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Admissions Open 2026-27
MAHE University

MAHE University

UGC-DEBNAAC A+AICTE

M.Sc Data Science

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

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Global Degree

Recognized Worldwide

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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
M.Sc

In association with MAHE University

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Introduction

The M.Sc in Data Science at MAHE University is a postgraduate program designed to equip students with the knowledge and skills required to excel in the field of data science. This online program spans four semesters, offering a comprehensive curriculum that covers the fundamentals of data science, including data mining, machine learning, and data visualization. With a strong focus on practical applications, this program is ideal for individuals seeking to pursue a career in data science or enhance their existing skills in this domain.

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Program Objective

The M.Sc in Data Science program at MAHE University provides a broad and in-depth understanding of data science concepts, tools, and techniques. The program is structured to ensure that students gain hands-on experience in working with various data science tools and technologies, including Python, R, SQL, and NoSQL databases. The curriculum is designed to cater to the needs of the industry, with a focus on developing skills in data analysis, machine learning, and data visualization. Upon completion of the program, students will be equipped to work in various roles, including data scientist, data analyst, business analyst, and data engineer.

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

Program Fee Structure

Investment details for M.Sc at MAHE University

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Total Program Investment

₹2,80,000Full Program
Duration4 Semesters

Payment Benefits

No Cost EMI
Online Payment
Loan Support
Scholarships

Semester-wise Plan

Semester Fee₹70,000
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 M.Sc in Data Science?

Discover the advantages of pursuing this specialization at MAHE University

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Program Benefits

The M.Sc in Data Science program at MAHE University offers several benefits, including flexibility, affordability, and a comprehensive curriculum. The program is designed to cater to the needs of working professionals, with online classes and a flexible schedule. The program also offers career growth potential, with data science professionals in high demand across various industries. Additionally, the program provides access to a network of professionals and alumni, offering opportunities for collaboration and knowledge sharing.

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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 M.Sc - Data Science

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Market Overview

The demand for data science professionals is on the rise in India and globally, with the market expected to grow significantly in the coming years. As a result, data science professionals can expect lucrative salary packages, with the average salary ranging from ₹3 lakhs to ₹20 lakhs per annum, depending on the level of experience and the organization.

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 M.Sc 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 Analyst

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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Business Intelligence Developer

Full-timeHigh Growth
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Quantitative Analyst

Full-timeHigh Growth
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Data Architect

Full-timeHigh Growth
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Data Quality Analyst

Full-timeHigh Growth
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Statistical 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 M.Sc - Data Science graduates

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Industry Recognition

The M.Sc in Data Science program at MAHE University has a strong track record of placements, with top recruiters from various industries, including finance, healthcare, technology, and consulting. Some of the top recruiters include IBM, Accenture, Infosys, Wipro, and Cognizant, among others.

Our Recruitment Partners

IBM

Actively Hiring

Accenture

Actively Hiring

Infosys

Actively Hiring

Wipro

Actively Hiring

Cognizant

Actively Hiring

TCS

Actively Hiring

HCL

Actively Hiring

Capgemini

Actively Hiring

Deloitte

Actively Hiring

KPMG

Actively Hiring

Placement Highlights

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85%+
Placement Rate
💼
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 M.Sc in Data Science

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Curriculum Structure

The program is structured into 4 semesters with comprehensive coverage of core and elective subjects

4Semesters
16Subjects
3Years

Semester 1

4 Subjects
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Introduction to Data Science

Core Subject4 Credits
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Data Mining

Core Subject4 Credits
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Machine Learning

Core Subject4 Credits
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Data Visualization

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 M.Sc in Data Science at MAHE University

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Eligibility Criteria

To be eligible for the M.Sc in Data Science program at MAHE University, candidates must have a bachelor's degree in any discipline with a minimum of 50% marks. Candidates must also have a strong foundation in mathematics and statistics, with proficiency in programming languages such as Python or R.

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 M.Sc in Data Science program at MAHE University is open to fresh graduates and working professionals seeking to upskill or reskill in the field of data science. The program is ideal for individuals with a background in mathematics, statistics, computer science, or engineering, although candidates from other disciplines may also apply.

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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 M.Sc in Data Science at MAHE University

The M.Sc in Data Science program at MAHE University is a four-semester program.

To be eligible for the M.Sc in Data Science program at MAHE University, candidates must have a bachelor's degree in any discipline with a minimum of 50% marks.

Graduates of the M.Sc in Data Science program at MAHE University can pursue careers in data science, data analysis, business analysis, and other related fields, with top recruiters from various industries.

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Still Have Questions?

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