Q1. What is the difference between Computer Science & Engineering and Artificial Intelligence & Machine Learning specialization?

Ans. Computer Science & Engineering covers a broad range of topics including algorithms, software development, and computer architecture, while the specialization in Artificial Intelligence & Machine Learning focuses specifically on advanced techniques for building intelligent systems that can learn from data.

Q2. What prerequisites are required for this program?

Ans. While there are no specific prerequisites, a strong foundation in mathematics, programming, and computer science fundamentals is beneficial. Students should have a passion for technology and a desire to explore the field of artificial intelligence and machine learning.

Q3. What kind of hands-on experience can I expect in this program?

Ans. The program includes laboratory sessions, projects, and internships where students will gain practical experience in implementing AI and ML algorithms, working with real-world datasets, and solving complex problems using cutting-edge technologies.

Q4. How will this program prepare me for a career in AI and ML?

Ans. The curriculum is designed in collaboration with industry experts to ensure that students develop the necessary skills and knowledge required for careers in AI and ML. Courses cover theoretical concepts, practical applications, and emerging trends in the field.

Q5. What are the research opportunities available in this program?

Ans. Students have the opportunity to engage in research projects, seminars, and workshops conducted by faculty members who are actively involved in AI and ML research. Additionally, students can collaborate with industry partners on research initiatives.

Q6. Can I specialize in specific areas of AI and ML?

Ans. Yes, the program offers elective courses and specialization tracks in areas such as deep learning, natural language processing, computer vision, robotics, and more. Students can tailor their coursework to align with their interests and career goals.

Q7. Are there opportunities for industry exposure and internships?

Ans. Yes, students are encouraged to participate in internships with industry partners to gain hands-on experience and practical skills. The program also organizes guest lectures, industry visits, and networking events to facilitate industry connections.

Q8. What support services are available for students in this program?

Ans. The program provides academic advising, career counseling, and mentorship to help students succeed academically and professionally. Additionally, students have access to state-of-the-art facilities, resources, and research opportunities within the department and university.