BCA in Data Analytics

The BCA in Data Analytics program at UPES Online provides comprehensive training in computer applications with a focus on data analysis and visualization. Students learn programming fundamentals, database management, and specialized skills in data mining, statistical analysis, and predictive modeling. The program emphasizes practical applications through hands-on projects and real-world datasets.

Instructors:

Sandi Kumar Chaurasiya

Dr. Saurabh Jain

English

Course Start Date:
Rolling Admissions
Applications Deadline:
Closing Soon
Duration:
36 Months

₹ 1,50,000

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Overview

The BCA in Data Analytics program combines core computer applications knowledge with specialized data analytics skills. Students learn programming, database management, statistical analysis, and data visualization while gaining practical experience through projects. The program prepares graduates for careers in the growing field of data analytics.

Why BCA (Bachelor of Computer Applications)?

This program offers unique advantages including UGC-DEB approval, industry-aligned curriculum, dual certifications, and comprehensive placement support. The focus on practical skills and modern analytics tools prepares graduates for the data-driven business world.

What does this course have to offer?

Key Highlights

UGC-DEB approved program
Dual certifications through Coursera
Industry-expert faculty
Hands-on practical training
Real-world projects
Comprehensive placement support
Global exposure opportunities

Who is this programme for?

Recent 12th grade graduates with math/IT background
IT enthusiasts interested in data analytics
Professionals seeking formal analytics education
Students interested in business intelligence

Minimum Eligibility

Bachelor's degree with 50% marks in any discipline from recognized university
Minimum 45% for candidates with 2+ years work experience
CA/CS/ICWA qualified candidates are eligible
Graduation through ODL/Online mode from UGC recognized institutions accepted

Who is the programme for?

The admission process involves online application, document verification, and eligibility assessment. Students without Mathematics/IT background must complete a foundation course. The program follows a semester system with continuous evaluation through assignments, practical work, and examinations.

Important Dates

Selection process

How to apply?

Curriculum

The curriculum combines computer applications fundamentals with specialized data analytics modules. Core subjects include programming, database management, and statistics, while specialized courses cover data mining, visualization, and big data analytics.

There are 6 semesters in this course

The program spans six semesters progressing from basic computing to advanced analytics. Early semesters cover programming and IT fundamentals, middle semesters focus on data management and visualization, and final semesters emphasize advanced analytics and projects. Students complete hands-on projects using real datasets.

Semester 1

Semester 2

Semester 3

Semester 4

Semester 5

Semester 6

Programme Length

The program duration is 36 months, divided into six semesters. Classes are delivered through a flexible online format with some on-campus components for practical training. Students can access course materials 24/7 and complete assignments at their own pace.

Tuition Fee

The total program fee is Rs. 1,50,000, divided equally across three years at Rs. 50,000 per year. Easy EMI options are available starting at Rs. 4,167 per month. Various financing options including education loans are available.

Fee Structure

Payment options

Financing options

Financial Aid

Learning Experience

The program utilizes a blended learning approach combining live online classes, self-paced modules, and hands-on training. Interactive learning tools, analytics software, and industry projects enhance the learning experience.

University Experience

Students benefit from UPES's advanced learning infrastructure, analytics labs, and industry partnerships. The program provides access to specialized software tools, data analytics platforms, and comprehensive career services including placement assistance.

About the University

Established in 2003 through the UPES Act of the State Legislature of Uttarakhand, UPES is India's first energy university. Located in Dehradun's serene Himalayan foothills, the university spans a 44-acre campus offering specialized programs through seven schools: Advanced Engineering, Computer Science, Design, Law, Business, Health Sciences & Technology, and Liberal Studies. The university is recognized for its industry-aligned curriculum, international outlook, and innovative teaching approaches. UPES has emerged as a leading institution, ranked as the No. 1 private university in academic reputation in India by QS World University Rankings 2025

#801-850

QS World Ranking 2025

#148

QS Asia Ranking 2025

#46

NIRF University Rank 2024

Affiliation & Recognition

UGC

NAAC

NBA

PCI

Career services

UPES provides comprehensive career support through its EDGE (Enhanced Development Growth and Enrichment) program. The center focuses on key areas including entrepreneurship, exam pathways, and employability. Students receive extensive support through insightful workshops, seminars, and training programs covering aptitude development, pre-internship training, life skills, graduate career guidance, thinking skills, and communication workshops. The center also conducts mock interviews, employability boot camps, and industry mentoring by alumni. Summer internships are mandatory for all students, ranging from eight weeks to six months, helping them gain practical industry exposure. The university maintains strong industry connections resulting in over 2400 online internships on live projects.

33 LPA

Highest Package 2024

560

Total Recruiters 2023

94%

Placement Rate 2023

Top Recruiters

Course Start Date:
Rolling Admissions
Applications Deadline:
Closing Soon
Duration:
36 Months

₹ 1,50,000

Add to compare

Whom you will learn from?

Learn from top industry experts who bring real-world experience and deep knowledge to every lesson. The instructors are dedicated to help you achieve your goals with practical insights and hands-on guidance.

Instructors

Sandi Kumar Chaurasiya

Assistant Professor, Computer Applications

Sandip Kumar Chaurasiya specializes in wireless sensor networks (WSN), IoT, and metaheuristic algorithms. He has published extensively in SCI/Scopus-indexed journals and international conferences and has authored books on WSN. His notable research includes the "Enhanced Balanced Cluster Lifetime Prolonging Protocol for Wireless Sensor Networks" published in IJCA. He has also presented at international conferences, contributing to global research discussions.

Dr. Saurabh Jain

Assistant Professor (Selection Grade)

Dr. Saurabh Jain is a dedicated Computer Science professional specializing in programming, information security, cryptography, and blockchain technology. He holds an M.Tech in Information Security from MANIT, Bhopal, and is pursuing his Ph.D. from UPES, India. Passionate about teaching, he employs innovative strategies to enhance critical thinking and problem-solving skills in students.

Testimonials

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Faculties

These are the expert instructors who will be teaching you throughout the course. With a wealth of knowledge and real-world experience, they’re here to guide, inspire, and support you every step of the way. Get to know the people who will help you reach your learning goals and make the most of your journey.

Instructors

Sandi Kumar Chaurasiya

Assistant Professor, Computer Applications

Dr. Saurabh Jain

Assistant Professor (Selection Grade)

Frequently asked questions

Below are some of the most commonly asked questions about this course. We aim to provide clear and concise answers to help you better understand the course content, structure, and any other relevant information. If you have any additional questions or if your question is not listed here, please don't hesitate to reach out to our support team for further assistance.

What are the eligibility criteria?

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