FAQ's

Generally, a B.Tech or equivalent degree in a related field with a minimum of 50% marks is required. 

This program typically takes 2 years to complete, divided into 4 semesters.

Topics include Artificial Intelligence, Machine Learning, Data Science, Algorithms, Cloud Computing, and more. These are highly relevant to current industry trends.

Yes, graduates are in high demand in sectors like IT, AI, and data analysis, as the industry seeks advanced technical skills.

Yes, M.Tech graduates can pursue a Ph.D. in specialized fields within computer science or related interdisciplinary research.

Graduates can work as Data Scientists, Software Engineers, AI Researchers, Machine Learning Engineers, and in various IT management roles.

Fresh graduates typically earn between INR 5 to 12 lakhs per annum, depending on their skills, location, and company.

Yes, many programs include internships or project work to provide industry exposure and practical experience.

Absolutely, it builds a strong foundation for research, especially if you want to work in fields like AI, big data, or robotics.

Yes, many M.Tech graduates find opportunities abroad, particularly in tech hubs like the USA, Germany, and Canada.

Many institutions offer scholarships based on academic performance,or financial need.

Some universities offer part-time or online M.Tech programs, ideal for working professionals.

Students learn advanced programming in languages like Python, Java, and tools for AI, data science, and software development.

Yes, the skills are versatile, enabling transitions into fields like data science, AI, finance tech, or cybersecurity.

Yes, the curriculum is often project-based, promoting hands-on experience in solving real-world tech challenges.

Many programs include seminars, industry events, and workshops that offer networking opportunities with professionals.

It provides in-depth knowledge, boosts career prospects, and opens doors to high-paying, tech-oriented positions.

Yes, the course combines theory with practical projects, lab work, and internships to ensure applied learning.

Yes, you’ll complete core subjects in the first year and may select electives for specialization in the second year.

Yes, industry-based projects are included, allowing you to gain hands-on experience and apply learned skills.

The first year covers core subjects like data structures, machine learning, and software engineering for foundational understanding.

Yes, the second year allows specialization in areas like AI, cybersecurity, or data science to match your career goals.

Yes, the curriculum includes research methods and project management to support research-oriented careers.

Yes, students usually complete a thesis or major project in their final semester, demonstrating their expertise.