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Programmes
B. Tech. in Information Technology – Data Analytics
Overview
This programme prepares students to excel in the dynamic field of data analytics by combining a solid IT foundation with courses focused on the principles, tools, and data analysis techniques. Students are equipped to make data-driven decisions and contribute to the evolving IT landscape.
The curriculum covers various topics and prepares students to excel in the dynamic field of data analytics. It combines a strong IT foundation with courses focused on the principles, tools, and techniques of data analysis.
This is essential for working effectively with data, ensuring students are well-prepared to meet industry demands and offering an industry-aligned curriculum that meets professional standards, emphasising practical application in real-time problem-solving using Al and ML.
Duration
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
Eligibility
For 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; AUEET (Alliance Undergraduate Engineering Entrance Test); or any other State-Level engineering entrance examination.
For Lateral Entry
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.
Programme Features
Certifications are offered through MoUs by reputable organisations.
Advanced lab facilities featuring centres of excellence with Apple and CoE.
Hands-on experience in real-time problem-solving using Al and ML.
Focus on innovation, operational efficiency, and enterprise data optimisation.
Skill certifications from platforms like Google and Meta via Coursera.
Access to high-performance computing units for large-scale data processing.
Training in recent trends and repositories in data analytics tools.
Programme Structure
Contact for Admissions
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Call Us+91 96060 48544, 96200 09825,
080 4619 9049 -
Email Usbtech@alliance.edu.in
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