Manipal Online University
Data Science & Analytics
Manipal Online University
₹1.4L – ₹1.4L
Total Fees
3 Years
Duration
ONLINE
Mode
★ 4.0
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About This Program at Manipal Online University
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Course Curriculum
| Semester 1 | Semester 2 | Semester 3 | Semester 4 | Semester 5 | Semester 6 |
|---|---|---|---|---|---|
| Principles of Management – Introduction to management concepts, organizational structures, and leadership principles. | Organizational Behavior – Understanding human behavior in organizations, motivation, leadership, and team dynamics. | Database Management Systems (DBMS) – Fundamentals of databases, data storage, and retrieval using SQL. | Predictive Analytics – Techniques to forecast trends and predict outcomes using statistical and machine learning methods. | Big Data Analytics – Introduction to big data concepts, tools, and frameworks for handling large-scale datasets. | Capstone Project / Live Analytics Project – Practical application of analytics concepts to solve real-world business problems. |
| Business Economics – Fundamentals of micro and macroeconomics and their application in business decision-making. | Managerial Economics – Application of economic concepts in managerial decision-making and business strategy. | Business Statistics – Statistical methods for business analysis, probability, and hypothesis testing. | Data Mining & Business Intelligence – Extracting patterns from large datasets and applying insights for business strategy. | Predictive Modeling & Machine Learning Basics – Application of machine learning algorithms to business problems. | Strategic Decision Making with Analytics – Integrating data-driven insights into organizational decision-making. |
| Business Communication – Effective communication skills, professional writing, presentations, and interpersonal communication. | Introduction to Data Analytics – Basics of data analytics, types of data, and its role in business decision-making. | Data Visualization – Techniques to present data effectively using dashboards, charts, and visualization tools. | Operations & Supply Chain Analytics – Using analytics to optimize operations, inventory, and supply chain processes. | E-Commerce & Digital Analytics – Analysis of digital commerce platforms and online consumer behavior. | Ethics, Governance & Data Privacy – Ethical use of data, compliance, and corporate governance in analytics. |
| Fundamentals of Marketing – Basic marketing principles, concepts, and the marketing mix | Business Law – Legal framework affecting business operations, contracts, and compliance. | Financial Accounting I – Principles of accounting, preparation of financial statements, and reporting. | Financial Accounting II – Advanced accounting concepts, corporate reporting, and compliance. | Business Strategy & Analytics – Using analytics to inform strategic business decisions and competitive planning. | Advanced Data Analytics Techniques – Hands-on exposure to advanced analytics methods, dashboards, and reporting tools. |
| Quantitative Techniques I – Introduction to business mathematics and basic statistical tools for decision-making. | Quantitative Techniques II – Advanced statistical and quantitative techniques for analyzing business data. | Marketing Analytics – Application of analytical techniques to marketing data to optimize campaigns and strategies. | Consumer Behavior & Analytics – Analyzing customer data to understand behavior, preferences, and engagement patterns. | Elective / Skill-Based Course – Options may include Advanced Excel Analytics, Python for Analytics, or Tableau. | Elective / Specialization Course – Advanced topics such as Marketing Analytics, Financial Analytics, or Operations Analytics. |
Learning Outcomes
What you will achieve after completing this program
Graduates will develop a strong understanding of essential business subjects, including finance, marketing, organizational behavior, economics, and business communication. This foundation allows them to contextualize analytical findings within broader business strategies and make informed management decisions.
Students gain hands-on experience with industry-standard tools such as Python, R, SQL, Tableau, Excel, and Power BI, enabling them to clean, analyze, visualize, and interpret large datasets. They acquire the technical skills necessary to implement data-driven solutions across various business functions.
Graduates learn to approach business challenges methodically by analyzing complex datasets, identifying patterns, and deriving actionable insights. They develop strong problem-solving capabilities, allowing them to make data-driven recommendations that improve operational efficiency and business performance.
Through live projects, case studies, and simulations, students apply theoretical knowledge to real-world scenarios. They learn to create dashboards, generate reports, conduct predictive modeling, and provide insights that guide strategic and operational decisions in areas such as marketing, finance, and operations.
Eligibility Criteria
Who Can Apply
Educational Qualification: Must have completed 10+2 (or equivalent) from a recognized national or state board, or a 10+3 diploma from a recognized institute.
Minimum Marks Required: At least 40% aggregate marks in 10+2/diploma; for reserved categories, the requirement drops to 35%.
Required Documents
10th & 12th Marksheets
Graduation Certificate
Government ID Proof
Passport Size Photo
Finance Your Education
Total Program Fee
₹1.4L
≈ ₹23K per semester
Low Cost EMI
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Scholarship
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Placement & Careers
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Fee Structure
| Total Program Fee | ₹1.4L – ₹1.4L |
| Semester Fee | ₹23K |
| Duration | 3 Years |
| Mode | ONLINE |
| Exam Fee | Included |
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Data Science & Analytics
Manipal Online University