Programme Highlights
The programs at Chanakya University stand out due to their unique features. They are characterized by a top-down, scientifically created curriculum that focuses on both depth of knowledge and experiential learning. The curriculum includes humanities and Indian Knowledge Systems to create holistic graduates. Students receive soft skill training woven into the technical curriculum, and internships and research training opportunities are integral, fostering innovative problem-solving and thought leadership. The program’s structure encourages students to be not just competent engineers but also well-connected, ethical individuals who are sensitive to societal needs.
The program structure at Chanakya University is thoughtfully designed, with a total of 140 credits. Key features include a strong emphasis on professional core courses, constituting 60% of the program, providing students with a solid foundation in their chosen field. The remaining 40% is dedicated to electives, including project work, offering students the flexibility to explore their interests and gain specialized knowledge. Alongside technical coursework, mandatory non-credit courses in areas like ethics, culture, and social service ensure holistic development. This well-balanced credit distribution equips students with a comprehensive education that combines core expertise, interdisciplinary learning, and personal growth.
| Engineering Core (48 Credits) | |||||
| Sl No | Course Name | L | T | P | Credits |
| 1 | Data Structures and Algorithms | 2 | 0 | 1 | 3 |
| 2 | Computer Organisation and Architecture | 3 | 0 | 0 | 3 |
| 3 | Theory of Computation (Formal Languages, Automata Theory) | 2 | 0 | 1 | 3 |
| 4 | Operating Systems | 3 | 0 | 0 | 3 |
| 5 | Design and Analysis of Algorithms | 2 | 0 | 1 | 3 |
| 6 | Database Management Systems | 2 | 0 | 1 | 3 |
| 7 | Introduction to Artificial Intelligence | 2 | 1 | 0 | 3 |
| 8 | Foundations of Machine Learning | 2 | 1 | 0 | 3 |
| 9 | Data Analytics | 2 | 1 | 0 | 3 |
| 10 | Deep Learning | 2 | 0 | 1 | 3 |
| 11 | Computer Vision | 2 | 0 | 1 | 3 |
| 12 | Robotics | 2 | 0 | 1 | 3 |
| 13 | Natural language Processing | 2 | 0 | 1 | 3 |
| 14 | ML Engineering | 3 | 0 | 0 | 3 |
| 15 | Generative AI | 2 | 0 | 1 | 3 |
| 16 | Mathematical Optimization | 3 | 0 | 0 | 3 |
Computer Science Career Paths:
- Software Developer:
- Role: Create software applications and programs.
- Skills: Programming languages, problem-solving, organizational skills.
- Software Engineer:
- Role: Develop software solutions using languages like C++, Java, or Python.
- Skills: Coding, communication, teamwork.
- Database Administrator:
- Role: Manage and supervise databases.
- Skills: Attention to detail, analytical reasoning, communication.
- Cloud Solutions Architect:
- Role: Design and implement cloud-based solutions.
- Skills: Cloud services, architecture.
- Cybersecurity Analyst:
- Role: Protect systems and data from cyber threats.
- Skills: Network security, risk assessment.
Artificial Intelligence Career Paths:
- Machine Learning Engineer:
- Role: Develop and optimize machine learning models.
- Skills: Data science, programming, statistical analysis.
- Data Scientist:
- Role: Analyze large datasets to extract insights.
- Skills: Machine learning, data visualization.
- AI Research Scientist:
- Role: Conduct research in AI and develop innovative solutions.
- Skills: Strong theoretical knowledge, research abilities.
- Natural Language Processing (NLP) Engineer:
- Role: Work on language technologies, chatbots, and sentiment analysis.
- Skills: NLP, programming.
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: