Rankings

The B.Tech. Program is a four year, eight-semester, fulltime, campus-based program. The Program provides cutting edge education to equip students with comprehensive and critical understanding in various branches of engineering. Students who have passed 3 year Diploma in Engineering are eligible for Lateral Entry (to join 3rd semester of the program).

Admission Process

Admission is based on Merit and Personal Interview.

Award of Degree

Students who successfully complete the program will be awarded B.Tech. degree in respective discipline from The ICFAI University, Dehradun, subject to University regulations.

Admission Calendar
Last Date for Submission of Completed Application Form 15 July 2025
Selection Process 15 April 2025 - 15, July 2025
Payment Fee payment on or before 21 July 2025
Registration 31 July 2025
Commencement of Classes 01 August 2025

The following branches of B.Tech. Program with specialization options are offered

Computer Science & Engineering with specialization in

  • Machine Learning
  • Cyber Security
  • Networks
  • Advanced Computing
  • Database

Year I

Semester- I

Semester- II

  • Mathematics-I
  • English Language Skills
  • Introduction to Electrical and Electronics Sciences
  • Chemistry
  • Introduction to DS and AI
  • Computer Programming
  • Mathematics-II
  • Physics
  • Environment Sciences & SDGs
  • Digital Signal Processing
  • Professional Communication
  • Digital Fabrication
  • Data Structures

Year II

Semester- III

Semester- IV

  • Introduction to IoT
  • Object Oriented Programming Concepts
  • Mathematics-III
  • Discrete Structure for Computer Science
  • Design and Analysis of Algorithm
  • Database Management Systems
  • Principles of Managerial Economics
  • MOOCS
  • CRT I
  • Computer Organization and Architecture
  • Artificial Intelligence
  • Web Enabled Technologies (Web 3.0)
  • Industry Coding practice (Python & R)
  • Speech Processing
  • Data Science
  • Theory of Computation
  • CRT II

Internship Program I (8 Weeks)/Major Project/Certification Course

Year III

Semester- V

Semester- VI

  • Principal of Cryptography
  • Operating Systems
  • Programming Language & Compiler Construction
  • Machine Learning
  • Software Engineering
  • Open Elective-I
  • CRT III
  • Open Elective-II
  • Computer Networks
  • Big Data Systems
  • Cloud Computing
  • Intelligent Transport Systems
  • Computer Vision
  • Special Project/Capstone Project
  • CRT IV

Year IV

Semester- VII

Semester- VIII

  • Internship Program II / Thesis Seminar &

OR

  • Electives (4)
  • Discipline Elective (1)
  • Humanity Elective(1) (Digital Humanities)
  • Electives (4)
  • Discipline Elective (1)
  • Humanities Elective (1)

OR

  • Internship Program II / Thesis & Seminar

The Program structure is subject to change (if required).

Electives

Open Electives (V and VI Semesters)

Open Elective I (V Semester)

Open Elective II (VI Semester)

  • Advanced Java
  • Advanced Computer Architecture
  • Parallel Computing
  • Blockchain Technology
  • Introduction to Power BI
  • Social Network Analysis
  • Real Time Systems
  • Human Computer Interface
  • Combinatorial Optimization

Humanities Electives (VII/VIII Semesters)

  • Dynamics of Social Change
  • Introduction to Psychology
  • Heritage of India
  • Modern Political Science
  • Public Administration
  • Professional Ethics

Digital Humanities Electives I (VII/VIII Semester)

  • Social Innovation

Discipline Electives (VII/VIII Semesters)

Machine Learning

Cyber Security

  • Deep Learning
  • Natural Language Processing
  • Information retrieval
  • Pattern Recognition
  • Ethical Hacking
  • Information Security
  • IoT Security
  • Cyber Security

Networks

Advanced Computing

  • Wireless Networks
  • Network Administration
  • Network Security
  • AI in Wireless Communications
  • High Performance Computing
  • Advanced Computer Architecture
  • Multicore Architecture
  • Parallel Computing

Database

  • Database Administration
  • SQL & DB Applications
  • Database Security & Privacy
  • Data Wrangling

Artificial Intelligence & Machine Learning with Specialization in

  • AI in Healthcare
  • Computer Vision
  • Internet of Things
  • Cyber Security

Year I

Semester- I

Semester- II

  • Mathematics-I
  • English Language Skills
  • Introduction to Electrical and Electronics Sciences
  • Chemistry
  • Introduction to DS and AI
  • Computer Programming
  • Mathematics-II
  • Physics
  • Environment Sciences & SDGs
  • Digital Signal Processing
  • Professional Communication
  • Digital Fabrication
  • Data Structures

Year II

Semester- III

Semester- IV

  • Introduction to IoT
  • Object Oriented Programming
  • Mathematics-III
  • Discrete Structure for Computer Science
  • Design and Analysis of Algorithms
  • Introduction to Data Analytics
  • Principles of Managerial Economics
  • CRT I
  • Database Management Systems
  • Computer Organization and Architecture
  • Artificial Intelligence
  • Web Enabled Technologies
  • (Web 3.0)
  • Industry Coding practice
  • (Python & R)
  • Operating Systems
  • Formal Language and Automata Theory
  • CRT II

Internship Program I (8 Weeks)/Major Project/Certification Course

Year III

Semester- V

Semester- VI

  • Machine Learning
  • Foundation of Computer Vision
  • Big Data Analytics
  • Artificial Neural Networks
  • Software Engineering
  • Open Elective
  • CRT III
  • Deep Learning
  • Cloud Computing
  • Soft Computing Paradigms
  • Robotics and Intelligent Systems
  • Discipline Elective I
  • Discipline Elective II
  • Special Project/Capstone Project
  • CRT IV

Year IV

Semester- VII

Semester- VIII

  • Internship Program II /
  • Thesis & Seminar /
  • Electives (4) + Professional/Discipline
  • Humanities Elective (1)
  • Internship Program II /
  • Thesis & Seminar /
  • Electives (4) + Professional/Discipline
  • Humanities Elective (1)

The Program structure is tentative, subject to change (if required).

Electives

Discipline/Profession Electives

  • Reinforcement Learning
  • Cognitive Systems
  • Machine Learning with Text using Python
  • Pattern Anomaly and Detection
  • Logical AI And Automated Reasoning
  • Social Network Analysis

Humanities Electives

  • Social Innovation
  • Dynamics of Social Change
  • Introduction to Psychology
  • Heritage of India
  • Modern Political Science
  • Public Administration
  • Professional Ethics

Specialization Electives (VII/VIII Semester)

AI in Healthcare

Computer Vision

  • AI for Medical Image Analysis
  • Bio-Informatics
  • Healthcare Informatics
  • Applications of AI in Medicine
  • Deep Learning in Computer Vision
  • Autonomous Systems
  • Computer Vision for Assistive Technologies
  • Augmented Reality

Internet of Things

Applied Natural Language Processing

  • IoT in Agriculture
  • IoT for Healthcare
  • IoT for Smart City
  • IoT for Home Appliance
  • Natural Language Processing (NLP)
  • Speech Processing
  • Machine Translation
  • Deep Learning for Natural Language Processing

Cyber Security

  • Principles of Cryptography
  • Information Security
  • Blockchain Technology
  • AI in Cyber Security

Data Science and Artificial Intelligence with specialization in

  • Data Science
  • Artificial Intelligence
  • Cloud Computing
  • Blockchain
  • Internet of Things

Year I

Semester- I

Semester- II

  • Mathematics-I
  • English Language Skills
  • Introduction to Electrical and Electronics Sciences
  • Chemistry
  • Introduction to DS and AI
  • Computer Programming
  • Mathematics-II
  • Physics
  • Environment Sciences & SDGs
  • Digital Signal Processing
  • Professional Communication
  • Digital Fabrication
  • Data Structures

Year II

Semester- III

Semester- IV

  • Introduction to IOT
  • Object Oriented Programming Concepts
  • Mathematics-III
  • Design and Analysis of Algorithms
  • Database Management Systems
  • Principles of Managerial Economics
  • Discrete Structure for Computer Science
  • MOOC
  • CRT I
  • Computer Organization and Architecture
  • Artificial Intelligence
  • Operating System
  • Data Science
  • Web enabled Technologies
  • Industry coding practice (Python and R)
  • Digital Humanities Eective1
  • CRT II

Internship Program I (8 Weeks)/Major Project/Certification Course

Year III

Semester- V

Semester- VI

  • Soft computing
  • Machine Learning
  • Blockchain Technology
  • Computer Networks
  • Data Wrangling and Visualization
  • Elective-I (Core)
  • CRT III
  • Speech Processing
  • Deep Learning
  • Big Data systems
  • Autonomous Vehicles
  • Elective-II (Core)
  • Special Project / TIP/Capstone Project
  • CRT IV

Year IV

Semester- VII

Semester- VIII

  • Internship Program II / Thesis & Seminar

OR

  • Electives (4)
  • Discipline Elective (1)
  • Humanities Elective (1)
  • Electives (4)
  • Discipline Elective (1)
  • Humanities Elective (1)

OR

  • Internship Program II / Thesis & Seminar

The Program structure is subject to change (if required).

Electives

Open Electives (V and VI Semesters)

Open Electives I (V Semester)

Open Electives II (VI Semester)

  • Cyber Security
  • Database Security and Privacy
  • Ethical Hacking
  • Recommendation Systems
  • Predictive Analytics
  • Natural Language processing

Humanities Electives (VII/VIII Semesters)

  • Dynamics of Social Change
  • Introduction to Psychology
  • Heritage of India
  • Modern Political Science
  • Public Administration
  • Professional Ethics

Digital Humanities Electives I (VII/VIII Semester)

  • Social Innovation

Specialization Electives (VII/VIII Semester)

Data Science

Artificial Intelligence

  • Deep Learning
  • Natural Language Processing
  • Information retrieval
  • Applied Time Series Analysis
  • Human Computer Interaction
  • Intelligent Control and Cognitive Systems
  • Pattern Recognition
  • Robotics

Cloud Computing

Blockchain

  • Distributed Cloud Computing
  • Security & Privacy in Cloud Computing
  • Cloud Administration
  • Real Time Data Analytics
  • Blockchain with IoT
  • Information Extraction and Retrieval
  • Image and Video Processing
  • Supply Chain Analytics

Internet of Things

  • Blockchain with IoT
  • Embedded Systems
  • AI & Humanities
  • Innovation & Entrepreneurship

Database Administration and Big Data with specialization in

  • Machine Learning
  • Cloud Computing
  • Soft Computing
  • Database

Year I

Semester- I

Semester- II

  • Mathematics-I
  • English Language Skills
  • Introduction to Electrical and Electronics Sciences
  • Chemistry
  • Introduction to DS and AI
  • Computer Programming
  • Mathematics-II
  • Physics
  • Environment Sciences & SDGs
  • Digital Signal Processing
  • Professional Communication
  • Digital Fabrication
  • Data Structures

Year II

Semester- III

Semester- IV

  • Introduction to IoT
  • Object Oriented Programming Concepts
  • Mathematics-III
  • Discrete Structure for Computer Science
  • Design and Analysis of Algorithm
  • Theory of Computation
  • Principles of Managerial Economics
  • MOOCS
  • CRT I
  • Open Source Software's
  • Computer Organization and Architecture
  • Artificial Intelligence
  • Web Enabled Technologies (Web 3.0)
  • Industry Coding practice (Python & R)
  • Speech Processing
  • Data Science
  • CRT II

Internship Program I (8 Weeks)/Major Project/Certification Course

Year III

Semester- V

Semester- VI

  • Database Management Systems
  • Operating Systems
  • Introduction to SQL / PL SQL
  • Machine Learning
  • Software Engineering
  • Open Elective-I
  • CRT III
  • Open Elective- II
  • Computer Networks
  • Big Data Systems
  • Cloud Computing
  • Data Warehousing and Mining
  • Pattern Recognition
  • Special Project/Capstone Project
  • CRT IV

Year IV

Semester- VII

Semester- VIII

  • Internship Program II / Thesis & Seminar

OR

  • Electives (4)
  • Discipline Elective (1)
  • Humanities Elective (1)
  • Electives (4)
  • Discipline Elective (1)
  • Humanities Elective (1)

OR

  • Internship Program II / Thesis & Seminar

The Program structure is subject to change (if required).

Electives

Open Electives (V and VI Semesters)

Open Electives I (V Semester)

Open Electives II (VI Semester)

  • Advanced Java
  • Advanced Computer Architecture
  • Parallel Computing
  • Blockchain Technology
  • Social Network Analysis
  • Real Time Systems
  • Human Computer Interface
  • Combinatorial Optimization

Humanities Electives (VII/VIII Semesters)

  • Dynamics of Social Change
  • Introduction to Psychology
  • Heritage of India
  • Modern Political Science
  • Public Administration
  • Professional Ethics
  • Social Innovation

Specialization Electives (VII/VIII Semesters)

Machine Learning

Cloud Computing

  • Deep Learning
  • Natural Language Processing
  • Information retrieval
  • Pattern Recognition
  • Cloud Administration
  • Distributed Cloud Computing
  • Security and Privacy in Cloud Computing
  • Big Data

Soft Computing

Database

  • Computer Vision
  • Artificial Intelligence
  • Human Computer Interaction
  • Soft Computing Techniques
  • Database Administration
  • SQL & DB Applications
  • Database Security & Privacy
  • Data Wrangling

Electronics and Communication Engineering with specialization in

  • Communication
  • Microwave
  • Very Large-scale Integration(VLSI)
  • Embedded
  • Design

Year I

Semester- I

Semester- II

  • Mathematics-I
  • English Language Skills
  • Introduction to Electrical and Electronics Sciences
  • Chemistry
  • Introduction to DS and AI
  • Computer Programming
  • Mathematics-II
  • Physics
  • Environment Sciences & SDGs
  • Digital Signal Processing
  • Professional Communication
  • Digital Fabrication
  • Data Structure

Year II

Semester- III

Semester- IV

  • Introduction to IoT
  • Object Oriented Programming Concepts
  • Mathematics-III
  • Circuit Theory
  • Control Systems
  • Principles of Managerial Economics
  • Electronic Devices
  • CRT I
  • Microprocessor Programming & Interfacing
  • Speech Processing
  • Web enabled Technology
  • Industry coding practice (Python and R)
  • Hardware modelling using Verilog
  • Analog Electronics
  • Digital Humanities Elective 1
  • CRT II

Internship Program I (8 Weeks)/Major Project/Certification Course

Year III

Semester- V

Semester- VI

  • Computer Organization and Architecture
  • Analog and Digital Communication (Core)
  • Digital VLSI Design (Core)
  • ML Based Signal Processing
  • Computer Networks
  • Electromagnetic Fields Waves (Core)
  • CRT III
  • ASIC Design
  • Embedded systems
  • Autonomous vehicles
  • RF & Microwave Engineering
  • CMOS Analog Integrated Circuit Design
  • Special Project / TIP/Capstone Project
  • CRT IV

Year IV

Semester- VII

Semester- VIII

  • Internship Program II / Thesis & Seminar

OR

  • Electives (4)
  • Discipline Elective (1)
  • Humanities Elective (1)
  • Electives (4)
  • Discipline Elective (1)
  • Humanities Elective (1)

OR

  • Internship Program II / Thesis & Seminar

The Program structure is subject to change (if required).

Electives

Specialization Electives (VII/VIII Semesters)

Communication

Microwave

  • Optical Communications
  • Wireless Communication Networks
  • Satellite Communications
  • Mobile Communication
  • Antenna and wave propagation
  • Radar Systems
  • RF & Microwave Communication circuits and systems
  • Smart Antennas for Mobile Communication

VLSI

Embedded

  • Low power VLSI Design
  • Digital Systems
  • CPLD & FPGA
  • IC Applications
  • Bio-Medical Electronics
  • DSP Processors and Architecture
  • Microcontrollers & Applications
  • Medical Image

Design

Humanities Electives

  • Computer Vision
  • Sensors & Actuators
  • Information Theory & Coding
  • Processing Mobile Adoc Networks
  • Dynamics of Social Change
  • Introduction to Psychology
  • Heritage of India
  • Modern Political Science
  • Public Administration
  • Professional Ethics
Digital Humanities Electives I (VII/VIII Semester)
  • Social Innovation

Mechatronics Engineering with specialization in

  • Robotics
  • Bio-Robotics
  • Medical Robotics
  • Manufacturing
Year I Semester-I Semester-II
  • Mathematics-I
  • English Language Skills
  • Introduction to Electrical and Electronics Sciences
  • Chemistry
  • Introduction to DS and AI
  • Computer Programming
  • Mathematics-II
  • Physics
  • Environment Sciences & SDGs
  • Digital Signal Processing
  • Professional Communication
  • Digital Fabrication
  • Data Structures
Year II Semester-III Semester-IV
  • Introduction to IOT
  • Object Oriented Programming Concepts
  • Mathematics-III
  • Elements of Mechatronics
  • Engineering Mechanics
  • Principles of Managerial Economics
  • Kinematics & Dynamics of Machinery
  • Strength of Materials
  • Thermal Engineering
  • FM and HM
  • Industry Coding Practice (Python and R)
  • Matlab based Numerical Methods
  • Design of Machine Elements
  • Engineering Graphics
Internship Program I (8 Weeks)/Major Project/Certification Course
Year III Semester-V Semester-VI
  • Control Systems
  • Sensors , Actuators and Drivers
  • Manufacturing Processes and Metrology
  • CAD/CAM
  • Micro Electro Mechanical Systems
  • Autotronics
  • Microprocessor and Micro controllers
  • Digital Humanities Elective1
  • Mechatronic System Design
  • Autonomous Vehicles
  • Intelligent Transport Systems
  • Robotics and Automation
  • Special Project /TIP/Capstone Project
Year IV Semester-VII Semester-VIII
  • Internship Program II / Thesis & Seminar

OR

  • Electives (4)
  • Discipline Elective (1)
  • Humanities Elective (1)
  • Electives (4)
  • Discipline Elective (1)
  • Humanities Elective (1)

OR

  • Internship Program II / Thesis & Seminar

The Program structure is subject to change (if required).

Electives

Specialization Electives (VII/VIII Semesters)

Robotics

Bio-Robotics

  • Advances in Robotics
  • Human Robot Interaction (HRI)
  • Mobile Robotics
  • Unmanned Aerial Vehicles
  • Medical Devices
  • Medical Image Processing
  • Cognitive Robotics
  • Machine Perception

Manufacturing

Humanities Electives

  • Nano Electro Mechanical Systems
  • CNC Technology
  • Computer Integrated Manufacturing
  • Hydraulic and Pneumatic Systems
  • Dynamics of Social Change
  • Introduction to Psychology
  • Heritage of India
  • Modern Political Science
  • Public Administration
  • Professional Ethics

Medical Robotics

  • Medical devices
  • Medical Image Processing
  • Machine Perception
  • Surgical Robots
Digital Humanities Electives I (VII/VIII Semester)
  • Social Innovation

Civil Engineering with specialization in

  • Structural Engineering
  • Geotechnical Engineering
  • Transportation Engineering
  • Water Resources & Environmental Engineering

Year I

Semester- I

Semester- II

  • Mathematics-I
  • English Language Skills
  • Chemistry
  • Introduction to Electrical and Electronics Sciences
  • Computer Programming
  • Engineering Graphics
  • Mathematics-II
  • Professional Communication
  • Environment Sciences & SDGs
  • Physics
  • Digital Signal Processing
  • Introduction to AI and DS
  • Digital Fabrication

Year II

Semester- III

Semester- IV

  • Introduction to IoT
  • Object Oriented Programming Concepts
  • Mathematics-III
  • Principles of Managerial Economics
  • Engineering Mechanics
  • Surveying
  • Fluid Mechanics and HM
  • Optimization Techniques
  • Environmental Engineering
  • Water Resources Engineering
  • Soil Mechanics
  • Building Materials and Construction
  • Mechanics of solids

Internship Program I (8 Weeks)/Major Project/Certification Course

Year III

Semester- V

Semester- VI

  • Structural Analysis
  • Machine Learning Applications in Civil Engineering
  • Highways and Tunnel Engineering
  • Foundation Engineering
  • Water Supply and Waste Water Engineering
  • Building Drawing, Estimation, Costing and Valuation
  • Open Elective
  • Intelligent Transport Systems
  • Design of Steel Structures
  • Construction Planning and Management
  • Design of Concrete Structures
  • Airports, Railways and Harbor Engineering
  • Special Project / Capstone Project

Year IV

Semester- VII

Semester- VIII

  • Internship Program II / Thesis & Seminar

OR

  • Electives (4)
  • Discipline Elective (1)
  • Humanities Elective (1)
  • Electives (4)
  • Discipline Elective (1)
  • Humanities Elective (1)

OR

  • Internship Program II / Thesis & Seminar

The Program structure is subject to change (if required).

Electives

Specialization Electives (VII/VIII Semesters)

Structural Engineering

Geotechnical Engineering

  • Concrete Technology
  • Finite Element Analysis
  • Automation and Building Information Modeling
  • Design of Industrial Structures
  • Ground Improvement Techniques
  • Soil Dynamics and Machine Foundation Engineering
  • Design of Reinforced Earth and Geotextiles
  • Analysis and Design of Shallow and Deep Foundation

Transportation Engineering

Water Resources and Environmental Engineering

  • Urban Transport Planning
  • Pavement Evaluation, Rehabilitation and Maintenance
  • GIS and Remote Sensing
  • Mass Transportation Operations and Management
  • Design of Hydraulic Structures (STR/ WR)
  • Hazardous Waste Management
  • Disaster Management and Mitigation
  • Irrigation Engineering

General & Mathematics Elective

Humanities Electives

  • Sustainability Development
  • Fire Safety Engineering
  • Probability, Statistics and Linear programming
  • Numerical Methods
  • Dynamics of Social Change
  • Introduction to Psychology
  • Heritage of India
  • Modern Political Science
  • Public Administration
  • Professional Ethics
  • Social Innovation

Mechanical Engineering with specialization in

  • Manufacturing
  • Design
  • Energy Engineering
  • Industrial Engineering

Year I

Semester- I

Semester- II

  • Mathematics-I
  • English Language Skills
  • Chemistry
  • Introduction to Electrical and Electronics Sciences
  • Computer Programming
  • Engineering Graphics
  • Mathematics-II
  • Professional Communication
  • Environment Sciences & SDGs
  • Physics
  • Digital Signal Processing
  • Introduction to AI and DS
  • Digital Fabrication

Year II

Semester- III

Semester- IV

  • Introduction to IoT
  • Object Oriented Programming Concepts
  • Mathematics-III
  • Principles of Managerial Economics
  • Engineering Mechanics
  • Thermal Engineering
  • Fluid Mechanics and HM
  • Matlab Based Numerical Methods
  • Industry coding practice (Python and R)
  • Strength of Materials
  • Applied Thermodynamics
  • Kinematics & Dynamics of Machinery
  • Machine Drawing

Internship Program I (8 Weeks)/Major Project/Certification Course

Year III

Semester- V

Semester- VI

  • Machine Learning Applications in Mechanical Engineering
  • Optimization Techniques
  • Hydraulics & Hydraulic Machinery
  • Design of Machine Elements
  • Machine Tools & Metrology
  • Control System
  • Digital Humanities Eective1
  • Intelligent Transport Systems
  • Manufacturing Processes & Technology
  • Computer Aided Design
  • Supply Chain Management
  • Special Project / TIP / Capstone Project

Year IV

Semester- VII

Semester- VIII

  • Internship Program II / Thesis & Seminar

OR

  • Electives (4)
  • Discipline Elective (1)
  • Humanities Elective (1)
  • Electives (4)
  • Discipline Elective (1)
  • Humanities Elective (1)

OR

  • Internship Program II / Thesis & Seminar

The Program structure is subject to change (if required).

Specialization Electives (VII/VIII Semesters)

Manufacturing

Design

  • Nanotechnology
  • Computer Aided Manufacturing
  • Smart Manufacturing- Industry 4.0
  • Green Manufacturing
  • Mechanical Equipment Design
  • Principles of Tribology
  • Vibration Control
  • AI & ML in Design Analysis

Energy Engineering

Industrial Engineering

  • Automotive Engineering
  • Refrigeration and Air Conditioning
  • Nonconventional Sources of Energy
  • Computational Fluid Dynamics
  • Production Planning & Control
  • Automation and Intelligent Systems
  • Quality Assurance & Reliability
  • Simulation & Modeling

Emerging Areas

Humanities Electives

  • Additive Manufacturing Processes and Applications
  • Robotics & Automation
  • Machine to Machine Communication
  • Reverse Engineering
  • Dynamics of Social Change
  • Introduction to Psychology
  • Heritage of India
  • Modern Political Science
  • Public Administration
  • Professional Ethics
  • Social Innovation

Admission Modalities

The Admission modalities are with reference to the campus-based full-time programs offered by the ICFAI University, Dehradun.

Eligibility Criteria

Pass in 3 year Diploma in Engineering (in respective branch) with 50% and above aggregate marks.

  • The admission into the programs is on the basis of Merit, through Application and Interview. While evaluating students for admission, due weightage is also given to their academic distinctions, awards in sports/cultural events, debates, quizzes and other extra-curricular activities.
  • Original certificates of educational credentials and domicile status certificate should be produced for verification at the time of payment of first semester fee. The original certificates will be returned after verification.
  • The admission decision will be communicated after the interview process.

Students interested can apply by any one of the following methods

Online Application

  • Applicants can apply online by filling up the Application Form available at www.iudehradun.edu.in and make payment of Rs. 500 towards the cost of the Application using Credit / Debit Card (Visa / Master Card / Internet Banking) through secure internet payment gateway
  • Applicants applying online should upload their passport size color photograph while filling the Online Application. The Prospectus will be sent to such applicants.

Download of Application Form

  • Applicants can fill their details online and download the Application Form from www.iudehradun.edu.in and send it to the Admissions Office along with the Bank Demand Draft of Rs. 500 towards the cost of the application in favor of “The ICFAI University, Dehradun - Fee Collection A/c” payable at Dehradun.

Fill the Application Form

  • Applicants can fill in the application form and send it to the Admissions Office.

The applicants are advised to read the guidelines carefully before completing the Application Form for Admission.

  • Please make sure that you meet the eligibility criteria before filling up the Application Form.
  • Fill the Application Form in Capital Letters.
  • Provide all the available information under appropriate sections.
  • Make sure to sign the Application Form.
  • Retain a photocopy of the completed Application Form.

Applicants are required to enclose self attested copies of the following certificates.

  • Date of Birth Certificate / Class X Certificate.
  • Mark Sheets of Class X, XII, Degree, Diploma (as may be applicable).
  • Domicile Certificate (if applicable).
  • Any other certificates pertaining to academic and other activities.

The completed Application Form for Admission should be sent to

Admissions Office :

The ICFAI University, Dehradun, Rajawala Road,

Central Hope Town, Selaqui, Dehradun - 248 011, Uttarakhand.

Toll Free: - 1 800 120 8727

E-mail : admissions@iudehradun.edu.in

Website : www.iudehradun.edu.in.

Fee Schedule

The fee for B.Tech. (Lateral Entry) program is mentioned in the table below

Programs No. of Semesters Admission Fee Total Program Fee Convocation & Alumni Fee Caution Deposit
Domicile Non-domicile
B.Tech. (Lateral Entry) 6 20,000 3,60,000 4,20,000 6000 10,000

Domicile

To avail the domicile benefits in the program fee, candidate domicile certificate is required at the time of registration.

Program Fee

Program Fee is to be paid in equal installments as shown against the respective program.

Convocation Fee & Alumni Fee

Convocation Fee of Rs. 1,000 and Alumni Fee of Rs. 5,000 is to be paid along with the program fee of final semester.

Caution Deposit

All students are required to pay the caution deposit along with the first semester fee. The caution deposit will be refunded to students on completion of the program. Caution Deposit and Security Deposit are not adjustable against Program Fee and other dues.

Merit Scholarships Scheme

The ICFAI University, Dehradun offers merit scholarships to students pursuing the B.Tech. (Lateral Entry) program. These scholarships are based on past academic record and semester-wise performance.

The past academic percentage will be calculated by adding all subjects of class XII for B.Tech. (Lateral Entry) program. Once the student get backlog (RRA/NC/RC) in a semester then he/she will not be eligible for the scholarship there after. He/ she should have scored 6 or more GPA in the semester. Students facing any disciplinary action will not be eligible for scholarship. Students who have availed any kind of fee waiver are not eligible for scholarship.

Note: Students are required to pay complete semester fee on or before the registration date. The details are presented in the following table.

Program

Amount of Scholarship in *

No. of Semesters

Category-I (≥90%)

Category-II (≥80% to < 90)

Category-III (≥70% to < 80)

Category-IV (≥60% to < 70)

Category V (≥50% to < 60)

B.Tech (LE) (Domicile)

Total Scholarship

6

1,08,000

90,000

72,000

42,000

36,000

Initial Scholarship Offer at the Time of Joining

60,000

54,000

48,000

42,000

36,000

Balance

48,000

36,000

24,000

Nil

Nil

B.Tech (LE) (Non- Domicile)

Total Scholarship

6

1,08,000

90,000

72,000

49,000

42,000

Initial Scholarship Offer at the Time of Joining

70,000

63,000

56,000

49,000

42,000

Balance

38,000

27,000

16,000

Nil

Nil

Remarks

Balance scholarship given to the student, if ≥ 8.00 GPA maintained from second semester onwards

Balance scholarship given to the student, if ≥ 7.00 GPA maintained from second semester onwards

Balance scholarship given to the student, if ≥ 6.00 GPA maintained from second semester onwards

Nil

Nil

Balance scholarship amount would be adjusted in the remaining semesters.

Note: No other scholarship is not applicable for B.Tech (LE) Admissions.

10% of the students in the batch having highest CGPA will be eligible for the scholarship. Scholarship amount would be distributed equally among students with equivalent CGPA if tied with the last student in the top 10%. Students should not have any backlogs (RRA/NC/RC) in any semester. Students who have availed any kind of fee waiver are not eligible for scholarship. Students facing disciplinary action of any kind are not eligible for scholarship.

Note: Students are required to pay complete semester fee on or before the registration date.

Programs No. of Semesters Academic Performance (CGPA) Amount of Scholarship in Rs. (per semester)
Category I (≥ 9.00) Category II (≥ 8.50 to < 9.00) Category III (≥ 8.00 to < 8.50)
B.Tech. (Lateral Entry) 6 18,000 13,200 9,000