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| 1 | +<img src="https://r2cdn.perplexity.ai/pplx-full-logo-primary-dark%402x.png" class="logo" width="120"/> |
| 2 | + |
| 3 | +## Academic Aspects of the IIT Madras BS Degree in Data Science and Applications |
| 4 | + |
| 5 | +The academic structure and policies of the IIT Madras BS Degree in Data Science and Applications are designed to ensure rigor, flexibility, and accessibility for a diverse student population. Below are the key academic aspects as outlined in the official student handbook[^1]. |
| 6 | + |
| 7 | +--- |
| 8 | + |
| 9 | +### **Academic Calendar** |
| 10 | + |
| 11 | +- The program operates on a trimester system with three terms each year: January–April, May–August, and September–December. |
| 12 | +- All foundational, diploma, and mandatory BSc-level courses are offered every term, allowing students to choose their pace of study. |
| 13 | +- Students must complete each level within a specified maximum duration: |
| 14 | + - **Foundation Level:** 3 years (9 terms) |
| 15 | + - **Diploma Level:** 4 years (12 terms) |
| 16 | + - **BSc and BS Levels:** 3 years (9 terms each) |
| 17 | + - **Total Program:** 8 years (24 terms) maximum[^1]. |
| 18 | + |
| 19 | +--- |
| 20 | + |
| 21 | +### **Course Structure and Delivery** |
| 22 | + |
| 23 | +- **Online Delivery:** All courses are delivered online with weekly released content, including 2–4 hours of recorded lectures, tutorials, self-assessments, practice assignments, and transcripts. |
| 24 | +- **In-Person Exams:** Monthly quizzes and end-term exams are conducted in-person at designated centers. |
| 25 | +- **Credits:** 1 credit corresponds to 14 hours of learner engagement. The BSc degree requires 114 credits, while the BS degree requires 142 credits[^1]. |
| 26 | +- **Course Duration:** Most courses are 4 credits and run for 12 weeks. |
| 27 | + |
| 28 | +--- |
| 29 | + |
| 30 | +### **Evaluation and Grading** |
| 31 | + |
| 32 | +- **Assessment Components:** |
| 33 | + - **Weekly Online Assignments:** Best 5 out of the first 9 assignments are considered for eligibility to write the final exam. |
| 34 | + - **Two In-Person Quizzes:** Conducted at the end of weeks 4 and 8. |
| 35 | + - **End-Term Exam:** In-person, 1.5 hours per course, held at the end of the term. |
| 36 | +- **Eligibility:** To write the final exam, students must have an average assignment score of at least 40/100 and must have attended at least one quiz[^1]. |
| 37 | +- **Grading System:** Absolute grading with the following scale: |
| 38 | + - S (≥90), A (80–89), B (70–79), C (60–69), D (50–59), E (40–49), U (<40, Fail) |
| 39 | +- **Pass Criteria:** A total course score (sum of all components) of 40/100 is required to pass[^1]. |
| 40 | + |
| 41 | +--- |
| 42 | + |
| 43 | +### **Repeating Courses and Improvement** |
| 44 | + |
| 45 | +- **Repeating for Failure:** If a student fails or is not eligible for the final exam, they must repeat the entire course, including assignments, quizzes, and the final exam. |
| 46 | +- **Repeating for Improvement:** Students can repeat any course to improve their grade; the highest score is considered for CGPA. The fee for improvement is double the regular course fee. |
| 47 | +- **Make-Up Exams:** Allowed once for students who missed only the final exam (grade 'I'). The grading follows the original term's pattern[^1]. |
| 48 | + |
| 49 | +--- |
| 50 | + |
| 51 | +### **Course Registration and Credit Limits** |
| 52 | + |
| 53 | +- **Credit Clearing Capability (CCC):** Determines the maximum number of courses a student can register for in a term, based on performance in previous terms. |
| 54 | +- **Prerequisites:** Students must complete all required courses at one level before progressing to the next. Specific prerequisites exist for certain courses[^1]. |
| 55 | + |
| 56 | +--- |
| 57 | + |
| 58 | +### **Progression and Checkpoints** |
| 59 | + |
| 60 | +- **Foundation Level:** Must complete at least 4 courses in 4 terms, 6 in 6 terms, and all 8 in 9 terms to avoid removal from the program. |
| 61 | +- **Diploma Level:** Must complete at least 3 courses + 1 project in 3 terms, 6 courses + 2 projects in 6 terms, 9 courses + 3 projects in 9 terms, and all 12 courses + 4 projects in 12 terms[^1]. |
| 62 | +- **Degree Level:** Progression to the BSc degree requires a CGPA of 6.0 overall and 7.0 in diploma projects. |
| 63 | + |
| 64 | +--- |
| 65 | + |
| 66 | +### **Learning Paths and Flexibility** |
| 67 | + |
| 68 | +- Multiple entry and exit points: Students can exit with a Foundation Certificate, one or both Diplomas, BSc, or BS degree. |
| 69 | +- Students can choose their pace and take breaks, subject to maximum allowed gaps and completion timelines. |
| 70 | + |
| 71 | +--- |
| 72 | + |
| 73 | +### **Academic Awards and Recognition** |
| 74 | + |
| 75 | +- **Certificates of Merit, Distinction, and Excellence** are awarded at the completion of Foundation, Diploma, and BS levels based on CGPA. |
| 76 | +- **Minor in Economics and Finance:** Available only with the BS degree upon completion of additional prescribed courses[^1]. |
| 77 | + |
| 78 | +--- |
| 79 | + |
| 80 | +### **Credit Transfer** |
| 81 | + |
| 82 | +- **NPTEL/SWAYAM:** Up to 4 credits at the BSc level and 8 at the BS level can be transferred from approved NPTEL courses. |
| 83 | +- **IITM Campus Courses:** Eligible students can transfer up to 8 credits at BSc and 24 at BS level from on-campus courses, subject to CGPA and seat availability[^1]. |
| 84 | + |
| 85 | +--- |
| 86 | + |
| 87 | +### **Hardware and Software Requirements** |
| 88 | + |
| 89 | +- Minimum: 8GB RAM, modern processor, 500GB storage, webcam, mic, and stable internet. |
| 90 | +- Operating System: Windows 10, Ubuntu 20.04 LTS, or Mac OS Mojave or higher. |
| 91 | +- Required software includes Google Suite and the ability to install course-specific applications[^1]. |
| 92 | + |
| 93 | +--- |
| 94 | + |
| 95 | +### **Academic Integrity** |
| 96 | + |
| 97 | +- Plagiarism or cheating in assignments, projects, or exams leads to disciplinary action, including failure or removal from the program. |
| 98 | + |
| 99 | +--- |
| 100 | + |
| 101 | +### **Summary** |
| 102 | + |
| 103 | +The academic framework of the IIT Madras BS Degree in Data Science and Applications emphasizes flexibility, rigorous evaluation, and clear progression criteria, ensuring a robust and supportive environment for learners from diverse backgrounds to achieve their educational goals[^1]. |
| 104 | + |
| 105 | +--- |
| 106 | +[^1]: IITM-BS-Degree-Programme-Student-Handbook.pdf |
| 107 | + |
| 108 | +<div style="text-align: center">⁂</div> |
| 109 | + |
| 110 | +[^1]: IITM-BS-Degree-Programme-Student-Handbook.pdf |
| 111 | + |
| 112 | +[^2]: M1_VOL2_CALCULUS.pdf |
| 113 | + |
| 114 | +[^3]: M1_VOL3_GRAPHTHEORY.pdf |
| 115 | + |
| 116 | +[^4]: M1_VOL1_SETS-FUNCTIONS.pdf |
| 117 | + |
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