Computer Science (Artificial Intelligence)

Computer Science Engineering involves the study of computer systems, algorithms, programming languages, software development, and the design and analysis of computer hardware. Our extensive course equips students with problem-solving skills, adaptability, and a mastery of coding, making them ready to play a crucial role in shaping today’s technology-driven world. Additionally, our collaboration with IBM gives them an opportunity to specialize in Artificial Intelligence.

Program Highlights

  • Curriculum covers foundational concepts in computer science, algorithms, data structures, programming languages, computer architecture, and software engineering.
  • Emphasis on hands-on learning, with practical coding assignments and projects throughout the course.
  • Students are exposed to the latest innovation in technologies, programming languages, and software development tools.
  • Students participate in collaborative projects, with a strong emphasis on cultivating teamwork.
  • The program helps students develop strong problem-solving and analytical thinking skills.
  • Students are introduced to the fundamentals of AI, including machine learning, natural language processing, and neural networks.
  • Gain placement opportunities with IBM and partner companies.

Why Choose Computer Science Engineering?

  • High Demand: Computer Science Engineering graduates are high in demand as the field is rapidly evolving. There’s a wide range of lucrative career opportunities for them in the tech industry.
  • Versatile Jobs: Graduates have job opportunities in diverse fields, including finance, healthcare, entertainment, and more.
  • Global Opportunities: The skills gained from a Computer Science Engineering degree are in demand globally. Students can work for leading tech companies, startups, research institutions, or pursue entrepreneurship.
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Vision

Envisions to be recognized for quality education and research in the field of Computing, leading to creation of globally competent engineers, who are innovative and adaptable to the changing demands of industry and society.



Mission

1. Act as a nurturing ground for young computing aspirants to attain the excellence by imparting quality education.
2. Collaborate with industries and provide exposure to latest tools/ technologies.
3. Create an environment conducive for research and continuous learning.


Duration : 4 Years

Eligibility : Pass in 10+2 / Higher Secondary (HS) / Pre University (PUC) / 'A' Level (with 12 years of schooling) or its equivalent with English as one of the languages. Shall have secured a minimum of 45% marks in aggregate in Physics, Mathematics and any one of the following : Chemistry, Biology, Computer Science, Electronics. AIT admits students as per prevailing rules and regulations of VTU.

  • PEO1: Have a successful carrier in academia, R&D organizations, IT industry or pursue higher studies in specialized field of Computer Science & Engineering and allied disciplines.
  • PEO2:Be competent, creative and a valued professional in the chosen field
  • PEO3: Engage in life-long learning, professional development and adapt to the working environment quickly
  • PEO4: Become effective collaborators and exhibit high level of professionalism by leading or participating in addressing technical, business, environmental and societal challenges

  1. Engineering knowledge: Apply the knowledge of mathematics, science, engineering fundamentals, and an engineering specialization to the solution of complex engineering problems
  2. Problem analysis: Identify, formulate, review research literature, and analyze complex engineering problems reaching substantiated conclusions using first principles of mathematics, natural sciences, and engineering sciences
  3. Design/development of solutions: Design solutions for complex engineering problems and design system components or processes that meet the specified needs with appropriate consideration for the public health and safety, and the cultural, societal, and environmental considerations
  4. Conduct investigations of complex problems: Use research-based knowledge and research methods including design of experiments, analysis and interpretation of data, and synthesis of the information to provide valid conclusions
  5. Modern tool usage: Create, select, and apply appropriate techniques, resources, and modern engineering and IT tools including prediction and modeling to complex engineering activities with an understanding of the limitations
  6. The engineer and society: Apply reasoning informed by the contextual knowledge to assess societal, health, safety, legal and cultural issues and the consequent responsibilities relevant to the professional engineering practice
  7. Environment and sustainability: Understand the impact of the professional engineering solutions in societal and environmental contexts, and demonstrate the knowledge of, and need for sustainable development
  8. Ethics: Apply ethical principles and commit to professional ethics and responsibilities and norms of the engineering practice
  9. Individual and team work: Function effectively as an individual, and as a member or leader in diverse teams, and in multidisciplinary settings
  10. Communication: Communicate effectively on complex engineering activities with the engineering community and with society at large, such as, being able to comprehend and write effective reports and design documentation, make effective presentations, and give and receive clear instructions
  11. Project management and finance: Demonstrate knowledge and understanding of the engineering and management principles and apply these to one’s own work, as a member and leader in a team, to manage projects and in multidisciplinary environments
  12. Life-long learning: Recognize the need for, and have the preparation and ability to engage in independent and life-long learning in the broadest context of technological change

  • PSO1:Students shall apply the knowledge of hardware, system software, algorithms, networking and databases.
  • PSO2:Students shall design, analyze and develop efficient, Secure algorithms using appropriate data structures, databases for processing of data.
  • PSO3:Students shall be capable of developing stand alone, embedded and web-based solutions having an easy to operate interface using Software Engineering practices and contemporary computer programming languages.

FAQs

Computer Science Engineering is a department of Engineering domain that includes deep information about coding languages and software development. There are many universities that offer a Computer Science Engineering program, which combines technological and scientific aspects of computing.

It is possible to pursue a variety of exciting, diverse, and high-growth careers in the computer science field, from software development to cybersecurity. According to the latest estimates by various researchers, the number of computer scientists is expected to grow by 13% between 2020 and 2030.

A computer engineer is responsible for designing, building, and maintaining computers' hardware. Developing new technology requires the skills of an electrical engineer and a computer scientist. Their intention is to consolidate hardware and software expertly into one pooled system.

Pass in 10+2 / Higher Secondary (HS) / Pre University (PUC) / 'A' Level (with 12 years of schooling) or its equivalent with English as one of the languages. Shall have secured a minimum of 45% marks in aggregate in Physics, Mathematics and any one of the following : Chemistry, Biology, Computer Science, Electronics. AIT admits students as per prevailing rules and regulations of VTU.

After completing 12th Board exams with a minimum aggregate of 45% the students can apply for this programme at Acharya. Please click on the link below to join the programme: Apply Now