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Ajay Kumar Garg Engineering College Cutoff 2025- Previous Years Cutoff

Ghaziabad, Uttar Pradesh
 
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Ajay Kumar Garg Engineering College Cutoff

AKGEC Cutoff 2025

The admission process for Ajay Kumar Garg Engineering College involves various cut-off criteria. It admits students through various entrance exams. For students seeking admission through JEE Main, the cut-off rank for 2025 is outlined for various courses. The cut-off ranks are available for different courses like CSE, mechanical engineering, and ECE with specific ranges.

Moreover, AKGEC also accepts admission via UPTAC Counselling. For candidates planning to apply to the college, review the JEE Main and UPTAC cut-off. Along with the previous year's cut-off trends will give them an idea about the minimum rank required for different categories. By analyzing the data, students will have detailed knowledge of admission criteria in the current academic year.

Ajay Kumar Garg Engineering College  JEE Main Cut-off 2025

AKGEC Ghaziabad JEE Main cut-off for admissions. The AKGEC Ghaziabad cut-off JEE Main for CSE will range between 104589 and 104594. Check the table below for cut-off requirements for various BTech courses.

Courses

JEE Main Cut-off Rank

Mechanical Engineering

559,254 - 559,259

Civil Engineering

567,884 - 567,889

Electrical and Electronics Engineering

381,723 - 381,728

Computer Science and Information Technology

181,501 - 181,506

Computer Science

168,931 - 168,936

Computer Science and Engineering (Artificial Intelligence and Machine Learning)

120,418 - 120,423

Artificial Intelligence and Machine Learning

184,767 - 184,772

Electronics and Communication Engineering

244,669 - 244,674

Information Technology

177,721 - 177,726

Computer Science and Engineering

104,589 - 104,594

Computer Science and Engineering (Data Science)

154,727 - 154,732

Ajay Kumar Garg Engineering College JEE Main Cut-off 2024

Candidates can check the round 1 and last round JEE Main cut-off ranks for admission to Ajay Kumar Garg Engineering College. The table below provides details of AKGEC cut-off JEE mains for general categories students.

Courses

Cut-off (Round 1)

Cut-off (Last Round)

Computer Science and Engineering

87,578

104,584

Artificial Intelligence and Machine Learning

122,329

120,413

Data Science

124,068

154,722

Computer Science

128,493

168,926

Computer Science and Information Technology

134,619

181,496

Information Technology

135,119

177,716

Electronics & Communication Engineering

184,969

244,664

Electrical and Electronics Engineering

222,484

381,718

Civil Engineering

321,656

567,879

Mechanical Engineering

359,686

559,249

AKGEC JEE Main BTech Previous Year's Cut-off

Students aspiring for admission to AKGEC should thoroughly check out the JEE Main cut-off ranks of past years. Reviewing the cut-off trends for various courses will help them understand the minimum rank required for admission. The insights in the following table will help students to know about the general category cut-off and AKGEC Ghaziabad cut-off JEE Mains OBC is lower.

Courses

2023

2022

Electrical and Electronics Engineering

614,018

300,282

Computer Science and Engineering

96,796

66,078

Computer Science and Engineering (Data Science)

146,178

-

Mechanical Engineering

566,800

680,926

Computer Science and Information Technology

174,630

109,872

Artificial Intelligence and Machine Learning

173,027

-

Information Technology

155,110

116,035

Computer Science

140,079

97,394

Electronics and Communication Engineering

313,898

180,379

Civil Engineering

688,311

727,883

Computer Science and Engineering (Artificial Intelligence and Machine Learning)

121,416

123,957

Ajay Kumar Garg Engineering College UPTAC Cut-off 2025

AKGEC accepts Uttar Pradesh Technical Admission Counselling for admission to the BTech program. The table below highlights the UPTAC 2025 cut-off ranks for various courses.

Course

UPTAC Cut-off Rank

Mechanical Engineering

1,317,930 - 1,317,935

Electrical and Electronics Engineering

1,174,113 - 1,174,118

Computer Science and Engineering (Artificial Intelligence and Machine Learning)

147,281 - 147,286

Information Technology

217,239 - 217,244

Computer Science and Information Technology

221,196 - 221,201

Artificial Intelligence and Machine Learning

226,263 - 226,268

Civil Engineering

1,003,071 - 1,003,076

Computer Science

200,898 - 200,903

Electronics and Communication Engineering

362,884 - 362,889

Electrical and Electronics Engineering

1,174,113 - 1,174,118

Computer Science and Engineering (Data Science)

184,115 - 184,120

 

AKGEC UPTAC BTech Cut-off 2024

The AKGEC UPTAC BTech cut-off 2024 is provided in the table below. It includes category-specific cut-off ranges for various courses.

Course

General Cut-off

OBC Cut-off

SC Cut-off

ST Cut-off

Computer Science and Engineering (Artificial Intelligence and Machine Learning)

147,276

177,538

531,236

-

Electrical and Electronics Engineering

1,174,108

835,818

916,368

-

Information Technology

217,234

261,603

1,260,949

-

Civil Engineering

1,003,066

836,460

-

-

Computer Science and Engineering (Data Science)

184,110

204,530

837,335

891026

Mechanical Engineering

1,317,925

1,317,925

1,232,967

-

Computer Science

200,893

236,230

1,236,108

1130644

Electronics and Communication Engineering

362,879

494,828

1,314,425

573653

Artificial Intelligence and Machine Learning

226,258

275,480

531,236

765687

Computer Science and Information Technology

221,191

250,679

1,292,375

-

Electrical and Electronics Engineering

1,174,108

835,818

916,368

-

Ajay Kumar Garg Engineering College Previous Year's Cut-off: UPTAC

The previous year's cut-off insights for Ajay Kumar Garg Engineering College allows candidates to analyze and understand the cut-off trends. Familiarity with these trends can be beneficial for students. It helps them to predict changes in the cut-off over the years. Candidates can check the table below for year-wise cut-off trends for the BTech program.

Course

2023

2022

Computer Science and Engineering (Artificial Intelligence and Machine Learning)

134,399

114,099

Computer Science and Information Technology

221,075

154,818

Artificial Intelligence and Machine Learning

243,787

205,509

Mechanical Engineering

863,210

635,789

Civil Engineering

611,931

855,835

Information Technology

210,812

172,182

Computer Science

182,387

132,663

Electrical and Electronics Engineering

1,099,873

738,132

Electronics and Communication Engineering

507,023

554,335

Computer Science and Engineering (Data Science)

161,520

-

Mechanical Engineering

863,210

635,789

Placement Companies

  • Infosys Technologies
  • Wipro
  • Syntel
  • Mahindra and Mahindra
  • DELL
  • Accenture
  • HCL
  • Larsen and Toubro
  • NIIT
  • Bosch

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Contact Information

Contact Numbers:

0120 - 2762841

Email ID:

akrecor@akgec.org

Address:

27 Km Stone, Delhi-Hapur Bypass Road , P.O. Adhyatmik Nagar, Ghaziabad, Uttar Pradesh, India

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