BUSINESS ANALYTICS
Course overview
The MBA in Business Analytics at Kerala University helps students get good at analyzing data making decisions and understanding business strategies.
This program teaches students the basics of business. Also shows them how to use advanced analytics tools. This way they can get jobs in finance, marketing, operations and business strategies that use AI.
✅ The AICTE and UGC have approved this MBA program.
✅ Students learn by studying real-life cases using AI in business and solving business problems.
✅ People who do this program get to work with tools like Python, R, Tableau, Power BI and SQL. They use these tools to do their work.
✅ The program is made to help students learn what companies need. The companies help design the program. It covers things like machine learning, predictive analytics, big data and business intelligence. The program teaches students about machine learning and predictive analytics and data and business intelligence.
✅ Students in the program also get to do internships with companies and they get to work on projects with these top companies. They work on projects. Do internships, with top 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. People who finish this course will be very important, in changing the way businesses work making things run better and coming up with ideas using advanced Business Analytics.
Graduate employers
People who finish their studies at Trivandrum International Institute of Management also known as T-IIM are really wanted by companies in many different fields. The reason for this is that T-IIM has good connections, with these companies and the students get to learn about things that happen all around the world. T-IIM also makes sure that students learn things that they can actually use which helps them a lot when they start working. Here are some of the areas and companies where graduates of T-IIM have been able to build good careers and become successful at Trivandrum International Institute of Management or T-IIM.
Job roles
The people who finish their education at Trivandrum International Institute of Management which is also known as T-IIM have the skills and knowledge they need to do well in a lot of different jobs, in many industries. Here are some of the jobs that graduates of T-IIM can consider
* Business Analyst
* Data Scientist
* Marketing Analyst
* Financial Analyst
* Risk Analyst
* Data Engineer
* Business Intelligence Analyst
* Operations Analyst
* Product Analyst
Trivandrum International Institute of Management graduates or T-IIM graduates can really excel in these jobs because they have a good understanding of what is required to succeed in these roles. T-IIM graduates have the exposure that is necessary to work well in these 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 person who wants to apply for the job should have a degree from any Indian University. This university should be recognized by the University of Kerala. The University of Kerala is very particular about this. The person should have done the degree in the stream not through any other way. They should have studied in the 10+2+3 pattern or the 10+2+4 pattern.
The student should have passed the degree examination with least 50 percent marks. This is very important. The University of Kerala does not allow rounding off of marks. So if someone gets 49.9 percent it is not enough. They need to get least 50 percent. This is for people who did BA, B.Sc, B.Com and other such courses.
For people who did BE BTech, BSc in Agriculture and other four or five year degree courses they also need to get at 50 percent marks.. For them it is the total marks that matter.
The University of Kerala also wants people who have done their Masters degree to apply. If someone has done their MA, MSc, MCom or any other post graduate degree they can also apply.. They also need to get at least 50 percent marks.
There are some people who will get treatment. These are the SC, ST, SEBC and abled candidates. They will get relaxation as per the University rules. The University of Kerala has rules for this.
To apply for the MBA course the candidates should have a score in one of the entrance exams. These exams are conducted by K-MAT C-MAT or CAT. The University of Kerala only considers the scores from the academic year.
The University of Kerala will make a list of candidates based on their score in the entrance test. This test is very important. Has 80 percent weightage. Then there is the group discussion which has 10 percent weightage. The interview also has 10 percent weightage.
In the group discussion and interview there will be a representative from the University of Kerala. The Dean of the Faculty of Management studies will send the list of representatives to the University of Kerala. The University of Kerala will then tell the colleges who the representativesre
If someone has done their degree or Masters degree from another university they need to get an eligibility certificate from the University of Kerala. This certificate is like a proof that their degree's valid. They need to show this certificate when they come for admission. The University of Kerala will only consider people who have this certificate for admission.
The University of Kerala also has rules, for reserving seats. These rules are based on the Government of Kerala and University of Kerala norms. The University of Kerala follows these norms.
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?
People who finish their studies can get jobs in lots of areas like finance and information technology and healthcare and retail and online shopping. They can work in jobs, like:
✅ Business Analyst where they help make plans based on data.
✅ Data Scientist where they build models using intelligence and machine learning.
✅ Financial Analyst where they manage risks and help with investments.
✅ Marketing Analyst where they try to figure out what customers will do and make marketing campaigns better.
✅ Operations and Supply Chain Analyst where they make processes more efficient and try to predict what will happen.
Some of the companies that hire graduates are Deloitte and Accenture and Amazon and Flipkart and TCS and Infosys and KPMG and Microsoft and Google.
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
