Master of Technology (M.Tech)
Program Outline Master of Technology (M.Tech) | |
Duration | 2 Years (4 Semesters) |
Campus | Ring Road (RR) Campus |
Affiliation | PES University |
Approval Body | UGC |
Admission Test | PES Entrance Test/ GATE/ PGCET |
The Master of Technology (M.Tech) program at PES University stands as a beacon of advanced education and specialization in the realm of engineering and technology. It represents a pivotal phase in the academic journey of aspiring engineers and technologists, providing them with a unique opportunity to immerse themselves in the intricacies of their chosen field.
This postgraduate program, spanning two years (4 semesters), serves as a crucible for nurturing the brightest minds in various domains, from computer science to electronics engineering.
It empowers students to transcend the boundaries of conventional knowledge, encouraging them to explore the uncharted territories of technology.
Our M.Tech program is distinguished by its comprehensive curriculum, blending theoretical foundations with hands-on practicality. Students engage in rigorous coursework, conduct cutting-edge live industry research, and get a chance to contribute to pioneering projects under the mentorship of our esteemed faculty members. This multifaceted approach equips our graduates with the skills and insights required to excel in an increasingly competitive and innovation-driven world.
As technology continues to reshape our lives and industries, the M.Tech program @ PES University serves as a gateway to promising careers, offering the potential for transformative advancements.
Key Differentiators
- Academic Excellence: Our M.Tech program stand out for their rigorous academic standards, distinguished faculty, and commitment to quality education.
- Paid Internship Opportunities: We offer attractive stipend for our students for the internships that they pursue during their final year of study with us.
- Industry Integration: Our M.Tech programs align closely with industry needs that provide students with valuable exposure to real-world challenges, internships, and industry partnerships, enhancing their employability.
- Research Opportunities: We offer robust research opportunities, allowing our M.Tech students to engage in cutting-edge live industry projects, collaborate with industry partners, and contribute to groundbreaking innovations.
- State-of-the-Art Facilities: Access to our modern labs, libraries, and technology infrastructure can be a significant differentiator, ensuring that students have the tools and resources necessary for their academic and research pursuits.
- Interdisciplinary Approach: Our programs encourage interdisciplinary learning allowing students to gain a broader perspective and the ability to tackle complex problems from various angles.
- Placements and Career Services: Our robust placement and career services is a major differentiator, helping students transition seamlessly from academia to their desired careers.
Specializations/ Domains
M.Tech in Computer Science Engineering (CSE)
- Cloud Computing
- Cybersecurity
- Machine Intelligence
M.Tech in Electronics and Communication Engineering (ECE)
- Signals and Systems
- Communication Systems
- VLSI Design
Curriculum Structure
Semester 1
Subjects | Credits |
---|---|
Computer Systems for Programmers | 4 |
Advanced Data Structures | 4 |
Scalable Computing | 4 |
Stochastic models and Machine Learning | 4 |
Cyber Security Essentials | 4 |
Special Topic – I | 2 |
Semester 2
Subjects | Credits |
---|---|
Topics in Advanced Algorithms * | 4 |
Distributed Computing | 4 |
Elective – I | 4 |
Elective – II | 4 |
Elective – III | 4 |
Special Topics – II | 2 |
Elective Options | |
Million Way Parallelism | 4 |
Speech and Natural Language Processing | 4 |
Topics in Computer and Network Security | 4 |
Advanced Cloud Computing | 4 |
Virtual Reality and its applications | 4 |
Software Security | 4 |
Advanced Big Data Analytics | 4 |
Deep Learning Theory and Practices | 4 |
Cryptography | 4 |
Semester 3
Subjects | Credits |
---|---|
Elective VI | 2 |
Project Work Phase I | 10 |
Elective VI | |
Machine Learning | 2 |
Data Communications | 2 |
Modeling, Design and Simulation of Power Electronic Systems | 2 |
Power Electronics in Renewable Energy and Transportation Systems | 2 |
Power Distribution Systems | 2 |
Power System Reliability | 2 |
Semester 4
Subjects | Credits |
---|---|
Project Work Phase II | 10 |
Special Topic-IV | 2 |
Semester 1
Subjects | Credits |
---|---|
Advanced Wireless Communication | 4 |
Advanced Embedded Systems | 4 |
Modern Digital Signal Processing | 4 |
Elective-I | |
Wireless Communication and Networks | 4 |
Analog VLSI | 4 |
Low Power VLSI Design | 4 |
Image and Video Processing | 4 |
Elective-II | |
Cryptography and Watermarking | 4 |
CMOS Memory Design and Testing | 4 |
Real Time Embedded Systems | 4 |
Speech and Audio Processing | 4 |
Soft Skills | 2 |
Semester 2
Subjects | Credits |
---|---|
Advanced Digital Design using Verilog and Verification | 4 |
Machine Learning Techniques | 4 |
Elective-III | |
Mapping Algorithm to Architecture | 4 |
Test and Debug of Analog and Digital Circuits | 4 |
Reinforcement Learning Applications (Common Elective for “Communication Systems” and “Signals and Systems”) domain) | 4 |
Elective-IV | |
Error Control Coding | 4 |
System On Chip Architecture | 4 |
Heterogeneous Computing | 4 |
Adaptive Signal Processing | 4 |
Elective-V | |
Optimization Techniques | 4 |
Radio Frequency Integrated Circuit Design | 4 |
RF and Optical Amplifier Design | 4 |
Robotics | 4 |
Research Methodology | 2 |
Semester 3
Subjects | Credits |
---|---|
Project Phase I | 10 |
Elective VI | |
Antenna theory | 2 |
Selected Topics in Reconfigurable Computing | 2 |
Formal Verification of Hardware Designs | 2 |
Micro-electro mechanical techniques and optics | 2 |
Deep learning | 2 |
Semester 4
Subjects | Credits |
---|---|
Project Phase II | 10 |
Elective VII | |
Antenna Design using simulation tools | 2 |
VLSI for DSP | 2 |
Post Silicon Validation | 2 |
High Speed Serial Interface Design | 2 |
Design and Implementation of RISC-V Microprocessor | 2 |
Digital Processing of Random Signals | 2 |
Recruiters
Placements
Opportunities in the corporate sector are made available for outgoing students during their final semester for which professional training is imparted. Students are expected to have good academic records to ensure a definite placement
Placements
Opportunities in the corporate sector are made available for outgoing students during their final semester for which professional training is imparted. Students are expected to have good academic records to ensure a definite placement
How to apply
See the eligibility criteria and important information for our programs
How to apply
See the eligibility criteria and important information for our undergraduate programs
Study at PES
Study at PES
Contact Us
Read our FAQs or contact us:
Ring Road Campus /
Electronic City Campus:
080-10-297297
Hanumanthanagar Campus:
+91 80 22429391
Contact Us
Read our FAQs or contact us:
Ring Road Campus /
Electronic City Campus:
080-10-297297
Hanumanthanagar Campus:
+91 80 22429391
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