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Program Highlights



Eminent Faculties

Engage with experts using interactive, technology-enabled virtual classrooms

Anytime Learning

Gain from recorded lectures, programme handouts, and recorded lab content

Industy Endorsed

Co-Developed Co-Designed Co-Delivered by Industry Experts

Experiential learning

It allows learners to apply concepts learnt in classroom in real work situations





Programme Overview

With data being termed as the future oil for organizations, analytics have become an engine that drives it to arrive at meaningful insights. The powerful combination of both is what is driving the future scope of data science. All across the globe, organizations are innovating multiple methods to harness data and use this powerful tool to drive their businesses.The recent surges in e-commerce platforms, online transactions, and more students opting for online courses have contributed to the need to analyze massive data chunks for a comprehensive understanding. This, in turn, has amplified the future scope of data sciences in India and is among the top-paying jobs in the market right now.

A comprehensive curriculum, extensive emphasis on experiential learning using remote and cloud labs and a flexible education methodology that enables working professionals to acquire a prestigious engineering degree while pursuing their careers, the B.Tech in Data Sciences is just the right programme for career growth in the software industry.

Six Semesters spread over Three Years





Batch-Size of 20 learners per branch





Skills and techniques to overcome problems related to new technologies across Globe





Prepares Learners to be suitable for various senior roles of IT Sector





Degree Awarded from UGC recognised Universities





Virtual Labs

Qualification:

Polytechnic Diploma in Engineering with having minimum 50% marks or its equivalent

Minimum one year of work experience.

Specialization: -Data Sciences



Current Batch Companies





Programme Structure


SEMESTER III SEMESTER IV
Digital Electronics Discrete Mathematics
Data Structures Operating Systems
Computer Oriented Statistical Methods Database Management Systems
Computer Organization and Architecture Software Engineering
Object Oriented Programming through Java Operating Systems Lab
Data Structures Lab Node JS/ React JS/ Django
Object Oriented Programming through Java Lab
Data visualization- R Programming
SEMESTER V SEMESTER VI
Algorithm Design and Analysis Automata Theory and Compiler Design
Introduction to Data Science Big Data Analytics
Computer Networks Big Data Analytics Lab
R Programming Lab Machine Learning
Computer Networks Lab Data Visualization Techniques
Data Warehousing and Business Intelligence Scripting Languages
SEMESTER VII SEMESTER VIII
Predictive Analytics Data Stream Mining
Web and Social Media Analytics UI design- Flutter
Predictive Analytics Lab Project Work
Web and Social Media Analytics Lab
Database Security
Privacy Preserving in Data Mining


LEARNING PEDAGOGY



Convenient learning

Live & Recorded Lectures

Cutting Edge Tutorials.

Continuos Assessment


E-Tutoring

Multimedia Resources

Lectures through LMS


Online Assessment

E-Examinations

Peer Assessment

Insights from industry experts


Online Mentoring

Counseling through Experts

Resume Buidling

Networking with larger community of professionals

eDIGI Advantages

Job Fairs & Networking Events

eDIGI organizes regular events in key cities every few months for Working Professionals to explore current and upcoimg opportunities for growth

Extended Career Support

eDIGI offers career support services to learner through-Career Coaching, Personalised Mentorship, Mock Interviews etc.

Resume Building Support

eDIGI also helps Learner on building Resume to Impress Recruiters by providning tips on showcasing skills & achievements professionally.

Comprehensive Content

eDIGI provides Best-in-class and engaging content by leading faculty and industry leaders in the form of videos, cases and projects.
Affiliations

Our Academic Partners

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Disclaimer*

eDIGILEARN does not grant credit; credits are granted, accepted or transferred at the sole discretion of the relevant educational institution offering the diploma or degree. We advise you to enquire further regarding the suitability of this program for your academic and professional requirements before enrolling. eDIGILEARN does not make any representations regarding the recognition or equivalence of the credits or credentials awarded, unless otherwise expressly stated.