Overview, Course Info, Colleges and Fees, Jobs and Salary, Study Path, Resources
M.Tech in AI and Data Science offers advanced skills in machine learning, big data analytics, and AI applications. Ideal for tech enthusiasts!
Average Salary
₹ 8,00,000 /-
Career Growth
High
Course Demand
High
An M.Tech in Artificial Intelligence and Data Science opens doors to a plethora of exciting career paths. Graduates can explore roles such as Data Scientist, developing algorithms and models to extract insights from large datasets. Machine Learning Engineers are in high demand, focusing on building and deploying AI models. AI Research Scientists contribute to cutting-edge advancements in the field. Data Engineers design and maintain the infrastructure for data storage and processing. Business Intelligence Analysts use data to inform strategic decisions. Other options include roles in AI ethics, cybersecurity, and AI-driven product development. The demand for skilled AI and data science professionals is rapidly increasing, making this a promising field for career growth. Consider specializing in areas like natural language processing, computer vision, or deep learning to further enhance your career prospects. The average salary for M.Tech AI and Data Science graduates ranges from ₹6 LPA to ₹25 LPA, depending on experience and skills.
Several emerging trends in AI and Data Science are shaping the job market. The increasing adoption of cloud computing for AI workloads is creating demand for professionals skilled in cloud-based AI solutions. The rise of edge AI, which involves processing data closer to the source, is opening up new opportunities in IoT and embedded systems. Explainable AI (XAI) is gaining importance, requiring experts who can develop AI models that are transparent and understandable. The focus on AI ethics and responsible AI is creating roles related to AI governance and compliance. Automation and AI-driven decision-making are transforming industries, leading to a need for professionals who can manage and optimize these systems. The convergence of AI with other technologies like blockchain and quantum computing is also creating novel job roles. Staying updated with these trends and acquiring relevant skills is crucial for career advancement in the dynamic field of AI and data science. Salaries are also influenced by these trends, with specialized skills commanding higher compensation.
Career Name | Salary |
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6,00,000 /- | |
7,00,000 /- | |
6,00,000 /- | |
8,00,000 /- | |
8,00,000 /- | |
6,00,000 /- | |
4,50,000 /- | |
4,50,000 /- | |
4,50,000 /- | |
8,00,000 /- | |
18,00,000 /- | |
undefined /- | |
25,00,000 /- | |
6,00,000 /- | |
6,00,000 /- | |
7,00,000 /- | |
7,00,000 /- | |
7,00,000 /- | |
7,00,000 /- |
Compay | Package |
---|---|
7,50,000 /- | |
8,20,000 /- | |
7,00,000 /- | |
9,00,000 /- | |
12,50,000 /- | |
13,00,000 /- | |
7,80,000 /- | |
7,20,000 /- | |
6,80,000 /- | |
8,50,000 /- | |
8,00,000 /- |