Master's Degree Engineering Full Time

M.Tech. Computer Science and Engineering (Artificial Intelligence and Machine Learning)

at Assam Down Town University · India

Duration

2 Years

Intake

Fall, Spring

Mode

Full Time

Tuition

On request

About this program

The Master of Technology (M.Tech) in Computer Science and Engineering with a specialization in Artificial Intelligence and Machine Learning at Assam Down Town University offers an in-depth exploration into the latest advancements in technology. This course is designed to equip students with a strong foundation in AI and ML, enabling them to build intelligent systems that can learn from data and make informed decisions.

The curriculum covers a wide range of topics including algorithms, data structures, intelligent systems, neural networks, natural language processing, and deep learning. Students will engage in both theoretical coursework and practical projects that encourage innovation and problem-solving. The program combines lectures, lab sessions, and collaborative projects, resulting in a well-rounded educational experience.

Graduates of this program will possess not only technical skills but also critical thinking and analytical capabilities, making them highly valuable in today's job market. By studying in a culturally rich and diverse environment, students will also gain unique insights into global perspectives on technology and business.

Entry requirements

To be eligible for the M.Tech in Computer Science and Engineering program, candidates typically need to hold a Bachelor's degree in Computer Science, Information Technology, or a related field. A strong understanding of programming languages, algorithms, and data structures is essential. Admission may also require a qualifying examination or interview.

English:

International students are generally expected to demonstrate proficiency in English through standardized tests like IELTS or TOEFL. Typically, a minimum score of 6.5 in IELTS or 80 in TOEFL is recommended to ensure adequate communication skills for success in the program.

International students:

International students must obtain a valid student visa to study in the destination country. Required documents usually include a valid passport, proof of admission to the university, financial statements, and health insurance. It is crucial for students to check the official visa requirements for specifics and any additional documentation that may be needed.