AIMT’s M.Tech in Data Science prepares students with advanced analytical, statistical, and computational skills. Learners acquire hands-on expertise in machine learning, big data analytics, artificial intelligence, data mining, and predictive modeling—key skills required in modern data-driven industries.
The M.Tech in Data Science at AIMT is designed for students who want to become data analysts, machine learning engineers, statisticians, data engineers, and AI specialists. The curriculum integrates mathematics, programming, artificial intelligence, cloud computing, data visualization, and real-world analytical applications.
The program consists of two semesters combining theory, lab-based learning, advanced analytics, and a research thesis or capstone project.
| First Semester | Credits |
|---|---|
| Advanced Statistics & Probability for Data Science | 3 |
| Machine Learning Algorithms & Optimization | 3 |
| Python Programming for Data Analysis | 3 |
| Big Data Engineering (Hadoop / Spark) | 3 |
| Research Methods in Data Science | 3 |
| Second Semester | Credits |
|---|---|
| Deep Learning & Neural Networks | 3 |
| Cloud Computing & Data Pipelines (AWS / Azure) | 3 |
| Data Visualization & Business Intelligence | 3 |
| AI Ethics & Responsible Data Science | 3 |
| Thesis / Capstone Project | 6 |
Students graduate with strong analytical, computational, and AI-driven problem-solving skills that prepare them for high-demand roles in industries such as fintech, health tech, telecommunications, logistics, and research.
The Data Science program at AIMT shaped my career. The practical labs and faculty mentorship helped me secure a job as a machine learning engineer before graduation.
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