.png&w=1920&q=75)
M-TECH in Embedded Systems at GITAM, Gandhi Institute of Technology and Management
Visakhapatnam, Andhra Pradesh
.png&w=1920&q=75)
About the Specialization
What is Embedded Systems at GITAM, Gandhi Institute of Technology and Management Visakhapatnam?
This M.Tech in Embedded Systems program at Gandhi Institute of Technology and Management, Visakhapatnam, focuses on the design, development, and integration of hardware and software components for dedicated computer systems. It addresses the growing demand for specialized engineers in areas like IoT, real-time operating systems, and advanced microcontrollers, critical for India''''s rapidly evolving electronics manufacturing and digital infrastructure. The curriculum emphasizes practical skills and theoretical knowledge essential for creating smart and efficient embedded solutions.
Who Should Apply?
This program is ideal for engineering graduates with a B.E./B.Tech in ECE, EEE, EIE, CSE, or related fields, seeking to specialize in embedded technologies. It also caters to working professionals aiming to upskill and gain expertise in designing smart devices, IoT systems, and real-time applications. Freshers looking for a strong foundation in hardware-software co-design and experienced engineers desiring to transition into cutting-edge embedded domains will find this program highly beneficial.
Why Choose This Course?
Graduates of this program can expect diverse career paths in India as Embedded Software Engineers, IoT Solution Architects, Firmware Developers, VLSI Design Engineers, or R&D specialists in automotive, consumer electronics, and healthcare sectors. Entry-level salaries typically range from INR 4-7 LPA, growing significantly with experience. Opportunities abound in major Indian tech hubs like Bengaluru, Hyderabad, and Pune, with companies continuously seeking talent to drive innovation in product development and automation.
Student Success Practices
Foundation Stage
Master Core Embedded Fundamentals- (Semester 1)
Dedicate significant time to understanding the basics of digital logic, microcontrollers (like ARM), C/C++ programming for embedded systems, and foundational concepts of embedded systems. Utilize platforms like NPTEL, Coursera, and edX for supplementary learning and practice on simulation tools like Proteus or Keil μVision.
Tools & Resources
NPTEL courses, Keil μVision, Proteus simulator, C/C++ programming tutorials
Career Connection
A strong foundation in these areas is crucial for excelling in technical interviews for embedded software/hardware roles and forms the bedrock for advanced specialization.
Active Participation in Lab Sessions- (Semester 1)
Engage proactively in all lab sessions for Embedded System Design and Research/IPR. Focus on hands-on implementation of circuit designs, microcontroller programming, and interfacing peripherals. Document all experiments meticulously and understand the ''''why'''' behind each step, not just the ''''how''''.
Tools & Resources
Microcontroller development boards (e.g., Arduino, ESP32), Oscilloscopes, Logic analyzers, Lab manuals
Career Connection
Practical experience gained in labs directly translates to job readiness, demonstrating problem-solving skills and proficiency in using industry-standard tools.
Build a Portfolio of Mini-Projects- (Semester 1)
Beyond coursework, start building small, functional embedded projects using microcontrollers. This could include simple sensor interfaces, LED controllers, or basic IoT applications. Document your code and hardware designs on platforms like GitHub to showcase your practical abilities.
Tools & Resources
GitHub, Hackster.io, Instructables, Low-cost development boards
Career Connection
A personal project portfolio is a significant asset during placements, providing tangible evidence of your skills and passion for embedded systems.
Intermediate Stage
Deep Dive into RTOS and IoT Architectures- (Semester 2)
Focus on understanding Real-Time Operating Systems (RTOS) deeply, including task scheduling, inter-task communication, and memory management. Simultaneously, explore IoT architectures, cloud platforms (AWS IoT, Azure IoT), and common IoT protocols. Implement projects involving these concepts using development kits.
Tools & Resources
FreeRTOS documentation, AWS IoT / Azure IoT developer guides, MQTT client tools, ESP32/Raspberry Pi boards
Career Connection
Expertise in RTOS and IoT is highly sought after for roles in industrial automation, smart devices, and connected systems, offering lucrative opportunities in the growing Indian IoT market.
Engage in Interdisciplinary Projects and Hackathons- (Semester 2)
Collaborate with peers from other engineering disciplines (e.g., CSE for cloud backend, Mechanical for robotics) on projects. Participate in hackathons and coding competitions focused on embedded systems or IoT challenges. This fosters teamwork and exposes you to real-world problem statements.
Tools & Resources
College project groups, Online hackathon platforms, Inter-departmental workshops
Career Connection
Interdisciplinary project experience and hackathon participation enhance problem-solving, innovation, and teamwork skills, critical for product development teams in Indian tech companies.
Pursue an Early Internship or Research Project- (Semester 2)
Actively seek out internships in embedded companies or research projects with faculty. Even a short-term engagement provides invaluable industry exposure, networking opportunities, and a chance to apply academic knowledge in a professional setting. Target local startups or R&D divisions.
Tools & Resources
LinkedIn, Internshala, College placement cell, Faculty research labs
Career Connection
Internships are often a direct pathway to pre-placement offers and provide a competitive edge by demonstrating industry relevance and practical experience to potential employers.
Advanced Stage
Specialized Dissertation and Publication- (Semesters 3-4)
Choose a dissertation topic that aligns with your specialization interests (e.g., edge AI, secure IoT, advanced control for embedded). Conduct thorough research, implement innovative solutions, and strive to publish your work in reputed conferences or journals. This showcases deep expertise.
Tools & Resources
IEEE Xplore, SpringerLink, ResearchGate, LaTeX for thesis writing
Career Connection
A strong dissertation and publication record significantly boosts your profile for R&D roles, academic positions, and opportunities in advanced technology companies.
Intensive Placement Preparation and Skill Refinement- (Semesters 3-4)
Dedicate time to mock interviews, aptitude test preparation, and resume building. Focus on refining your communication skills and ability to articulate project experiences clearly. Identify target companies and understand their specific technical requirements in embedded systems.
Tools & Resources
Placement cell resources, Online coding platforms (e.g., LeetCode for problem-solving), Company-specific interview guides
Career Connection
Thorough preparation is paramount for securing desired placements in top-tier companies, ensuring you can effectively demonstrate your skills and fit for the role.
Network and Engage with Industry Professionals- (Semesters 3-4)
Attend industry seminars, workshops, and tech meetups (online or offline) to network with professionals in the embedded systems domain. Leverage platforms like LinkedIn to connect with alumni and industry leaders, seeking mentorship and insights into career trajectories and emerging trends.
Tools & Resources
LinkedIn, Professional conferences (e.g., Embedded World, IoT India Expo), Alumni network events
Career Connection
Networking opens doors to hidden job opportunities, valuable career guidance, and stays current with industry demands, significantly boosting your long-term career growth in India''''s competitive tech landscape.
Program Structure and Curriculum
Eligibility:
- A pass in B.E./B.Tech. in ECE / EEE / EIE / Instrumentation / CSE / IT and other relevant branches / AMIE / AMIETE with a minimum of 50% marks or equivalent CGPA and score obtained in GAT (PGT) / GATE.
Duration: 4 semesters / 2 years
Credits: 73 Credits
Assessment: Internal: 40%, External: 60%
Semester-wise Curriculum Table
Semester 1
| Subject Code | Subject Name | Subject Type | Credits | Key Topics |
|---|---|---|---|---|
| GEC101 | Research Methodology and IPR | Core | 3 | Research Problem Formulation, Research Design and Data Collection, Data Analysis and Interpretation, Research Report Writing, Intellectual Property Rights |
| GES101 | Advanced Digital System Design | Core | 3 | Digital Logic Design Fundamentals, Combinational and Sequential Logic, HDL (Verilog) for Digital Design, FPGA and CPLD Architectures, Fault Detection and Testability |
| GES103 | Microcontrollers and Processors | Core | 3 | 8051 Microcontroller Architecture, ARM Processor Fundamentals, Instruction Set and Addressing Modes, Interrupts, Timers, and Serial Communication, Memory and I/O Interfacing |
| GES105 | Embedded System Concepts | Core | 3 | Introduction to Embedded Systems, Embedded Hardware Components, Sensors, Actuators, and I/O Devices, Embedded Software Development Tools, Debugging and Testing Techniques |
| GES107 | VLSI Technology | Elective I | 3 | VLSI Design Flow, CMOS Fabrication Technology, MOS Transistor Theory, CMOS Inverter and Logic Gates, Layout Design and Simulation |
| GES108 | Data Communication and Computer Networks | Elective I | 3 | Network Topologies and Protocols, OSI and TCP/IP Models, Data Link Layer Protocols, Network Layer (IP, Routing), Transport Layer (TCP, UDP) |
| GES109 | Digital System Design with HDL | Elective I | 3 | Verilog HDL Syntax and Structure, Modeling Combinational Logic, Modeling Sequential Logic, Testbenches and Simulation, Synthesis and FPGA Implementation |
| GES110 | Digital Signal Processors and Architectures | Elective I | 3 | DSP System Fundamentals, DSP Processor Architectures, Fixed and Floating Point DSPs, Memory Architectures in DSPs, TMS320C5x/C6x Processors |
| GES111 | Advanced Control Systems | Elective I | 3 | State Space Analysis, Controllability and Observability, State Feedback Control, Observers and Compensators, Nonlinear Control Systems |
| GES112 | Computer Organization and Architecture | Elective I | 3 | Basic Computer Functions, Instruction Sets and Addressing, CPU Design and Pipelining, Memory Hierarchy and Cache, I/O Organization |
| GES121 | Embedded System Design Lab | Lab | 2 | Microcontroller Interfacing, Sensor and Actuator Control, Serial Communication Protocols, RTOS Task Management, Debugging Embedded Applications |
| GEC121 | Research and IPR Lab | Lab | 2 | Literature Review Tools, Statistical Software Application, Technical Report Writing, Patent Search and Analysis, Presentation Skills Development |
Semester 2
| Subject Code | Subject Name | Subject Type | Credits | Key Topics |
|---|---|---|---|---|
| GES102 | Real-Time Operating Systems | Core | 3 | RTOS Concepts and Architecture, Tasks, Processes and Threads, Inter-Task Communication and Synchronization, Scheduling Algorithms, Memory Management in RTOS |
| GES104 | Embedded Processors | Core | 3 | ARM Processor Architecture, DSP Processors and Controllers, RISC vs CISC Architectures, Memory System Design, Instruction Pipelining and Performance |
| GES106 | Design of Internet of Things | Core | 3 | IoT Architecture and Protocols, IoT Sensors, Actuators, and Gateways, Edge and Cloud Computing for IoT, IoT Security and Privacy, IoT Application Development |
| GES113 | Hardware Software Co-Design | Elective II | 3 | Co-Design Methodologies, Hardware-Software Partitioning, Co-Simulation and Emulation, Interface Design and Synthesis, System Level Design and Optimization |
| GES114 | Advanced Computer Architecture | Elective II | 3 | Pipelining and Parallelism, Superscalar Processors, Vector Processors, Multiprocessors and Multi-Core Architectures, Memory Consistency and Cache Coherence |
| GES115 | Network Security and Cryptography | Elective II | 3 | Cryptography Fundamentals, Symmetric Key Cryptography, Asymmetric Key Cryptography, Digital Signatures and Certificates, Network Security Protocols (SSL, TLS, IPsec) |
| GES116 | Image and Video Processing | Elective II | 3 | Digital Image Fundamentals, Image Enhancement and Restoration, Image Segmentation, Feature Extraction and Recognition, Video Processing Concepts |
| GES117 | MEMS | Elective II | 3 | MEMS Materials and Fabrication, Micro-machining Techniques, MEMS Sensors and Actuators, Electrostatic, Thermal, and Piezoelectric Transducers, Applications of MEMS |
| GES118 | Machine Learning | Elective II | 3 | Introduction to Machine Learning, Supervised Learning (Regression, Classification), Unsupervised Learning (Clustering), Deep Learning Fundamentals, Model Evaluation and Optimization |
| GES122 | Advanced Microcontrollers Lab | Lab | 2 | ARM Microcontroller Programming, Advanced Peripheral Interfacing, RTOS Integration in Projects, Embedded Linux Application Development, System Debugging and Profiling |
| GES124 | IoT Design Lab | Lab | 2 | IoT Sensor Data Acquisition, Cloud Platform Integration (AWS IoT, Azure IoT), MQTT and CoAP Protocol Implementation, IoT Device Programming (ESP32, Raspberry Pi), IoT Data Visualization and Analysis |
Semester 3
| Subject Code | Subject Name | Subject Type | Credits | Key Topics |
|---|---|---|---|---|
| GES201 | Embedded Networking | Core | 3 | Network Protocols (TCP/IP, UDP), Wireless Protocols (Wi-Fi, Bluetooth, Zigbee), CAN, LIN, FlexRay Bus Systems, Ethernet for Embedded Systems, Network Security in Embedded Systems |
| GES203 | Low Power VLSI Design | Elective III | 3 | Sources of Power Dissipation in CMOS, Low Power Design Techniques, Voltage and Frequency Scaling, Power Estimation and Optimization, Battery-aware Design |
| GES204 | Wireless Sensor Networks | Elective III | 3 | WSN Architecture and Applications, Sensor Node Hardware and Software, MAC Protocols for WSN, Routing Protocols in WSN, Security and QoS in WSN |
| GES205 | Artificial Intelligence and Deep Learning | Elective III | 3 | AI Fundamentals and Problem Solving, Search Algorithms in AI, Neural Networks and Deep Learning, Convolutional Neural Networks (CNN), Recurrent Neural Networks (RNN) |
| GES206 | FPGA Based Embedded System Design | Elective III | 3 | FPGA Architectures and Design Flow, HDL for FPGA Design, Soft-core Processors (MicroBlaze, Nios II), Custom Peripheral Development, Embedded Linux on FPGAs |
| GES207 | System On Chip Design | Elective III | 3 | SoC Design Methodologies, Processor Cores and IP Integration, On-Chip Communication Architectures (NoC), Memory and Cache Management, Verification and Testing of SoC |
| GES208 | Robotics and Automation | Elective III | 3 | Robot Kinematics and Dynamics, Robot Control Systems, Sensors for Robotics, Robot Vision, Industrial Automation and Applications |
| GOE201 | Business Analytics | Open Elective | 3 | Introduction to Business Analytics, Data Collection and Preparation, Descriptive and Predictive Analytics, Data Visualization, Decision Making with Analytics |
| GOE202 | Industrial Safety | Open Elective | 3 | Safety Management Systems, Hazard Identification and Risk Assessment, Personal Protective Equipment, Fire Safety and Emergency Preparedness, Occupational Health and Hygiene |
| GOE203 | Operations Research | Open Elective | 3 | Linear Programming, Simplex Method, Transportation and Assignment Problems, Network Models, Queuing Theory |
| GOE204 | Cost Management of Engineering Projects | Open Elective | 3 | Project Cost Estimation, Budgeting and Cost Control, Financial Analysis for Projects, Risk Management in Projects, Contract Management |
| GOE205 | Composite Materials | Open Elective | 3 | Introduction to Composite Materials, Fibers and Matrix Materials, Manufacturing Processes, Mechanical Properties of Composites, Applications of Composites |
| GOE206 | Waste to Energy | Open Elective | 3 | Waste Generation and Characteristics, Waste Treatment Technologies, Energy Recovery from Waste, Incineration and Gasification, Biomethanation and Pyrolysis |
| GOE207 | Cyber Physical Systems | Open Elective | 3 | Introduction to CPS, Modeling and Analysis of CPS, Sensors and Actuators in CPS, Networking and Communication in CPS, Security and Privacy in CPS |
| GOE208 | Smart Sensors | Open Elective | 3 | Sensor Principles and Characteristics, Smart Sensor Architectures, Microcontrollers for Smart Sensors, Signal Conditioning and Data Conversion, Wireless Sensor Technologies |
| GOE209 | Artificial Neural Networks | Open Elective | 3 | Biological and Artificial Neurons, Perceptron and Multi-layer Perceptron, Backpropagation Algorithm, Activation Functions and Regularization, Applications of ANNs |
| GES241 | Dissertation Phase I | Project | 8 | Research Problem Identification, Literature Review and Survey, Methodology and Design Specification, Preliminary Implementation Planning, Mid-term Progress Reporting |
| GES243 | Seminar | Seminar | 2 | Topic Selection and Research, Literature Synthesis and Analysis, Presentation Preparation, Effective Communication Skills, Handling Q&A Sessions |
Semester 4
| Subject Code | Subject Name | Subject Type | Credits | Key Topics |
|---|---|---|---|---|
| GES242 | Dissertation Phase II | Project | 16 | Detailed System Implementation, Experimental Setup and Data Collection, Result Analysis and Interpretation, Technical Report Writing, Project Defense and Presentation |
