The B.Tech program in Data Science & Engineering aims to equip engineering graduates with the expertise needed to excel as skilled Data Scientists. The program places a strong emphasis on fundamental data science principles, complemented by computational mathematics, statistics, and computer science courses.
Data Science
Head Of Department
Dr. Parashu Ram Pal
Professor & Head
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About Department
Data Science (CSEDS)
Overview
Data Science represents a unique intersection of disciplines, including Computer Science, Computational Mathematics, Statistics, and Management. Data engineering encompasses various aspects such as data collection methodologies, designing enterprise-level data storage, and retrieval systems. The core data science subjects cover a spectrum of topics, including data analytics, visualization, predictive modeling, and leveraging analytics for informed decision-making.
Students will delve into topics like knowledge representation, machine learning, artificial intelligence, and deep learning through practical case studies. Additionally, they will have the opportunity to explore industry-specific elective courses tailored to their interests, such as blockchain technologies, quantum computing, data forensics, data privacy, algorithmic trading, and data security.
Furthermore, students can opt for a minor specialization in business, finance, or healthcare analytics, allowing them to gain deeper insights into specific domains relevant to their career aspirations.
Vision
The Department of CSE (Data Science) endeavours to be recognized globally for outstanding education and research leading to develop industry-ready Data Science professionals capable of innovation, data-driven problem solving, and contributing to development of the Nation.
Mission
- Provide quality education in Data Science and analytics.
- Promote research, innovation, and practical problem-solving skills.
- Prepare students for careers, higher studies, and entrepreneurship with ethics.
- PEO1: Gain strong knowledge and skills in Data Science and analytics.
- PEO2: Apply data-driven solutions to real-world problems.
- PEO3: Demonstrate ethics, teamwork, and leadership in professional life.
- Engineering Knowledge - Apply the knowledge of mathematics, science, engineering fundamentals, and an engineering specialization to the solution of complex engineering problems.
- 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.
- Design/Development of Solutions - Design solutions for complex engineering problems and design system components or processes that meet specified needs with appropriate consideration for public health and safety, and cultural, societal, and environmental considerations.
- Conduct Investigations of Complex Problems - Use research-based knowledge and research methods, including design of experiments, analysis and interpretation of data, and synthesis of information to provide valid conclusions.
- 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 their limitations.
- The Engineer and Society - Apply reasoning informed by contextual knowledge to assess societal, health, safety, legal, and cultural issues and the consequent responsibilities relevant to professional engineering practice.
- Environment and Sustainability - Understand the impact of professional engineering solutions in societal and environmental contexts, and demonstrate knowledge of and the need for sustainable development.
- Ethics - Apply ethical principles and commit to professional ethics, responsibilities, and norms of engineering practice.
- Individual and Teamwork - Function effectively as an individual, and as a member or leader in diverse teams and multidisciplinary settings.
- Communication - Communicate effectively on complex engineering activities with the engineering community and society at large, including the ability to comprehend and write effective reports and design documentation, make effective presentations, and give and receive clear instructions.
- Project Management and Finance - Demonstrate knowledge and understanding of engineering and management principles and apply these to one’s own work, as a member and leader in a team, to manage projects and work in multidisciplinary environments.
- 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.
- PSO1: Analyze and interpret data to develop predictive models.
- PSO2: Implement Data Science solutions using modern tools.
- PSO3: Work effectively in teams, communicate professionally, and follow ethical data practices.
Admission process
At PIMR, we prepare you to launch your career by providing a supportive, creative, and professional environment from which to learn practical skills.
FAQ's
PIMR Bhopal offers industry-oriented Data Science education, modern laboratories, skilled faculty, practical training, and placement support for students pursuing technology-driven careers in Bhopal.
Students must complete 10+2 with Physics, Chemistry, and Mathematics from a recognized board to apply for the B Tech Data Science program.
Yes, PIMR provides placement assistance, internships, industry exposure, and skill development programs to help Data Science students secure rewarding career opportunities.
PIMR offers advanced computer labs, smart classrooms, high-speed internet, research support, and project-based learning facilities for Data Science students in Bhopal.
Students can apply online through the official PIMR website by submitting the application form, required documents, and admission-related details successfully.
The program includes machine learning, artificial intelligence, big data analytics, programming, statistics, and database management with practical industry-focused training modules.
Phone: 7880161302 / 03