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Rankings & Accreditations of Our Online Universities

Rank 58
Ranked 58 amongst India's top universities in 2025
Ranked 58 amongst India's top universities in 2025
Rajasthan's 1st NAAC A+ Accredited University
Rajasthan's 1st NAAC A+ Accredited University
Rank 195
Amongst South Asia's Top Universities (2026)
Amongst South Asia's Top Universities (2026)
UGC-entitled Online Degrees Equivalent to Campus Degree
UGC-entitled Online Degrees Equivalent to Campus Degree
AICTE Norms Compliant
AICTE Norms Compliant
Ranked 201-300
Amongst Worlds Top 300 Universities (2026)
Amongst Worlds Top 300 Universities (2026)
Rank 6
Amongst Private & Deemed Multidisciplinary Universities (North Zone, 2026)
Amongst Private & Deemed Multidisciplinary Universities (North Zone, 2026)
Rank 7
Amongst Private Distance and Online Learning Programs (2026)
Amongst Private Distance and Online Learning Programs (2026)
Rank 9
Amongst India's Top 10 Universities (Management) 2024
Amongst India's Top 10 Universities (Management) 2024
Degrees Evaluated by - World Education Services
Degrees Evaluated by - World Education Services
Member of ACU
Member of ACU
Degrees Evaluated by -International Credential Assessment Service of Canada
Degrees Evaluated by -International Credential Assessment Service of Canada
Degrees Evaluated by -International Qualifications Assessment Service
Degrees Evaluated by -International Qualifications Assessment Service
Zambia Qualifications Authority
Zambia Qualifications Authority
Rank 3
Amongst India's Top 3 Universities (2025)
Amongst India's Top 3 Universities (2025)
MAHE
Among India’s Few Universities Granted IOE Status
Among India’s Few Universities Granted IOE Status
Achieved Highest Accreditation Grade by NAAC
Achieved Highest Accreditation Grade by NAAC
AICTE Approved Programs
AICTE Approved Programs
UGC-entitled Online Degrees Equivalent to Campus Degree
UGC-entitled Online Degrees Equivalent to Campus Degree
Rank 36
Amongst South Asia’s Top 40 Universities (2026)
Amongst South Asia’s Top 40 Universities (2026)
Rank 197
Amongst Asia's Top 200 universities (2026)
Amongst Asia's Top 200 universities (2026)
Rank 23
Amongst World’s Top Universities for Quality Education (2026)
Amongst World’s Top Universities for Quality Education (2026)
Rank 1
India’s Top Deemed Universities by ICARE (2025)
India’s Top Deemed Universities by ICARE (2025)
Rank 1
Top Private & Deemed Multidisciplinary University (2026)
Top Private & Deemed Multidisciplinary University (2026)
Rank 2
India’s Top Private Universities in 2022-23
India’s Top Private Universities in 2022-23
Rank 253
Amongst Best Global Universities in Asia
Amongst Best Global Universities in Asia
Degrees Evaluated by - World Education Services
Degrees Evaluated by - World Education Services
Degrees Evaluated by -International Credential Assessment Service of Canada
Degrees Evaluated by -International Credential Assessment Service of Canada
Degrees Evaluated by -International Qualifications Assessment Service
Degrees Evaluated by -International Qualifications Assessment Service

What is an MBA in Analytics & Data Science?

The MBA in Analytics & Data Science is a specialized concentration that empowers you to transform raw data into strategic business intelligence. It focuses on mastering the tools and techniques needed to interpret complex datasets, ensuring you can lead data-driven initiatives that optimize performance and drive organizational growth.

Category Description

Program Overview

Designed to train professionals in data-driven decision-making and advanced analytical leadership.

Career Prospects

Sectors: IT & Tech, BFSI (Banking & Finance), Healthcare, Retail & E-Commerce, Marketing Research

Roles: Data Scientist, Business Intelligence Analyst, Data Architect, Analytics Manager, Risk Analyst

Reasons to Pursue

Expertise in predictive modeling, mastery of Big Data tools, high salary potential, and data-backed strategic thinking.

Curriculum

  • Programming in Data Science
  • Exploratory Data Analysis
  • Introduction to Machine Learning
  • Visualization
  • Advanced Machine Learning
  • Unstructured Data Analysis
  • Business Analytics
  • Data Scraping

Eligibility Criteria

A Bachelor’s degree from a recognized university is typically required.

Why Choose an MBA in Analytics & Data Science as a Specialization?

Choosing a specialization in Analytics & Data Science equips you with a high-value skill set that merges technical mastery with executive leadership. Here is why it stands out:

Bridge the Data-Business Gap
Bridge the Data-Business Gap

You will master the rare ability to translate complex machine learning outputs into actionable corporate strategies.

Command Premium Salaries
Command Premium Salaries

As businesses face a shortage of analytical talent, specialists in this field consistently secure top-tier compensation packages.

Strategic Precision
Strategic Precision

Move beyond guesswork by using predictive modeling and statistical tools to forecast trends and optimize organizational performance.

Industry Agnostic Expertise
Industry Agnostic Expertise

From BFSI to healthcare, every modern sector requires data leaders, providing you with unparalleled career mobility.

Future-Ready Leadership
Future-Ready Leadership

Gain expertise in AI-driven decision-making, ensuring your leadership style remains relevant in an increasingly automated global economy.

Skills You’ll Gain with an MBA in Analytics & Data Science

An Online MBA in Analytics & Data Science provides a comprehensive toolkit that merges technical proficiency with executive leadership. You will develop the ability to navigate complex data ecosystems while maintaining a sharp focus on organizational goals and strategic growth.

Skill Category Key Competencies Gained
Technical Mastery Proficiency in Python, R, and SQL for data manipulation, cleaning, and large-scale database management.
Advanced Analytics Application of Machine Learning algorithms, predictive modeling, and statistical inference to forecast trends.
Data Visualization Ability to use tools like Tableau and Power BI to create interactive dashboards and compelling data narratives.
Strategic Leadership Mastering Business Acumen to align data insights with ROI, marketing strategies, and operational efficiency.
Ethical Governance Understanding Data Privacy laws (GDPR/CCPA) and ensuring transparency and fairness in AI-driven models.

Eligibility Criteria

To pursue an Online MBA in Analytics & Data Science program, candidates must meet specific academic and professional benchmarks. These criteria ensure that learners possess the foundational knowledge required to excel in this rigorous blend of technical data study and advanced business management.

Educational qualification

Educational qualification

Candidates must have a 10 + 2 + 3-year bachelor’s degree from a recognized university/institution or an equivalent qualification as recognized by the Association of Indian Universities.

Grades

Grades

Candidates must have a minimum of 50% marks in aggregate in graduation (45% for reserved categories).

Educational qualification

Educational qualification

Candidates must have a 10 + 2 + 3-year bachelor’s degree from a recognized university/institution or an equivalent qualification as recognized by the Association of Indian Universities.

Candidates who have completed 10+2 education or graduate level education outside India must produce a certificate of equivalence issued by the Association of Indian Universities.

Grades

Grades

Candidates must have a minimum of 50% marks in aggregate in graduation.

Other requirements

Other requirements

Candidates who are not Indian citizens or residing outside India and holding NRE or PIO status will be billed an international fee for respective degrees & may need to submit documents mentioned but not limited to CV, address proof, valid visa, PR card & passport copy as part of the application process.

Educational qualification

Educational qualification

Candidates must have a 10 + 2 + 3-year bachelor’s degree from a recognized university/institution or an equivalent qualification as recognized by the Association of Indian Universities.

Grades

Grades

Candidates must have a minimum of 50% marks in aggregate in graduation.

Work experience

Work experience

Work experience in reputed organizations is required. Fresh graduates must submit a Statement of Purpose (SOP) video to apply.

Educational qualification

Educational qualification

Candidates must have a 10+2+3-year bachelor’s degree from a recognized university/institution or an equivalent qualification as recognized by the Association of Indian Universities.

 

Candidates who have completed 10+2 education or graduate level education outside India must produce a certificate of equivalence issued by the Association of Indian Universities.

Grades

Grades

Candidates must have a minimum of 50% marks in aggregate in graduation.

Work experience

Work experience

Work experience in reputed organizations is required. Fresh graduates must submit a Statement of Purpose (SOP) video to apply.

Other requirements

Students & working professionals who are not Indian citizens or residing outside India and holding NRE, PIO status will be billed an international fee for respective degrees & may need to submit documents mentioned but not limited to CV, address proof, valid visa, PR card & passport copy as part of the application process.

Note: NRI & Foreign applicants can find specific MBA eligibility details here

Online MBA in Analytics & Data Science Course Syllabus

The curriculum for the Online MBA in Analytics & Data Science programs is meticulously crafted to blend rigorous data engineering with a high-level business strategy. Students explore a balanced mix of technical mastery and leadership training to solve modern, complex organizational challenges.

Course Fees

Full Fee Payment

INR 1,80,000 INR 1,53,000

15% discount

Annual Fee Payment

INR 90,000 INR 76,500

15% discount

Semester Fee Payment

INR 45,000 INR 38,250

15% discount

No-cost EMI Starting

INR 6,375/Month

12/6-month tenure

An additional non-refundable application fee of INR 500 is to be paid at the time of admission

Learners opting for a loan or financing will not be eligible for any additional discounts or offers.

note
Note for online payments

Full Fee Payment

USD 2,772 USD 2,356

15% discount

Annual Fee Payment

USD 1,386 USD 1,178

15% discount

Semester Fee Payment

USD 693 USD 589

15% discount

note
Note for online payments

Full Fee Payment

USD 3,236 USD 2,751

15% discount

Annual Fee Payment

USD 1,618 USD 1,375

15% discount

Semester Fee Payment

USD 809 USD 688

15% discount

note
Note for online payments

Full Fee Payment

Inclusive of all taxes

Semester Fee Payment

Inclusive of all taxes

note
Note for online payments
Note: NRI & Foreign applicants can find specific MBA fee details here

Full Fee Payment

INR 2,92,000 INR 2,77,400

5% discount

Annual Fee Payment

INR 1,46,000

No discount

Semester Fee Payment

INR 73,000

No discount

No-cost EMI Starting

INR 12,167/Month

24/18/12/6-month tenure

An additional non-refundable application fee of INR 1500 is to be paid at the time of admission

note
Note for online payments

Full Fee Payment

USD 3,800 USD 3,610

5% discount

Annual Fee Payment

USD 1,900

No discount

Semester Fee Payment

USD 950

No discount

An additional non-refundable application fee of USD 50 is to be paid at the time of admission

note
Note for online payments
Note: NRI & Foreign applicants can find specific MBA fee details here

Admission Process

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1

Application

Fill in your basic, education & work experience-related details and pay the application fee to register.

*Fresh graduates applying to a program at MAHE are required to submit a Statement of Purpose (SOP) video as part of their application.

2

Fee payment

Pay the admission fee for the first semester/year or full program.

3

Document upload

Upload supporting documents & submit your application.

4

University approval

The university will evaluate your documents to confirm your admission.

Read Full MBA Admission Details note

Career Opportunities

The professional landscape for graduates is diverse, as every modern industry now relies on data-driven leadership to maintain a competitive edge.

Job Role Description
Data Scientist Builds predictive models and algorithms to solve complex business problems.
Business Intelligence Analyst Creates visual dashboards to help leaders track performance and trends.
Data Architect Manages the technical framework and security of a company's data systems.
Marketing Analyst Studies consumer data to improve campaign reach and customer engagement.
Operations Analyst Uses data to streamline internal processes and improve organizational efficiency.
Read Full MBA Career Details note

Best Universities in India for Online MBA in Analytics & Data Science

Choosing an accredited institution is crucial for ensuring your degree holds value in the competitive job market, especially when seeking programs that balance advanced technical training with strategic management.

University Program Highlights

Manipal University Jaipur (MUJ)

MUJ is a NAAC A+ accredited university that prepares students for the future workplace with its University Grants Commission (UGC)-enabled online degree, which has also received a Quacquarelli Symonds (QS) ranking

Manipal Academy of Higher Education (MAHE)

An institution of eminence, MAHE has been ranked as one of the top five universities of India by the National Institution Ranking Framework (NIRF) – the premier HEI ranking authority in India

Other Online MBA Specializations to Consider

Understanding an MBA specialization helps learners choose a program that matches their career aspirations and future goals. In addition to Analytics & Data Science, Online Manipal also provides other specializations such as:

MBA Specialization Description

MBA in Finance

Helps professionals succeed in top managerial roles in finance.

MBA in Human Resource Management

Enables learners to become well-rounded HR professionals in the evolving landscape.

MBA in Project Management

Covers core areas such as budgeting a project, planning and scheduling it, managing risks through project execution, and ensuring successful final delivery.

MBA in International Business

Prepares professionals for the global business ecosystem.

MBA in Marketing

Helps learners broaden their understanding of diverse areas of marketing, enabling them to excel in a variety of roles.

MBA in Supply Chain Management

Helps learners develop expertise in logistics, procurement, inventory management, transportation, and end-to-end supply chain operations.

MBA in Operations Management

Equips learners with the necessary skills to improve production efficiency and optimize operational workflow.

MBA in BFSI

Helps aspiring professionals develop sought-after skills in data literacy, numerical proficiency, and problem-solving.

MBA in IT & FinTech

Makes learners future-ready to meet the evolving demands of the fast-paced digital landscape and build in-demand FinTech skills and domain knowledge.

MBA in Information System Management

Prepares IT professionals for senior management positions in the rapidly evolving information technology sector.

MBA in Retail Management

Helps learners master retail management skills, including supply chain management, strategic planning, and customer relationship management.

MBA in Digital Marketing

Equips learners with a deeper understanding of the evolving digital marketing landscape, including E-Marketing, IT in Business, Entrepreneurship, and more.

Frequently asked questions

What is the salary of an MBA in Analytics & Data Science?

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Graduates typically earn between ₹8 and ₹15 LPA initially. For mid-to-senior roles, salaries often exceed ₹25 LPA. Compensation varies based on the institution’s reputation, the candidate’s technical proficiency in tools like Python or SQL, and the specific industry, with FinTech and E-commerce offering the highest premiums.

Is an MBA in Analytics & Data Science worth it?

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It is highly worth it because it bridges the gap between technical data science and strategic business management. With companies increasingly relying on big data for competitive advantage, this degree provides high job security, rapid career progression, and a significant salary hike compared to traditional general management roles.

How many years is the MBA in Analytics & Data Science course?

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The program generally lasts 2 years, split into four semesters. Many institutions also offer accelerated executive versions or flexible online formats that can be completed in 18 to 24 months, allowing professionals to balance their studies with existing work commitments.

What are the eligibility criteria for an MBA in Analytics & Data Science?

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Learners applying for an MBA in Supply Chain Management should meet the following admission requirements:

  • A 10+2+3-year Bachelor’s degree from a recognized university/institution
  • Equivalent qualification recognized by the Association of Indian Universities
  • A minimum of 50% aggregate at the Bachelor’s level (45% for applicants of reserved categories)

Who should choose an MBA in Analytics & Data Science?

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This course is for those who enjoy quantitative problem-solving and want to lead data-driven teams. It suits tech professionals moving toward management, or business graduates aiming to gain technical expertise. If you have a curious mind and an affinity for patterns, this is an excellent fit.

What skills will I learn in this course?

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Students acquire a hybrid skill set including data tools like Python and Tableau, statistical analysis, and predictive modeling. Additionally, the curriculum covers management essentials like strategic planning and marketing analytics, alongside the ability to translate complex data into actionable business insights for stakeholders.

What are the career options after an MBA in Analytics & Data Science?

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The degree opens doors to diverse, high-growth roles, including Business Intelligence Developer, Data Science Manager, Marketing Analytics Manager, Operations Analyst, and Risk Management Consultant. It also provides a strong foundation for long-term leadership paths toward becoming a Chief Technology Officer or Chief Data Officer.

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