B.Sc. D.S. (Bachelor of Science in Data Science)
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- B.Sc. D.S. (Bachelor of Science in Data Science)
SEMESTER I
| Course Code | Course Type | Course Name | Credits | Marks |
| USDS101 | DSC | Descriptive Statistics | 02 | 100 |
| USDS1P1 | DSC | Descriptive Statistics Practical | 02 | 50 |
| USDS102 | DSC | Introduction to Programming | 02 | 100 |
| USDS1P2 | DSC | Introduction to Programming Practical | 02 | 50 |
| USDS103 | DSC | Web Technology | 02 | 100 |
| USDS1P3 | DSC | Web Technology Practical | 02 | 50 |
| USDS104 | AECC | Business Communication and Information Ethic | 02 | 100 |
| USDS1P4 | AECC | ICT Practical | 02 | 50 |
| USDS105 | DSC | Precalculus | 02 | 100 |
| USDS1P5 | DSC | Precalculus Tutorials | 02 | 50 |
| 20 | 750 | |||
| B.Sc. D.S. Syllabus Link | ||||
SEMESTER II
| Course Code | Course Type | Course Name | Credits | Marks |
| USDS201 | DSC | Probability and Distributions | 02 | 100 |
| USDS2P1 | DSC | Probability and Distributions Practical | 02 | 50 |
| USDS202 | DSC | Database Management | 02 | 100 |
| USDS2P2 | DSC | Database Management Practical | 02 | 50 |
| USDS203 | DSC | R Programming | 02 | 100 |
| USDS2P3 | DSC | R Programming Practical | 02 | 50 |
| USDS204 | AECC | Environmental Science | 02 | 100 |
| USDS2P4 | AECC | Project Presentation on Data Science in Environmental Science | 02 | 50 |
| USDS205 | DSC | Calculus | 02 | 100 |
| USDS2P5 | DSC | Calculus Tutorials | 02 | 50 |
| 20 | 750 | |||
| B.Sc. D.S. Syllabus Link | ||||
SEMESTER III
| Course Code | Course Type | Course Name | Credits | Marks |
| USDS301 | DSC | Testing of Hypothesis | 02 | 100 |
| USDS3P1 | DSC | SPSS Practical | 02 | 50 |
| USDS302 | DSC | Data Structures | 02 | 100 |
| USDS3P2 | DSC | Data Structures Practical | 02 | 50 |
| USDS303 | SEC | Microeconomics / Principles of Management | 02 | 100 |
| USDS3P3 | SEC | Case Studies on Microeconomics | 02 | 50 |
| USDS304 | DSC | Data Warehousing | 02 | 100 |
| USDS3P4 | DSC | Data Warehousing Practical | 02 | 50 |
| USDS305 | DSC | Linear Algebra and Discrete Mathematics | 02 | 100 |
| USDS3P5 | DSC | Tutorials on Linear Algebra and Discrete Mathematics | 02 | 50 |
| 20 | 750 |
SEMESTER IV
| Course Code | Course Type | Course Name | Credits | Marks |
| USDS401 | DSC | Optimization Techniques | 02 | 100 |
| USDS4P1 | DSC | Optimization Techniques Practical | 02 | 50 |
| USDS402 | DSC | Big Data | 02 | 100 |
| USDS4P2 | DSC | Big Data Practical | 02 | 50 |
| USDS403 | SEC | E-Commerce and Business Ethics / Fundamentals of Accounting | 02 | 100 |
| USDS4P3 | SEC | MATLAB Practical | 02 | 50 |
| USDS404 | DSC | Algorithms in Data Science | 02 | 100 |
| USDS4P4 | DSC | Algorithms in Data Science Practical | 02 | 50 |
| USDS405 | DSC | Numerical Methods | 02 | 100 |
| USDS4P5 | DSC | Numerical Methods Practical | 02 | 50 |
| 20 | 750 |
SEMESTER V
| Course Code | Course Type | Course Name | Credits | Marks |
| USDS501 | DSC | Artificial Intelligence | 02 | 100 |
| USDS5P1 | DSC | Artificial Intelligence Practical | 02 | 50 |
| USDS502 | DSC | Business Research Methods | 02 | 100 |
| USDS5P2 | DSC | Business Research Methods Practical | 02 | 50 |
| USDS503 | SEC | Data Mining | 02 | 100 |
| USDS5P3 | SEC | Data Mining Practical | 02 | 50 |
| USDS504 | DSC | Campus to Corporate | 02 | 100 |
| USDS5P4 | DSC | Project Dissertation | 02 | 50 |
| Elective 1 (Select Any one of the following) | ||||
| USDS505a | DSE | Reinforcement Learning | 02 | 100 |
| USDS505b | DSE | Marketing and Retail Analytics | ||
| USDS505c | DSE | Supply Chain and Logistics Analytics | ||
| USDS505d | DSE | Robotic Process Automation | ||
| Compulsory Practical | ||||
| USDS5P5 | DSC | Data Visualisation with Power BI / Tableau | 02 | 50 |
| 20 | 750 | |||
SEMESTER VI
| Course Code | Course Type | Course Name | Credits | Marks |
| USDS601 | DSC | Machine Learning | 02 | 100 |
| USDS6P1 | DSC | Machine Learning Practical | 02 | 50 |
| USDS602 | DSC | Cloud Computing | 02 | 100 |
| USDS6P2 | DSC | Cloud Computing Practical | 02 | 50 |
| USDS603 | SEC | Internet of Things | 02 | 100 |
| USDS6P3 | SEC | Internet of Things Practical | 02 | 50 |
| USDS604 | DSC | Business Forecasting | 02 | 100 |
| USDS6P4 | DSC | Business Forecasting Practical | 02 | 50 |
| Elective 2 (Select Any one of the following) | ||||
| USDS605a | DSE | Financial Analytics | 02 | 100 |
| USDS605b | DSE | Social Media Analytics | ||
| USDS605c | DSE | Knowledge Management | ||
| USDS605d | DSE | Data Security and Compliance | ||
| Compulsory (Project Implementation) | ||||
| USDS6P5 | DSC | Project Implementation | 02 | 50 |
| 20 | 750 | |||
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Course Features
- Duration : 3 Years
- Semesters : 6
- Learning Mode : Regular
- Seats : 60
- Eligibility : 12th Standard