NIELIT (Deemed to be University)

2-Year Master of Technology in Data Engineering

For the last twenty years, the world has observed the participation of IT enabled services in all sectors. Along with the increase of social media services, the dynamics of the World Wide Web has moved from data consumption to a data generation situation. The social networking services have make possible not only the organizations but as well as individual users as the source of content providers. Internet data is escalating exponentially and so is the capacity of data. Areas of applications such as social media, healthcare industry, weather forecast, ecommerce, traffic monitoring and every possible domains are yielding colossal quantity of data, called “BIG DATA”, at a record magnitude. This has created a huge need for skilled professionals, known as Data Scientists, who can mine and interpret data. Understanding this gigantic amount of data is a major challenge in science, technology and industry.

Apply Download Brochure

Data Engineering Programme Outcomes

Foundational and advanced concepts in data engineering to excel in diverse professional roles, fostering innovation and critical problem-solving.

Students demonstrate proficiency in advanced data engineering techniques, algorithms, and tools, addressing industry challenges and contributing to research and development.

Students exhibit effective communication, teamwork, and ethical values, positioning them as responsible leaders and collaborators in the data engineering domain.

Students apply mathematical foundations and data engineering principles to solve complex computing challenges independently and collaboratively.

Students design, analyze, and implement advanced data structures, algorithms, and computational solutions, showcasing competence in data engineering.

Master of Technology - Data Engineering

This programme would offer students an opportunity to gain knowledge of both foundational and experimental components of Data Engineering with application of Machine Learning and Deep Learning techniques. On completion of this programme, a student will be able become industry ready involving innovation and problem-solving and can join the industry as a Data Scientist/Data Analyst/Data Engineer. Along with the courses that provide specialization in Data Engineering, students will also have opportunity to explore some applied domains such as Neural Networks, Fuzzy Logic, Genetic Algorithms, Data Warehousing, Cloud Computing, Data Security and Access Control, Web Analytics and Development and many others.

Curriculum for M. Tech. in Data Engineering

Quick Link

About Us Contact Us

Contact

NIELIT Ropar,
Main Campus, Bada Phool,
Rupnagar(Ropar), Punjab-140001