.png&w=1920&q=75)
M-TECH in Bio Medical Signal Processing Instrumentation at JSS Science and Technology University
Mysuru, Karnataka
.png&w=1920&q=75)
About the Specialization
What is Bio Medical Signal Processing & Instrumentation at JSS Science and Technology University Mysuru?
This Bio Medical Signal Processing & Instrumentation program at Sri Jayachamarajendra College of Engineering (now JSS STU) focuses on the intersection of engineering and medicine. It equips students with skills in designing, developing, and deploying advanced medical devices and signal processing techniques. The program addresses the growing demand for skilled biomedical engineers in India''''s rapidly expanding healthcare technology sector, emphasizing practical applications and interdisciplinary innovation.
Who Should Apply?
This program is ideal for engineering graduates with backgrounds in Electronics & Communication, Biomedical, Instrumentation, Electrical, or Computer Science, as well as M.Sc. graduates in Physics/Electronics/Instrumentation. It caters to fresh graduates aspiring to enter the medical technology industry, working professionals seeking to upskill in areas like medical imaging, signal analysis, or embedded systems, and career changers aiming to contribute to healthcare innovation in India.
Why Choose This Course?
Graduates of this program can expect diverse career paths in India, including roles in R&D in medical device companies (e.g., Philips Healthcare, GE Healthcare), hospitals, diagnostic centers, and healthcare IT firms. Entry-level salaries typically range from INR 4-7 lakhs per annum, with experienced professionals earning significantly more. The program prepares students for roles like Medical Image Analyst, Biosignal Processing Engineer, Medical Instrumentation Designer, and Clinical Research Engineer, aligning with global professional certification standards.
Student Success Practices
Foundation Stage
Master Core Concepts and Analytical Tools- (Semester 1-2)
Dedicate time to thoroughly understand advanced engineering mathematics, digital signal processing, and core biomedical instrumentation principles. Utilize platforms like NPTEL for supplementary learning in these areas and practice problem-solving using MATLAB for signal processing and simulation exercises.
Tools & Resources
NPTEL courses, MATLAB, Online DSP tutorials
Career Connection
A strong foundation in these areas is critical for understanding complex medical systems and signals, which is highly valued in R&D roles in medical device companies and diagnostic firms.
Develop Hands-on Lab and Programming Skills- (Semester 1-2)
Actively participate in DSP and Medical Instrumentation labs. Focus on practical implementation of signal acquisition, filtering, and analysis. Learn Python for data analysis and machine learning, which are increasingly vital in biomedical signal processing. Collaborate with peers on lab projects to enhance problem-solving.
Tools & Resources
Python (NumPy, SciPy, scikit-learn), Lab equipment at SJCE/JSS STU, GitHub for code sharing
Career Connection
Proficiency in practical skills and programming makes graduates highly employable for roles involving medical device development, prototyping, and data-driven diagnostic systems.
Engage in Early Research and Technical Writing- (Semester 1-2)
Begin exploring research papers in your areas of interest, especially those by faculty members. Attend department seminars and workshops to grasp current research trends. Focus on developing clear and concise technical writing skills from the Research Methodology and IPR course, preparing for future project reports and thesis writing.
Tools & Resources
IEEE Xplore, PubMed, Grammarly, Mendeley for referencing
Career Connection
Early exposure to research helps in identifying strong project topics, developing critical thinking, and preparing for research-oriented careers or higher studies (Ph.D.).
Intermediate Stage
Pursue Meaningful Internships and Industry Projects- (Semester 3 (during summer breaks and designated internship period))
Actively seek internships in medical device companies, hospitals with R&D wings, or healthcare startups. Apply the theoretical knowledge gained in courses like Medical Image Processing and Embedded Systems to real-world problems. Focus on gaining hands-on experience and building a professional network.
Tools & Resources
LinkedIn, Company career pages, Department placement cell
Career Connection
Internships are crucial for industry exposure, understanding corporate culture, and often lead directly to pre-placement offers, significantly boosting employability in the medical tech sector.
Specialize through Electives and Advanced Tools- (Semester 3)
Carefully choose professional electives based on your career interests, such as Deep Learning for Medical Applications or Biomechanics. Dive deeper into specialized software like Mimics for biomechanics or TensorFlow/PyTorch for AI in medicine. Engage in advanced lab projects related to your specialization.
Tools & Resources
TensorFlow/PyTorch, Medical imaging software (e.g., ITK-SNAP, 3D Slicer), Specialized hardware kits
Career Connection
Specialization makes you a valuable asset in niche areas of biomedical engineering, opening doors to specific roles in R&D, product development, or clinical engineering that require expert knowledge.
Initiate and Drive Your M.Tech Project (Phase I)- (Semester 3)
Start your Project Work Phase I early, focusing on a clear problem statement, comprehensive literature review, and a robust methodology. Engage regularly with your faculty guide and seek feedback. Leverage the skills acquired in previous semesters for design and preliminary implementation.
Tools & Resources
JSS STU research labs, Departmental resources, Academic databases
Career Connection
A well-executed project demonstrates your ability to conduct independent research, innovate, and solve complex problems, which is highly regarded by recruiters and for academic progression.
Advanced Stage
Excel in Project Work (Phase II) and Thesis Writing- (Semester 4)
Devote significant effort to Project Work Phase II, aiming for novel contributions and high-quality results. Focus on rigorous data analysis, effective validation, and a well-structured thesis. Prepare thoroughly for your project defense, articulating your contributions clearly.
Tools & Resources
LaTeX for thesis writing, Statistical software (R, SPSS), Plagiarism checker tools
Career Connection
A strong final project and thesis are your best portfolio, demonstrating expertise and research capability. It''''s a key factor for securing top placements or admission to Ph.D. programs.
Intensify Placement Preparation and Networking- (Semester 4)
Actively participate in placement drives and career fairs. Prepare a compelling resume/CV and practice technical interviews, focusing on concepts from your core and elective subjects. Network with alumni and industry professionals through conferences and online platforms to explore opportunities.
Tools & Resources
JSS STU placement cell, Mock interview platforms, Professional networking events
Career Connection
Proactive and thorough placement preparation significantly increases your chances of securing a desirable job in leading medical technology companies or research organizations.
Consider Publication and Entrepreneurial Ventures- (Semester 4 and post-graduation)
If your project yields significant results, aim for publication in national or international conferences/journals. Explore the possibility of converting your project into a startup, leveraging incubation support if available within JSS STU. This showcases innovation and leadership potential.
Tools & Resources
IEEE/Scopus indexed journals, JSS STU Incubation Centre, Startup India initiatives
Career Connection
Publications enhance your academic and professional profile, while entrepreneurial efforts demonstrate initiative and problem-solving skills, appealing to both employers and investors.
Program Structure and Curriculum
Eligibility:
- B.E./B.Tech. in E&C/Telecommunication/Instrumentation Technology/Biomedical Instrumentation/Medical Electronics/Electrical and Electronics/Computer Science and Engineering/Electronics and Instrumentation/Information Science and Engineering or M.Sc. in Physics/Electronics/Instrumentation, with 50% marks (45% for SC/ST/Category-I candidates). GATE qualified candidates are eligible for scholarship.
Duration: 4 semesters / 2 years
Credits: 72 Credits
Assessment: Internal: 50%, External: 50%
Semester-wise Curriculum Table
Semester 1
| Subject Code | Subject Name | Subject Type | Credits | Key Topics |
|---|---|---|---|---|
| MTBS01 | Advanced Engineering Mathematics | Core | 4 | Linear Algebra, Probability Theory, Random Variables and Distributions, Stochastic Processes, Numerical Methods and Optimization |
| BSPI01 | Advanced Digital Signal Processing | Core | 4 | DSP Fundamentals Review, Discrete-time Signals and Systems, DFT, FFT Algorithms, Digital Filter Design (FIR/IIR), Adaptive Filters, Multirate Signal Processing |
| BSPI02 | Advanced Biomedical Instrumentation | Core | 4 | Bioelectric Signals and Electrodes, Biomedical Transducers, Bioamplifiers and Filters, Patient Monitoring Systems, Therapeutic and Assistive Devices, Medical Equipment Safety |
| BSPI03 | Sensors and Transducers for Biomedical Applications | Core | 4 | Sensor Principles and Characteristics, Biopotential Electrodes, Physical and Chemical Sensors, Biosensors and Bio-MEMS, Smart Sensors in Healthcare, Medical Imaging Sensors |
| BSPIL01 | DSP and Medical Instrumentation Lab | Lab | 2 | MATLAB for DSP Applications, Digital Filter Implementation, Biomedical Signal Acquisition, Transducer Characterization, Data Logging and Analysis, Instrumentation Interfacing |
| RMIP01 | Research Methodology and IPR | Core | 2 | Research Problem Formulation, Data Collection Methods, Statistical Analysis Techniques, Technical Report Writing, Intellectual Property Rights, Patent Filing Process |
Semester 2
| Subject Code | Subject Name | Subject Type | Credits | Key Topics |
|---|---|---|---|---|
| BSPI04 | Medical Image Processing | Core | 4 | Image Acquisition and Representation, Image Enhancement Techniques, Image Restoration Algorithms, Image Segmentation Methods, Feature Extraction for Medical Images, 3D and Multi-modal Imaging |
| BSPI05 | Biomedical Signal Processing | Core | 4 | ECG Signal Analysis, EEG Signal Processing, EMG and EOG Analysis, Time-Frequency Analysis, Feature Extraction from Biosignals, Noise Reduction in Biomedical Signals |
| BSPI06 | Biomedical Embedded Systems and IoT | Core | 4 | Embedded Processors for Medical Devices, Real-Time Operating Systems, Wireless Communication in Healthcare, IoT Architectures for Medical Applications, Wearable Health Devices, Data Security and Privacy in IoT |
| BSPIE11 | Deep Learning for Medical Applications | Elective (Professional Elective - 1) | 3 | Introduction to Neural Networks, Convolutional Neural Networks (CNNs), Recurrent Neural Networks (RNNs), Deep Learning for Medical Imaging, AI in Diagnostics and Prognosis, Explainable AI in Healthcare |
| OESE11 | Technical Writing and Presentation Skills | Elective (Open Elective - 1) | 3 | Principles of Technical Writing, Structure of Research Papers, Effective Presentation Techniques, Communication Skills for Engineers, Academic Ethics and Plagiarism, Report and Thesis Writing |
| BSPIL02 | Medical Imaging and Signal Processing Lab | Lab | 2 | Image Processing Software (e.g., ImageJ, Python), Medical Image Segmentation, Feature Extraction from Biosignals, ECG and EEG Feature Analysis, Machine Learning for Medical Data, Development of Signal Processing Algorithms |
Semester 3
| Subject Code | Subject Name | Subject Type | Credits | Key Topics |
|---|---|---|---|---|
| BSPIE21 | Biomechanics and Rehabilitation Engineering | Elective (Professional Elective - 2) | 3 | Human Motion Analysis, Biomaterials and Tissue Engineering, Prosthetics and Orthotics Design, Rehabilitation Robotics, Assistive Technology, Ergonomics in Healthcare |
| BSPIE31 | Biomedical Optics and Lasers | Elective (Professional Elective - 3) | 3 | Fundamentals of Light-Tissue Interaction, Optical Imaging Techniques, Lasers in Medicine, Fiber Optics in Endoscopy, Photodynamic Therapy, Optical Coherence Tomography (OCT) |
| BSPIP01 | Project Work Phase – I | Project | 6 | Extensive Literature Review, Problem Identification and Formulation, Development of Research Methodology, Preliminary Data Collection and Analysis, Project Proposal and Report Writing, Presentation of Initial Findings |
| BSPIS01 | Internship | Internship | 4 | Industry Exposure and Experience, Practical Skill Application, Real-world Project Implementation, Professional Networking, Understanding Industry Workflows, Internship Report Submission |
Semester 4
| Subject Code | Subject Name | Subject Type | Credits | Key Topics |
|---|---|---|---|---|
| BSPIP02 | Project Work Phase – II | Project | 16 | System Design and Implementation, Extensive Data Analysis and Interpretation, Result Validation and Verification, Thesis Writing and Documentation, Oral Examination and Project Defense, Potential for Publication or Patent Filing |
