DIRECT SECOND YEAR ENGINEERING ADMISSION 2022-23
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Vacancy position for DSE after CAP III
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CAP Registration Portal – https://dse2022.mahacet.org.in/dse22/
Eligibility conditions and requirements for admissions to Direct Second Year of Bachelor of Engineering (B.E.) course (as per previous year guidelines)
For Maharashtra State Candidature Candidate and All India Candidature Candidate, –
(i) The Candidate should be an Indian National;
(ii) Passed Diploma Course in Engineering and Technology with at least 45% Marks (40% marks in case of candidates of backward class categories, Economically Weaker Section and Persons with Disability belonging to Maharashtra State only) in appropriate branch of Engineering and Technology from an All India Council for Technical Education or Central or State Government approved Institution or its equivalent;
OR
(ii) Passed B.Sc. Degree from a University Grants Commission (UGC) or Association of Indian Universities recognized University with at least 45% marks (40% in case of candidates of Backward class categories, Economically Weaker Section and Persons with Disability belonging to Maharashtra State only) and passed HSC with Mathematics as a subject. Provided that students belonging to this category shall clear the subjects of Engineering Graphics/ Engineering Drawing and Engineering Mechanics of the first year Engineering Program along with second year subjects.
OR
(ii) Passed D.Voc. Stream in the same or allied sector.
(iii) In the above cases, a suitable bridge Courses, if required such as in Mathematics may be conducted.
(iv) Any other criterion declared from time to time by the appropriate authority as defined under the Act.
For AY 2022-23
Branch | Sanction Intake at First Year | Seat for Lateral Entry at Direct Second Year | Branch Code |
Electrical Engineering | 60 | 6 | 320029310 |
Mechanical Engineering | 90 | 9 | 320061210 |
Information Technology | 60 | 6 | 320024610 |
Chemical Engineering | 30 | 3 | 320050710 |
Electronics & Telecommunication Engineering | 60 | 6 | 320037210 |
Computer Science and Engineering (Artificial Intelligence and Machine Learning) | 60 | 6 | 320024110 |