Department of Computer Science & Engineering ( Data Science )

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Department of Computer Science & Engineering ( Data Science )

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    Started
    2020
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    Intake
    120
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    DTE Choice Code
    517291210

Dr. U. M. Patil

Head of Department

The Department of Computer Science & Engineering (Data Science) at R. C. Patel Institute of Technology (RCPIT), Shirpur was established in 2020 to address the rapidly growing global demand for skilled data science professionals. The department offers an undergraduate program in Data Science designed to provide students with comprehensive knowledge in data analysis, algorithmic thinking, and statistical modeling—equipping them to transform data into actionable insights.

Data Science is an interdisciplinary domain combining mathematics, statistics, computer science, information science, and domain-specific knowledge to analyze both structured and unstructured data. It encompasses key areas such as data mining, machine learning, big data analytics, business intelligence, and artificial intelligence.

As industries across sectors—finance, marketing, healthcare, IT, banking, and e- commerce—increasingly rely on data-driven decision making, Data Science has become one of the most in-demand careers globally. The role of a Data Scientist is recognized by leading companies like IBM as the “21st century’s most attractive job,” offering high growth potential and global career opportunities.

Vision of the Institute

To become a leading Institute in Technical education fostering innovation, research, ethical values, and sustainable development for the betterment of society.

Mission of the Institute

To impart high quality Technical Education through:

  • M1: Innovative and Interactive learning process and high quality, globally recognized instructional programs
  • M2: Fostering a collaborative scientific temper among students with ethical responsibility towards the society.
  • M3: Preparing students from diverse backgrounds to have aptitude for employment, entrepreneurship and research with a spirit of Professionalism.
  • M4: To contribute to nation’s sustainable development.

Vision of the Institute

To provide cutting-edge Computer Engineering education in Data Science while instilling socio-moral values.

Mission of the Institute

To impart high quality Technical Education through:

  • M1: To deliver state-of-the-art ICT-enabled teaching and learning to achieve excellence in Data Science education.
  • M2: To develop professionally competent Data Science Engineers, meeting evolving industrial and societal needs.
  • M3: To prepare employable professionals with ethical values and a commitment to professional and social responsibility.

Program Educational Objectives (PEOs) of the Department

  • PEO1: Graduates will achieve proficiency in Data Science and pursue lifelong learning to advance as professionals, entrepreneurs, and leaders.
  • PEO2: Graduates will operate effectively in diverse, dynamic professional and cultural environments, respecting societal perspectives.
  • PEO3: Graduates will demonstrate ethical values and social responsibility in their professional and personal lives.

Program Specific Outcomes (PSOs)

  • PSO 1: Apply programming concepts, algorithms, data structures to develop data driven software and Web solutions.
  • PSO 2: Develop Intelligent Solutions using Machine Learning, data analysis and cloud technologies for Practical Problem-solving.

Key Highlights of the Department

  • Qualified Faculty: 4 out of 12 faculty members hold Ph.D. degrees with specializations in data science, machine learning, or artificial intelligence.
  • Graduate Success: Over 268 students have enrolled since inception, with placements in data-driven and tech-driven companies.
  • Research & Publications: 34 + research papers published; 2 + patents filed or granted.
  • Industry Alignment: Curriculum includes industry-relevant tools and platforms such as Python, R, TensorFlow, Tableau, Power BI, and Hadoop.
  • Hands-On Learning: Practical exposure through mini projects, capstone projects, and industry assignments in every semester.
  • 6+ Modern Laboratories Well-equipped laboratories for Data Science.
  • Certifications: Support for students pursuing certifications in NPTEL, SWAYAM, IBM, Microsoft Learn, Google Cloud, etc.
  • Career-Oriented Training:
    • Regular aptitude and soft skill sessions
    • Mock interviews, resume building, and career guidance
    • Internship and placement support through central T&P cell
  • Hackathons & Competitions: Participation in national and regional level coding challenges, hackathons, and data-thons.
  • Modern Infrastructure: Labs equipped with high-performance computing systems, licensed software, and data analytics platforms.
  • Alumni & Industry Connect: Frequent guest sessions and mentoring from professionals working in top tech and analytics companies.
  • Global Relevance: Students trained to meet international standards for careers in AI, ML, data analytics, business intelligence, and research.

Student Development & Learning Culture

  • Emphasis on project-based learning, real-time case studies, and industry-led capstone projects.
  • Encouragement to pursue internships in data-centric companies and startups.
  • Active student clubs and coding communities to foster peer learning and innovation.
  • Focus on ethics in data handling, privacy, and responsible AI.

The Department of Computer Science & Engineering (Data Science) at RCPIT is a future-focused department that empowers students with deep analytical skills, technological expertise, and ethical responsibility. With strong academic foundations and active industry engagement, the department prepares students to excel as data scientists, AI specialists, and analytics professionals in a data-driven world.