Online MBA in Business Analytics Campus
Online MBA in Business Analytics Campus
Apna Advantage Assured
Online MBA in Business Analytics Campus

Online MBA in Business Analytics at Liverpool University

Techopolis
4Rating
AACSB Accredited
WES Recognised

1200+ Students enrolled in last 30 days

About Online MBA in Business Analytics at Liverpool University

The Online MBA in Business Analytics at Liverpool University caters to those who want to develop their business acumen through the lens of leadership and data-centric decision making. As a completely online program, the MBA offers management skills coupled with the analytical techniques necessary to understand how the strategic use of data allows an organization to elevate its performance, address difficult problems, and create data-driven, sustainable solutions.

The program helps students develop an innovative mindset and business analytics skills by teaching them the fundamentals of business management and the role of business analytics and visualization, predictive analytics, and the analytics toolkit in the decision-making process. This program also advocates the application of strategic analytics to address business problems in order to integrate business analytics and business strategy.

The program was designed to accommodate students' full-time jobs. The program was designed with a focus on flexibility so that students took a less intensive approach to their studies. Students have continuous access to online learning, recorded lectures, participating and supportive sessions, and a variety of other tools throughout the program. Combining sound academic foundations and an emphasis on practice, the Online MBA in Business Analytics, empowers graduates to spearhead data-centric initiatives in any field.

Curriculum Snapshot

Year 1

13 courses

Leadership, People Performance & Communication

Course 1

  • Communicative Leadership: From Clarity to Connection
  • Principles of Effective Business Communication
  • Role of Emotions: Communicating with Clarity and Empathy
  • Personality: Attributes and Inner Qualities of a Leader
  • Team Process: Storytelling as a Leadership Tool
  • Strategic Leadership and Organisational Vision
  • Leading Organisations Through Change
  • The Inner Leader and the Power of Story
  • Structuring and Delivering Effective Presentations
  • Persuasive Communication to Enhance Performance
  • Managerial Decision Making in a Complex Environment
  • Managerial Decision-Making Biases
  • Managerial Decision Making

Marketing Management and Sales

Course 2

  • Marketing Foundation and Customer Value
  • Marketing Foundations: Growth and Customer Value
  • STP Strategy and Positioning
  • Sales and Distribution Management
  • Understanding the Sales Process
  • Territory Planning and Key Account Management
  • Marketing Mix in Practice
  • Product, Brand Experience and Pricing
  • Integrated Marketing Communication
  • Data-Driven and Digital Marketing
  • Data-Driven Marketing Decisions
  • Digital Marketing and Effective Measurement
  • Assets and Creatives in the Digital Mix
  • Marketing Analytics and Dashboards

Accounting & Finance

Course 3

  • Accounting Fundamentals
  • Role of Accounting in Decision Making
  • Building Blocks of Accounting
  • Processing Financial Transactions
  • Preparing Position Statements
  • Preparing the Cash Flow Statement
  • Analysing Financial Statements
  • Horizontal, Vertical, and Trend Analysis
  • Ratio Analysis
  • Financial Forecasting and Modelling
  • Basics of Financial Statement Forecasting
  • Forecasting the Three-Statement Model
  • Principles of Corporate Finance
  • Time Value of Money
  • Estimating Cash Flows
  • Evaluating Projects
  • Working Capital Management
  • Corporate Valuation
  • Fundamental Principles of Valuation
  • Intrinsic Valuation
  • Relative Valuation

Business Strategy & Economics

Course 4

  • Foundations of Business Strategy
  • What Is Strategy and Why It Matters
  • Emergent Strategy, Stakeholders, and Strategic Models
  • Analysing the Company Environment
  • External Environment Analysis
  • Porter's Five Forces and Strategic Groups
  • Internal Environment Analysis
  • Applying VRIO, Value Chain Analysis, and Dynamic Capabilities
  • Competitive Strategy and Competitive Dynamics
  • Competitive Strategy
  • Strategic Positioning and Competitive Dynamics
  • Economic Foundations of Managerial Decisions
  • Fundamentals of Managerial Economics
  • Market Forces: Demand and Supply Analysis
  • Market Structure and Firm Strategy
  • Elasticity and Its Applications
  • Consumer and Producer Behaviour

Data-Based Decision Making

Course 5

  • Business Analytics and Data Literacy
  • Introduction to Analytics and Data-Driven Decision Making
  • Applications of Analytics Across Business Domains
  • Statistical Foundations for Managers
  • Numerical and Graphical Summaries
  • Probability, Bayes' Theorem, and Applications
  • Random Variables and Probability Models
  • Sampling and Confidence Intervals
  • Software and Data
  • Software Programming (R and Python)
  • Data Extraction and Handling (SQL)
  • Time Series Analysis and Forecasting
  • Time Series Basics
  • Foundations and Regression Methods
  • Exponential Smoothing Methods ARIMA Models
  • Model Comparison and Advanced Applications

Operations and Supply Chain Management

Course 6

  • Operation Foundations
  • Introduction to Operations Management and Process Design
  • Managing Service Operations and Variability
  • Lean, Agile, and Quality Systems
  • Supply Chain Fundamentals
  • Fundamentals of Supply Chain Management
  • Network Design and Location Strategy
  • Forecasting, Demand Planning, and Coordination
  • Inventory Management
  • Supply Chain Execution
  • Procurement and Vendor Management
  • Logistics and Transportation
  • Warehousing and Distribution
  • Advanced and Strategic Supply Chains
  • Operations Strategy
  • Sustainability in Operations and Supply Chains
  • The Future of Operations Management

Building with AI

Course 7

  • Foundations of AI, Machine Learning, and Generative AI
  • What AI, Machine Learning, and Generative AI Actually Are
  • Supervised, Unsupervised, and Reinforcement Learning
  • How Large Language Models Work Prompts, Tokens, and Context Windows
  • Prompt Engineering for Business Tasks
  • Spotting AI Opportunities in the Business
  • Mapping Processes Suited to AI
  • Framing Business Problems as AI Solutions
  • Build, Buy, or Automate Decisions
  • Feasibility, Cost, and Risk Assessment
  • Building AI-Powered Workflows and Agents
  • No-Code and Low-Code Automation
  • Connecting Data, Models, and Tools
  • Designing a Simple AI Agent
  • Prototyping, Testing, and Deployment
  • Building a Working Prototype
  • Testing and Evaluating Outputs
  • Measuring Productivity and Impact
  • Responsible Use and Guardrails

Generative AI for Business Leaders

Course 8

  • The Generative AI Landscape for Leaders
  • From Traditional AI to Generative AI
  • Capabilities and Limitations of Generative AI
  • The Tools Shaping the Market
  • Reading the Hype Cycle Critically
  • Generative AI and the Way Organisations Work
  • Impact on Workflows and Roles
  • Redesigning Processes Around AI
  • Productivity and Quality Trade-offs
  • Change Management for AI Adoption
  • Strategic Opportunities and Risks
  • Generative AI as an Innovation Enabler
  • Competitive Advantage and Disruption
  • Risks: Accuracy, Bias, Intellectual Property, and Data Privacy
  • Governance and Responsible AI
  • Integrating Generative AI into Strategy
  • Embedding AI in Business Models
  • AI in Products and Service Delivery
  • Building the Business Case and ROI
  • Crafting an AI Adoption Roadmap

AI Leadership, Ethics & Responsible Transformation

Course 9

  • Leading Yourself and the Transformation
  • Frameworks for Leadership Self-Reflection
  • Personal Development and a Growth Mindset
  • Leading Organisational Transformation
  • Building Change Readiness
  • The Ethics of Organisational Change
  • Ethical Dimensions of Change
  • Balancing Competing Stakeholder Interests
  • Social Responsibility and Inclusion
  • Formulating Ethical Policy Recommendations
  • Leadership in Crisis
  • The Leader's Role in a Crisis
  • Ethical Change Management
  • Decision-Making Under Pressure
  • Communicating Through Uncertainty
  • Cultures of Innovation and Continuous Improvement
  • Ethical and Change-Oriented Leadership
  • Cultivating Creativity and Innovation
  • Psychological Safety and Inclusion
  • Sustaining Continuous Improvement

Introduction to Python (Specialisation)

Course 10

  • Getting Started with Python
  • Data Analysis with Pandas and NumPy
  • Machine Learning Modelling using Scikit-learn

Data Mining and Dashboarding (Specialisation)

Course 11

  • Introduction to Data Mining and SQL
  • Data Visualisation with Tableau

Applied Business Research (1 Month)

Course 12

  • Types of Research
  • Research Process
  • Research Project Management
  • Report Writing and Presentation

Strategic Business Consultancy Project (3 Months)

Course 13

  • Learners complete a research-based consultancy project in their chosen domain
  • Strategy: Digital expansion strategies, market entry, digital transformation, manufacturing efficiency
  • Marketing: Loyalty programmes, marketing campaigns, digital marketing, e-commerce market research
  • Additional functional domains aligned with the selected MBA specialisation

Online MBA in Business Analytics Fees

EASY EMI OPTIONS

EMI STARTS FROM

EMI Starting at ₹40,416

COURSE FEES

₹5,10,000

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EASY EMI OPTIONS AVAILABLE

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Fee Structure for Online MBA in Business Analytics

The Online MBA in Business Analytics offers a student-friendly fee structure. Designed with the student in mind, the fee structure considers how the students prefer to plan their finances, and offers flexible payment options, etc.

If you are eligible, you may also benefit from financing and support options available in the program. We recommend you check the most recent admission info. Enrollment offers the opportunity to see the offered payment plans, as well as familiarize yourself with the pertinent policies and academic calendars prior to finalizing your admission.

Fee Component

Amount

Total Tuition Fees
₹5,10,000 without immersion
EMI Starting at ₹40,416
₹7,15,000 with immersion
EMI Starting at ₹59,583
Total Exam Fees
0
Registration Fees
0

*Fees and course details are subject to change as per university updates

Career Opportunities after Online MBA in Business Analytics

Data is present in almost all business processes throughout industries. Therefore, the graduates of the Online MBA in Business Analytics have the opportunity to enter an array of analytical and leadership roles in various industries. This program offers professionals a bundle of management and analytical skills that allow them to perform as important assets to an organization even in the face of ongoing digital disruption./n/nA few roles that the graduates may qualify for include Business Analyst, Business Intelligence Manager, Data Analytics Manager, Strategy Consultant, Operations Manager, Product Manager, Marketing Analytics Manager, Project Manager, and Digital Transformation Consultant. The graduates can also enter management roles in business strategy, improvement of business performance, customer experience, and operations. The MBA program integrates management and analytics, preparing graduates to enter banking, consulting, technology, healthcare, retail, manufacturing, e-commerce, and other industries driven by data in support of their business logic.

Job Profiles

Business Analyst

Data Analyst

Business Intelligence (BI) Analyst

Analytics Consultant

Data Science Manager

Product Analyst

Marketing Analytics Manager

Operations Analytics Manager

Strategy Analyst

Decision Science Manager

Industries

Information Technology (IT) & IT Services

Banking, Financial Services & Insurance (BFSI)

E-commerce

Consulting

Retail & Consumer Goods

Healthcare & Pharmaceuticals

Manufacturing

Telecommunications

Logistics & Supply Chain

Media & Digital Services

Online program brochure

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Admission Requirements and Eligibility for Online MBA Business Analytics

The Online MBA in Business Analytics is designed for career-focused professionals interested in increasing their managerial acumen while gaining expertise in business analytics. Applicants are usually required to hold an undergraduate degree from an accredited university.

This program is better suited for individuals who are already in the workforce and want to enhance their business leadership skills and use strategic thinking. As this program is offered entirely online, interested applicants must have the ability to access the internet and be willing to participate in online classes. Applicants may be required to submit academic records and/or identification documents. Applicants are encouraged to review the most recent program information before applying to ensure they meet all the requirements to apply.

1

Reserve Seat Online

Reserve your seat from Apna advantage

2

Talk to Counsellor

Our team will connect with you to guide you through the next steps.

3

Complete your application

Submit the required documents and complete the application process with your counselor's help.

4

Pay the Course Fee

Once everything's in place, you can proceed to pay the course fees and secure your admission.

Documents Required For Admission:

  • Scanned Copy of a Passport-size Color Photograph.
  • Scanned Copy of the Original Qualifying Examination Certificate / Marksheet.
  • KYC Documents (Aadhaar Card, PAN, Voter ID, etc).
  • Scanned Copy of Date of Birth Proof (X Marksheet/School Leaving Certificate/Transfer Certificate/Character Certificate).

Online MBA Learning Experience at Liverpool University

The Online MBA in Business Analytics program is designed to be flexible and facilitates the learning of individuals who are already working by integrating elements of self-paced and scheduled study. This allows the learner to adequately manage their academic, professional, and even personal obligations.

The learner is provided access to an online learning platform for the duration of the program that contains all course-related materials, lectures, assignments, and supplementary learning resources. The scheduled live sessions provide an opportunity for the learner to interact directly with the instructor, engage in Q&A, and participate in ancillary and collaborative activities with individuals of varying professional backgrounds.

Students in the program are invited to engage in a variety of case studies, projects, and analytical exercises designed to simulate solving actual business-related issues. This addition of practical learning strengthens concepts and helps to make learning an ongoing process in the program. Furthermore, learner support and academic guidance create an inclusive and positive learning environment designed to keep students motivated and engaged from the point of registration to the end of the program.

Industry Ready

Learn through live and on-demand industry focused classes

Industry Ready

Global Opportunities

Build networks and gain industry insights.

Global Opportunities

Placement Assistance

Get job-ready with expert placement support.

Placement Assistance

Exhaustive Content & Resources

Access e-library resources and free Coursera content.

Exhaustive Content & Resources

FAQs for Online MBA in Business Analytics from Liverpool University

Yes. The program was designed for practicing professionals to have the flexibility to continue working while doing their postgraduate studies with the aid of an online learning format.

Students learn the fundamentals of business strategy, leadership, finance, marketing, and operations management, as well as business analytics. They also cultivate analytical thinking and problem-solving and decision-making skills necessary for the growth of a business.

Yes. The incorporation of case studies, business challenges, projects, and applied analytical exercises enables learners to link academic concepts with real business scenarios.

This program is apt for graduates, early to mid-career professionals, and managers, as well as entrepreneurs and people who would like to assume leadership roles with a solid grounding in business and analytics.

Yes. The program allows graduates to work in many industries, including technology, banking, consulting, healthcare, retail, manufacturing, logistics, and e-commerce. These sectors are looking for graduates who will combine their business skills and structured decision-making.

Business Analytics has become an integral component of management, as businesses look to data to help improve customer experience and enhance processes to help lower the level of business risk and pinpoint areas of business growth. An MBA with this specialization prepares the graduate to successfully analyze business data while also being able to identify and make strategic decisions. This enables the graduate to be adaptable to the emerging business challenges of the modern competitive environment and to fulfill the new leadership requirements at the same time.