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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

About the Laboratory
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
DBMS Lab
DBMS Lab

About the Laboratory
The DBMS Laboratory is designed to provide practical exposure to database design, implementation, administration, and big data technologies. The lab enables students to gain hands-on experience with relational databases, NoSQL databases, data warehousing, and distributed computing platforms. It supports academic courses, project work, research activities, and industry-oriented training in database management and data analytics.
Key learning areas include:
• Database Design and Normalization
• SQL Query Processing
• Database Administration
• NoSQL Database Management
• Big Data Storage and Processing

Equipment / Lab List
Total Systems: 25 PCs
Processor: Intel Core i5 (Latest Configuration)
Primary Software: MySQL, MongoDB, Hadoop, Spark, Hive, Power BI, and related database development tools.
Computer Programming Lab
Computer Programming Lab

About the Laboratory
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
AI Lab-1
AI Lab-1

About the Laboratory
The Artificial Intelligence (AI) Laboratory is established to provide students with practical knowledge and hands-on experience in Artificial Intelligence, Machine Learning, Deep Learning, Data Science, Computer Vision, Natural Language Processing (NLP), and Generative AI technologies. The laboratory serves as a platform for academic learning, research, innovation, and industry-oriented project development.
The lab enables students to:
• Develop and deploy AI and Machine Learning models.
• Perform data analysis and predictive analytics.
• Design Deep Learning and Neural Network applications.
• Work on Computer Vision and Image Processing projects.
• Build Natural Language Processing (NLP) applications.
• Explore Generative AI and Large Language Models (LLMs).

Equipment / Lab List
Total Systems: 30 PCs
Processor: Intel Core i5 (Latest Configuration)
Primary Focus: Artificial Intelligence, Machine Learning, Deep Learning, Data Science, NLP, Computer Vision, and Generative AI Applications.
Web Technology Lab
Web Technology Lab

About the Laboratory
The Web Technology Laboratory is established to provide students with practical exposure to modern web development technologies, website design, web application development, and deployment. The laboratory enables students to gain hands-on experience in front-end and back-end development, database integration, responsive web design, and cloud-based web applications.
The lab supports academic coursework, project development, research activities, internships, and industry-oriented training in web technologies.
Objectives
• Design and develop responsive websites.
• Create dynamic and interactive web applications.
• Learn client-side and server-side scripting.
• Integrate databases with web applications.
• Develop full-stack web development skills.

Equipment / Lab List
Total Systems: 40 PCs
Processor: Intel Core i5 (Latest Configuration)
Primary Focus: Web Design, Full-Stack Development, Database Integration, API Development, Cloud Deployment, and Modern Web Technologies.

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
Download Resume
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
Mr.Dnyaneshwar V.kudande
Mr.Dnyaneshwar V.kudande
Assistant Professor
Dr.Sudnya Vanakudre
Dr.Sudnya Vanakudre
Asst Professor
Ph.D., Mathematics , M.Sc, Mathematics 10 Year exp. sudnya.vanakudre@srttc.ac.in
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
Download Resume
Ms Sanika Kolhe
Ms Sanika Kolhe
Lecturer
M Tech Pursing (CSE), B. E. (CE) 1 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
Download Resume
Ms Tanuja Phirke
Ms Tanuja Phirke
Lecturer
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
Lecturer
❖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
Download Resume

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
Industrial Visit to the Maratha Entrepreneur Expo 2026
28
Feb 2026
Other
Industrial Visit to the Maratha Entrepreneur Expo 2026

Industrial Visit to the Maratha Entrepreneur Expo 2026 The Department of Computer Science and Engineering (Data Science) successfully organized and executed an industrial visit to the Maratha Entrepreneur Expo 2026 for our students. The visit took place on 28th February 2026 at the Agricultural Grounds, Shivajinagar, Pune. The expo provided a dynamic platform for students to observe a wide spectrum of technical exhibits, innovative startups, and established business ventures. This exposure was instrumental in bridging the gap between theoretical knowledge and practical industry applications. The visit was particularly relevant to the curriculum, complementing studies in Entrepreneurship Development, Technology Commercialization, Startup, and Environmental Studies (EVS). The visit was conducted under the invaluable guidance of our respected Head of Department, Dr. A. B. Manwatkar, and was efficiently coordinated by Dr. Sudnya A. V. We also extend our sincere gratitude to our esteemed Director, Dr. Jayawant B. Sankpal, I/c Principal, Dr. Pooja Sharma, and the Management for their unwavering support and encouragement in facilitating such enriching academic activities. The event was highly successful in enhancing the technical competency, entrepreneurial mindset, and professional readiness of the participating students.

Maratha Entrepreneur Expo 2026, Agricultural Ground, Shivajinagar, Pune View Details
Navonmesh 24 Hours National Level Hackathon 2026
27
Feb 2026
Technical
Navonmesh 24 Hours National Level Hackathon 2026

Department of CSE(DS) is proud to announce that our students participated in the , “Navonmesh 24 Hours National Level Hackathon 2026”, Kothrud, and successfully advanced to the second round of the competition. Competing under the team name *“Debug Squad”, the event was conducted on 27th and 28th February 2026 , where the students showcased exceptional innovation, teamwork, and problem-solving abilities. During the 24-hour intensive hackathon, the team worked collaboratively to develop practical and innovative solutions addressing real-world challenges. The team was mentored by “Ms. Tanuja Phirke” whose continuous guidance, technical expertise, and encouragement significantly contributed to their performance. The students also received valuable leadership and motivation from the respected Head of the Department Dr. A. B. Manwatkar , Mr. D.V. Kudande, Dr. S.A. Vanakudre, Ms. Sanika Kolhe & Ms. S.R. Jondhale, whose support inspired them to strive for excellence. The Department expresses its sincere gratitude to the esteemed Director, Prof. (Dr.) J. B. Sankpal Sir, I/c Principal, Prof. (Dr.) Pooja Sharma and the Management for their constant encouragement and unwavering support in promoting innovation, research culture, and academic excellence among students. The Department of CSE (DS), along with the Honourable Director Sir, congratulates Team “Debug Squad” on their commendable achievement and extends best wishes for their continued success in future competitions and innovative endeavours.

MES Institute of Management & Career Courses (IMCC), Pune View Details

Downloads

Admission Process
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Admission Brochure
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SE CSE(DS) Syllabus
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TE CSE(DS) Syllabus
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BE CSE(DS) Syllabus
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