and creating innovative solutions to real-world problems.

  • To inculcate research attitude in multidisciplinary domains with experiential learning and developing entrepreneurship skills.

  • To prepare graduates as ethical and committed professionals with a sense of societal and environmental responsibilities.

Programme Outcome

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

  • Apply the knowledge of Mathematics, Science and Engineering Fundamentals to solve complex Data Science Problems.

  • Identify, formulate and analyze Data analysis Problems and derive conclusion using First Principle of Mathematics, Engineering Science and Computer Science.

  • Investigate Complex Data Science problems to find appropriate solution leading to valid conclusion.

  • Design a data science model, process to meet specified needs with appropriate attention to health and Safety Standards, Environmental and Societal Considerations.

  • Create, select and apply appropriate techniques, resources and advance Engineering software to analyze tools and design for Data Science Problems.

  • Understand the Impact of Data Science solution on society and environment for Sustainable development.

  • Understand Societal, health, Safety, cultural, Legal issues and Responsibilities relevant to Engineering Profession.

  • Apply Professional ethics, accountability and equity in 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 in one’s own Work.

  • Identify educational needs and engage in lifelong learning in a Changing World of Technology.

Programme Specific Objectives

Graduates will be able to:
  • Apply data science principles, methodologies, and tools to analyze complex datasets, design, implement, and apply diverse data-centric techniques, including machine learning, data mining, and statistical analysis, to solve real-world problems across various domains.

  • Able to develop software solutions by demonstrating leadership, teamwork, entrepreneurial thinking and effective communication to emerge as data scientist and researchers

TopperList

Sr.No Years
1
2023-24
1
2022-23
2
2021-22

Student Activities

Sr.No Years
1
2023-24
1
2022-23
2
2021-22

Project

Sr.No Years
1
2023-24
1
2022-23
2
2021-22

Lab

Sr.No Laboratory Name
1
WEB COMPUTING LAB
2
OPEN SOURCE TECHNOLOGY LAB
3
RESEARCH INNOVATION LAB
4
DATA ANALYTICS LAB
5
DIGITAL LAB
6
PROJECT LAB