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
To be a cornerstone of excellence, driving innovation, and fostering the development of highly skilled professionals poised to meet the demands of the evolving technical and professional landscape, thereby contributing significantly to societal advancement and national development.
Mission
To provide a comprehensive education in data science and engineering that prepares our students for success in a rapidly changing technological landscape. Cultivate an atmosphere conducive to innovative learning and research, fostering the creation of new knowledge. Prepare students for successful professional careers, higher education pursuing, or entrepreneurial endeavours.
- Graduates will possess fundamental and advanced knowledge of core courses and interdisciplinary engineering, enabling them to develop effective computing solutions through creative and logical reasoning.
- Graduates will be capable of developing software, understanding technical specifications, designing systems, and providing innovative solutions to societal problems through diligence, teamwork, and lifelong learning.
- Graduates will demonstrate strong communication skills, leadership abilities, ethical values, and effective time management in their professional careers.
- Graduates will be prepared to secure employment in industries, pursue higher studies, or become researchers or entrepreneurs.
- Demonstrate technical competence in the field of data science.
- Analyze, innovate, and pursue research and development in data science and engineering.
- Work effectively in multidisciplinary environments and adapt to the evolving needs of society.
- Communicate effectively, exhibit leadership skills, and demonstrate professionalism and ethical behavior.
- Engage in lifelong learning, apply knowledge judiciously, and maintain continuous employability.
- Demonstrate an understanding of mathematical, statistical, and AI techniques in the field of data science.
- Design and develop effective solutions using data analytics, visualization, and artificial intelligence.
- Apply data science techniques in various domains such as business, finance, and healthcare.
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.
