About Course

The 2-year M.Tech. in Electronics & Telecommunication with specialization in Digital Signal and Image Processing at Raisoni Education is an advanced postgraduate program designed to build deep competencies in the mathematical foundations, algorithmic development, and hardware implementation of systems that analyze, interpret, and manipulate signals and visual data. The curriculum empowers students to design intelligent perception systems that are at the core of modern communication, multimedia, biomedical, and autonomous technologies.

The program provides a rigorous blend of theoretical depth and practical application. Students gain specialized expertise in areas such as Advanced Digital Signal Processing, Adaptive Filtering, Statistical Signal Processing, Digital Image Processing, Computer Vision, Video Analytics, and Machine Learning for Signal/Image Analysis. They also explore emerging areas like Deep Learning for Computer Vision, Biomedical Signal and Image Processing, Radar and LiDAR Signal Processing, and Multimedia Forensics.

Graduates of M.Tech. (Digital Signal and Image Processing) at Raisoni Education are well-prepared for roles such as Signal Processing Engineer, Image Processing and Computer Vision Specialist, DSP Firmware Developer, Multimedia Algorithm Designer, Biomedical Imaging Analyst, and R&D Engineer (Perception Systems). They are sought after in sectors like consumer electronics, telecommunications, medical imaging, aerospace and defense, autonomous vehicles, and multimedia content creation.

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Kimba | Raisoni Education

Objectives of the Program

  • Build advanced expertise in discrete-time signals and systems, multi-rate processing, and adaptive filter theory.
  • Develop proficiency in image enhancement, restoration, segmentation, and feature extraction techniques.
  • Enable students to design and implement real-time DSP algorithms on embedded hardware platforms.
  • Enhance analytical thinking, algorithm design skills, and technical communication for research and development in perception technologies.

Study at Raisoni Education for a successful future & drive your career in the right direction with our M.Tech in Digital Signal and Image Processing Program

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Key Details

Raisoni Education

Two-year (2) course with two semesters in a year.

Raisoni Education

Center of Excellence in Machine Perception and Intelligent Vision Systems.

Raisoni Education

ICT-enabled smart classrooms and dedicated DSP and Image Processing Lab.

Raisoni Education

Incubation centre for financial support in computer vision, medical imaging, and multimedia tech startups.

Raisoni Education

Labs with high-end workstations, FPGA/DSP development kits, high-resolution cameras, and GPU servers.

Future of Signal and Image Processing Professionals

₹17,00,000/Year*Raisoni Education

In India, M.Tech. DSIP professionals with 5+ years of experience in computer vision, deep learning, or radar signal processing earn premium salaries based on specialization and industry demand.

35% Market GrowthRaisoni Education

According to industry reports, demand for computer vision engineers, signal processing specialists, and perception algorithm developers is surging with the rise of autonomous systems, Industry 4.0, and AI-driven healthcare.

2.5 Million+ JobsRaisoni Education

Worldwide job opportunities for skilled signal and image processing engineers in consumer tech, medical devices, defense, and autonomous vehicle companies.

Eligibility Criteria

To apply for the M.Tech. in E&TC (Digital Signal and Image Processing) at Raisoni Education, you must meet the following criteria:

Educational Qualification:
  • Completed B.E. / B.Tech or equivalent in Mechanical Engineering / Automobile Engineering / Aeronautical Engineering / Chemical Engineering or allied branches.
Minimum Marks Required:
  • General Category: 50% aggregate or equivalent CGPA (6.25 on a 10-point scale).
  • Reserved Category: 45% aggregate or equivalent CGPA.

Admission Procedure

Getting into Raisoni Education's M.Tech. Digital Signal and Image Processing is a structured yet seamless process. Here's how it works:

Step 1: Admission Notification
  • The University announces the admission cycle on its website, notice boards, newspapers, and other public platforms.
  • Stay updated to ensure you don't miss key dates.
Step 2: Application Submission
  • Fill out the application form with accurate details.
  • Attach all required documents.
Step 3: Shortlisting & Selection
  • Admission is based on valid GATE scores (preferred) or performance in the University's entrance examination and personal interview.
  • A shortlisted candidates list is published on the University website and notice boards.
Step 4: Provisional Admission (If Awaiting Results)

You can apply even if your B.E./B.Tech. results are pending. If shortlisted, you will receive provisional admission, but you must provide your final degree mark sheet within the stipulated timeframe. Failure to submit the final mark sheet on time will result in cancellation of provisional admission.

Step 6: Enrollment Confirmation

Once all documents and fees are submitted, you will be assigned a University enrollment number, officially marking the start of your journey at GHRISTU.

Step 5: Application Rejection Scenarios:

Your application may be rejected if:

  • You fail to meet the eligibility criteria.
  • The prescribed fee is not paid.
  • The form is incomplete, including missing signatures (candidate/parent/guardian).
  • Required documents are not submitted on time.
Required Documents:

Original documents and FOUR sets of attested photocopies are required at the time of admission:

  • GATE Score Card (if applicable)
  • B.E. / B.Tech. All Semester Mark sheets and Degree Certificate
  • HSC Marksheet
  • SSC Marksheet
  • Nationality Certificate
  • Domicile Certificate
  • College Leaving / Transfer Certificate
  • Aadhar Card (Photocopy)
If Applicable Documents:
  • Caste Certificate with Category
  • Non-Creamy Layer Certificate (valid)
  • Migration Certificate (for universities other than parent university)
  • Eligibility Certificate
  • Income Certificate
  • Gap Certificate / Experience Certificate

Core Skills

  • Advanced Digital Signal Processing (Filter Design, Multi-rate, Adaptive)
  • Digital Image Processing and Analysis (Enhancement, Segmentation, Morphology)
  • Computer Vision and Video Processing (Object Detection, Tracking)
  • Machine Learning and Deep Learning for Signal/Image Data (CNN, RNN, Transformers)
  • FPGA/DSP Implementation of Signal Processing Algorithms (Verilog/VHDL, Vitis HLS)
  • Mathematical Optimization and Linear Algebra for Signal Analysis

Career Opportunities

Entry Level (Post M.Tech.)
  • Graduate Signal Processing Engineer
  • Image Processing Algorithm Developer
  • Embedded DSP Software Engineer
  • Computer Vision Associate
Mid Level
  • Senior Computer Vision Engineer
  • Lead DSP Systems Architect
  • Multimedia Algorithm Specialist
  • Biomedical Image Analysis Lead
Senior Level
  • Principal Perception Systems Engineer
  • Head of Computer Vision Research
  • Director of Signal Processing (Defense/Telecom)
  • Chief Scientist (Imaging and Vision)

Future Studies

Several advanced programs and pathways you can pursue after completing an M.Tech. in Digital Signal and Image Processing:

Ph.D. in Signal Processing / Computer Vision / Medical Image Computing
Post-Doctoral Research Fellowship in Deep Learning for Perception, Computational Imaging, or Radar Systems
Professional Certifications (Certified LabVIEW Developer, TensorFlow Developer, NVIDIA DLI)

Course Available at College

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FAQ

What are the skills required to study for an M.Tech. in Digital Signal and Image Processing?

To pursue an M.Tech. in DSIP, you should have a strong foundation in signals and systems, digital electronics, and mathematics (especially linear algebra and probability). Programming proficiency in MATLAB and Python is highly recommended.

Graduates can work as Signal Processing Engineers, Computer Vision Specialists, DSP Firmware Developers, Multimedia Algorithm Designers, and R&D Engineers in sectors like telecommunications, medical imaging, autonomous driving, and defense electronics.

Yes. This is one of the most versatile and future-proof specializations. The world is becoming increasingly sensor-driven and visual. Expertise in extracting meaning from signals and images is critical for autonomous systems, AI, telemedicine, and next-generation communication networks.

Starting salary ranges from ₹9,00,000 to ₹18,00,000 per year depending on GATE score, proficiency in deep learning for computer vision, and the employer (global product companies and semiconductor firms offer top packages).

With experience, you can grow into roles like Principal Perception Architect, Head of Computer Vision, Director of AI (Vision), or lead advanced R&D programs in national laboratories and global technology corporations developing the next generation of seeing and sensing machines.

Kimba | Raisoni Education

Applications of admission are now
open for academic year 2026-2027

Apply Now