Welcome to the Department of Data Science
The Department of Data Science prepares students to meet the challenges of the modern digital world through quality education in data analysis, programming, machine learning, and intelligent technologies.
About the Department
The Department of Data Science is committed to developing skilled, responsible, and industry-ready graduates who can work with data, technology, and intelligent systems to solve real-world problems.
The department provides a strong academic foundation in programming, statistics, machine learning, data visualization, databases, and applied analytics. It emphasizes hands-on learning, project-based education, and exposure to emerging areas such as artificial intelligence, big data analytics, cloud computing, and business intelligence.
Established with the vision of addressing the growing demand for data professionals, the department nurtures students through a balanced approach that includes classroom learning, laboratory practice, mini projects, internships, seminars, and industry interaction.
Vision & Mission
Vision
To be a center of excellence in Data Science education and research by creating competent professionals with strong technical knowledge, ethical values, and social responsibility.
Mission
- To provide quality education in Data Science through a curriculum relevant to industry and society.
- To develop problem-solving, analytical, and programming skills through practical training and project-based learning.
- To promote research, innovation, and interdisciplinary applications in data analytics, machine learning, and intelligent systems.
- To prepare students for higher studies, entrepreneurship, and successful careers in the global technology environment.
Program Outcomes
- Apply mathematical, statistical, and computational techniques for data-driven problem solving.
- Design and implement solutions using programming, databases, machine learning, and visualization tools.
- Analyze large and complex datasets to derive meaningful insights for decision-making.
- Work effectively in teams, communicate professionally, and follow ethical practices in data handling and technology use.
- Adapt to emerging technologies and pursue lifelong learning in the field of data science and analytics.
Curriculum Highlights
The curriculum is designed to build knowledge progressively from fundamentals to advanced applications. Students learn subjects such as Programming for Data Science, Linear Algebra, Probability and Statistics, Database Management Systems, Data Visualization, Machine Learning, Data Mining, Big Data Analytics, Cloud Computing, Deep Learning, and Natural Language Processing.
The program also includes mini projects, laboratory work, internships, and major project work to help students gain practical exposure and industry readiness.
Laboratories & Facilities
The department provides an academic ecosystem that supports teaching, learning, and experimentation in data-centric technologies.
- Well-equipped computer laboratories.
- High-speed internet and smart classrooms.
- Software tools for analytics, programming, and machine learning.
- Project guidance and technical support for research and innovation.
Student Activities
The department encourages students to take part in academic and co-curricular activities that improve technical, communication, and leadership skills.
- Workshops and seminars.
- Technical quizzes and coding competitions.
- Paper presentations and project exhibitions.
- Industrial visits and internship programs.
- Hackathons and innovation challenges.
Research & Innovation
The department promotes a culture of inquiry, experimentation, and innovation in the domain of data science and allied areas.
Major focus areas include machine learning, deep learning, data analytics, visualization, intelligent systems, and real-world data applications in healthcare, business, education, agriculture, and public systems.
Career Opportunities
Data Science graduates have opportunities in multiple sectors because organizations increasingly depend on data for planning, prediction, and decision-making.
- Data Analyst
- Data Scientist
- Machine Learning Engineer
- Business Intelligence Analyst
- Data Engineer
- Research Associate
- Software Professional in analytics-driven roles
Faculty
The Department of Data Science is supported by dedicated and qualified faculty members who bring academic knowledge, technical expertise, and mentoring support to students.
Our faculty team is committed to student success through quality teaching, academic guidance, project supervision, and career mentoring. The department promotes a learner-centered environment where faculty and students work together on knowledge creation and practical problem solving.
| Sr. No. | Name of the Staff | Designation | Qualifications | Subjects Taught | Experience | Photo | Contact No. | Email ID |
|---|---|---|---|---|---|---|---|---|
| 1 | Mr. N. D. Jagtap | Assistant Professor (Incharge HoD) |
MCS | C, Java, Python, .NET, RDBMS, Data Science | 21 Years |  |
9404480500 | nilkantjagtap@gmail.com |
| 2 | Dr. V. P. Pawar | Assistant Professor | M.Sc. CS, Ph.D | 30 Years | Photo |
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| 3 | Dr. J. D. Bhosale | Assistant Professor | ME CNE, Ph.D | 6 Year |  |
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| 4 | Mr. G. V. Shinde | Assistant Professor | M.Sc. CS, NET | 2 Year |  |
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| 5 | Mr. S. S. Shaikh | Assistant Professor | M.Sc. SE | PHP, C, Java, Python, .NET, RDBMS | 11 Year |  |
9860709786 | sameeroddin@gmail.com |
| 6 | Mr. G. P. Shinde | Assistant Professor | MCA | Android, C, Java, Python, .NET, RDBMS | 8 Year |  |
9975349375 | gopalpshinde@gmail.com |
| 7 | Mr. K. H. Kondekar | Assistant Professor | MCA | C, Java, Python, .NET, RDBMS | 2 Year |  |
8806608167 | Kondekarkishan@gmail.com |
| SN | Name of the Course | Eligibility | Duration |
|---|---|---|---|
| 01 | B.Sc. (Data Science) | 12th - Science Faculty | 3/4 Years |
| 02 | M.Sc. (Data Science) | Any Graduate | 2 Years |