About
B.Tech CSE (Data Science) is a 4-year undergraduate degree programme. Data Science teaches the students how to combine machine learning techniques, algorithms, tools, business acumen and mathematics and apply on raw data to extract insight information from it. In short, technology, algorithm development and data inference are blended together to solve complex problems analytically in Data Science.
Throughout the entire duration of the programme, the students are taught how to amalgamate business knowledge, tools and statistics to generate business value in creative ways.
The four-year undergraduate curriculum includes a detailed delivery of Basic Sciences, Mathematical Foundations, Statistical Foundations, Artificial Intelligence, Machine Learning, Data Science, Deep Learning, and Data Visualization.
Why Choose CSE in Data Science?:
Choosing a CSE program with a specialization in Data Science offers a unique blend of computer science fundamentals and advanced data analysis techniques, positioning you at the heart of one of the fastest-growing fields in the tech industry. With the exponential growth of data, organizations across all sectors are increasingly relying on data scientists to derive meaningful insights, solve complex problems, and drive decision-making through data-driven strategies. The program provides a strong foundation in programming, machine learning, artificial intelligence, and big data analytics, making graduates highly versatile and in-demand. You’ll gain hands-on experience with cutting-edge tools and technologies, preparing you for various career paths such as data scientist, data engineer, machine learning engineer, or business analyst. With industries like healthcare, finance, e-commerce, and more integrating data science into their operations, this field offers excellent job prospects, competitive salaries, and opportunities for innovation. Additionally, the skills developed in data science are applicable globally, allowing for a wide range of career opportunities across industries and borders.
The eligibility criteria for a Bachelor of Technology in Computer Science and Engineering (CSE) Data Science program varies by institution, but generally includes:
- Passing score: A minimum aggregate score of 45–60% in 10+2 or equivalent examination
- Subjects: Physics and Mathematics are mandatory, and one of Chemistry, Computer Science, Electronics, IT, Biology, Informatics Practice, Biotechnology, Technical Vocational Subjects, Agriculture, Engineering Graphics, Business Studies, or Entrepreneurship is required
- Board: The examination must be from a recognized central or state board
- Other requirements: Some programs may require a pass in English and both theory and practical exams.
Future Scope:
- Growing Demand Across Industries: As data becomes central to decision-making, industries such as healthcare, finance, retail, manufacturing, and logistics will continue to demand skilled data scientists to analyze and interpret data for insights and efficiency.
- AI and Machine Learning Integration: Data science professionals will play a crucial role in advancing artificial intelligence (AI) and machine learning (ML) technologies, driving innovations in autonomous systems, natural language processing, and predictive analytics.
- Big Data Analytics: With increasing volumes of data generated by businesses, the future will see data scientists working with large datasets, applying analytics to optimize operations, enhance customer experiences, and identify new market opportunities.
- Data-Driven Decision Making: Data science professionals will be integral to organizations as they shift towards data-driven decision-making, using advanced algorithms and models to guide strategic planning, marketing, and product development.
- Healthcare and Precision Medicine: Data science will continue to revolutionize healthcare by enabling personalized medicine, predictive diagnostics, and real-time health monitoring, leading to better patient outcomes and innovative medical research.
- Cloud Computing and Data Engineering: The rise of cloud technologies will offer more opportunities for data scientists in designing and managing data pipelines, scalable systems, and data architecture, supporting businesses in real-time data processing.
