BUSINESS ANALYTICS
Course overview
The MBA in Business Analytics at Kerala University is designed to help the students with advanced analytical skills, expertise in data driven decision making and strategic insights. This program blends core business principles with cutting-edge analytical methodologies, equipping graduates to excel in leadership positions across finance, marketing, operations, and AI-driven business strategies.
✅ The AICTE and UGC have approved this MBA program.
✅ Students learn by studying real-life cases using AI in business and solving business problems.
✅ Students who do this program get practical experience with tools like Python, R, Tableau, Power BI and SQL.
✅ The curriculum of this program covers machine learning, predictive analytics, big data, and business intelligence.
✅ The program provides students with the chance to work on real-world projects and do internships with leading companies.
What you'll Study
Semester 1
- Principles & Practices of Management
- Organizational Behavior
- Accounting for Managers
- Managerial Economics
- Business Communication
- Business Environment, Ethics & Governance
- Quantitative Techniques
Semester 2
- Operations Research
- Financial & Marketing Management
- Business Law & Research Methodology
- Cybersecurity & Information Systems
- Business Analytics & Data Science
- Statistical Methods Using R & Python
- MOOC Course 1
Semester 3
- Strategic Management
- Big Data Analytics & AI Applications
- Machine Learning & Predictive Analytics
- Marketing Analytics & Consumer Insights
- Operations & Financial Analytics
- Summer Internship (30 Days)
- MOOC Course 2
Semester 4
- Cloud Computing & Big Data for Business
- Business Intelligence & Data Warehousing
- HR & People Analytics
- Capstone Project & Industry Research (60 Days)
Course Structure & Modules
📍 Unit I: Introduction to Business Analytics
✅ Role & Importance of Business Analytics – Data-driven decision-making in enterprises.
✅ Types of Analytics – Descriptive, Diagnostic, Predictive, and Prescriptive Analytics.
✅ Evolution of Business Analytics – From traditional statistics to AI-powered insights.
✅ Key Performance Metrics in Analytics – KPIs, dashboards, and scorecards.
✅ Ethical & Legal Considerations in Analytics – Data privacy, GDPR, compliance issues.
🔹 Key Focus: Understanding core analytics principles, data ethics, and business intelligence frameworks.
📍 Unit II: Data Management & Statistical Analysis
✅ Data Collection & Cleaning – Handling missing values, outliers, and data preprocessing.
✅ Database Management & SQL – Relational databases, cloud storage, and big data processing.
✅ Exploratory Data Analysis (EDA) – Visualizing trends and patterns in data.
✅ Statistical Methods for Business Analytics – Regression, hypothesis testing, probability distributions.
✅ Data Visualization Techniques – Using Tableau, Power BI, and Python for analytics dashboards.
🔹 Key Focus: Extracting, cleaning, and interpreting business data for insights.
📍 Unit III: Predictive Analytics & Machine Learning
✅ Introduction to Machine Learning for Business – Supervised vs. unsupervised learning.
✅ Predictive Modeling Techniques – Regression models, decision trees, and time-series forecasting.
✅ Clustering & Segmentation – Customer segmentation using K-Means & Hierarchical clustering.
✅ Deep Learning & AI in Business Analytics – Neural networks, NLP, and automation.
✅ Case Studies in Predictive Analytics – Credit scoring, fraud detection, demand forecasting.
🔹 Key Focus: Applying machine learning to solve real-world business challenges.
📍 Unit IV: Business Intelligence & Data-Driven Decision Making
✅ Business Intelligence Systems (BI) – SAP, Oracle BI, Microsoft Power BI.
✅ Data Warehousing & ETL Processes – Extract, Transform, Load methodologies.
✅ Optimization Techniques in Business Analytics – Linear programming, Monte Carlo simulation.
✅ AI-Driven Decision Making – Automation in finance, HR, marketing, and operations.
✅ Real-World Applications of BI – Amazon’s recommendation engine, Google Ads optimization.
🔹 Key Focus: Leveraging BI tools and AI-driven insights for business decision-making.
📍 Unit V: Future Trends & Case Studies in Business Analytics
✅ Emerging Trends in Analytics – AI, Blockchain, Digital Twins, IoT-based analytics.
✅ Big Data & Cloud Computing in Analytics – Hadoop, Spark, AWS, and Google Cloud.
✅ Ethical AI & Bias Mitigation in Business Analytics – Fairness in AI-driven decisions.
✅ Industry Case Studies:
📌 Netflix – Personalized recommendation system using AI.
📌 Uber – Surge pricing model based on real-time analytics.
📌 Google – Ad ranking and optimization through machine learning.
📌 Walmart – Inventory optimization using predictive analytics.
🔹 Key Focus: Future-proofing analytics skills with cutting-edge AI & big data trends.
🛠️ Hands-On Learning & Industry Exposure
✅ Internships with top analytics firms – Deloitte, Accenture, TCS, Amazon, Google.
✅ Live projects in AI-driven decision-making – Fraud detection, customer segmentation.
✅ Industry certifications – Google Data Analytics, AWS Cloud Practitioner, Tableau Certified Analyst.
✅ Workshops on AI & Big Data – Hands-on training in Python, R, Power BI, and SQL.
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Your Future Career
The future of Business Analytics is changing fast. Companies are using data to make decisions. This is becoming very important in all industries. As companies start to use Artificial Intelligence and big data more, they need people who are good at analytics. Graduates from this course will play an important role in changing the way businesses work making things run better and coming up with ideas using advanced Business Analytics.
Graduate employers
Students who finish their studies at Trivandrum International Institute of Management ( T-IIM), are highly sought after by companies in many different fields. The reason for this is that T-IIM has strong industry connections, and the students get to learn about business trends happening around the world. T-IIM also makes sure that students learn skills that they can actually use, which helps them when they start working.
Job roles
Students who graduate from Trivandrum International Institute of Management (T-IIM) will have the skills and knowledge to get success in their careers. Some of the career avenues that T-IIM pass outs can look here for are:
Business Analyst
* Data Scientist
* Marketing Analyst
* Financial Analyst
* Risk Analyst
* Data Engineer
* Business Intelligence Analyst
* Operations Analyst
* Product Analyst
T-IIM graduates are well prepared for these roles because they understand what it takes to succeed in today's workplace. Through their academic learning and industry exposure, they develop the skills and confidence needed to perform effectively in a variety of professional positions.
Year Program
Days of summer internship
External Marks ( By the University)
Internships - Criteria Marks Internal
Days of Major Project
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FAQ
Eligibility Criteria ?
The candidate should have passed the degree from any Indian University under the regular stream recognised by the University of Kerala and shall be in the pattern of 10+2+3 (or in 10+2+4 pattern). In all the cases the student should have passed the degree examination with not less than 50% marks/equivalent grade (no rounding off allowed) in Part III /core plus complimentary in BA, B.Sc., B.Com. etc., or 50% marks/equivalent grade (no rounding off allowed) in aggregate in case of B.E/ B.Tech, B.Sc.
The candidates who have passed M.A./M.Sc./M.Com.or any other recognised PG Degree of the University of Kerala with 50% of marks/ equivalent grade in aggregate are also eligible for admission. Relaxation to SC/ST, SEBC and Differently abled candidates as per University Rules.
The provisional rank list for admission to the MBA programme shall be prepared on the basis of the score obtained by the candidate in the Entrance Test (80% weightage), Group Discussion (10% weightage) and Interview (10% weightage).
A representative of the University will be present during the Group discussion and Interview held at the colleges.
Candidates who have passed their Degree/Post Graduation from other Universities should produce the Eligibility Certificate issued by University of Kerala (Course Equivalency Certificate) at the time of admission. Only those candidates who will produce eligibility certificate and mark list of Degree or Master’s Degree from other Universities at the time of counselling will be considered for admission.
Reservation of seats is as per the norms of the Government of Kerala and University of Kerala from time to time.
The MBA in Business Analytics at Kerala University is designed for students to learn how to make decisions using data. This program teaches students about business analytics, as well as how to use artificial intelligence and machine learning. Students also learn advanced business intelligence techniques.
The MBA in Business Analytics at Kerala University is meant to help students learn to make decisions using data. The program gives students a grounding in business analytics and in the use of artificial intelligence and machine learning. Students are also taught advanced business intelligence techniques.
Kerala University’s MBA in Business Analytics program teaches students the fundamentals of business and analytics tools such as Python, R, Tableau, and Power BI. This helps students to prepare for careers in data analytics, artificial intelligence and consulting after graduating from the MBA in Business Analytics program at Kerala University.
What is the MBA in Business Analytics program about?
The MBA in Business Analytics at Kerala University is made for students to learn how to make decisions using data. This program teaches students about Business Analytics. How to use artificial intelligence and machine learning. Students also learn about business intelligence techniques.
The MBA in Business Analytics program at Kerala University teaches students the basics of business and also about analytics tools like Python and R and Tableau and Power BI. This helps students get jobs in data analytics and artificial intelligence and consulting after they graduate from the MBA, in Business Analytics program at Kerala University.
What are the career opportunities after completing this MBA?
Graduates have the opportunity to work in a range of sectors including finance, IT, healthcare, retail and e-commerce in roles such as:
Business Analyst Data Scientist – Building AI & machine learning models.
✅ Financial Analyst – Investment insights and risk management.
✅ Marketing Analyst – Forecasting customer behaviour and optimising campaigns.
✅ Analyst Operations & Supply Chain – Forecasting & process efficiency
Graduates have the opportunity to work in a range of sectors including finance, IT, healthcare, retail and e-commerce in roles such as:
Business Analyst Data Scientist – Building AI & machine learning models.
✅ Financial Analyst – Investment insights and risk management.
✅ Marketing Analyst – Forecasting customer behaviour and optimising campaigns.
✅ Analyst Operations & Supply Chain – Forecasting & process efficiency
📌 Top Companies - Deloitte, Accenture, Amazon, Flipkart, TCS, Infosys, KPMG, Microsoft, Google.
As industries invest heavily in AI driven business solutions, the business analytics market in India is expected to grow at the rate of 20% per annum. With sectors like banking, fintech, healthcare and retail the need for data driven decision making has increased exponentially.
📌 Salary Growth – Freshers 6-10 LPA, Mid Level 12-18 LPA, Senior Roles 25+ LPA
📌 New Trends – AI analytics, blockchain in finance, predictive modelling, IoT business insights.
No prior coding experience necessary. The course includes basic training in:
✅ Data Visualisation (Tableau & Power BI)
✅ AI & Machine Learning Applications
Here, learning is transparent and your true potential is brought to life. Register today and confidently walk into the person you are meant to be.
What is the scope of Business Analytics in India?
India’s business analytics market is projected to grow at 20% annually, with industries investing heavily in AI-driven business solutions. The demand for data-driven decision-making in sectors like banking, fintech, healthcare, and retail has skyrocketed.
📌 Salary Growth – Freshers: ₹6-10 LPA, Mid-Level: ₹12-18 LPA, Senior Roles: ₹25+ LPA.
📌 Emerging Trends – AI-powered analytics, blockchain in finance, predictive modeling, IoT-driven business insights.
Do I need coding experience for this course?
No prior coding experience is required. The course includes foundational training in:
✅ Python & R for Business Analytics
✅ SQL for Data Analysis
✅ Tableau & Power BI for Data Visualization
✅ Machine Learning & AI Applications
