Should I do btech in ai ml in ipu adgtim college

Ans: It's great that you're considering a career in AI and ML. While a strong foundation in mathematics is important for these fields, it's not the end of the road if your math skills need improvement. Here are a few points to consider:

Focus on Fundamentals: Strengthen your understanding of key mathematical concepts, especially linear algebra, calculus, and probability. There are many online resources and tutorials that can help you improve.

Supportive Environment: Look for a BTech program that offers good support for students, such as tutoring or extra help sessions. Some universities also provide foundation courses to help bridge any gaps.

Passion and Interest: If you have a strong interest in AI and ML, your passion can motivate you to overcome challenges. Being curious and willing to learn can make a big difference.

Practical Experience: Engage in hands-on projects, internships, and practical work. Often, applying concepts in real-world scenarios helps in better understanding and overcoming theoretical difficulties.

AI and ML are fast-evolving fields. You can continue to learn and improve your skills throughout your career, even beyond your BTech program.

It's important to believe in your ability to improve and grow. If you're determined and willing to put in the effort, you can succeed in AI and ML. Best of Luck

Ans: Kritika, Indira Gandhi Delhi Technical University for Women (IGDTUW) is India’s only government technical women’s, accredited A+ by NAAC and ranked 151–200 in NIRF 2024 for engineering.

The M.Tech in Computer Science & Engineering (Artificial Intelligence and Data Science) delivers an outcome-based curriculum covering Python programming, machine learning, deep learning, NLP, cloud AI platforms and capstone projects through the Centre of Excellence in AI, supported by PARAM supercomputers, industry-oriented labs and active MoUs with AI firms . Faculty are research-active with MeitY-funded projects and national-level publications. The 2024 placement rate for this branch was 66.7% (10 of 15 students), with an average package of ?13.8 LPA and top recruiters across tech sectors .

The M.Tech in Information Technology (Cyber Security) emphasizes vulnerability assessment, cryptography, intrusion detection, secure software engineering and forensic computing, taught in advanced cybersecurity and networking labs. Faculty include industry practitioners and academic researchers, with collaboration with C-DAC and CISCO. Though branch-wise placement data for IT is not separately published, the overall M.Tech placement rate at IGDTUW was 69.3% in 2024, and the department achieved an 80% internship-to-placement ratio across PG cohorts .

Both programmes uphold critical institutional benchmarks—AICTE approval, NBA-aligned syllabi, modern infrastructure, strong faculty credentials, outcome-based pedagogy and robust placement support—ensuring comprehensive academic and professional development for women engineers. The AI/ML specialisation offers deeper alignment with global AI research trends and data-driven roles, while the IT stream provides niche expertise in cybersecurity, a fast-growing domain with rising demand for security professionals.

Recommendation
M.Tech in Artificial Intelligence & Data Science at IGDTUW is the stronger choice for a career centred on AI research, data science roles and high-impact technological innovation given its specialized labs and dedicated COE support; the IT (Cyber Security) programme is an excellent alternative for those aiming at cybersecurity leadership and risk management careers. All the BEST for a Prosperous Future!

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