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Overview

Amrita Vishwa Vidyapeetham introduces the B.Tech in Artificial Intelligence & Data Science (Medical Engineering), a cutting-edge undergraduate course designed to equip students with the expertise to innovate in the intersecting fields of AI and healthcare. This AI course is conducted at the renowned Amrita Hospital which has 81 specialities. The student will get a rare opportunity to learn AI from the best teachers and work with expert medical doctors while applying the AI technology to medical projects.

Considering the large demand for skilled professionals in AI and healthcare, this program offers a unique blend of Computer Science, Artificial Intelligence, and basic medical concepts, tailored to meet both national and international requirements.

Apply with Scores From

JEE Mains 2024

Last Date to Apply : June 09, 2024

AEEE (Amrita Entrance Examination – Engineering)

75%

Upto Fee Waiver*

For Toppers In AEEE & Jee Mains

95%

Placement In
2023

56.95

Lakh P.A

Highest CTC

Courses

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Initial semesters are dedicated to core subjects like programming in Python, Machine Learning, Deep Learning and basic medical concepts. Advanced training follows, covering AI applications in healthcare, including data analysis, medical imaging, and the development of AI-driven diagnostic and therapeutic tools. Students will engage in hands-on projects under the guidance of Computer Science, AI & medical professionals, facilitating real-world experience and innovative problem-solving skills.

The AI & Medical Engineering program promises a comprehensive educational experience without requiring prior knowledge in biology or medicine, as it includes complete medical training integrated with AI education.

Eligibility

Eligibility

A pass in 12th class or equivalent from a recognized board with not less than 55% in Physics, Chemistry & Mathematics separately and an aggregate minimum of 60% in Physics, Chemistry & Mathematics. No prior knowledge in biology or medicine is required.

Admission to all the B.Tech programmes for the year 2024 is based on any one of the following:

  • Amrita Entrance Examination – Engineering 2024
  • JEE Mains 2024 Percentile Score

Fee Structure

Only Applicable for Faridabad

  Tution Fees Hostel Fee & Mess Fee
  Scholarship Non Scholarship  
Per Year 1,50,000 6,00,000 Mess Fee: 71,000 (1 year)
2,90,000 *2 – Person Sharing,
AC Room,
Fee: 97,000 (1 year) – Electricity Included
4,00,000 *4 – Person Sharing,
AC Room,
Fee: 73,000 (1 year) – Electricity Included
One Time     Caution Deposit: 10,000/- (Refundable)
Note :
Scholarship depends upon the Scores of the candidate in AEEE / JEE entrance exams and other factors.
*Hostel rooms are provided on a first-come basis. The exact fee will depend upon the type of room sharing. The suggestive rates are mentioned above

Program Overview

Program Specific Outcomes (PSOs)
  • PSO1: Develop an in-depth understanding of the principles, mathematical concepts, tools and algorithms of AI applied to metabolic, physiological and allied biological problems in Medicine and Healthcare.
  • PSO2: Apply AI principles in healthcare data research and analysis, and communicate their findings to the medical community.
  • PSO3: Use AI to design innovative solutions for making informed decisions based on data-driven insights, identify and execute projects applying AI and clinical data to tailor medical treatment and healthcare decisions to the individual requirement of each patient.
Program Outcomes

Engineering Graduates are expected to:

  • Engineering knowledge: Apply the knowledge of mathematics, science, engineering fundamentals, and an engineering specialization to the solution of complex engineering problems.
  • Problem analysis: Identify, formulate, review research literature, and analyze complex engineering problems reaching substantiated conclusions using first principles of mathematics, natural sciences, and engineering sciences.
  • Design/development of solutions: Design solutions for complex engineering problems and design system components or processes that meet the specified needs with appropriate consideration for the public health and safety, and the cultural, societal, and environmental considerations.
  • Conduct investigations of complex problems: Use research-based knowledge and research methods including design of experiments, analysis and interpretation of data, and synthesis of the information to provide valid conclusions.
  • Modern tool usage: Create, select, and apply appropriate techniques, resources, and modern engineering and IT tools including prediction and modeling to complex engineering activities with an understanding of the limitations.
  • The engineer and society: Apply reasoning informed by the contextual knowledge to assess societal, health, safety, legal and cultural issues and the consequent responsibilities relevant to the professional engineering practice.
  • Environment and sustainability: Understand the impact of the professional engineering solutions in societal and environmental contexts, and demonstrate the knowledge of, and need for sustainable development.
  •  Ethics: Apply ethical principles and commit to professional ethics and responsibilities and norms of the engineering practice.
  • Individual and team work: Function effectively as an individual, and as a member or leader in diverse teams, and in multidisciplinary settings.
  • Communication: Communicate effectively on complex engineering activities with the engineering community and with society at large, such as, being able to comprehend and write effective reports and design documentation, make effective presentations, and give and receive clear instructions.
  • Project management and finance: Demonstrate knowledge and understanding of the engineering and management principles and apply these to one’s own work, as a member and leader in a team, to manage projects and in multidisciplinary environments.
  • Life-long learning: Recognize the need for, and have the preparation and ability to engage in independent and life-long learning in the broadest context of technological change.

Curriculum

Semester I
Course Title Credits Weekly
23MAT106 Mathematics for Intelligent Systems 1 4 3-0-2
24AIM101 Computational thinking, programming & problem solving 3 2-0-2
24AIM102 Introduction to cell biology, biochemistry & anatomy 3 2-0-2
24AIM103 Research Methodology and Communication for AIME 2 1-0-2
24EEE101 Foundations in Electrical and Electronic Engg. 3 2-0-2
22AVP103 Mastery Over Mind 2 1-0-2
22AVP212 Amrita Value Program I

(Introduction to Traditional Indian Systems of Medicine)

1 1-0-0
Micro-credential Courses- set 1 4 3-0-2
Total [22] [29 hrs.]
Semester II
Course Title Credits Weekly
23MAT112 Mathematics for Intelligent Systems 2 3 2-0-2
24AIM111 Introduction to data structures & algorithms 3 2-0-2
24AIM112 Molecular biology & basic cellular physiology 3 2-0-2
24AIM113 Introduction to NN, CNN and GNN 3 2-0-2
24AIM114 Analog system design 3 2-0-2
24AIM115 Ethics, innovative research, businesses & IPR 2 1-0-2
22AVP208 Amrita Value Programme II

(Insights into Indian Arts and Literature)

1 1 0 0
Micro-credential Courses- set 2 4 3-0-2
Total [22] [29 hrs.]
Semester III
Course Title Credits Weekly
23MAT204 Mathematics for Intelligent Systems 3 3 2-0-2
24AIM201 Mechanics & fluidized systems 3 2-0-2
24AIM202 Macroscopic and systemic physiology 3 2-0-2
24AIM203 Introduction to NLP, Transformers & LLM 3 2-0-2
24AIM204 Foundations of computer architecture 3 2-0-2
22ADM101 Foundations of Indian heritage 2 2-0-1
23LSE201 Life skills for Engineers I P/F 1-0-2
Micro-credential Courses -set 3 4 3-0-2
Total [21] [31 hrs.]
Semester IV
Course Title Credits Weekly
23MAT214 Mathematics for Intelligent Systems 4 3 2-0-2
24AIM211 Machine learning for cheminformatics & bioinformatics 3 2-0-2
24AIM212 Foundations of pathology & pharmacology 3 2-0-2
24AIM213 Introduction to biomaterials & engineering 3 2-0-2
24AIM214 Computer operating systems & networks 3 2-0-2
23CUL232 Free Electives (Exploring science and technology in ancient India) 2 2-0-0
22ADM111 Glimpses of Glorious India 2 2-0-1
23LSE211 Life skills for Engineers II 2 1-0-2
Micro-credential Courses -set 4 4 3-0-2
Total [25] [33 hrs.]
Semester V
Course Title Credits Weekly
24AIM301 Signal & image processing 3 2-0-2
24AIM302 Biomedical data acquisition & management 3 2-0-2
24AIM303 Biological systems, simulation and modeling 3 2-0-2
24AIM304 Reinforcement learning 3 2-0-2
24AIM305 Introduction to DBMS 3 2-0-2
23HUM233 Free Electives (Glimpses of Indian economy and polity) 2 2-0-0
23LSE301 Life skills for Engineers III 2 1-0-2
Micro-credential Courses -set 5 4 3-0-2
Total [23] [30 hrs.]
Semester VI
Course Title Credits Weekly
24AIM311 Biostatistics 3 2-0-2
Elective 1 3 2-0-2
Elective 2 3 2-0-2
Elective 3 3 2-0-2
Elective 4 3 2-0-2
23LSE311 Life skills for Engineers IV 2 1-0-2
Micro-credential Courses -set 6 4 3-0-2
Total [21] [28 hrs.]
Semester VII
Course Title Credits Weekly
Elective 5 3 2-0-2
Elective 6 3 2-0-2
Elective 7 3 2-0-2
Elective 8 3 2-0-2
Elective 9 3 2-0-2
24AIM498 Project Phase I 2
Total [17] [20 hrs.]
Semester VIII
Course Title Credits Weekly
24AIM499 Project Phase II 13
Total [13] [Nil]
Micro Credential Course
Semester 1, Micro-credential courses Set 1
24AIM131 Introduction to ML –Decision tree, Clustering, Regression
24AIM132 WEKA tool for ML
24AIM133 Chemical Molecular representation for AI -Matrices, SMILES, SELFIES
24AIM134 Use of AR and VR in medicine
Semester 2, Micro-credential courses Set 2
24AIM141 Patterns in Software Design (Model -view-controller, Command, Observer Patterns)
24AIM142 Introduction to Linux operating system and Commands
24AIM143 Introduction to Internet and Protocols
24AIM144 Introduction to Data Compression
Semester 3, Micro-credential courses Set 3
24AIM231 Signal Processing with LA and Optimization and Probability theory
24AIM232 Introduction to Signal Acquisition systems, ECG, EEG
24AIM233 Brain-computer interface devices
24AIM234 Introduction to Biomechanics
Semester 4, Micro-credential courses Set 4
24AIM241 Introduction to Programming on FPGAs
24AIM242 Introduction to web programming
24AIM243 Introduction to Interfacing Devices to Computers (standards and Protocols)
24AIM244 Advanced programming with FPGAs
Semester 5, Micro-credential courses Set 5
24AIM331 Low field MRI construction
24AIM332 Introduction to Cloud Computing
24AIM333 Introduction to Full stack software development
24AIM334 Making ultra sound stethoscope:Principle, construction and analysis of data
Semester 6, Micro-credential courses Set 6
24AIM341 SVD and ADMM revisited
24AIM342 Distributions derived from Normal distributions and Statistical Inference
24AIM343 Spatio-temporal Data Analytics with VMD and DMD
24AIM344 Vector Databases
Aligned Elective Courses
Semester Course Code Course Title
6th 24AIM431 Biomedical instrumentation
6th 24AIM432 Cell culture and tissue engineering
6th 24AIM433 Emerging areas in biomedical engineering
6th 24AIM434 Bio photonics
6th 24AIM435 Lab-on-chip devices
6th 24AIM436 AI in emergency, forensic and molecular medicine
6th 24AIM437 Advanced biomechanics
6th 24AIM438 Artificial organs
6th 24AIM439 Advanced bioinformatics
7th 24AIM440 BioMEMS
7th 24AIM441 Drug delivery systems
7th 24AIM442 3D printing in biomedicine
7th 24AIM443 Embedded and real time systems
7th 24AIM444 Healthcare management
7th 24AIM445 Telemedicine
7th 24AIM446 Basic clinical science
7th 24AIM447 Medical Microbiology & Immunology
7th 24AIM448 Nano, novel & alternative medicine approaches
Special Electives
Course Code Credits Weekly

CSE-Electives

24CSE431 Advanced Database Management Systems 3 2-0-2
24CSE432 Computer Graphics 3 2-0-2
24CSE433 Distributed Computational Systems 3 2-0-2

Robotics-Electives

24RAI431 Sensors & actuators for robotics 3 2-0-2
24RAI432 Under actuated robots 3 2-0-2
24RAI433 Multi Robot Systems 3 2-0-2
24RAI434 Robotic Operating Systems & Robot Simulation 3 2-0-2

ECE-Electives 

24ECE431 Radio Frequency Communication Systems 3 2-0-2
24ECE432 Analog Circuits 3 2-0-2
24ECE433 Signals and Control Systems 3 2-0-2
24ECE434 Digital and VLSI Systems 3 2-0-2
Amrita Values Programme
Course Code Title L-T-P Credits
22ADM201 Strategic Lessons from Mahabharatha 1-0-0 1
22ADM211 Leadership from Ramayana 1-0-0 1
22AVP210 Kerala Mural Art and Painting 1-0-0 1
22AVP201 Amma’s Life and Message to the modern world 1-0-0 1
22AVP204 Lessons from the Upanishads 1-0-0 1
22AVP205 Message of the Bhagavad Gita 1-0-0 1
22AVP206 Life and Message of Swami Vivekananda 1-0-0 1
22AVP207 Life and Teachings of Spiritual Masters of India 1-0-0 1
22AVP208 Insights into Indian Arts and Literature 1-0-0 1
22AVP213 Traditional Fine Arts of India 1-0-0 1
22AVP214 Principles of Worship in India 1-0-0 1
22AVP215 Temple Mural Arts in Kerala 1-0-0 1
22AVP218 Insights into Indian Classical Music 1-0-0 1
22AVP219 Insights into Traditional Indian Painting 1-0-0 1
22AVP220 Insights into Indian Classical Dance 1-0-0 1
22AVP221 Indian Martial Arts and Self Defense 1-0-0 1
22AVP209 Yoga and Meditation 1-0-0 1

FAQ (Faridabad)

What is your tentative date to start B.Tech & M.Tech courses in AI at Faridabad Campus?

August 15, 2024

Please advise about accreditation of this program from GOI agencies

AI & DS (Medical Engineering), Amrita Vishwa Vidyapeetham has received official approval from the All India Council for Technical Education (AICTE) to offer these courses at the Faridabad campus, Delhi NCR.

Is there any scholarship available for this course?

Yes, there are 3 slabs available for Scholarship where annual tuition fees will be 1.5, 2.9 & 4.0 lakhs respectively. It will be based on the merit list prepared keeping in mind the JEE or AEEE scores.

 

M.Tech Procedures & Curriculum

We will update it on the website asap.

I am a diploma holder. Can I get lateral entry directly in 2nd year?

We are starting a B.Tech course from this academic year, so will have only first year students starting in August 2024.

Where I can get the curriculum of a B.Tech course.
Do we need prior knowledge in biology or medicine?

Prior knowledge in biology or medicine is not necessary

 

Do we need prior knowledge in computer science or medicine?

No, prior knowledge in computer science or medicine is not necessary.

Where is the Faridabad campus located, and what are the benefits?

The Faridabad campus is located in Delhi NCR, and the benefits include access to modern facilities and a vibrant student community.

Is campus accommodation open for students?

Yes, campus accommodation, for both boys & girls, is available for students. Hostel fees will be updated shortly.

Why Amrita

The top reasons to choose Amrita for your career

601-800th

World University Rankings 2020

141

BRICS Rankings 2020

801–1000th

World University Rankings 2020

168th

BRICS University Rankings 2020

7th

India University Rankings 2023

15th

Overall Rankings 2023
ranking
7th Best
University in India
ranking
Amrita Ranked No.1 in India Top 100 in The World
ranking
Topmost
‘A++’ Grade

Contact Us

Faridabad

Amrita School of Artificial Intelligence,
Amrita Hospital Sector 88, Faridabad,
Haryana, PIN: 121002
Mobile: 8130625198
Email ID : admissions@AmritaAI.org

Coimbatore

Amrita School of Artificial Intelligence,
Amrita Vishwa Vidyapeetham,
Amritanagar Campus
Coimbatore- 641 112,
Tamil Nadu, India

Admissions Apply Now