School of Engineering

Chanakya University > Schools > School of Engineering > Academics  

Computer Science and Artificial  Intelligence 

School
Academics

Eligibility Criteria  

The student should have scored 65% and above in PCM combination in 12th std. / PUC
And any of these:

  • Joint Entrance Examination (JEE) with score of 60 percentile and above.
  • Comedk Entrance Examination with a valid rank.
  • KCET rank as per the KEA cutoff applicable for the year 2025.

The engineering program at Chanakya University is designed to provide students with a well-rounded education that extends beyond technical knowledge. Internships and research training are integral components of the curriculum, aligning with the university's mission to develop transformative leaders and create knowledge for holistic development. Internships offer students the opportunity to gain practical experience in their chosen field, allowing them to apply classroom learning to real-world situations. These experiences help students develop problem-solving skills, adaptability, and an understanding of industry practices. Research training is another key aspect of the program, fostering a spirit of objective inquiry and thought leadership. Students engage in research projects, working closely with faculty mentors to address complex engineering challenges. This hands-on approach encourages them to apply interdisciplinary design principles and think innovatively. Combined with a comprehensive curriculum that includes humanities, ethics, and cultural studies, these experiences empower graduates to be not only competent engineers but also complete human beings who are well-connected to society and its needs.

Apply Now

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

Computer Organisation and Design

Data Structures and Algorithms

Database Management Systems

Mathematical Optimisation

Introduction to AI & ML

Foundations of Machine Learning

Deep Learning

Natural Language Processing

Generative AI

Design Thinking with AI

Computer Vision

AI ML Systems

Responsible AI

Data Analytics

  • Computer Science and Engineering
  • Computer Science and Artificial Intelligence
  • Electronics Engineering (VLSI and Embedded Systems)
  • Electrical Engineering and Computer Science
  • Mechanical and Aerospace Engineering
  • Civil Construction and Sustainability
  • Biotechnology and Bioengineering

Computer Science Career Paths:

  1. Software Developer:
    • Role: Create software applications and programs.
    • Skills: Programming languages, problem-solving, organizational skills.
  2. Software Engineer:
    • Role: Develop software solutions using languages like C++, Java, or Python.
    • Skills: Coding, communication, teamwork.
  3. Database Administrator:
    • Role: Manage and supervise databases.
    • Skills: Attention to detail, analytical reasoning, communication.
  4. Cloud Solutions Architect:
    • Role: Design and implement cloud-based solutions.
    • Skills: Cloud services, architecture.
  5. Cybersecurity Analyst:
    • Role: Protect systems and data from cyber threats.
    • Skills: Network security, risk assessment.

Artificial Intelligence Career Paths:

  1. Machine Learning Engineer:
    • Role: Develop and optimize machine learning models.
    • Skills: Data science, programming, statistical analysis.
  2. Data Scientist:
    • Role: Analyze large datasets to extract insights.
    • Skills: Machine learning, data visualization.
  3. AI Research Scientist:
    • Role: Conduct research in AI and develop innovative solutions.
    • Skills: Strong theoretical knowledge, research abilities.
  4. 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.

  1. 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
  2. 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
  3. 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
  4. 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)

Join our
purpose

Join hand with us today! Extend your support to develop Global Vision.

Support Chanakya

Choose Chanakya for Learning through Experience for a Life of Excellence.

Apply as Student

Join us to lead a Culture of Learning and Leadership.

Apply as faculty