CIT COMEDK UGET Cutoff 2022 (Opening & Closing Rank, Branch Wise)
The cutoff for CIT through COMEDK UGET 2022 includes branch-wise opening and closing ranks required for admission into Bachelor of Technology programs.
The CIT COMEDK UGET Cutoff 2022 is the minimum rank required for admission, released through the official counselling process. The B.Tech in Artificial Intelligence and Machine Learning closing rank is 35,814 (General category), making it the most competitive branch. Cutoffs are published as Opening Rank and Closing Rank across 3 rounds.
CIT COMEDK UGET Cutoff 2022 (Opening & Closing Rank, Branch Wise)
The cutoff for CIT through COMEDK UGET 2022 includes branch-wise opening and closing ranks required for admission into Bachelor of Technology 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: 35,814
- Closing Rank: 56,542
Key Highlights
- Covers branch-wise cutoff for 2022.
- Includes Opening and Closing Rank.
- Based on the official counselling authority counselling rounds.
- Helps analyze competition and admission trends.
CIT COMEDK UGET 2022 Cutoff (Highlights)
The cutoff reflects the minimum ranks required for admission across branches and categories at CIT.
Key Highlights
- Cutoff Released By: the official counselling authority
- B.Tech in Artificial Intelligence and Machine Learning Closing Rank (General): 35,814
- Total Counselling Rounds: 3
- Toughest Branch: B.Tech in Artificial Intelligence and Machine Learning
- Cutoff Format: Opening Rank and Closing Rank
CIT COMEDK UGET 2022 Cutoff (Combined Course Table)
| Course | General | SC | ST | OBC | EWS | GeneralPwD |
|---|---|---|---|---|---|---|
| B.Tech in Artificial Intelligence and Machine Learning | 35,814 | 35,814 | 35,814 | 35,814 | 35,814 | 35,814 |
| B.Tech in Artificial Intelligence and Data Science | 48,069 | 48,069 | 48,069 | 48,069 | 48,069 | 48,069 |
| B.E. in Computer Science and Engineering | 56,542 | 56,542 | 56,542 | 56,542 | 56,542 | 56,542 |
CIT COMEDK UGET 2022 Cutoff (Course-wise)
Category-wise opening and closing Rank for top courses are shown below.
B.Tech in Artificial Intelligence and Machine Learning
| Category | Opening Rank | Closing Rank |
|---|---|---|
| General | 35,814 | 35,814 |
| SC | 35,814 | 35,814 |
| ST | 35,814 | 35,814 |
| OBC | 35,814 | 35,814 |
| EWS | 35,814 | 35,814 |
| GeneralPwD | 35,814 | 35,814 |
B.Tech in Artificial Intelligence and Data Science
| Category | Opening Rank | Closing Rank |
|---|---|---|
| General | 48,069 | 48,069 |
| SC | 48,069 | 48,069 |
| ST | 48,069 | 48,069 |
| OBC | 48,069 | 48,069 |
| EWS | 48,069 | 48,069 |
| GeneralPwD | 48,069 | 48,069 |
B.E. in Computer Science and Engineering
| Category | Opening Rank | Closing Rank |
|---|---|---|
| General | 56,542 | 56,542 |
| SC | 56,542 | 56,542 |
| ST | 56,542 | 56,542 |
| OBC | 56,542 | 56,542 |
| EWS | 56,542 | 56,542 |
| GeneralPwD | 56,542 | 56,542 |
Insight: Final round cutoff is the actual admission benchmark.
CIT COMEDK UGET 2022 Category-wise Cutoff (Detailed Table)
The table below shows category-wise variation in closing ranks across branches.
| Branch | General | SC | ST | OBC | EWS | GeneralPwD |
|---|---|---|---|---|---|---|
| B.Tech in Artificial Intelligence and Machine Learning | 35,814 | 35,814 | 35,814 | 35,814 | 35,814 | 35,814 |
| B.Tech in Artificial Intelligence and Data Science | 48,069 | 48,069 | 48,069 | 48,069 | 48,069 | 48,069 |
| B.E. in Computer Science and Engineering | 56,542 | 56,542 | 56,542 | 56,542 | 56,542 | 56,542 |
CIT Cutoff Trends (2022 vs 2021 vs 2020)
The table below shows year-wise cutoff trends for CIT.
| Course | 2022 | 2021 | 2020 |
|---|---|---|---|
| B.Tech in Artificial Intelligence and Machine Learning | 35,814 | 27,275 | - |
| B.Tech in Artificial Intelligence and Data Science | 48,069 | - | - |
| B.E. in Computer Science and Engineering | 56,542 | 19,573 | - |
Insight: This trend table compares closing rank across the latest three years.
What Rank is Required for CIT?
| Rank Range | Admission Chances |
|---|---|
| Above 4000 | B.Tech in Artificial Intelligence and Machine Learning, B.Tech in Artificial Intelligence and Data Science, B.E. in Computer Science and Engineering |
Courses Offered by CIT via COMEDK UGET
| Course | Duration | Type | Mode | Level |
|---|---|---|---|---|
| B.E. in Computer Science and Engineering | 4 Years | Degree | Full Time | UG |
| B.Tech in Artificial Intelligence and Data Science | 4 Years | Degree | Full Time | UG |
| B.Tech in Artificial Intelligence and Machine Learning | 4 Years | Degree | Full Time | UG |
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CIT COMEDK UGET 2022 Cutoff - FAQs
1. What is CIT cutoff for B.Tech in Artificial Intelligence and Machine Learning 2022?
The closing rank for B.Tech in Artificial Intelligence and Machine Learning in COMEDK UGET 2022 is 35,814 (General category).
2. What rank is required for CIT?
For top options at CIT, candidates usually target under 100 rank for B.Tech in Artificial Intelligence and Machine Learning, around 500 for B.Tech in Artificial Intelligence and Data Science, and up to 2000 for Bachelor of Technology. The exact requirement can shift slightly by round and category.
3. Is this score/rank enough for CIT?
Yes. A rank under 500 generally gives strong chances for B.Tech in Artificial Intelligence and Data Science and similar top branches.
4. Which branch has the lowest cutoff at CIT?
B.Tech in Artificial Intelligence and Machine Learning has the lowest (most competitive) cutoff, typically followed by B.Tech in Artificial Intelligence and Data Science.
5. How many counselling rounds were there in 2022?
the official counselling authority conducted 3 rounds in 2022.
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 CIT 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 CIT 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 CIT 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.