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MBA in Business Analytics at Mar Athanasios College for Advanced Studies, Tiruvalla
Pathanamthitta, Kerala
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About the Specialization
What is Business Analytics at Mar Athanasios College for Advanced Studies, Tiruvalla Pathanamthitta?
This MBA Business Analytics program at Mar Athanasios College for Advanced Studies, affiliated with Mahatma Gandhi University, focuses on equipping students with advanced analytical skills crucial for data-driven decision-making. Recognizing the rapidly growing demand for analytics professionals in the Indian market across sectors like finance, retail, and IT, this program integrates core management principles with specialized analytical tools and techniques. Its curriculum is designed to produce business leaders who can leverage data to gain insights and drive strategic growth.
Who Should Apply?
This program is ideal for fresh graduates seeking entry into the dynamic field of business analytics, especially those with a quantitative aptitude or a background in commerce, science, or engineering. It also caters to working professionals looking to upskill their analytical capabilities to enhance their career trajectory or transition into data-centric roles within their current industries. Ambitious individuals eager to understand and apply data science methodologies in a business context will find this program highly beneficial.
Why Choose This Course?
Graduates of this program can expect to pursue rewarding career paths in India as Business Analysts, Data Scientists, Management Consultants, or Predictive Modelers. Entry-level salaries typically range from INR 4-7 lakhs per annum, with experienced professionals commanding significantly higher packages. The program fosters critical thinking and problem-solving skills, aligning with the industry''''s need for talent capable of transforming raw data into actionable business intelligence, offering substantial growth trajectories in Indian companies and MNCs operating within the country.
Student Success Practices
Foundation Stage
Build a Strong Quantitative Foundation- (Semester 1-2)
Dedicate extra time to quantitative subjects like Quantitative Techniques and Operations Research. Actively solve problems, participate in workshops, and seek help from faculty to strengthen your mathematical and statistical base, which is crucial for advanced analytics.
Tools & Resources
Khan Academy for statistics, RStudio for basic statistical programming, academic textbooks, peer study groups
Career Connection
A solid quantitative foundation is the bedrock for understanding and applying complex analytical models, directly impacting your ability to excel in specialized analytics roles.
Develop Effective Communication Skills- (Semester 1-2)
Actively participate in Business Communication classes, seminars, and group discussions. Practice presenting analytical findings clearly and concisely, both orally and in written reports, to diverse audiences.
Tools & Resources
Toastmasters International clubs (if available), presentation software (PowerPoint, Google Slides), peer feedback sessions, online courses on effective business writing
Career Connection
As an analyst, you''''ll need to communicate insights to non-technical stakeholders. Strong communication skills are vital for convincing decision-makers and translating data into actionable strategies.
Master Spreadsheet and Database Basics- (Semester 1-2)
Go beyond basic functions in subjects like Accounting for Management and MIS. Learn advanced Excel features (lookup functions, pivot tables) and understand fundamental SQL queries for database management, as these are foundational for data handling.
Tools & Resources
Microsoft Excel, Google Sheets, W3Schools for SQL tutorials, online Excel courses from platforms like Coursera or Udemy
Career Connection
Proficiency in spreadsheets and basic databases is a non-negotiable skill for almost all entry-level analytics positions and provides a strong base for learning more complex tools.
Intermediate Stage
Deep Dive into Analytical Tools and Programming- (Semester 3)
Beyond classroom learning, actively practice with analytical software introduced in Business Analytics and Data Mining subjects (e.g., Python/R for data analysis, Tableau/Power BI for visualization). Work on mini-projects to apply concepts.
Tools & Resources
Python (Anaconda distribution), RStudio, Tableau Public, Power BI Desktop, Kaggle datasets, GitHub for project showcasing
Career Connection
Hands-on proficiency with industry-standard tools and programming languages is a key differentiator in the job market and essential for performing core analytics tasks.
Engage in Industry-Relevant Summer Internships- (Semester 3)
Actively seek and secure a summer internship in a company where you can apply your analytical skills to real-world business problems. Focus on gaining practical experience in data collection, cleaning, analysis, and reporting.
Tools & Resources
College placement cell, LinkedIn, Naukri.com, personal networking, career fairs
Career Connection
Internships provide invaluable practical experience, build your professional network, and often lead to pre-placement offers or strong recommendations, significantly boosting your placement chances.
Participate in Data Science Competitions and Workshops- (Semester 3-4)
Join online data science competitions (e.g., on Kaggle, Analytics Vidhya) or internal college hackathons. Attend workshops and webinars on emerging analytics trends and specialized topics to expand your knowledge and skill set beyond the curriculum.
Tools & Resources
Kaggle, Analytics Vidhya, DataCamp, Coursera, industry-specific webinars
Career Connection
Such participation demonstrates proactive learning, problem-solving abilities, and practical application of skills, making your profile more attractive to potential employers and deepening your expertise.
Advanced Stage
Develop a Strong Project Portfolio- (Semester 4)
Leverage your project work (Summer Internship, Main Project) to build a robust portfolio of analytical projects. Clearly document your problem statements, methodologies, findings, and business impact. This is your showcase.
Tools & Resources
GitHub repositories for code, well-structured reports, professional presentation slides, portfolio websites/blogs
Career Connection
A well-curated project portfolio is often more impactful than a resume alone, providing tangible proof of your abilities and demonstrating your capacity to deliver results.
Network with Industry Professionals and Alumni- (Semester 3-4)
Actively connect with alumni working in analytics, attend industry conferences (virtual or physical), and use platforms like LinkedIn to build a professional network. Seek mentorship and insights into career paths and industry expectations.
Tools & Resources
LinkedIn, alumni network portals, industry events/webinars, college career services
Career Connection
Networking opens doors to job opportunities, provides industry insights, and can lead to mentorship that guides your career development and placement efforts.
Focus on Placement Preparation and Interview Skills- (Semester 4)
Intensively prepare for placement interviews, focusing on analytical case studies, technical questions related to tools and concepts, and behavioral interview questions. Practice mock interviews and aptitude tests regularly.
Tools & Resources
Online aptitude test platforms, interview preparation guides, company-specific interview experiences, mock interview sessions with faculty/mentors
Career Connection
Dedicated placement preparation ensures you can effectively articulate your skills and value proposition, maximizing your chances of securing a desirable job offer in the competitive Indian job market.
Program Structure and Curriculum
Eligibility:
- Bachelor''''s Degree in any discipline with 50% aggregate marks (or 45% for SEBC/OEC, pass for SC/ST) from MGU or equivalent. Valid score in C-MAT/KMAT/CAT.
Duration: 2 years / 4 semesters
Credits: 100 Credits
Assessment: Internal: 40% (for Theory courses), External: 60% (for Theory courses)
Semester-wise Curriculum Table
Semester 1
| Subject Code | Subject Name | Subject Type | Credits | Key Topics |
|---|---|---|---|---|
| MBAC101 | Management Perspectives | Core | 4 | Evolution of Management Thought, Management Functions, Organizational Structure, Contemporary Management Practices, Ethical Management |
| MBAC102 | Quantitative Techniques for Management | Core | 4 | Probability Distributions, Hypothesis Testing, Correlation and Regression, Time Series Analysis, Decision Theory |
| MBAC103 | Managerial Economics | Core | 4 | Demand and Supply Analysis, Production and Cost Theory, Market Structures, Pricing Strategies, Macroeconomic Environment |
| MBAC104 | Organizational Behaviour | Core | 4 | Individual Behaviour, Group Dynamics, Motivation Theories, Leadership Styles, Organizational Culture and Change |
| MBAC105 | Business Communication | Core | 3 | Communication Process, Oral and Written Communication, Non-verbal Communication, Presentation Skills, Cross-cultural Communication |
| MBAC106 | Indian Business Environment & Ethics | Core | 3 | Economic Reforms, Legal Framework of Business, Social and Cultural Environment, Corporate Governance, Business Ethics and CSR |
| MBAC107 | Accounting for Management | Core | 3 | Financial Statements Analysis, Cost Concepts and Classification, Budgeting and Budgetary Control, Standard Costing, Capital Budgeting Decisions |
Semester 2
| Subject Code | Subject Name | Subject Type | Credits | Key Topics |
|---|---|---|---|---|
| MBAC201 | Human Resource Management | Core | 4 | HR Planning and Recruitment, Training and Development, Performance Management Systems, Compensation Management, Employee Relations |
| MBAC202 | Marketing Management | Core | 4 | Marketing Mix Strategies, Consumer Behaviour, Market Segmentation and Targeting, Product Life Cycle, Branding and Promotion |
| MBAC203 | Financial Management | Core | 4 | Capital Structure Decisions, Working Capital Management, Dividend Policy, Investment Decisions, Financial Markets and Institutions |
| MBAC204 | Operations Management | Core | 4 | Production Systems Design, Inventory Management Techniques, Quality Management Systems, Supply Chain Management, Lean Operations and JIT |
| MBAC205 | Management Information Systems | Core | 3 | Information Systems Concepts, Database Management Systems, Enterprise Resource Planning, E-business and E-commerce, IT Security and Control |
| MBAC206 | Operations Research | Core | 3 | Linear Programming, Transportation Problems, Assignment Problems, Network Analysis (CPM/PERT), Game Theory |
| MBAC207 | Research Methodology for Management | Core | 3 | Research Design and Types, Data Collection Methods, Sampling Techniques, Data Analysis and Interpretation, Report Writing and Presentation |
Semester 3
| Subject Code | Subject Name | Subject Type | Credits | Key Topics |
|---|---|---|---|---|
| MBAC301 | Strategic Management | Core | 4 | Strategic Analysis and Formulation, Strategy Implementation, Corporate and Business Level Strategy, Global Strategy, Strategic Control |
| MBAC302 | Legal Environment of Business | Core | 4 | Indian Contract Act, Company Law, Consumer Protection Act, Cyber Laws, Intellectual Property Rights |
| MBADG301 | Business Analytics | Elective | 4 | Analytics Frameworks and Types, Descriptive Analytics Techniques, Predictive Analytics Concepts, Prescriptive Analytics, Data Visualization Tools Introduction |
| MBADG302 | Data Mining for Business Decisions | Elective | 4 | Data Preprocessing and Cleaning, Classification Algorithms, Clustering Techniques, Association Rule Mining, Text Mining Fundamentals |
| MBADG303 | Advanced Excel for Business Analytics | Elective | 4 | Advanced Functions (Lookup, Logical), Data Validation and Conditional Formatting, Pivot Tables and Charts, What-If Analysis (Goal Seek, Solver), Macros and VBA for Data Automation |
| MBAC303 | Summer Internship Project & Viva Voce | Core | 5 | Project Identification and Formulation, Literature Review, Data Collection and Analysis, Report Writing, Presentation and Defense |
Semester 4
| Subject Code | Subject Name | Subject Type | Credits | Key Topics |
|---|---|---|---|---|
| MBAC401 | Entrepreneurship & Innovation Management | Core | 4 | Entrepreneurial Process, Business Plan Development, Innovation Strategies, Venture Capital and Funding, Startup Ecosystem in India |
| MBADG401 | Predictive Modeling for Business | Elective | 4 | Regression Models, Time Series Forecasting, Machine Learning Basics, Model Evaluation Metrics, Deployment Strategies |
| MBADG402 | Big Data Analytics | Elective | 4 | Big Data Concepts and Challenges, Hadoop Ecosystem (HDFS, MapReduce), NoSQL Databases, Spark Analytics, Real-time Data Processing |
| MBADG403 | Data Visualization and Reporting | Elective | 4 | Principles of Data Visualization, Choosing Appropriate Chart Types, Dashboard Design Best Practices, Data Storytelling, Reporting Tools and Technologies |
| MBAC402 | Project Work & Viva Voce | Core | 9 | Research Problem Identification, Methodology Design and Execution, Advanced Data Analysis, Thesis Writing and Formatting, Defense of Project Findings |
