
Program Eligibility
You must successfully complete BE/BTech in Electrical Engineering, Circuit Streams, Computer Science, or in any other discipline with a minimum of 60% marks.
If you are from other discipline, you must qualify a Programming Skills Test conducted by the Institute.
You must appear for the Manipal Entrance Test (MET) and secure the required cut off.
FAQs
Hands- on Practical Exposure: Our curriculum enables you to work with Hadoop, spark, PowerBI, and NoSQL DB, through mini projects that involve data obtained from the public domain/hospitals, with access to GPU resources.
Career- Driven Curriculum: Our curriculum is aligned with industry requirements, along with a strong focus on professional skills development, preparing you for real-world job roles such as Business Analysts, Big Data Developers, Data Analysts, Data Engineers, Data Science Engineers, Data Scientists.
Practical and Theoretical Blend: Our program is designed to align theoretical learning with practical applications. Each course has associated lab sessions, ensuring theoretical concepts are reinforced through practical training.
Mini Projects & Skill Development: Our program promotes experiential learning and skill acquisition outside the curriculum through industry approved courses and electives, preparing you to face the corporate world.
Industry-Integrated Alumni Community: With a strong alumni network, close industry collaborations, and a curriculum designed for real-world impact, our program positions you for leadership in data analytics and technology innovation.

Specialised Skills
Learn skills such as Hadoop, Spark, PowerBI setup, NoSQL DB, through mini projects.
Specialised Skills
Learn skills such as Hadoop, Spark, PowerBI setup, NoSQL DB, through mini projects.
Program Details
Develop in depth understanding of the key technologies in data engineering, data science and business analytics.
Practice problem analysis and decision-making using machine learning techniques.
Gain practical, hands-on experience with statistics, programming languages and big data tools through coursework and applied research experiences.



Our meaningful collaborations with industry leaders and global universities enhance your career opportunities and higher education pathways
Placements













Admissions Path
Curriculum and Fees
You can build basic and core knowledge of Big Data Analytics and its specialization through subjects like Architecture of Big Data Systems, Principles of Data Visualization, Applied Generative AI and Machine Learning, Applied Probability and Statistics, Machine Learning for Big Data, Modern Databases for Big Data, DevOps for Cloud, aligned with the industrial standards and requirements.
Program Duration
Total Program Fee
General:
Total Program Fee
NRI/Foreign:
Scholarships


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