Student must have passed 10+2 or equivalent examination with Physics, Mathematics and English as compulsory subjects along with Chemistry or Biotechnology or Biology or any technical vocational subjects as optional with a minimum of 60% marks (55% in case of SC/ST) taken together in Physics, Mathematics and any one of the optional subjects.
The B.Tech. (Honors) in Computer Science & Engineering (Data Science) provides a comprehensive and dynamic curriculum that focuses on equipping students with fundamental concepts, techniques, and tools to analyze and interpret complex data, extract meaningful insights, and make data-driven decisions. The program emphasizes hands-on experience with real-world data, preparing graduates to be in high demand in a growing field with numerous career opportunities.
The advent of the internet has transformed the business landscape by expanding the digital technology industry. Every online action leaves a digital footprint leading to a rapid explosion of data daily. This data provides valuable insights for organizations to monitor customer behavior and make data-driven decisions. Computer Science professionals play a critical role in extracting and analyzing this data, resulting in a vast number of job opportunities in this sector. To meet this demand, JAIN (Deemed-to-be University) offers B.Tech (Honors) - Computer Science & Engineering (Data Science), which prepares students for a successful career in this field.
On completion of the Data Science program, students will possess the following program specific outcomes:
Duration of the program: 4 years
Department Specific Electives |
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| DSE Tracks | Elective-I | Elective-II | Elective-III | Elective – IV | Elective – V | Elective – VI | |||||||
| 5th Semester | 6th Semester | 6th Semester | 7th semester | 7th Semester | 8th Semester | ||||||||
| Track-I | Data Analytics and Visualization | Data Visualization using Tableau | Data Analytics using SQL | Visualization using Power BI (Business Intelligence) | Social Media Analytics | Big Data Analytics on Cloud | Predictive Analytics | ||||||
| Track-II | Artificial Intelligence | Artificial Intelligence | Sensor Technologies | Natural Language Processing and Text Mining | Reinforcement Learning | Digital Image Processing | Robotics Process Automation | ||||||
| Track-III | Computational Models and Data Mining | Numerical Analysis and Optimization | Data Warehousing and Data Mining | Time Series Analysis | Probabilistic Graphical Models | Bio Inspired Optimizations Techniques | Enterprise Data Lake | ||||||
Computer Science and Engineering (Open Elective Baskets) |
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| Sl. No | Finance and Accounting | Entrepreneurship and new venture creation | Marketing and Management |
| 1 | Finance for non-finance professionals | Entrepreneurship Theory and Practice | Marketing Management |
| 2 | Wealth Management | Launching and managing an enterprise | Consumer Behavior |
| 3 | Indian Financial System | Business Plan and Project Implementation | Brand Management |
| 4 | Financial Reporting | Sustainable Entrepreneurship | Product Management |
Students are provided with a structured learning path integrated with contributions from the following organizations. This approach facilitates a holistic comprehension of diverse facets within the field, empowering students to cultivate specialized skills and knowledge as they progress through their academic journey.