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Artificial Intelligence and Machine Learning

at Prathyusha Engineering College · India

Duration

—

Intake

Fall, Spring

Mode

Full Time

About this program

The Artificial Intelligence and Machine Learning degree at Prathyusha Engineering College is designed to provide students with a thorough understanding of AI concepts and methodologies. The course covers critical areas such as machine learning algorithms, natural language processing, robotics, and computer vision. Students will develop problem-solving skills through theoretical knowledge as well as practical applications, essential for navigating the evolving technological landscape.

The curriculum blends foundational courses with specialized modules, enabling students to explore areas such as deep learning, data mining, and intelligent systems. Hands-on experience is facilitated through projects and internships, allowing students to apply their knowledge in real-world situations. This practical approach not only enhances learning but also prepares graduates for immediate employment.

Studying in the dynamic environment of the destination country will expose students to a vibrant tech industry and multicultural atmosphere. This enriched experience fosters innovation and creativity, equipping students with a global perspective in technology. Furthermore, international students will benefit from collaborations and networking opportunities with leading tech companies.

Entry requirements

Typical academic prerequisites include a high school diploma with strong grades in mathematics and science, and relevant coursework in computing or technology.
English: Students are expected to demonstrate English proficiency equivalent to IELTS 6.0 or TOEFL 80, with specific section scores required; please consult the university for details.
International students: International students should check the visa requirements and ensure they have necessary documents such as valid passport, admission letter, and proof of financial stability to study in the destination country.

Career outcomes

  • Machine Learning Engineer
  • Data Scientist
  • AI Research Scientist
  • Robotics Engineer
  • Software Developer with AI focus
  • Business Intelligence Analyst

How this course compares

  • It lists 5 Computer Science & IT courses in total.

Frequently asked questions

When does the course start?

Intakes are in Fall, Spring.

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