Amity University-Noida B.Tech Admissions 2026
ApplyAmong top 100 Universities Globally in the Times Higher Education (THE) Interdisciplinary Science Rankings 2026
Total Fees 8.17 L | Exam CUET PG |
₹ 8.17 L
MODE
Full timeDURATION
24 MonthsThe M.Tech Computer Science & Engineering (Data Science) program offered by UPES School of Computer Science is designed to equip students with a comprehensive understanding of data science and its applications. The curriculum encompasses a diverse range of topics, including machine learning, deep learning, big data analytics, data visualization, business intelligence, and generative AI. By exploring these subjects, students develop a strong foundation in the field, preparing them to address complex data-driven challenges effectively. A distinctive aspect of the program is its emphasis on practical learning. Through real-world projects, hands-on labs, and experiential case studies, students gain valuable experience in applying theoretical concepts to real-world scenarios. The curriculum is meticulously curated to align with the latest industry trends, ensuring that graduates are proficient in utilizing advanced tools and technologies such as TensorFlow, PyTorch, Apache Spark, and Scikit-learn.
The program’s commitment to industry integration is reflected in its on-the-job training opportunities. Collaborations with leading organizations provide students with internships, live projects, and corporate training programs that bridge the gap between academic learning and industry expectations. This exposure enables students to develop the problem-solving abilities and technical expertise required in today’s data-driven landscape. Students benefit from regular interactions with industry leaders, data scientists, and domain experts through expert sessions, workshops, and panel discussions. Additionally, participation in global hackathons, AI challenges, and data science competitions fosters a culture of innovation and hands-on learning.
Enrolled students receive dedicated mentorship and research guidance from experienced faculty members and industry professionals. The university’s Research & Development Center provides a structured environment for thesis work, research projects, and scholarly publications in areas such as AI-driven analytics, predictive modeling, and business intelligence. With access to cutting-edge research and development initiatives, students are encouraged to contribute to the field’s evolution.
In conclusion, the M.Tech program in Computer Science & Engineering with a specialization in Data Science at UPES School of Computer Science offers a well-rounded educational experience. By integrating practical learning, industry exposure, and expert mentorship, the program prepares graduates for impactful careers in AI, data science, and analytics-driven industries. Equipped with the latest technological expertise and a problem-solving mindset, graduates are ready to take on roles such as Data Scientist, Machine Learning Engineer, AI Researcher, and Business Intelligence Analyst, making meaningful contributions to the ever-evolving data science domain.
Interested students must meet the following minimum eligibility criteria for the M.Tech. program in Computer Science & Engineering (Data Science):
Selection for the M.Tech. in Computer Science & Engineering (Data Science) program at UPES is determined by evaluating the performance of students in Personal Interview.
Among top 100 Universities Globally in the Times Higher Education (THE) Interdisciplinary Science Rankings 2026
World-class and highly qualified engineering faculty. High-quality global education at an affordable cost
Among top 100 Universities Globally in the Times Higher Education (THE) Interdisciplinary Science Rankings 2026
Application Deadline: 15th April | Recognized as Institute of Eminence by Govt. of India | NAAC ‘A++’ Grade | Upto 75% Scholarships
Mark presence in the Modern Architectural field with Bachelor of Architecture | Highest CTC : 70 LPA | Accepts NATA Score
Highest CTC 58 LPA | Avg CTC 11.35 LPA| 150+ Recruiters