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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 AI & ML

Empower your professional journey with our industry-aligned MCA program. Gain expertise in AI & ML 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 AI & ML at the University of Petroleum and Energy Studies is a postgraduate program designed to equip students with the knowledge and skills necessary to excel in the field of Artificial Intelligence and Machine Learning. This online program is ideal for those who wish to pursue a career in technology and innovation, with a focus on the energy and petroleum sectors. The program provides a comprehensive understanding of AI and ML concepts, including data science, deep learning, and natural language processing.

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Program Objective

The MCA in AI & ML program at the University of Petroleum and Energy Studies is a 2-3 year online program that provides students with a comprehensive understanding of AI and ML concepts and their applications in the energy and petroleum sectors. The program covers a wide range of topics, including data science, deep learning, natural language processing, and computer vision. The program aims to produce skilled professionals who can design, develop, and implement AI and ML solutions to real-world problems. The program also provides students with the opportunity to work on projects and internships, allowing them to gain practical experience and build a professional network.

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 AI & ML?

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

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Program Benefits

The MCA in AI & ML program at the University of Petroleum and Energy Studies is a valuable specialization that provides students with the knowledge and skills necessary to excel in the field of AI and ML. The program offers a unique combination of theoretical and practical knowledge, with a focus on the energy and petroleum sectors. The program also provides students with the opportunity to work on projects and internships, allowing them to gain practical experience and build a professional network.

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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 - AI & ML

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Market Overview

The job market for AI and ML professionals is highly competitive and in demand, with companies across various sectors looking to hire skilled professionals to develop and implement AI and ML solutions. In India, the average salary for AI and ML professionals can range 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 AI & ML

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AI Engineer

Full-timeHigh Growth
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ML Engineer

Full-timeHigh Growth
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Data Scientist

Full-timeHigh Growth
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Business Analyst

Full-timeHigh Growth
💼

IT Consultant

Full-timeHigh Growth
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Software Developer

Full-timeHigh Growth
💼

Data Analyst

Full-timeHigh Growth
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AI Researcher

Full-timeHigh Growth
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ML Researcher

Full-timeHigh Growth
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Computer Vision Engineer

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 - AI & ML graduates

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Industry Recognition

The top recruiters for AI and ML professionals include companies from the energy and petroleum sectors, as well as IT and technology companies. Some of the top recruiters include IBM, Microsoft, Google, Amazon, and Accenture.

Our Recruitment Partners

IBM

Actively Hiring

Microsoft

Actively Hiring

Google

Actively Hiring

Amazon

Actively Hiring

Accenture

Actively Hiring

TCS

Actively Hiring

Infosys

Actively Hiring

Wipro

Actively Hiring

HCL

Actively Hiring

Cognizant

Actively Hiring

Placement Highlights

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85%+
Placement Rate
💼
500+
Partner Companies
🎯
₹6 LPA
Average Package
🚀
₹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 AI & ML

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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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Introduction to AI and ML

Core Subject4 Credits
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Data Science

Core Subject4 Credits
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Programming in Python

Core Subject4 Credits
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Data Structures and Algorithms

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 AI & ML at University of Petroleum and Energy Studies

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Eligibility Criteria

The eligibility criteria for the MCA in AI & ML program at the University of Petroleum and Energy Studies is a bachelor's degree in computer science, IT, or a related field, with a minimum of 50% marks. Students with a bachelor's degree in other fields may also be eligible, provided they have a strong foundation in mathematics and computer science.

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 MCA in AI & ML program at the University of Petroleum and Energy Studies is ideal for fresh graduates and working professionals looking to upskill and reskill in the field of AI and ML. The program is also suitable for professionals from the energy and petroleum sectors who wish to transition into AI and ML roles.

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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 AI & ML at University of Petroleum and Energy Studies

The MCA in AI & ML program is a 2-3 year online program.

The eligibility criteria for the MCA in AI & ML program is a bachelor's degree in computer science, IT, or a related field, with a minimum of 50% marks.

The job opportunities available after completing the MCA in AI & ML program include AI Engineer, ML Engineer, Data Scientist, Business Analyst, IT Consultant, Software Developer, Data Analyst, AI Researcher, ML Researcher, and Computer Vision Engineer.

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Still Have Questions?

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