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MBA in Name Business Analytics Seats Na at Federal Institute of Science And Technology (FISAT)
Ernakulam, Kerala
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About the Specialization
What is {"name": "Business Analytics", "seats": "NA"} at Federal Institute of Science And Technology (FISAT) Ernakulam?
This Business Analytics program at Federal Institute of Science And Technology focuses on equipping students with the skills to interpret complex data, identify trends, and make informed business decisions. With India''''s rapidly expanding digital economy and the rise of data-driven enterprises, this specialization is highly relevant, addressing the critical demand for analytics professionals across various sectors. The program differentiates itself by blending core MBA principles with advanced analytical techniques.
Who Should Apply?
This program is ideal for fresh graduates seeking entry into the high-demand field of data analytics, offering a strong foundation in both business and technology. It also caters to working professionals aiming to upskill in data-driven strategies for career advancement. Furthermore, individuals looking for a career change into analytical roles within the Indian industry, especially those with quantitative backgrounds, will find this program beneficial.
Why Choose This Course?
Graduates of this program can expect promising career paths in India as Data Analysts, Business Intelligence Developers, Marketing Analysts, Financial Modelers, and Consultants. Entry-level salaries typically range from INR 4-7 LPA, with experienced professionals potentially earning INR 12-25+ LPA. The growth trajectories are robust, with opportunities to lead analytics teams in Indian IT giants, startups, and MNCs, aligning with global professional certifications in data science.
Student Success Practices
Foundation Stage
Master Core Business & Statistical Fundamentals- (Semester 1-2)
Dedicate time to thoroughly understand management principles, economics, accounting, and especially business statistics. These form the bedrock for advanced analytics. Utilize online resources like NPTEL for conceptual clarity and solve practice problems regularly to solidify quantitative skills.
Tools & Resources
NPTEL courses, Khan Academy (for statistics), Textbook exercises
Career Connection
A strong grasp of these fundamentals ensures that analytical insights are grounded in business reality, making graduates more effective in deriving actionable intelligence for Indian enterprises.
Develop Proficiency in Basic Analytics Tools- (Semester 1-2)
Start early with hands-on practice in Excel for data manipulation and visualization, and begin exploring basic programming in R or Python (e.g., for data cleaning and simple statistical analysis). Leverage lab sessions and online tutorials to build practical skills.
Tools & Resources
Microsoft Excel, RStudio/Jupyter Notebooks, Coursera/Udemy introductory courses
Career Connection
Early proficiency in these tools is crucial for internships and entry-level analyst roles, as most Indian companies expect candidates to be comfortable with data processing and reporting.
Engage in Peer Learning and Discussion Groups- (Semester 1-2)
Form study groups to discuss complex topics and collaborate on assignments. Explaining concepts to peers enhances understanding and exposes different problem-solving approaches. Participate in case study discussions to apply theoretical knowledge to practical scenarios.
Tools & Resources
Collaborative online platforms, Case study books
Career Connection
Improves teamwork, communication, and critical thinking skills, which are highly valued by Indian employers for collaborative project environments.
Intermediate Stage
Undertake Mini-Projects and Kaggle Competitions- (Semester 3)
Apply newly learned predictive analytics and visualization techniques by working on small, independent data projects. Participate in data science competitions on platforms like Kaggle or Analytics Vidhya to test skills against real-world datasets and learn from community solutions.
Tools & Resources
Kaggle, Analytics Vidhya, GitHub (for project showcasing)
Career Connection
Building a portfolio of projects demonstrates practical application abilities to recruiters for internships and placements in Indian companies, providing a significant competitive edge.
Seek Industry Exposure through Summer Internship- (Semester 3 (during summer break))
Actively pursue a relevant summer internship in a company with a strong analytics division. Focus on understanding real-world business problems, data pipelines, and the tools used in a professional setting. Network with industry professionals during this period.
Tools & Resources
College placement cell, LinkedIn, Naukri.com
Career Connection
Internships are often a direct pathway to pre-placement offers (PPOs) in India and provide invaluable experience that makes graduates immediately productive upon joining an organization.
Specialize in a Domain-Specific Analytics Area- (Semester 3-4)
Choose electives strategically in Semester 3 and 4 (e.g., Marketing Analytics, Financial Analytics, HR Analytics) that align with career interests. Deepen knowledge in a specific business function by focusing on relevant datasets and industry reports.
Tools & Resources
Domain-specific journals, Industry whitepapers, Specialized online courses
Career Connection
Developing expertise in a niche analytics area makes graduates highly sought after by companies looking for specialized talent, leading to better roles and salary prospects in competitive Indian markets.
Advanced Stage
Excel in Capstone Project and Viva Voce- (Semester 4)
Invest significant effort in the final year project, aiming for an innovative and impactful solution to a real business problem. Prepare thoroughly for the comprehensive viva voce by reviewing all core subjects and presenting the project with confidence and clarity.
Tools & Resources
Mentorship from faculty, Industry mentors, Presentation tools
Career Connection
A well-executed project and confident viva performance can be a deciding factor in securing top placements, showcasing both technical and communication skills to potential employers.
Focus on Placement Preparation and Interview Skills- (Semester 4)
Actively participate in mock interviews, group discussions, and aptitude tests organized by the college''''s placement cell. Refine your resume and LinkedIn profile, highlighting projects, internships, and analytical skills. Practice explaining complex concepts simply.
Tools & Resources
Placement cell workshops, Mock interview platforms, Resume builders
Career Connection
This direct preparation significantly increases the chances of converting interview opportunities into placement offers from leading companies recruiting on campus.
Build a Professional Network and Stay Updated- (Throughout the program, intensifying in Semester 4)
Attend industry seminars, webinars, and workshops related to data science and business analytics in India. Connect with alumni and professionals on LinkedIn. Stay updated with the latest trends, tools, and algorithms in the analytics ecosystem through continuous learning.
Tools & Resources
LinkedIn, Industry events (e.g., NASSCOM, TiE events), Tech blogs and newsletters
Career Connection
Networking opens doors to hidden job opportunities, mentorship, and career guidance, which are crucial for long-term career growth and navigating the Indian professional landscape effectively.
Program Structure and Curriculum
Eligibility:
- Bachelor''''s degree with 50% marks (45% for reserved categories) from any recognized university, and a valid score in CAT/CMAT/KMAT/XAT/MAT entrance examinations. Final year students can also apply.
Duration: 2 years / 4 semesters
Credits: 75 Credits
Assessment: Internal: 40%, External: 60%
Semester-wise Curriculum Table
Semester 1
| Subject Code | Subject Name | Subject Type | Credits | Key Topics |
|---|---|---|---|---|
| 201BA101 | Management Principles and Practices | Core | 3 | Introduction to Management, Planning and Decision Making, Organizing and Staffing, Directing and Controlling, Organizational Theories |
| 201BA102 | Managerial Economics | Core | 3 | Introduction to Managerial Economics, Demand and Supply Analysis, Production and Cost Analysis, Market Structures, Macroeconomic Environment |
| 201BA103 | Accounting for Management | Core | 3 | Financial Accounting Principles, Financial Statement Analysis, Cost Accounting, Budgeting and Control, Management Reporting |
| 201BA104 | Business Statistics | Core | 3 | Descriptive Statistics, Probability and Distributions, Sampling and Estimation, Hypothesis Testing, Regression Analysis |
| 201BA105 | Organizational Behavior | Core | 3 | Foundations of OB, Individual Behavior, Group Dynamics, Leadership and Power, Organizational Culture and Change |
| 201BA106 | Business Communication | Core | 3 | Principles of Communication, Written Communication, Oral Communication, Non-Verbal Communication, Digital Communication |
Semester 2
| Subject Code | Subject Name | Subject Type | Credits | Key Topics |
|---|---|---|---|---|
| 201BA201 | Financial Management | Core | 3 | Financial System and Markets, Capital Budgeting, Working Capital Management, Capital Structure, Dividend Policy |
| 201BA202 | Marketing Management | Core | 3 | Marketing Concepts and Environment, Market Segmentation and Targeting, Product and Pricing Decisions, Promotion and Distribution, Marketing Strategies |
| 201BA203 | Human Resource Management | Core | 3 | Introduction to HRM, HR Planning and Recruitment, Training and Development, Performance Management, Compensation and Benefits |
| 201BA204 | Operations Management | Core | 3 | Introduction to Operations Management, Process Design and Planning, Inventory Management, Quality Management, Supply Chain Fundamentals |
| 201BA205 | Business Research Methods | Core | 3 | Research Design, Data Collection Methods, Sampling Techniques, Data Analysis Tools, Report Writing |
| 201BA206 | Management Information Systems | Core | 3 | Foundations of MIS, Information Technology Infrastructure, Business Applications, E-commerce and E-business, Information Systems Security |
Semester 3
| Subject Code | Subject Name | Subject Type | Credits | Key Topics |
|---|---|---|---|---|
| 201BA301 | Legal and Business Environment | Core | 3 | Indian Contract Act, Companies Act, Consumer Protection Act, Competition Law, Environmental Laws |
| 201BA302 | Entrepreneurial Management | Core | 3 | Concept of Entrepreneurship, Creativity and Innovation, Business Plan Development, Sources of Funding, Startup Ecosystem in India |
| 201BA303 | Supply Chain and Logistics Management | Core | 3 | Introduction to SCM, Logistics Management, Inventory and Warehousing, Transportation, Global Supply Chains |
| 201BA304(E) | Fundamentals of Business Analytics | Elective | 3 | Introduction to Business Analytics, Descriptive Analytics, Diagnostic Analytics, Predictive Analytics Overview, Prescriptive Analytics Overview, Analytics Tools (Excel, Python/R Basics) |
| 201BA305(E) | Data Visualization and Storytelling | Elective | 3 | Principles of Data Visualization, Data Storytelling, Dashboard Design, Tools (Tableau, Power BI), Interactive Visualizations |
| 201BA306(E) | Predictive Analytics for Business | Elective | 3 | Introduction to Predictive Modeling, Regression Techniques, Classification Methods, Time Series Forecasting, Model Evaluation |
| 201BA307 | Business Analytics Lab | Lab | 2 | Statistical Software (R/Python), Data Preprocessing, Exploratory Data Analysis, Implementing Predictive Models, Visualization Tools Practice |
| 201BA308 | Summer Internship | Project | 2 | Industry Exposure, Application of Concepts, Report Writing, Presentation Skills, Networking |
Semester 4
| Subject Code | Subject Name | Subject Type | Credits | Key Topics |
|---|---|---|---|---|
| 201BA401 | Strategic Management | Core | 3 | Strategy Formulation, Environmental Analysis, Strategic Choices, Strategy Implementation, Strategic Control |
| 201BA402 | International Business | Core | 3 | Global Business Environment, International Trade Theories, Foreign Direct Investment, Global Marketing Strategies, International Financial Management |
| 201BA403(E) | Big Data Analytics for Business | Elective | 3 | Introduction to Big Data, Hadoop Ecosystem (HDFS, MapReduce), NoSQL Databases, Spark and Stream Processing, Big Data Tools (Hive, Pig) |
| 201BA404(E) | Machine Learning for Business Decisions | Elective | 3 | Supervised Learning, Unsupervised Learning, Reinforcement Learning Basics, Model Deployment, Ethics in AI |
| 201BA405(E) | Marketing Analytics | Elective | 3 | Customer Analytics, Campaign Performance Analysis, Market Basket Analysis, Web Analytics, Social Media Analytics |
| 201BA406(E) | Financial Analytics | Elective | 3 | Financial Modeling, Risk Analytics, Portfolio Optimization, Fraud Detection, Algorithmic Trading Basics |
| 201BA407(E) | HR Analytics | Elective | 3 | Workforce Planning Analytics, Recruitment Analytics, Performance Analytics, Retention Analytics, HR Metrics and Dashboards |
| 201BA408(E) | Operations Analytics | Elective | 3 | Demand Forecasting in Operations, Inventory Optimization, Supply Chain Performance, Quality Control Analytics, Logistics Network Optimization |
| 201BA409 | Project | Project | 6 | Problem Identification, Literature Review, Data Collection and Analysis, Report Writing, Presentation and Defense |
| 201BA410 | Comprehensive Viva Voce | Viva Voce | 2 | Overall Program Comprehension, Subject Matter Expertise, Analytical Skills, Communication Skills, Critical Thinking |
