GITAM, Visakhapatnam-image

BBA in Marketing Analytics at GITAM (Gandhi Institute of Technology and Management)

GITAM, Visakhapatnam, a premier Deemed to be University established in 1980 in Rushikonda, holds a NAAC 'A++' grade. Offering diverse UG, PG, and doctoral programs in engineering, management, and sciences, it is recognized for academic strength, a 15:1 student-faculty ratio, and robust placements.

READ MORE
location

Visakhapatnam, Andhra Pradesh

Compare colleges

About the Specialization

What is Marketing Analytics at GITAM (Gandhi Institute of Technology and Management) Visakhapatnam?

This Marketing Analytics program at GITAM University focuses on equipping students with advanced analytical skills to interpret complex marketing data and drive strategic business decisions. Given India''''s rapidly expanding digital economy and consumer market, there''''s a significant demand for professionals who can leverage data to optimize marketing efforts and enhance customer experiences across various industries. The program distinguishes itself by combining core business administration principles with specialized training in data science, making graduates uniquely positioned to thrive in the modern marketing landscape.

Who Should Apply?

This program is ideal for fresh graduates seeking entry into the dynamic field of marketing analytics, providing a solid foundation in both business and data analysis. It also caters to working professionals in marketing, sales, or data roles who aim to upskill in specialized analytical techniques. Career changers transitioning into the digital marketing or business intelligence sectors, particularly those with a quantitative aptitude, will find the curriculum highly relevant and transformative. A strong interest in data, consumer behavior, and strategic thinking is a prerequisite for success.

Why Choose This Course?

Graduates of this program can expect diverse India-specific career paths, including Marketing Analyst, Data Scientist (Marketing), Digital Marketing Specialist, Business Intelligence Analyst, or Customer Insights Manager in leading Indian and multinational companies. Entry-level salaries typically range from INR 4-7 lakhs per annum, with experienced professionals earning upwards of INR 10-15 lakhs, depending on skills and company. Growth trajectories are steep in the data-driven marketing domain, aligning with professional certifications in analytics tools like Google Analytics, Tableau, or advanced Excel, thereby enhancing employability.

Student Success Practices

Foundation Stage

Master Business Fundamentals and Communication- (Semester 1-2)

Dedicate significant effort to understanding core business concepts in management, accounting, economics, and statistics. Simultaneously, hone business communication and presentation skills through regular practice, group discussions, and mock presentations. This strong foundation is crucial for translating analytical insights into actionable business strategies.

Tools & Resources

Textbooks, Online business courses (e.g., Coursera, edX), Toastmasters International for public speaking

Career Connection

A strong grasp of business fundamentals and effective communication ensures you can understand business problems and articulate solutions clearly to non-technical stakeholders, a vital skill for marketing analysts during placements.

Excel and Basic Data Proficiency- (Semester 1-2)

Develop advanced proficiency in spreadsheet software like Microsoft Excel for data organization, basic analysis, and visualization. Explore online tutorials and practical exercises to become adept at formulas, functions, and pivot tables. This lays the groundwork for more complex analytical tools.

Tools & Resources

Microsoft Excel, Udemy/LinkedIn Learning courses on Excel for Business, Practice datasets

Career Connection

Excel proficiency is a non-negotiable skill for entry-level analytics roles in India, often serving as the primary tool for initial data manipulation and reporting in many organizations, directly impacting internship and job readiness.

Active Participation in Business Clubs and Competitions- (Semester 1-2)

Join relevant student clubs (e.g., Marketing Club, Data Analytics Club) and actively participate in intra-college and inter-college business plan competitions, case studies, and quizzes. This fosters critical thinking, teamwork, and an early understanding of business challenges.

Tools & Resources

Campus business clubs, Inter-collegiate competition platforms (e.g., Unstop, Dare2Compete)

Career Connection

Participation demonstrates initiative and practical application of knowledge, making your resume stand out to recruiters and developing soft skills essential for corporate roles in India.

Intermediate Stage

Deep Dive into Marketing Analytics Tools & Techniques- (Semester 3-5)

Beyond theoretical knowledge, actively learn and apply marketing analytics tools such as Google Analytics, basic SQL for data extraction, and R/Python for statistical analysis. Work on mini-projects using real or simulated marketing datasets to solidify your understanding of segmentation, targeting, and predictive modeling.

Tools & Resources

Google Analytics Academy, SQLZoo, Codecademy for Python/R, Kaggle datasets

Career Connection

Hands-on experience with industry-standard tools and techniques is highly valued by Indian companies. This practical exposure directly enhances your portfolio for internships and specialized analytics positions.

Seek Industry Mentorship and Networking- (Semester 3-5)

Actively network with marketing analytics professionals through LinkedIn, industry events, and alumni platforms. Seek mentorship to understand current industry trends, career paths, and gain insights into real-world applications of analytics. Attend webinars and guest lectures by industry experts.

Tools & Resources

LinkedIn, Industry conferences/webinars (e.g., Marketing Conclave), GITAM Alumni Network

Career Connection

Networking opens doors to internship opportunities and provides valuable career guidance, helping you understand the Indian job market for marketing analytics and prepare for specific roles.

Undertake Practical Internships and Live Projects- (Semester 4-5)

Secure at least one summer internship or work on live projects with companies, focusing on applying marketing analytics concepts. This provides invaluable practical experience, helps build a professional network, and translates theoretical knowledge into tangible skills.

Tools & Resources

College placement cell, Internshala, Naukri.com, Industry contacts

Career Connection

Internships are often a direct pipeline to full-time employment in India. They demonstrate your capability to apply learned skills in a corporate setting and build a crucial work portfolio for placements.

Advanced Stage

Build a Robust Portfolio with Capstone Projects- (Semester 6)

Focus intently on your final year project, ensuring it addresses a complex, real-world marketing analytics problem. Utilize advanced tools like Tableau/Power BI for data visualization and advanced statistical models. Showcase your end-to-end analytical capabilities from data cleaning to actionable insights.

Tools & Resources

Tableau Public, Power BI Desktop, GitHub for project showcasing, Mentors for project guidance

Career Connection

A strong, well-documented project serves as a compelling proof of skill to recruiters during placement interviews, directly impacting your chances of securing a high-quality job in Indian companies.

Prepare for Placements with Mock Interviews and Aptitude Tests- (Semester 6)

Engage in rigorous placement preparation, including mock interviews (technical, HR, and case study based) and practice aptitude tests. Refine your resume and cover letter, tailoring them for marketing analytics roles. Focus on behavioral questions and STAR method responses.

Tools & Resources

Placement cell resources, Online aptitude test platforms (e.g., IndiaBix), Interview prep guides

Career Connection

Thorough preparation is critical for success in campus placements, which are highly competitive in India. It ensures you can effectively articulate your skills and potential to prospective employers.

Continuous Learning and Specialization- (Semester 5-6 and beyond)

Identify a niche within marketing analytics (e.g., e-commerce analytics, social media analytics, pricing analytics) and pursue advanced certifications or online courses in that area. Stay updated with emerging technologies like AI and machine learning in marketing through blogs, journals, and industry reports.

Tools & Resources

Google Digital Garage, Marketing Analytics certifications, Industry blogs (e.g., MarketingProfs)

Career Connection

Specialization and continuous learning are key for long-term career growth in the fast-evolving Indian analytics market, helping you stay relevant and advance into leadership roles.

Program Structure and Curriculum

Eligibility:

  • Passed 10+2 or equivalent examination with at least 50% aggregate marks.

Duration: 3 years (6 semesters)

Credits: 136 Credits

Assessment: Internal: 40%, External: 60%

Semester-wise Curriculum Table

Semester 1

Subject CodeSubject NameSubject TypeCreditsKey Topics
101010101Business MathematicsGeneral Core4Sets, Relations and Functions, Matrices and Determinants, Commercial Arithmetic, Differential Calculus, Integral Calculus
101010102Business CommunicationGeneral Core4Fundamentals of Communication, Oral Communication, Written Communication, Reading Comprehension, Business Correspondence
101010103Principles of ManagementGeneral Core4Nature and Functions of Management, Planning, Organizing, Staffing and Directing, Controlling, Contemporary Management Practices
101010104Financial AccountingGeneral Core4Introduction to Accounting, Recording of Transactions, Preparation of Financial Statements, Valuation of Inventory, Depreciation
101010105Spreadsheet for Business DecisionsGeneral Core4Introduction to Excel, Data Analysis Tools, Financial Functions, Statistical Functions, Goal Seek and Solver
101010106Environmental StudiesValue Added Course2Ecosystems, Biodiversity and its Conservation, Environmental Pollution, Social Issues and the Environment, Human Population and Environment

Semester 2

Subject CodeSubject NameSubject TypeCreditsKey Topics
101010107Business StatisticsGeneral Core4Introduction to Statistics, Probability and Probability Distributions, Sampling and Estimation, Hypothesis Testing, Correlation and Regression
101010108Marketing ManagementGeneral Core4Introduction to Marketing, Market Segmentation, Targeting, Positioning, Product and Pricing Decisions, Place and Promotion Decisions, New Trends in Marketing
101010109Managerial EconomicsGeneral Core4Introduction to Managerial Economics, Demand Analysis and Forecasting, Production and Cost Analysis, Market Structures and Pricing Decisions, Macroeconomic Indicators
101010110Human Resource ManagementGeneral Core4Introduction to HRM, Human Resource Planning and Recruitment, Selection and Placement, Training and Development, Performance Management and Compensation
101010111Research Methodology for BusinessGeneral Core4Introduction to Business Research, Research Design, Data Collection Methods, Sampling Design, Data Analysis and Report Writing
101010112Design Thinking and InnovationValue Added Course2Introduction to Design Thinking, Empathize and Define, Ideate and Prototype, Test and Implement, Innovation and Creativity

Semester 3

Subject CodeSubject NameSubject TypeCreditsKey Topics
101010113Cost and Management AccountingGeneral Core4Introduction to Cost Accounting, Cost Concepts and Classification, Costing Methods, Budgeting and Budgetary Control, Standard Costing and Variance Analysis
101010114Business LawGeneral Core4Indian Contract Act 1872, Sale of Goods Act 1930, Negotiable Instruments Act 1881, Consumer Protection Act 2019, Intellectual Property Rights
101010115Digital MarketingProgram Core4Introduction to Digital Marketing, Search Engine Optimization (SEO), Social Media Marketing, Content Marketing and Email Marketing, Digital Advertising and Analytics
101010116Fundamentals of Marketing AnalyticsProgram Core4Introduction to Marketing Analytics, Data Collection and Management, Descriptive Analytics, Diagnostic Analytics, Ethical Considerations in Marketing Analytics
101010117Entrepreneurship DevelopmentGeneral Core4Concept of Entrepreneurship, Entrepreneurial Process, Business Plan Preparation, Sources of Finance for Startups, Legal and Regulatory Framework for Entrepreneurship
101010118Verbal AbilityValue Added Course2Vocabulary and Grammar, Reading Comprehension, Sentence Correction, Para Jumbles, Critical Reasoning

Semester 4

Subject CodeSubject NameSubject TypeCreditsKey Topics
101010119Financial ManagementGeneral Core4Introduction to Financial Management, Capital Budgeting Decisions, Working Capital Management, Cost of Capital and Capital Structure, Dividend Decisions
101010120Operations ManagementGeneral Core4Introduction to Operations Management, Process Design and Facility Layout, Capacity and Location Planning, Inventory Management, Quality Management
101010121Consumer BehaviourProgram Core4Introduction to Consumer Behavior, Consumer Decision Making Process, Individual Influences on Consumer Behavior, Group and Cultural Influences, Consumer Research and Ethics
101010122Marketing ResearchProgram Core4Introduction to Marketing Research, Problem Definition and Research Design, Data Collection and Measurement, Sampling and Data Preparation, Data Analysis and Report Writing
101010XXXOpen Elective - IOpen Elective4
101010123Business Communication and Presentation SkillsValue Added Course2Advanced Business Correspondence, Effective Presentation Strategies, Public Speaking Skills, Interpersonal Communication, Negotiation and Conflict Resolution

Semester 5

Subject CodeSubject NameSubject TypeCreditsKey Topics
101010124Organisational BehaviourGeneral Core4Introduction to Organizational Behavior, Individual Behavior, Group Dynamics and Teamwork, Leadership and Motivation, Organizational Culture and Change Management
101010125Business Policy and Strategic ManagementGeneral Core4Introduction to Strategic Management, Strategic Analysis and Formulation, Strategy Implementation, Strategic Control, Corporate Social Responsibility and Ethics
101010126Web and Social Media AnalyticsProgram Core4Introduction to Web Analytics, Key Metrics and KPIs, Google Analytics, Social Media Listening, Campaign Performance Measurement
101010127Data Visualization for MarketingProgram Core4Introduction to Data Visualization, Principles of Effective Visualization, Tools for Data Visualization (e.g., Tableau, Power BI), Storytelling with Data, Creating Dashboards for Marketing Insights
Sales AnalyticsProgram Elective4Introduction to Sales Analytics, Sales Forecasting, Sales Performance Measurement, Sales Territory Optimization, Sales Funnel Analysis
Customer Relationship Management (CRM) AnalyticsProgram Elective4Introduction to CRM Analytics, Customer Lifetime Value (CLV), Customer Segmentation, Churn Prediction, Customer Loyalty Programs
Pricing AnalyticsProgram Elective4Introduction to Pricing Analytics, Pricing Strategies, Price Elasticity of Demand, Competitive Pricing Analysis, Dynamic Pricing Models
Retail AnalyticsProgram Elective4Introduction to Retail Analytics, Store Performance Analysis, Merchandise Planning and Assortment, Supply Chain Analytics in Retail, Customer Analytics in Retail
101010XXXInternshipInternship2Practical Application of Marketing Analytics Concepts, Industry Exposure, Problem-solving in Real-world Scenarios, Report Writing, Presentation of Internship Findings

Semester 6

Subject CodeSubject NameSubject TypeCreditsKey Topics
101010128International BusinessGeneral Core4Introduction to International Business, Theories of International Trade, Global Business Environment, International Marketing Strategies, International Human Resource Management
101010129Business Ethics and Corporate GovernanceGeneral Core4Introduction to Business Ethics, Ethical Decision Making, Corporate Governance Principles, Role of Board of Directors, Whistle-blowing and Social Responsibility
101010130Predictive Modelling for MarketingProgram Core4Introduction to Predictive Analytics, Regression Models, Classification Models (e.g., Logistic Regression, Decision Trees), Clustering Techniques, Time Series Forecasting
101010131Marketing Automation and AIProgram Core4Introduction to Marketing Automation, Marketing Automation Platforms, AI in Marketing, Personalization and Customer Journey Mapping, Ethical Implications of AI in Marketing
Advertising AnalyticsProgram Elective4Introduction to Advertising Analytics, Campaign Performance Metrics, Ad Effectiveness Measurement, Media Mix Modeling, Attribution Models
E-commerce AnalyticsProgram Elective4Introduction to E-commerce Analytics, Website Traffic Analysis, Conversion Rate Optimization (CRO), Customer Journey Analytics in E-commerce, Fraud Detection and Security Analytics
Sports Marketing AnalyticsProgram Elective4Introduction to Sports Marketing Analytics, Fan Engagement Metrics, Sponsorship Valuation, Ticketing and Pricing Analytics, Social Media Analytics in Sports
Healthcare Marketing AnalyticsProgram Elective4Introduction to Healthcare Marketing, Patient Journey Analytics, Healthcare Market Segmentation, Digital Health Marketing, Ethical Considerations in Healthcare Marketing
101010132Project WorkProject6Problem Identification and Formulation, Data Collection and Analysis, Application of Marketing Analytics Tools, Interpretation of Results and Recommendations, Project Report Writing and Presentation
whatsapp

Chat with us