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Admissions Open 2026-27
University of Petroleum and Energy Studies

University of Petroleum and Energy Studies

UGC-DEBNAAC A+AICTE

MCA Data Science

Empower your professional journey with our industry-aligned MCA program. Gain expertise in Data Science through flexible learning and expert mentorship.

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Global Degree

Recognized Worldwide

💻
Flexible Learning

100% Online/Distance

Trusted by 10,000+ Students Nationwide

Accreditations & Recognitions

Recognized by the world's leading bodies

#58 Rank

NIRF Ranked University

A+ Grade

NAAC Accredited

Global

QS World Rankings

UGC Entitled Degree

AICTE Approved

Top 400

Times Higher Education

Rank 15

The Week Ranking

Top 10

Career360 Mgmt

WES Recognized

University Excellence

Advance Your Career with
MCA

In association with University of Petroleum and Energy Studies

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Introduction

The MCA in Data Science program at the University of Petroleum and Energy Studies is a postgraduate degree that focuses on providing students with a comprehensive understanding of data science concepts, tools, and techniques. This online program is designed to equip students with the skills required to analyze complex data sets, develop predictive models, and create data-driven solutions. With the increasing demand for data scientists across various industries, this program aims to bridge the gap between the industry's requirements and the skills of the students.

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Program Objective

The MCA in Data Science program is a 2-3 year online program that covers a wide range of topics, including data structures, algorithms, computer networks, database management systems, machine learning, deep learning, natural language processing, and data visualization. The program is designed to provide students with a strong foundation in computer science and data science, as well as hands-on experience with industry-standard tools and technologies. Upon completion of the program, students will be able to analyze complex data sets, develop predictive models, and create data-driven solutions for real-world problems.

100%Online Mode
24/7LMS Access
GlobalNetworking
Financial Transparency

Program Fee Structure

Investment details for MCA at University of Petroleum and Energy Studies

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Total Program Investment

₹ 1,50,000Full Program
Duration2-3 Years

Payment Benefits

No Cost EMI
Online Payment
Loan Support
Scholarships

Semester-wise Plan

Semester Fee₹ 25,000
Important Notes
  • Fees are subject to university revision guidelines.
  • Inclusive of all applicable government taxes.
  • Examination fees may vary based on university norms.

Why Choose MCA in Data Science?

Discover the advantages of pursuing this specialization at University of Petroleum and Energy Studies

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Program Benefits

The MCA in Data Science program at the University of Petroleum and Energy Studies is a valuable specialization that offers numerous benefits, including career growth potential, high demand in the industry, and the opportunity to work with cutting-edge technologies. This program is ideal for students who are interested in pursuing a career in data science and want to develop a strong foundation in computer science and data science concepts.

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Industry Recognition

Curriculum designed with industry standards and requirements

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Career Growth

Strong placement support and career advancement opportunities

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Flexible Learning

Online mode with flexible schedules for working professionals

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Expert Faculty

Learn from experienced professionals and academic experts

Salary Insights & Career Growth

Explore earning potential and career progression in MCA - Data Science

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Market Overview

The market trends for data scientists in India and globally are highly promising, with a significant increase in demand for skilled professionals in this field. According to various reports, the average salary for data scientists in India ranges from ₹3-6 LPA for entry-level positions to ₹20+ LPA for senior-level positions.

Salary Range by Experience Level

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Entry Level / Executive

₹3 - ₹6 LPA
  • Fresh graduate positions
  • Training and mentorship
  • Foundation building
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Mid Level / Manager

₹8 - ₹15 LPA
  • Team leadership roles
  • Project management
  • Strategic responsibilities
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Senior Level / Head

₹20+ LPA
  • Executive positions
  • Department leadership
  • Strategic decision making

Factors Affecting Salary Growth

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Education & Certification

Advanced degrees and professional certifications can increase earning potential by 20-40%

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Company Size & Industry

MNCs and established companies typically offer 30-50% higher compensation packages

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Location

Metro cities like Mumbai, Delhi, Bangalore offer 25-35% higher salaries than tier-2 cities

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Skills & Experience

Specialized skills and relevant experience significantly impact salary negotiations

Career Opportunities

Explore diverse career paths available after completing MCA in Data Science

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Data Scientist

Full-timeHigh Growth
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Data Analyst

Full-timeHigh Growth
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Business Intelligence Developer

Full-timeHigh Growth
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Data Engineer

Full-timeHigh Growth
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Machine Learning Engineer

Full-timeHigh Growth
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Natural Language Processing Specialist

Full-timeHigh Growth
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Data Architect

Full-timeHigh Growth
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Business Analyst

Full-timeHigh Growth
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Operations Research Analyst

Full-timeHigh Growth
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Quantitative Analyst

Full-timeHigh Growth

Typical Career Progression

1

Entry Level (0-2 years)

Start as an executive or junior professional, learn fundamentals and gain practical experience

₹3-6 LPA
2

Mid Level (3-7 years)

Progress to managerial roles, lead teams and projects, develop specialized expertise

₹8-15 LPA
3

Senior Level (8+ years)

Take on leadership positions, strategic planning, and organizational decision-making

₹20+ LPA

Key Industry Sectors

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Corporate Sector

MNCs, startups, and established companies across various industries

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Education

Schools, colleges, universities, and educational technology companies

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Government

Public sector organizations, government agencies, and policy institutions

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Technology

IT companies, software development, digital platforms, and tech startups

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Media & Communications

Publishing, journalism, advertising, public relations, and content creation

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Non-Profit

NGOs, social organizations, research institutions, and community development

Top Recruiters

Leading companies that actively recruit MCA - Data Science graduates

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Industry Recognition

The top recruiters for data scientists include companies from various industries, such as finance, healthcare, e-commerce, and technology. Some of the top companies that hire data scientists include IBM, Accenture, Infosys, TCS, and Google.

Our Recruitment Partners

IBM

Actively Hiring

Accenture

Actively Hiring

Infosys

Actively Hiring

TCS

Actively Hiring

Google

Actively Hiring

Microsoft

Actively Hiring

Amazon

Actively Hiring

Flipkart

Actively Hiring

Paytm

Actively Hiring

Ola

Actively Hiring

Placement Highlights

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85%+
Placement Rate
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500+
Partner Companies
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₹6 LPA
Average Package
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₹25 LPA
Highest Package

Hiring Across Industries

💻Information Technology
🏦Banking & Finance
🏢Consulting
📱E-commerce
🎓Education
🏥Healthcare
🏭Manufacturing
📰Media & Communications

Course Curriculum

Comprehensive Semester-wise curriculum for MCA in Data Science

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Curriculum Structure

The program is structured into 6 semesters with comprehensive coverage of core and elective subjects

6Semesters
24Subjects
3Years

Semester 1

4 Subjects
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Data Structures

Core Subject4 Credits
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Algorithms

Core Subject4 Credits
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Computer Networks

Core Subject4 Credits
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Database Management Systems

Core Subject4 Credits

Learning Outcomes

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Knowledge & Understanding

Develop comprehensive understanding of core concepts and theoretical frameworks

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Critical Thinking

Enhance analytical and problem-solving skills through practical applications

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Professional Skills

Acquire industry-relevant skills and competencies for career advancement

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Communication

Develop effective written and verbal communication skills

Eligibility & Admission

Check if you meet the requirements for MCA in Data Science at University of Petroleum and Energy Studies

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Eligibility Criteria

The eligibility criteria for this program include a bachelor's degree in computer science, information technology, or a related field, with a minimum of 50% marks. Additionally, students must have a strong foundation in mathematics and programming concepts.

Minimum 50% marks in qualifying examination
Valid government-issued ID proof
Age limit: 17-35 years (relaxation for reserved categories)
English proficiency (basic level required)
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Who Can Apply

The target audience for this program includes fresh graduates, working professionals looking for upskilling, and individuals who want to transition to a career in data science. The program is designed to be flexible and can be completed online, making it accessible to students from all over the world.

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Application Process

1

Submit Application

Fill out the online application form with your personal and academic details

2

Document Verification

Upload required documents for verification by the admissions team

3

Fee Payment

Pay the admission fee to confirm your seat in the program

4

Enrollment

Complete the enrollment process and begin your academic journey

Quick Eligibility Check

Documents Required

📄10th & 12th Mark Sheets
🆔Government ID Proof
📸Passport Size Photos
📋Category Certificate (if applicable)

Need Help?

Our admission counselors are here to guide you through the process.

Frequently Asked Questions

Get answers to common questions about MCA in Data Science at University of Petroleum and Energy Studies

The duration of the MCA in Data Science program is 2-3 years.

The eligibility criteria for the MCA in Data Science program include a bachelor's degree in computer science, information technology, or a related field, with a minimum of 50% marks.

The job opportunities available after completing the MCA in Data Science program include data scientist, data analyst, business intelligence developer, data engineer, and machine learning engineer, among others.

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Still Have Questions?

Our education counselors are here to help you make the right decision for your career.