

MASTER-OF-TECHNOLOGY in Bio Medical Signal Processing And Instrumentation at JSS Science and Technology University


Mysuru, Karnataka
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About the Specialization
What is Bio Medical Signal Processing and Instrumentation at JSS Science and Technology University Mysuru?
This Bio Medical Signal Processing and Instrumentation program at JSS Science and Technology University focuses on the advanced study of acquiring, processing, and interpreting physiological signals, along with the design and development of sophisticated medical instruments. The Indian healthcare industry is experiencing rapid growth, driven by technological advancements and increasing health awareness, leading to high demand for professionals skilled in areas like diagnostic imaging, smart medical devices, and AI-driven diagnostics, making this specialization highly relevant and sought after in the country.
Who Should Apply?
This program is ideal for engineering graduates, particularly from Electronics and Communication, Biomedical, Instrumentation, and Electrical backgrounds, seeking to specialize in cutting-edge medical technology. It caters to fresh graduates aiming for entry into the medical device manufacturing or healthcare R&D sectors, and working professionals looking to upskill in advanced signal processing, medical imaging, or intelligent instrumentation for career advancement in India''''s booming health-tech landscape and research domains.
Why Choose This Course?
Graduates of this program can expect diverse India-specific career paths, including roles as Biomedical Engineers, Clinical Scientists, R&D Engineers in medical device companies, and Data Scientists in healthcare analytics. Entry-level salaries typically range from INR 4-7 LPA, with experienced professionals earning INR 10-20 LPA or more. The program aligns with professional certifications in medical device quality (e.g., ISO 13485) and regulatory affairs, offering strong growth trajectories in Indian and global MNCs operating within India''''s healthcare ecosystem.

Student Success Practices
Foundation Stage
Master Core Biomedical Signal Processing Fundamentals- (Semester 1)
Dedicate significant effort to internalizing the core concepts of Advanced Biomedical Instrumentation, Digital Signal Processing for Biomedical Applications, and Applied Mathematics. Regular practice through problem-solving, active participation in discussions, and clarifying concepts with faculty are key for building a strong base.
Tools & Resources
NPTEL lectures, MATLAB/Python for signal processing exercises, specific textbooks recommended by faculty, academic discussion forums
Career Connection
A robust understanding of these foundational subjects is non-negotiable for excelling in advanced courses, research projects, and securing R&D roles in companies specializing in medical device development and healthcare analytics.
Engage in Hands-on Lab Exploration- (Semester 1)
Actively participate in the Biomedical Signal Processing and Instrumentation labs. Focus on understanding the experimental setup, data acquisition protocols, and signal analysis techniques. Document findings meticulously and explore ways to optimize experiments or analyze data differently.
Tools & Resources
Laboratory equipment, MATLAB, Python (Scipy, NumPy), signal generators, oscilloscopes, specific medical sensors
Career Connection
Practical experience with biomedical equipment and signal processing software is highly valued by employers. It prepares you for roles in product testing, quality control, and clinical applications of medical technology.
Initiate Research Interest and Skill Building- (Semester 1)
Pay close attention during the Research Methodology and IPR audit course. Start reading research papers related to the specialization, even if introductory. Identify areas of interest for potential future projects and begin familiarizing yourself with academic writing styles.
Tools & Resources
IEEE Xplore, PubMed, Google Scholar, Zotero/Mendeley for reference management, college library resources
Career Connection
Early exposure to research methodology and IPR strengthens critical thinking and analytical skills, which are essential for advanced project work, higher studies, and R&D positions.
Intermediate Stage
Specialize through Electives and Advanced Concepts- (Semester 2)
Carefully choose Professional Electives (e.g., Medical Image Processing, Biosensors) aligned with your career aspirations. Dive deep into subjects like Medical Imaging Modalities and Pattern Recognition, understanding their practical applications in healthcare, to build specialized knowledge.
Tools & Resources
Specialized software for image processing (e.g., ImageJ, OpenCV), machine learning libraries (TensorFlow, PyTorch), simulation tools for Bio-MEMS
Career Connection
Specialization allows you to carve out a niche, making you a more attractive candidate for specific roles in medical imaging, AI in healthcare, or biosensor development, thereby enhancing your employability.
Undertake a Meaningful Mini Project- (Semester 2)
Approach the Mini Project with Seminar as an opportunity to apply theoretical knowledge to a real-world problem. Choose a topic that excites you, conduct thorough literature review, implement a viable solution, and present your findings effectively both orally and in a written report.
Tools & Resources
Project development kits, microcontrollers, specific medical datasets, presentation software, academic writing guides
Career Connection
A well-executed mini-project is a powerful resume builder, showcasing your ability to conduct independent research, solve practical problems, and present technical work – all critical skills for placements and future roles.
Enhance Technical Communication Skills- (Semester 2)
Actively engage with the Technical Writing and Presentation Skills audit course. Practice preparing clear and concise technical reports, research papers, and delivering engaging presentations. Seek feedback on your writing and speaking from peers and faculty to continuously improve.
Tools & Resources
Grammarly, LaTeX, professional presentation templates, public speaking workshops, peer review sessions
Career Connection
Effective communication is vital in any professional setting. Strong technical writing and presentation skills are crucial for project reports, research publications, and presenting your work during interviews or at conferences, boosting professional credibility.
Advanced Stage
Excel in Research Project Work (Phase I & II)- (Semester 3-4)
Dedicate yourself fully to the Research Project, viewing it as a capstone experience. Define a challenging problem, conduct in-depth research, develop innovative solutions, thoroughly analyze results, and write a high-quality thesis. Aim for publication if possible.
Tools & Resources
Advanced simulation software, experimental setups, specialized research databases, statistical analysis tools, academic journal guidelines for publication
Career Connection
A strong research project is paramount for M.Tech graduates. It demonstrates advanced problem-solving, innovation, and independent research capabilities, highly sought after for R&D roles, PhD admissions, and entrepreneurial ventures in the medical tech sector.
Maximize Internship/Industrial Training Benefits- (Semester 3)
Actively seek and participate in internships or industrial training in relevant medical technology companies, hospitals, or research labs. Treat the internship as an extended interview, demonstrating your skills, learning new technologies, and actively networking with industry professionals and mentors.
Tools & Resources
Professional networking platforms (LinkedIn), company websites, career fair information, industry contacts provided by the department
Career Connection
Internships provide invaluable real-world experience, often leading to pre-placement offers. They bridge the gap between academic learning and industry demands, enhancing your employability significantly and providing a practical understanding of industry operations.
Strategic Placement Preparation- (Semester 4 (ongoing from Sem 3))
Begin early preparation for placements by refining your resume, practicing technical interviews focusing on core and specialized subjects, and honing soft skills like communication and teamwork. Attend workshops on aptitude, group discussions, and personal interviews. Research target companies and tailor your applications.
Tools & Resources
Placement cell resources, online coding platforms, mock interview sessions, company-specific interview preparation materials, professional resume builders, Glassdoor for company insights
Career Connection
Proactive and strategic placement preparation maximizes your chances of securing a desirable job offer in top medical technology firms, R&D centers, or healthcare IT companies upon graduation, setting a strong foundation for your career.
Program Structure and Curriculum
Eligibility:
- B.E./B.Tech. degree in appropriate discipline (e.g., ECE, Instrumentation, Medical Electronics, Biomedical Engineering, Electrical, Telecommunication Engineering) with a minimum of 50% aggregate marks (45% for SC/ST/Cat-1 candidates) and valid GATE/PGCET score.
Duration: 4 semesters / 2 years
Credits: 88 Credits
Assessment: Internal: undefined, External: undefined
Semester-wise Curriculum Table
Semester 1
| Subject Code | Subject Name | Subject Type | Credits | Key Topics |
|---|---|---|---|---|
| 23BPS110 | Applied Mathematics for Biomedical Engineering | Core | 4 | Linear Algebra and Matrices, Probability and Random Processes, Optimization Techniques, Transform Techniques, Numerical Methods and Statistical Inference |
| 23BPS120 | Advanced Biomedical Instrumentation | Core | 4 | Physiological Transducers and Electrodes, Biopotential Amplifiers and Signal Conditioners, Medical Imaging Systems (overview), Therapeutic and Assistive Devices, Patient Safety and Medical Device Standards |
| 23BPS130 | Digital Signal Processing for Biomedical Applications | Core | 4 | DSP Fundamentals and Z-Transform, FIR and IIR Filter Design Techniques, Adaptive Filtering Algorithms, Time-Frequency Analysis (STFT, Wavelets), Biomedical Signal Noise Reduction and Feature Extraction |
| 23BPSE141 | Biomaterials and Artificial Organs | Professional Elective - 1 | 4 | Biocompatibility and Tissue Response, Metallic Biomaterials and Polymers, Ceramic and Composite Biomaterials, Cardiac Prosthesis and Vascular Grafts, Artificial Kidney, Lung, Liver and Skin |
| 23BPSE142 | Medical Image Processing | Professional Elective - 1 | 4 | Image Enhancement Techniques, Image Segmentation Methods, Image Registration Algorithms, Feature Extraction for Medical Images, 3D Visualization and Volume Rendering |
| 23BPSE143 | Advanced Embedded System Design | Professional Elective - 1 | 4 | Microcontrollers and Microprocessors Architectures, Real-Time Operating Systems (RTOS), Sensor and Actuator Interfacing, Embedded Networking and Communication Protocols, Firmware Development and Debugging |
| 23BPS150 | Biomedical Signal Processing Lab | Lab | 2 | ECG, EEG Signal Acquisition and Analysis, FIR and IIR Filter Implementation, Adaptive Noise Cancellation, Time-Frequency Analysis of Bio-signals, Feature Extraction from Biomedical Signals |
| 23BPS160 | Biomedical Instrumentation Lab | Lab | 2 | Transducer Characterization and Calibration, Biopotential Measurement Systems, Medical Sensor Interfacing, Data Acquisition Systems for Physiological Signals, Patient Monitoring Systems Implementation |
| 23BPS170 | Research Methodology and IPR | Audit Course | 0 | Research Problem Formulation, Data Collection and Analysis Methods, Technical Report Writing, Research Ethics and Plagiarism, Intellectual Property Rights (Patents, Copyrights) |
Semester 2
| Subject Code | Subject Name | Subject Type | Credits | Key Topics |
|---|---|---|---|---|
| 23BPS210 | Bio-MEMS and Microsystems | Core | 4 | MEMS Fabrication Processes, Microfluidics and Lab-on-a-Chip, Micro-sensors and Actuators, Biosensors based on MEMS, Biomedical Microdevices Applications |
| 23BPS220 | Medical Imaging Modalities | Core | 4 | X-ray and Computed Tomography (CT), Magnetic Resonance Imaging (MRI) Principles, Ultrasound Imaging Systems, Nuclear Medicine (PET, SPECT), Image Reconstruction Techniques |
| 23BPS230 | Pattern Recognition and Machine Learning for Biomedical Applications | Core | 4 | Supervised and Unsupervised Learning, Classification and Regression Algorithms, Artificial Neural Networks, Deep Learning Architectures, Medical Data Analysis and Diagnosis |
| 23BPSE241 | Biosensors and Bioinstrumentation | Professional Elective - 2 | 4 | Principles of Biosensing, Electrochemical Biosensors, Optical Biosensors, Immunosensors and DNA Sensors, Clinical Applications of Biosensors |
| 23BPSE242 | Advanced Signal Processing | Professional Elective - 2 | 4 | Wavelet Transforms and Multiresolution Analysis, Time-Frequency Signal Analysis, Sparse Signal Processing, Blind Source Separation (ICA), Multirate Signal Processing |
| 23BPSE243 | Medical Robotics and Automation | Professional Elective - 2 | 4 | Robot Kinematics and Dynamics, Surgical Robotics Systems, Rehabilitation Robotics and Exoskeletons, Haptic Devices in Medicine, Robotic Control and Navigation Systems |
| 23BPS250 | Medical Imaging Lab | Lab | 2 | Medical Image Acquisition Simulations, Image Preprocessing and Enhancement, Segmentation of Medical Images, Feature Extraction from Images, Image Reconstruction Algorithms |
| 23BPS260 | Mini Project with Seminar | Project | 2 | Problem Identification and Scope Definition, Literature Review and Survey, Methodology Design and Planning, Implementation and Initial Results, Technical Seminar and Report Preparation |
| 23BPS270 | Technical Writing and Presentation Skills | Audit Course | 0 | Structure of Technical Reports and Theses, Effective Scientific Writing, Designing Professional Presentations, Public Speaking and Communication Skills, Academic Integrity and Referencing |
Semester 3
| Subject Code | Subject Name | Subject Type | Credits | Key Topics |
|---|---|---|---|---|
| 23BPS310 | Research Project Phase - I | Project | 8 | Detailed Problem Statement and Objectives, Comprehensive Literature Survey, Proposed Methodology and Experimental Design, Preliminary Implementation and Results, Project Planning and Management |
| 23BPSE321 | Internet of Medical Things (IoMT) | Professional Elective - 3 | 4 | IoMT Architecture and Protocols, Wearable and Implantable Devices, Data Security and Privacy in IoMT, Cloud Computing for Healthcare, Remote Patient Monitoring Applications |
| 23BPSE322 | Rehabilitation Engineering | Professional Elective - 3 | 4 | Assistive Technology and Devices, Prosthetics and Orthotics, Biomechanics of Human Movement, Functional Electrical Stimulation (FES), Rehabilitation Robotics and Virtual Reality |
| 23BPSE323 | Neural Engineering | Professional Elective - 3 | 4 | Brain-Computer Interfaces (BCI), Neural Stimulation Techniques, Neural Prostheses and Implants, Neurofeedback Systems, Computational Neuroscience Models |
| 23BPSE331 | Medical Optics and Lasers | Professional Elective - 4 | 4 | Light-Tissue Interaction Principles, Optical Imaging Techniques, Laser Systems in Medicine, Photodynamic Therapy, Biomedical Spectroscopy and Microscopy |
| 23BPSE332 | Virtual Reality and Augmented Reality in Medicine | Professional Elective - 4 | 4 | VR/AR Hardware and Software, Medical Simulation and Training, Surgical Planning and Navigation, Rehabilitation Therapy with VR/AR, Medical Visualization and Data Interaction |
| 23BPSE333 | Regulatory Affairs and Medical Device Standards | Professional Elective - 4 | 4 | Medical Device Classifications and Regulations, Quality Management Systems (ISO 13485), Clinical Trials and Post-Market Surveillance, Bioethics and Patient Consent, Product Commercialization and Global Standards |
| 23BPS340 | Internship/Industrial Training | Internship | 4 | Industry Environment Exposure, Practical Skill Application in Real Projects, Professional Networking and Mentorship, Technical Problem Solving in an Industrial Setting, Internship Report and Presentation |
Semester 4
| Subject Code | Subject Name | Subject Type | Credits | Key Topics |
|---|---|---|---|---|
| 23BPS410 | Research Project Phase - II | Project | 20 | Advanced Implementation and Experimentation, Detailed Data Analysis and Interpretation, Results Validation and Discussion, Thesis Writing and Documentation, Project Defense and Presentation |




