Experienced Faculty Members
was started in the year 2022. The goal of the Department is to prepare students for successful careers in software and hardware industry that meets the needs of Indian and multinational companies or to excel in higher studies. The Department has experienced and dedicated faculty members with strong commitment to the engineering education and professional ethics.
The data revolution has created novel challenges and unprecedented opportunities. The vision of the Department of Data Science is to create a first-class academic department that trains the next generation of students as data scientists who will solve these grand challenges and innovate through world-class research to take advantage of these opportunities.
M1: Educate students in a field that has ushered in a once-in-a-generation revolution, comparable to the industrial revolution and the original computing revolution.
M2: Provide an environment for leading edge research that has a strong and rapid impact on the economy and that reestablishes New Jersey as a world leader in technological advancement.
M3: Create a source of scholarship on the many technical, ethical, and privacy issues that ubiquitous data creation is constantly confronting us with.
M4: Establish a center of technology knowledge and a “go to organization" to service data creators, providers, managers, curators, and users of the State and the Nation.
Welcome to the Department of Computer Science & Engineering (Data Science) at Samarth College of Engineering & Management!
In today’s data-driven world, Data Science is transforming industries and reshaping how we solve complex problems. Our department is dedicated to providing students with a solid foundation in computer science and specialized knowledge in data analytics, machine learning, and big data technologies. We combine theoretical learning with practical application, preparing students to become innovative leaders in the field.
With a strong emphasis on research, industry collaboration, and hands-on projects, we ensure that our students are well-equipped to excel in the ever-evolving tech landscape. Our experienced faculty, modern labs, and nurturing environment offer a holistic approach to learning and development.
We are excited to guide our students on this journey and help them make meaningful contributions to the world of Data Science.
Best regards,
[Prof. Shelake S.D.]
Head of Department – Computer Science & Engineering (Data Science and AI)
Samarth College of Engineering & Management
PEO1: Possess confident professional Data Science skills to build powerful knowledge model to generate actionable insights, necessary for making data-driven decisions.
PEO2: Apply the structured statistical, mathematical methodology and visualization tools to process massive amount of data to identify hidden patterns to make predictions considering realistic constraints.
PEO3: Knowledge delivery in terms of analytics, visualization, design, research and development, product implementation, verification and validation, optimization in the field of Data Science by using modern tools and techniques.
PEO4: Problem solving for societal aspects, carrier enhancement by altering professional certifications, and seeking higher education
PSO1 | The ability to understand ,analyze and develop computer programs in the areas related to Algorithms, System Software, Machine Learning, Artificial Intelligence, Web Applications, Big Data Analytics and Networking for efficient design of computer-based systems of varying complexity. |
PSO2 | The ability to apply standard practices and strategies in software/ embedded project development using Open- ended programming environments to deliver a quality product for business success. |
PSO3 | The ability to employ modern computer languages, environments, and platforms in creating innovative career Paths to be an entrepreneur and a zest for higher studies. |
PO1 | Engineering knowledge | Apply the knowledge of mathematics, science, Engineering fundamentals ,and an Engineering specialization to the solution of complex Engineering problems. |
PO2 | Problem analysis | Identify, formulate, review research literature and analyze complex Engineering problems reaching substantiated conclusions using first principles of mathematics, natural sciences and Engineering sciences. |
PO3 | Design / Development of Solutions | Design solutions for complex Engineering problems and design system components or processes that meet the specified needs with appropriate consideration for the public health and safety,and the cultural,societal,and Environmental considerations. |
PO4 | Conduct Investigations of Complex Problems | Use research-based knowledge and research methods including design of experiments, analysis and interpretation of data, and synthesis of the information to provide valid conclusions. |
PO5 | Modern Tool Usage | Create, select, and apply appropriate techniques, resources, and modern Engineering and IT tools including prediction and modeling to complex Engineering activities with an understanding of the limitations. |
PO6 | The Engineer and Society | Apply reasoning in formed by the contextual knowledge to assess societal, health, fety, legal and cultural issues and the consequent responsibilities relevant to the professional engineering practices. |
PO7 | Environment and Sustainability | Understand the impact of the professional Engineering solutions in societal and Environmental contexts, and demonstrate the knowledge of, and need for sustainable development. |
PO8 | Ethics | Apply ethical principles and commit to professional ethics and responsibilities and norms of Engineering practice. |
PO9 | Individual and Team Work | Function effectively as an individual, and as a member or leader in diverse teams, and in multi disciplinary settings. |
PO10 | Communication Skills | Communicate effectively on complex Engineering activities with the Engineering community and with society at large, such as, being able to comprehend and write effective reports and design documentation, make effective presentations, and give and receive clear instructions. |
PO11 | Project Management and Finance | Demonstrate knowledge and understanding of Engineering and management principles and apply the set one’s own work, as a member and leader in a team ,to manage projects and in multidisciplinary Environments. |
PO12 | Life-long Learning | Recognize the need for, and have the preparation and ability to engage in independent and life-long learning in the broadest context of technological change. |
Sr.no | Photo | Name | Designation | Profile |
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1 | ![]() |
Prof. Shelake Shubham Dnyaneshwar | Head & Asst. Professor | Profile |
2 | ![]() |
Prof. Rashmi Santosh Dumbre | Asst. Professor | Profile |
3 | ![]() |
Thorat Prajakta Tanaji | Asst. Professor | Profile |
4 | ![]() |
Assi. Prof. Shelar Swapnali Abhijeet | Assistant Professor | Profile |
5 | ![]() |
Bramhane Priyanka Sandip | Assistant Professor | Profile |
6 | ![]() |
Prof. Chaudhari V.S. | Asst. Professor | Profile |
7 | ![]() |
Prof. Nawale Swapnil Kisan | Assistant Professor | Profile |
8 | ![]() |
Gulve Akanksha Babasaheb | Assistant Professor | Profile |
9 | ![]() |
Kale Ajay Sanjay | Assistant Professor | Profile |
10 | ![]() |
Varhadi Vaishnavi Sharad | Assistant Professor | Profile |
Sr.No. | Program Name | Action |
---|---|---|
1 | Academic Calender University | Download |
2 | Academic Calender DS - SEM 1 | Download |
3 | Academic Calender DS - SEM 2 | Download |
4 | Event Calender DS - 1 | Download |
5 | Event Calender DSc - 2 | Download |
Sr.No. | Program Name | Action |
---|---|---|
1 | Timetable Sem I | Download |
Our official diploma college brochure for the academic year **2021-22** provides detailed information about our **programs, faculty, infrastructure, student life, and placement opportunities**. Whether you're a prospective student or parent, explore everything our institution has to offer.
Experienced Faculty Members
Students Enrolled
Placement Success Rate
Notice about quiz & speech Competition
View NoticeNotice about role of big data seminar
View NoticeAn Engineering Physics Lab is a dedicated space where engineering students conduct hands-on experiments to gain a practical understanding of fundamental physics concepts, directly applying them to engineering principles through experiments like measuring refractive index, analyzing diffraction patterns, studying electrical properties of materials, and investigating thermal phenomena, all while developing essential data analysis and experimental skills.
Our department recently conducted an engaging Arduino project activity, where students showcased their innovative skills and creativity. Participants collaborated to design and implement various projects, demonstrating the versatility of Arduino technology in solving real-world problems.
The event not only fostered teamwork and critical thinking but also provided hands-on experience in coding, electronics, and project management. Students presented their projects, sharing insights into their design processes and the challenges they overcame.
This activity highlights our commitment to practical learning and empowers students to explore their interests in technology and engineering. Stay tuned for more updates on our upcoming events and projects!
Lab No. | 234A |
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Lab Name | Software Lab I |
Equipment’s | Desktop computer Core i5 6500T 2.5 GHz, 8GB RAM, 64 bit, 24 port & 16 port D-Link 1026 Switch, Switch Rack 2U, TP Link Wi-Fi Router |
Software Installed | OS Ubuntu 22.04.4 LTS, C++, Java, Python, Packet Tracer 8.2.2, Jupyter Notebook |
Software Lab I
Lab No. | 228 |
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Lab Name | Data Analytics |
Equipment’s | Lenovo Desktop Computer core i3, 24 port D-Link, 1026 Switch Rack 2U |
Software Installed | OS Ubuntu, Python, Jupyter Notebook, GCC, C++, MongoDB, Postman |
Data Analytics
Lab No. | 229 |
---|---|
Lab Name | Software Lab 2 |
Equipment | HP Desktop Computer Core i5, OS Name – Ubuntu 22.04.5 LTS OS Type – 64 bit Memory – 8.0 GB Processor – Intel Core i5 |
Software Installed | OS Ubuntu, G-edit, GCC, C++, Python, Jupyter Notebook, JDK |
Software Lab 2
Lab No. | 243 |
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Lab Name | IOT |
Equipment’s | Lenovo Desktop Computer core i3, 24 port D-Link, 1026 Switch Rack 2U |
Software Installed | OS Windows, Arduino IDE, Tinkercad |
Hardware | Arduino Board, Bread Board, Jumpers Wires, Resistors, LED,
Push
Buttons, Potentiometers, Servo Motor, Buzzer, DC Motor, Transistors, Diodes, Capacitors, Sensors, LCD Display, Power Supply |
IOT
IOT
Lab No. | 244 |
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Lab Name | Programming Lab |
Equipment’s | HP Desktop Computer Core i5, OS Name – Ubuntu 22.04.5 LTS, OS Type – 64 bit, Memory – 8.0 GB, Processor – Intel Core i5 |
Software Installed | OS Ubuntu, G-edit, GCC, C++, Python, Jupyter Notebook, JDK, MongoDB |
Programming Lab
Explore the innovative projects created by our talented diploma students. From software development to mechanical prototypes, our students excel in real-world applications.
1. To impart high-quality technical education and training that enables students to acquire in-depth knowledge and expertise in the field of pharmaceutical sciences to cater for the needs of the pharmacy profession and society at large.
2. To provide professional and interpersonal skills in students by providing a healthy and competitive environment.
Explore innovative projects categorized by department and technology.
A web-based learning portal students.
Software & WebControl home appliances using IoT.
IoT & EmbeddedA robot designed for campus deliveries.
Robotics & AutomationAn innovative fuel-efficient vehicle model.
Mechanical DesignA structural model for earthquake safety.
Civil EngineeringA structural model for earthquake.
Civil EngineeringTo establish a strong and engaged alumni network that fosters lifelong connections, professional growth, and meaningful contributions to society.
1. To create a platform for alumni to connect, collaborate, and share experiences that contribute to the growth of both individuals and the institution.
2. To support alumni in their professional journeys by providing networking opportunities, mentorship programs, and career development resources.
SR NO | PHOTO | NAME OF STUDENT | CGPA |
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1 | ![]() |
BANGAR POOJA SHIVAJI | 9.09 |
2 | ![]() |
CHAITRALI KISHOR SOMVANSHI | 8.73 |
3 | ![]() |
DHANAVE PRIYANKA RAMESH | 8.73 |
4 | ![]() |
ZAWARE GAURI BABAN | 8.50 |
5 | ![]() |
KALE SNEHAL NAMDEV | 8.27 |
SR.NO. | DEPARTMENT NAME | DOCUMENT |
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1 | SE DS RESULT-2024-25 | Download |
Author: Thorat Prajakta
Journal: International Journal of Scientific Research in Engineering and Management (IJSREM)
Year: Dec 2021
ISSN: 2582-3930
Authors: Mr. Chaudhari V.S. & Prof. Bhope V.P.
Journal: International Journal of Innovative Research in Advanced Engineering
Year: July 2014
ISSN: 2349-2163
Journal WebsiteAuthors: Mr. Chaudhari V.S., Prof. Matte P.N., Prof. Bhope V.P.
Journal: International Journal of Innovative Research in Advanced Engineering
Year: April 2015
ISSN: 2278-1323
Journal WebsiteAuthor: Miss. Bramhane Priyanka
Journal: International Journal for Science and Advance Research in Technology
Year: May 2024
ISSN: 2157-1087
Journal WebsiteAuthor: Mr. Nawale SWAPNIL K.
Journal: International Journal of Innovative Research in Computer and Communication Engineering
Year: April 2023
ISSN: 2320-9801
Journal WebsiteAuthor: Mr. Nawale SWAPNIL K.
Journal: International Journal of Innovative Research in Science, Engineering, and Technology
Year: January 2023
ISSN: 2319-8753
Journal WebsiteAuthor: Miss. Bramhane Priyanka
Journal: International Journal for Science and Advance Research in Technology
Year: Nov 2023
ISSN: 2395-1052
Journal WebsiteAuthor: Prof. Shelake S.D
Journal: IJSREM
Year: May 2021
ISSN: 2582-3930
Journal WebsiteAuthor: Prof. Shelake S.D
Journal: IJARIIE
Year: May 2021
ISSN: 2395-4396
Journal WebsiteAuthor: Prof. Shelake S.D
Journal: IJETT
Year: June 2021
ISSN: 2331-5381
Journal WebsiteAuthor: Prof. Shelake S.D
Journal: IJSREM
Year: Nov 2023
ISSN: 2582-3930
Journal WebsiteAuthor: Prof. Shelake S.D
Journal: IJARSCT
Year: Nov 2023
ISSN: 2581-9429
Journal Website