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B. Tech. in Information Technology – Data Analytics


The Bachelor of Technology (B. Tech.) program in Information Technology with a specialization in Data Analytics is designed to equip students with the skills and knowledge needed to excel in the rapidly evolving field of data analytics. This innovative program combines a strong foundation in information technology with specialized courses focused on the principles, tools, and techniques of data analysis. Upon completion of the B.Tech program in Information Technology with a specialization in Data Analytics, graduates are poised to become proficient data analysts, equipped with the skills needed to make data-driven decisions and contribute effectively to the evolving landscape of information technology.Our data analytics curriculum typically encompasses a variety of topics aimed at equipping individuals with the necessary skills and knowledge to work with data effectively. Such a curriculum often covers a wide range of concepts, tools, and methodologies to analyze, interpret,


B. Tech. (Regular): Four Years / Eight Semesters

B. Tech. (Lateral): Three Years / Six Semesters

Commence of the course

Course Duration

Four Years

Mode of Study


B. Tech. (Regular)

10+2 from recognized Board / Council with Minimum 50% marks in Physics & Mathematics as compulsory subjects along with one of the Chemistry / Biotechnology / Biology / Technical Vocational Subject.

Score in JEE (Main); JEE (Advanced); Karnataka CET; COMED-K; AUSAT (Alliance University Scholastic Aptitude Test); or any other State-Level engineering entrance examination.

B. Tech. (Lateral)

Passed Diploma examination with at least 50% marks in relevant branch of Engineering and Technology.

Passed B. Sc. Degree from a recognized University as defined by UGC, with at least 50% marks & passed 10+2 examination with Mathematics as a subject.

A relaxation of 5% marks or its equivalent grade may be allowed for those belonging to SC / ST / OBC (non-creamy layer) / Differently Abled.

Key Features

Enhanced curriculum in alignment with the industry standards.

Certifications through MOUs.

Well-equipped Lab facilities with a center of excellence with Apple, IBM.

Hands experience in real time problem solving using AI and ML.

Fostering innovation, streamlining operations, and optimizing processes in the realm of enterprise adoption. Enhanced curriculum orients towards the data analytic industry.

Industry skill certification from Google, Meta etc. using Coursera.

Availability of high-performance computing units for handling mass data.

Exploring recent trends in Data Analytics tools using repositories.

Programme Structure

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