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Bachelor's Degree Engineering Full Time

Bachelor of Technology (B.Tech) in Computer Science & Engineering (CSE) with Specialization in Artificial Intelligence and Machine Learning (AI & ML)

at Kalinga Institute of Industrial Technology (KIIT) ยท India

Duration

4 Years

Intake

Fall, Spring

Mode

Full Time

Tuition

On request

About this program

The Bachelor of Technology (B.Tech) in Computer Science & Engineering (CSE) with Specialization in Artificial Intelligence and Machine Learning (AI & ML) at Kalinga Institute of Industrial Technology (KIIT) provides students with a robust foundation in computer science principles while delving into the revolutionary field of AI and ML. This course is meticulously designed to blend theoretical knowledge with practical applications, empowering graduates to tackle complex problems using cutting-edge technology.

The curriculum encompasses core subjects such as algorithms, data structures, software engineering, and database management, alongside specialized modules in AI and ML. Students learn to build intelligent systems capable of enhancing decision-making processes and automating tasks. Through hands-on projects, workshops, and exposure to real-world challenges, participants will acquire essential skills in programming, data analysis, and machine learning methodologies.

Studying this B.Tech program in the specified country offers unique advantages, including access to a vibrant tech ecosystem, a myriad of internship opportunities, and collaboration with industry leaders. The universityโ€™s strong emphasis on innovation and research prepares students for the fast-evolving tech landscape, ensuring they are industry-ready upon graduation.

Entry requirements

To be eligible for the B.Tech in Computer Science & Engineering with a specialization in AI & ML, students typically need to have completed their higher secondary education (12th grade) with a strong emphasis on subjects like Mathematics and Science. Additionally, a good understanding of programming concepts is beneficial.

English:

International students are generally required to demonstrate English language proficiency equivalent to IELTS band scores of 6.0 or TOEFL scores of around 80. It is advisable to check the specific English language requirements of the university.

International students:

International students must ensure they have the necessary documentation for securing a student visa. This usually includes a valid passport, admission letter from the university, proof of financial capability, and health insurance. It's essential for prospective students to verify the official visa application requirements based on their nationality and the destination country's guidelines.

Career outcomes

  • Machine Learning Engineer
  • Data Scientist
  • AI Research Scientist
  • Software Developer
  • Systems Analyst
  • AI Product Manager
  • Robotics Engineer

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