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

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

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 among renowned institution 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 extends 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 and other data science 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 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

  • Identify, understand, formulate and analyse complex engineering problems in the field of Data 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 applications through use of secure, reliable and cost effective state of art Analysis tools efficiently.

TopperList

Sr.No Years
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
2022-23
2
2021-22

COs

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

Faculty

Prof. Ragini K. Sharma

Asst. Prof. / HOD

Dr. Rajkumar Patil

Visiting Faculty

Prof. Neha Mahajan

Assistant Professor

Prof. Sarita S. Kale

Assistant Professor

Prof. Pintu Sharma

Assistant Professor

Prof. Sonali Ramtake

Assistant Professor

Prof. Jayshree Bankar

Assistant Professor

Prof. Nisha Gaur

Assistant Professor

Prof. Gaytri Dharap

Assistant Professor

Prof. Vandana Sharma

Assistant Professor

Prof. Diksha Bombe

Assistant Professor