MITE COMEDK UGET ST Cutoff 2023 (Opening & Closing Rank, Branch Wise)
The cutoff for MITE through COMEDK UGET 2023 includes branch-wise opening and closing ranks required for admission into Bachelor of Engineering programs.
The MITE COMEDK UGET ST Cutoff 2023 is the minimum rank required for admission, released through the official counselling process. The B.E. in Computer Science and Engineering (Artificial Intelligence and Machine Learning) closing rank is 41,982 (ST category), making it the most competitive branch. Cutoffs are published as Opening Rank and Closing Rank across 1 rounds.
MITE COMEDK UGET Cutoff 2023 (Opening & Closing Rank, Branch Wise)
The cutoff for MITE through COMEDK UGET 2023 includes branch-wise opening and closing ranks required for admission into Bachelor of Engineering programs.
These cutoffs are released through the official counselling authority and represent the minimum rank required for each branch, category, and counselling round.
Cutoff Format
- Opening Rank: 41,982
- Closing Rank: 42,422
Key Highlights
- Covers branch-wise cutoff for 2023.
- Includes Opening and Closing Rank.
- Based on the official counselling authority counselling rounds.
- Helps analyze competition and admission trends.
MITE COMEDK UGET 2023 Cutoff (Highlights)
The cutoff reflects the minimum ranks required for admission across branches and categories at MITE.
Key Highlights
- Cutoff Released By: the official counselling authority
- B.E. in Computer Science and Engineering (Artificial Intelligence and Machine Learning) Closing Rank (ST): 41,982
- Total Counselling Rounds: 1
- Toughest Branch: B.E. in Computer Science and Engineering (Artificial Intelligence and Machine Learning)
- Cutoff Format: Opening Rank and Closing Rank
MITE COMEDK UGET 2023 Cutoff (Combined Course Table)
| Course | ST |
|---|---|
| B.E. in Computer Science and Engineering (Artificial Intelligence and Machine Learning) | 41,982 |
| B.E. in Computer Science and Engineering | 42,422 |
MITE COMEDK UGET 2023 Cutoff (Course-wise)
Category-wise opening and closing Rank for top courses are shown below.
B.E. in Computer Science and Engineering (Artificial Intelligence and Machine Learning)
| Category | Opening Rank | Closing Rank |
|---|---|---|
| ST | 41,982 | 41,982 |
B.E. in Computer Science and Engineering
| Category | Opening Rank | Closing Rank |
|---|---|---|
| ST | 42,422 | 42,422 |
Insight: Final round cutoff is the actual admission benchmark.
MITE COMEDK UGET 2023 Category-wise Cutoff (Detailed Table)
The table below shows category-wise variation in closing ranks across branches.
| Branch | ST |
|---|---|
| B.E. in Computer Science and Engineering (Artificial Intelligence and Machine Learning) | 41,982 |
| B.E. in Computer Science and Engineering | 42,422 |
MITE Cutoff Trends (2023 vs 2022 vs 2021)
The table below shows year-wise cutoff trends for MITE.
| Course | 2023 | 2022 | 2021 |
|---|---|---|---|
| B.E. in Computer Science and Engineering (Artificial Intelligence and Machine Learning) | 41,982 | 55,099 | - |
| B.E. in Computer Science and Engineering | 42,422 | 49,291 | 39,941 |
Insight: This trend table compares closing rank across the latest three years.
What Rank is Required for MITE?
| Rank Range | Admission Chances |
|---|---|
| Above 4000 | B.E. in Computer Science and Engineering (Artificial Intelligence and Machine Learning), B.E. in Computer Science and Engineering |
Courses Offered by MITE via COMEDK UGET
| Course | Duration | Type | Mode | Level |
|---|---|---|---|---|
| B.E. in Computer Science and Engineering | 4 Years | Degree | Full Time | UG |
| B.E. in Computer Science and Engineering (Artificial Intelligence and Machine Learning) | 4 Years | Degree | Full Time | UG |
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MITE COMEDK UGET 2023 ST Cutoff - FAQs
1. What is MITE cutoff for B.E. in Computer Science and Engineering (Artificial Intelligence and Machine Learning) 2023?
The closing rank for B.E. in Computer Science and Engineering (Artificial Intelligence and Machine Learning) in COMEDK UGET 2023 is 41,982 (ST category).
2. What rank is required for MITE?
For top options at MITE, candidates usually target under 100 rank for B.E. in Computer Science and Engineering (Artificial Intelligence and Machine Learning), around 500 for B.E. in Computer Science and Engineering, and up to 2000 for Bachelor of Engineering. The exact requirement can shift slightly by round and category.
3. Is this score/rank enough for MITE?
Yes. A rank under 500 generally gives strong chances for B.E. in Computer Science and Engineering and similar top branches.
4. Which branch has the lowest cutoff at MITE?
B.E. in Computer Science and Engineering (Artificial Intelligence and Machine Learning) has the lowest (most competitive) cutoff, typically followed by B.E. in Computer Science and Engineering.
5. How many counselling rounds were there in 2023?
the official counselling authority conducted 1 rounds in 2023.
6. What is Opening Rank and Closing Rank?
Opening Rank is the first admitted value at the start of a counselling round, while Closing Rank is the last admitted value at the end of that round. Closing value is usually treated as the practical admission benchmark.
7. Does MITE cutoff change every year?
Yes, cutoff changes every year because competition levels are not constant. It usually depends on exam difficulty, number of applicants, and seat availability in that admission cycle.
8. Can I get MITE with a mid-range score/rank?
Yes. Candidates around 1000 rank can often get B.E. in Computer Science and Engineering and similar branch options.
9. What factors affect MITE cutoff?
The cutoff is mainly influenced by COMEDK UGET difficulty, the total number of applicants, and the seat matrix published by the official counselling authority. Any change in these factors can move the opening and closing values across rounds.
10. Are category-wise cutoffs different?
Yes, category-wise cutoffs are different because seats are allocated separately by category. General, OBC-NCL, SC/ST, and EWS usually have different opening and closing values for the same branch.