Events | Dates |
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Online Application Timeline (NRI Candidates) [B.Tech] | Ongoing Jul 16, 2024 - Jul 22, 2024 |
Documents Verification, Allotment of Institution/Branch (NRI Candidates) [B.Tech] | Upcoming Jul 23, 2024 |
Application Timeline (BE/B.Tech) [MP Counselling] | Ongoing Jun 15, 2024 - Jul 23, 2024 |
Phase 1 - Online Registration (MP DTE Counselling) [BE/B.Tech] | Ongoing Jun 13, 2024 - Jul 25, 2024 |
Online Reporting and Admission at Allotted Institute (NRI Candidates) [B.Tech] | Upcoming Jul 24, 2024 - Jul 26, 2024 |
Phase 1 - Edit Registration (MP DTE Counselling) [BE/B.Tech] | Upcoming Jul 26, 2024 - Jul 27, 2024 |
Phase 1 - Choicefilling (MP DTE Counselling) [BE/B.Tech] | Ongoing Jul 05, 2024 - Jul 29, 2024 |
Phase 1 - Publication of Common Merit List (MP DTE Counselling) [BE/B.Tech] | Upcoming Jul 30, 2024 |
Phase 1 - Seat Upgradation (MP DTE Counselling) [BE/B.Tech] | Aug 05, 2024 - Aug 10, 2024 |
Phase 1 - Seat Allotment (MP DTE Counselling) [BE/B.Tech] | Aug 05, 2024 - Aug 10, 2024 |
Events | Dates |
---|---|
Online Application Timeline (NRI Candidates) [B.Tech] | Ongoing Jul 16, 2024 - Jul 22, 2024 |
Application Timeline (BE/B.Tech) [MP Counselling] | Ongoing Jun 15, 2024 - Jul 23, 2024 |
Documents Verification, Allotment of Institution/Branch (NRI Candidates) [B.Tech] | Upcoming Jul 23, 2024 |
Phase 1 - Online Registration (MP DTE Counselling) [BE/B.Tech] | Ongoing Jun 13, 2024 - Jul 25, 2024 |
Online Reporting and Admission at Allotted Institute (NRI Candidates) [B.Tech] | Upcoming Jul 24, 2024 - Jul 26, 2024 |
Phase 1 - Edit Registration (MP DTE Counselling) [BE/B.Tech] | Upcoming Jul 26, 2024 - Jul 27, 2024 |
Phase 1 - Choicefilling (MP DTE Counselling) [BE/B.Tech] | Ongoing Jul 05, 2024 - Jul 29, 2024 |
Phase 1 - Publication of Common Merit List (MP DTE Counselling) [BE/B.Tech] | Upcoming Jul 30, 2024 |
Phase 1 - Seat Allotment (MP DTE Counselling) [BE/B.Tech] | Aug 05, 2024 - Aug 10, 2024 |
Phase 1 - Seat Upgradation (MP DTE Counselling) [BE/B.Tech] | Aug 05, 2024 - Aug 10, 2024 |
Events | Dates |
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JEE Main 2025 Registration (Session - 1) | Tentative Nov 01, 2024 - Dec 04, 2024 |
JEE Main 2025 Admit Card (Session - 1) | Tentative Jan 17, 2025 |
JEE Main 2025 Exam Date (Session - 1) | Tentative Jan 24, 2025 - Jan 31, 2025 |
JEE Main 2025 Result (Session - 1) | Tentative Feb 13, 2025 |
JEE-Main counselling | Tentative Jun 10, 2025 - Jun 18, 2025 |
The 2024 MP Counselling round 1 cutoff rank for the Bachelor of Technology [B.Tech] (Artificial Intelligence & Data Science) at MITS was 111909 for the General category.
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The 2024 JEE Main round 1 cutoff rank for the Bachelor of Technology [B.Tech] (Artificial Intelligence & Data Science) at MITS was 111909 for the General category.
Courses |
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Compare |
Aspirants seeking admission to 4 year Full-time B.Tech should meet the following criteria as specified by the institute.
Academic Requirement:
Chemistry/Biotechnology/Biology/Technical subject as the third subject. The candidate must have a combined aggregate minimum of 45% marks in these subjects.
Candidate must have passed the 12th examination of 10+2 system from a recognized board with Physics & Mathematics as main subjects along with either.
Admission based on JEE Main Score
MITS | |
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Reviews Rating | |
Cost To Study | - |
Ranking | # Ranked 251-300/300 by NIRF Engineering Ranks |
Highest Salary | ₹1100000 |
Average Salary | - |
General Course Details | Duration - 4 Years Course Offered - Full Time Mode - Full Time Degree Type - On Campus Course Level - Graduation Course Credential - Degree |
Eligibility | 10+2 with 75% + JEE Main |
Search from 20K+ Courses and 35+ Streams
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As in every college,in first year there's is rubbish subjects like engineering physics, engineering chemistry and Basic Electrical and Electronics engineering which has NO significance for cse branch.So unfortunately here also it applies
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Course curriculum is quite good, AI is future oriented branch that's why I opted this, faculty to students ratio is vary bad as per University standards, mostly teachers in AI are PhD holders, exams and quizes happen quite often
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I choose this course because I am interested in learning Data science, and wanted to be a good engineer. This college helps me learn the subjects and syllabus easily and I have plenty of time to develop some personal skills.
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Dislikes
I chose this course after seeing the demand for AI in the current scenario. My class strength is 77 students and we have different faculties appointed for all 6 subjects and all are extremely qualified. The teaching method includes ppt, soft copy notes, and also regular lab classes to implement the theory in the practical world. 2 mid sem exams are conducted along with a 3rd one if someone fails to give the first 2 mid sem exams and then there are practical and proficiency exams which leads to our end sem examination. Usually, it's easy to pass exams if you attend the class regularly and attend the doubt sessions arranged by the teachers.
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