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Computer Science and Engineering (Data Science)

Home Home Departments Computer Science and Engineering (Data Science)
Computer Science and Engineering (Data Science)
UG | Intake: 60
About Department

Computer Science and Engineering (Data Science)

60
Intake Capacity
UG
Program Type
2023
Established
Computer Science and Engineering (Data Science)

Brief Information about Department CSE (DS)
Degree Program offered: B.E. in Computer Science & Engineering (Data Science)
Program Duration: 4 Years
Year of Establishment: 2023
Intake: 60

When we hear the term "Computer Science & Engineering (Data Science)," concepts like machine learning algorithms, big data analysis, artificial intelligence applications, and computer vision often come to mind. These are tangible examples of the field's capabilities, showcasing its power and potential. Unlike other disciplines, we can anticipate ongoing advancements and innovations in Computer Science & Engineering (Data Science) that will revolutionize various industries and domains.
India is rapidly embracing new and emerging technologies, particularly in the fields of AI and data science. Enterprises across diverse industry verticals are actively recruiting experts in these fields to leverage big data for actionable insights. The analytics sector is experiencing a surge in demand for professionals with a deep understanding of both business and technology. Organizations are actively seeking individuals who can bridge the gap between these domains to meet the increasing demand for skilled talent in the industry.

Vision & Mission

Vision

"The Computer Science and Data Science is dedicated to persistently improve its Educational Environment in order to develop rural youth with strong Academic and Technical backgrounds"

Mission

∙ To encourage students to become dynamic, problem-solving individuals who can find and understand the knowledge needed to be successful in the profession.
∙ Enrich Industry Institute Interaction program to get accustomed with corporate culture.
∙ To develop the students to survive with pioneering technology to meet IT industry needs and contributing to the progress of the nation.

Objectives

1. Build Strong Computing Fundamentals
2. Develop Data Analytics Skills
3. Train in Artificial Intelligence and Machine Learning
4. Promote Research, Innovation, and Problem Solving
5. Prepare Industry-Ready and Ethical Professionals

Laboratories

Data Science Lab-1
Data Science Lab-1

The Data Science Laboratory is a specialized computing facility designed to provide students with practical exposure to data analytics, machine learning, statistical modeling, and business intelligence techniques. The laboratory enables students to apply theoretical concepts to real-world datasets and develop data-driven solutions using modern tools and technologies.

The lab is equipped with 25 high-performance desktop computers, each powered by an Intel Core i5 processor, providing the computational capability required for data analysis, visualization, and machine learning applications. The laboratory environment supports hands-on learning through practical sessions, projects, workshops, and research activities in the field of Data Science.

Equipment / Lab List
Total Computers: 25
Processor: Intel Core i5
Software & Tools: Anaconda Navigator, Jupyter Notebook, Spyder, PyCharm, Power BI
Programming Language: Python
Applications: Data Analytics, Machine Learning, Data Visualization, Business Intelligence, Statistical Analysis, and Research
Computer Programming Lab
Computer Programming Lab

The Computer Programming Laboratory is designed to provide students with practical knowledge and hands-on experience in programming and software development. The laboratory supports the academic curriculum by enabling students to learn, practice, and implement various programming concepts through experiments, assignments, and project work.

The lab is equipped with 25 desktop computers, each configured with an Intel Core i3 processor, ensuring a reliable and efficient computing environment for programming activities. The systems are installed with the necessary development tools, compilers, and integrated development environments (IDEs) required for coding and software development.

Equipment / Lab List
Total Computers: 25
Processor: Intel Core i5
Programming Languages Supported: Python, C++, Java
Facilities: Programming IDEs, Compilers, Internet Connectivity, Project Development Environment

Faculty Members

Dr. Ashish B. Manwatkar
Dr. Ashish B. Manwatkar
HOD, CSE(Data Science)
Ph.D. (CSE), ME(CE) 23 exp. hodcsds@srttc.ac.in
❖Objective:
To obtain a challenging academic position where I can utilize my extensive experience in teaching,
research and administration to mentor students, contribute to advanced research in AI and Data
Science and support institutional growth.

❖ Area of Interest
 Data Science & Machine Learning
 Deep Learning & Artificial Intelligence(Agentic)
 Python (NumPy, Pandas, ML Libraries)
 IoT & Real-time Analytics
 Research & Academic Leadership
Mr. D.V. Kudande
Mr. D.V. Kudande
Asst Professor
Pursuing Ph.D. (CE), ME (CE) 15 exp. dnyaneshwar.kudande@srttc.ac.in
❖ Objective:
Passionate Machine Learning and Data Science educator committed to delivering engaging, industryrelevant instruction, mentoring diverse learners, and integrating practical applications into the classroom to prepare students for data-driven careers.

❖ Area of Interest
 Data Science & Machine Learning
 Deep Learning & Artificial Intelligence(Agentic)
 Python (NumPy, Pandas, ML Libraries)
 IoT & Real-time Analytics
 Research & Academic Leadership
Download Resume
Dr.Sudnya Vanakudre
Dr.Sudnya Vanakudre
Asst Professor
Ph.D., Mathematics , M.Sc, Mathematics 10 Year exp.
Objective:
To obtain a challenging academic position where I can apply my expertise in A.I using Mathematics ,
research skills, and teaching abilities while contributing to innovation, knowledge development, and
student success.

Area of Interest
Artificial Intelligence, Python, Machine learning, Data science , Statistics
Ms Sanika Kolhe
Ms Sanika Kolhe
Asst Professor
M Tech (CSE) 2 exp. sanika.k@srttc.ac.in
Objectives: To secure a challenging teaching position where I can utilize my experience, classroom management
skills, and innovative teaching methods for student success.
Area of Interest: Artificial Intelligence ,Cloud Computing, Machine Learning
Ms Tanuja Phirke
Ms Tanuja Phirke
Asst Professor
Objective:
To secure a challenging teaching position where I can utilize my experience, classroom management
skills, and innovative teaching methods for student success.
Area of Interest
Web Development, Artificial Intelligence, Python, Machine learning
Download Resume
Ms. Samiksha Jondhale
Ms. Samiksha Jondhale
Asst Professor
❖Objective: To build a career in Python, Data Analytics, and Data Science where I can apply my
technical skills and continuously learn new technologies.

❖ Area of Interest
▪ Python
▪ Data Analytics
▪ Data Science
▪ Machine Learning
▪ C, C++
▪ HTML, CSS

Activities

Expert Lecture on “AI for Digital Marketing”
15
Apr 2026
Technical
Expert Lecture on “AI for Digital Marketing”

The Department of Computer Science and Engineering (Data Science) successfully organized an expert lecture on “AI for Digital Marketing” on 15th April, 2026. The session was conducted with the objective of providing students with exposure to the practical applications of Artificial Intelligence (AI) in the rapidly evolving field of digital marketing. The lecture was delivered by Mr. Rohit Deoo, Founder of Alive Digital Group of Companies, Pune, who brought valuable industry insights and real-world experience to the session. His expertise helped bridge the gap between academic learning and industry practices. Objectives of the Session The primary objectives of the expert lecture were: To understand the role of AI in modern digital marketing To introduce students to AI-powered tools and technologies To explore real-world applications of AI in marketing strategies To enhance knowledge of data-driven decision-making

S. M. Kuvelkar Seminar Hall View Details
Infosys Springboard Pragati: Path to Future
23
Mar 2026
Placement
Infosys Springboard Pragati: Path to Future

🌸*Big congratulations to all the CSE (Data Science) students who have been selected for an 8-month internship (6 months online + 2 months offline) at Infosys through Infosys Springboard!* 🌸 💐 *Congratulations to the selected students:* * 🌷 Shraddha Rahane * 🌷 Madhura More * 🌷 Anushree Ghuge * 🌷 Jaanvi Patil 🌼 Wishing you all great success in your journey ahead! 🌼

Expert Session on How to Build Your Technical Profile with Current Industry Trends
11
Mar 2026
Technical
Expert Session on How to Build Your Technical Profile with Current Industry Trends

The Department of CSE (DS) successfully organized an Expert Session on “How to Build Your Technical Profile with Current Industry Trends” for SE (CSE-DS/Computer/AIDS) students on 11th March 2026. The session was delivered by Mr. Santosh Nagargoje, Principal Engineer , Senior Technical Lead at Magic Software Private Limited, Noida. He shared valuable insights on building a strong technical profile, understanding current industry trends, and preparing students for future opportunities in the technology sector. The session was provided students with practical knowledge, industry exposure, and motivation to enhance their technical and professional skills.

S. M. Kuvelkar Seminar Hall View Details

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