University of Mumbai — Faculty of Engineering and Technology
| Exam Date | 01 May 2026 |
|---|---|
| Result Date | 21 Aug 2026 |
| Qualification | Bachelor of Engineering (AI & DS) |
|---|
The University of Mumbai (MU) has officially declared the results for the Bachelor of Engineering (Artificial Intelligence and Data Science), Semester III, supplementary examinations. These examinations were conducted under the New Education Policy (NEP 2020) framework in May 2026. Students who appeared for these papers can now access their marks through the official university results portal.
Candidates must follow these steps to download the official result register:
Under the NEP 2020 guidelines, the university evaluates students based on a credit-point system. The grades and points are as follows:
| Marks Percentage | Grade | Grade Point |
|---|---|---|
| 90% and above | O | 10 |
| 80% to below 90% | A+ | 9 |
| 70% to below 80% | A | 8 |
| 60% to below 70% | B+ | 7 |
| 55% to below 60% | B | 6 |
| 50% to below 55% | C | 5 |
| 40% to below 50% | D | 4 |
| Below 40% | F | 0 |
The Semester Grade Performance Index (SGPI) is determined by the total credit points earned divided by the sum of total credits allocated for the semester.
Securing a government position under University of Mumbai requires a disciplined and strategic approach. Candidates with Bachelor of Engineering (AI & DS) qualifications should focus on the following:
To avoid fraud and secure your candidature, always complete the following checks before submitting your application:
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The educational qualification required for this recruitment is: Bachelor of Engineering (AI & DS). Please always refer to the official notification PDF linked in the "Source/Official Links" section above for the most accurate and complete eligibility criteria, including age limits, experience requirements, and category-specific relaxations.
Sneha Patel is a certified career strategist specializing in government competitive examinations. With her background in Economics and Data Analysis, she provides data-driven insights on exam patterns, cut-off trends, and preparation strategies.
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