Programme Highlights
- The Engineering program at Chanakya University is meticulously crafted to offer students more than just technical proficiency. At its core, the curriculum integrates transformative elements such as internships and research training, aligning with our university’s mission to nurture well-rounded leaders and contribute to holistic development.
- Internships stand as a cornerstone, providing students with hands-on experience in their chosen fields. This practical exposure allows them to translate theoretical knowledge into real-world applications, fostering essential skills like problem-solving, adaptability, and a nuanced understanding of industry practices.
- Complementing this practical experience is the emphasis on research training. Here, students engage in meaningful projects, collaborating closely with faculty mentors to address intricate engineering challenges. This approach not only cultivates a spirit of objective inquiry but also nurtures thought leadership. Students are encouraged to apply interdisciplinary design principles, fostering innovative thinking that extends beyond traditional boundaries.
- Beyond technical expertise, our curriculum includes a rich blend of humanities, ethics, and cultural studies. This deliberate integration ensures that graduates emerge not only as competent engineers, but as complete individuals deeply connected to societal needs.
- In essence, the Engineering program at Chanakya University strives to produce graduates who are not just well-versed in their field but are also equipped with a holistic set of skills, perspectives, and values to make a meaningful impact in a dynamic and interconnected world.
- Year 1: Foundation in engineering sciences, mathematics, and ethics.
- Year 2: Domain-focused courses with integrated lab work.
- Year 3: Industry internships, electives in emerging tech, and innovation projects.
- Year 4: Capstone projects, entrepreneurial incubation, national & global exposure.
Sno | Category | Suggested break up of credits |
1 | Humanities and social sciences including management courses | 12 |
2 | Basic science courses + Mathematics | 18 |
3 | Engineering science courses first year | 9 |
4 | Professional core | 48 |
5 | Professional elective | 24 |
6 | Open electives | 17 |
7 | Project work | 12 |
8 | Non Credit Mandatory courses | Non-credit |
Total | 140 | |
Course Name | Credits |
Electrical Circuits and Networks | 3 |
Computer Organization and Design | 3 |
Data Structures and Algorithms | 3 |
Solid State Devices | 3 |
Microcontrollers and Embedded Systems | 3 |
Digital IC Design | 3 |
Signals and Systems | 3 |
Analog Systems | 3 |
Electromagnetic Fields | 3 |
Control Engineering | 3 |
Computer Networks | 3 |
Digital Signal Processing | 3 |
Embedded Systems Design | 3 |
VLSI Technology | 3 |
Communication Engineering | 3 |
Introduction to AI and ML | 3 |
| Engineering Core (48 Credits) | |||||
| Sl No | Course Name | L | T | P | Credits |
| 1 | Electrical Circuits and Networks | 2 | 0 | 1 | 3 |
| 2 | Analog Systems and Laboratory | 3 | 0 | 1 | 4 |
| 3 | Power Electronics | 3 | 0 | 0 | 3 |
| 4 | Communication Engineering | 3 | 0 | 0 | 3 |
| 5 | Power and Energy Engineering | 3 | 0 | 1 | 4 |
| 6 | Digital Signal Processing | 3 | 0 | 1 | 4 |
| 7 | Solid State Devices | 3 | 0 | 0 | 3 |
| 8 | Elecctromagnetic Fields | 3 | 0 | 0 | 3 |
| 9 | Data Structures and Algorithms | 2 | 0 | 1 | 3 |
| 10 | Analog Electronic Circuits | 2 | 0 | 1 | 3 |
| 11 | Computer Organisation and Architecture | 3 | 0 | 0 | 3 |
| 12 | Control Engineering | 3 | 0 | 0 | 3 |
| 13 | Embedded Systems Design and Laboratory | 2 | 0 | 1 | 3 |
| 14 | Introduction to Machine Learning | 2 | 0 | 1 | 3 |
| 15 | Microprocessors and controllers | 3 | 0 | 0 | 3 |
As an Electronics Engineering graduate with a specialization in VLSI (Very-Large-Scale Integration) and Embedded Systems, you have exciting career opportunities in India. Let’s explore some paths along with their average annual salary packages:
- VLSI Design Engineer:
- Role: Design and develop integrated circuits (ICs) using VLSI principles.
- Skills: Digital design, RTL coding, verification.
- Verification Engineer:
- Role: Verify and validate IC designs to ensure correctness.
- Skills: Verification methodologies (UVM, System Verilog), debugging.
- Physical Design Engineer:
- Role: Optimize IC layouts for performance, power, and area.
- Skills: Floor planning, placement, routing.
- ASIC/FPGA Design Engineer:
- Role: Work on Application-Specific Integrated Circuits (ASICs) or Field-Programmable Gate Arrays (FPGAs).
- Skills: HDL (Verilog/VHDL), synthesis, timing closure.
- R&D Engineer:
- Role: Contribute to research and innovation in VLSI and embedded systems.
- Skills: Problem-solving, algorithm development.
- Embedded Systems Engineer:
- Role: Develop software and firmware for embedded devices.
- Skills: C/C++, microcontrollers, real-time operating systems.
- Field Application Engineer (FAE):
- Role: Provide technical support to customers using embedded systems.
- Skills: Communication, troubleshooting.
- Product Development Engineer:
- Role: Work on end-to-end product development, including hardware and software.
- Skills: System architecture, prototyping.
Core engineering major along with minors:
Explore how combining a core engineering degree with specific minors can enhance your career path and influence typical salary packages. I’ll provide insights for each combination.
- Core Engineering Degree + VLSI and Embedded Systems Minor:
- Career Path:
- Become a VLSI Design Engineer or an Embedded Systems Engineer.
- Work on designing integrated circuits (ICs) or developing firmware for embedded devices.
- Skills:
- Digital electronics
- Verilog/VHDL
- Microcontrollers
- Career Path:
- Core Engineering Degree + Cyber Security Minor:
- Career Path:
- Become a Cybersecurity Analyst or a Network Security Engineer.
- Protect systems, networks, and data from cyber threats.
- Skills:
- Network security.
- Risk assessment.
- Ethical hacking
- Career Path:
- Core Engineering Degree + Data Science and Economics Minor:
- Career Path:
- Explore roles as a Data Scientist, Business Analyst, or Economic Analyst.
- Analyze data, extract insights, and make data-driven decisions.
- Skills:
- Data analysis
- Statistical modeling
- Economics fundamentals
- Career Path:
- Core Engineering Degree + Artificial Intelligence and Machine Learning Minor:
- Career Path:
- Become a Machine Learning Engineer, AI Researcher, or Data Scientist.
- Work on cutting-edge AI algorithms and applications.
- Skills:
- Python
- Machine learning frameworks (TensorFlow, PyTorch)
- Natural language processing (NLP)
- Career Path: