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MBA in Business Analytics at Akash Global College of Management and Science
Bengaluru, Karnataka
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About the Specialization
What is Business Analytics at Akash Global College of Management and Science Bengaluru?
This Business Analytics program at Akash Global College of Management and Science focuses on equipping future managers with critical data-driven decision-making skills. Against the backdrop of India''''s rapidly digitalizing economy, the program emphasizes extracting actionable insights from complex datasets. It blends core management principles with advanced analytical techniques, preparing students to tackle real-world business challenges across various industries, fulfilling a crucial demand in the Indian market.
Who Should Apply?
This program is ideal for fresh graduates from diverse academic backgrounds who are keen to enter the burgeoning field of data science and business intelligence. It also caters to working professionals seeking to upskill and transition into analytics roles, and career changers aiming for a robust foundation in data-driven strategy. A strong aptitude for quantitative reasoning and problem-solving is beneficial, though prior coding experience is not strictly required, as fundamentals are covered.
Why Choose This Course?
Graduates of this program can expect to pursue rewarding India-specific career paths such as Business Analyst, Data Analyst, Marketing Analyst, Financial Analyst, and Operations Analyst. Entry-level salaries typically range from INR 4-7 LPA, with experienced professionals commanding INR 10-25+ LPA in leading Indian IT, consulting, and e-commerce companies. The program aligns with industry demand for professionals who can leverage data to drive business growth and competitive advantage.
Student Success Practices
Foundation Stage
Master Core Business Fundamentals & Quantitative Skills- (Semester 1-2)
Dedicate time to thoroughly understand management concepts, economics, and especially business statistics. Simultaneously, build a strong foundation in quantitative techniques and basic data analytics, which are crucial for subsequent specialization. Actively participate in class, seek clarifications, and form study groups with peers to reinforce learning.
Tools & Resources
Textbooks, Online tutorials for basic statistics (e.g., Khan Academy), Excel for data manipulation, Peer study groups
Career Connection
A solid grasp of business fundamentals and statistics is the bedrock for all advanced analytics, enabling you to understand the business context of data problems and communicate solutions effectively during placements.
Develop Foundational Software Skills- (Semester 1-2)
Proactively learn and practice essential software tools like MS Excel, which is indispensable for data handling and preliminary analysis. Utilize online platforms for self-paced learning and aim to complete certifications for basic proficiency. This early skill-building creates a significant advantage for practical assignments and internships.
Tools & Resources
Microsoft Excel, Coursera/edX courses on Excel for Business, YouTube tutorials for specific Excel functions
Career Connection
Proficiency in Excel is often a basic requirement for entry-level analyst roles and will significantly aid in data cleaning, initial exploration, and presentation of findings in future job roles.
Engage in Case Study Analysis & Business Simulations- (Semester 1-2)
Actively participate in case study discussions and business simulation exercises. Focus on applying theoretical concepts to real-world scenarios, identifying problems, and proposing data-backed solutions. This enhances critical thinking, decision-making, and teamwork skills, preparing you for the analytical challenges ahead.
Tools & Resources
Harvard Business Review Cases, Ivey Publishing Cases, Internal college case competitions
Career Connection
These experiences hone your analytical mindset and ability to present structured solutions, which are highly valued by recruiters during interviews and assessment centers for analyst positions.
Intermediate Stage
Deep Dive into Business Analytics Tools & Programming- (Semester 3)
Beyond theoretical knowledge, dedicate significant effort to mastering programming languages like SQL for database management and either Python or R for advanced data analysis. Enroll in online courses, practice coding problems, and build a portfolio of small data projects. Focus on subjects like RDBMS, Data Mining, and Data Analytics for Business Decisions.
Tools & Resources
SQL (MySQL/PostgreSQL), Python (Pandas, NumPy, Scikit-learn), R (dplyr, ggplot2), Online platforms like HackerRank, LeetCode, Kaggle, Udemy/Coursera courses
Career Connection
Hands-on proficiency in these tools is non-negotiable for Business Analytics roles. A strong portfolio demonstrates practical capability, which is key for internships and job placements.
Undertake a Meaningful Summer Internship- (Between Semester 2 and 3)
Actively seek and complete a summer internship in a data or analytics-focused role. Prioritize companies where you can work on real datasets, apply learned techniques, and contribute to tangible business outcomes. Document your experiences, challenges, and solutions in detail for your internship report and future interviews.
Tools & Resources
College placement cell, LinkedIn, Internshala, Naukri.com, Industry mentors
Career Connection
Internships provide invaluable industry exposure, practical experience, and networking opportunities, significantly boosting your resume and often leading to pre-placement offers or strong referrals.
Participate in Data Analytics Competitions & Workshops- (Semester 3)
Join data analytics hackathons, case competitions, and workshops organized by the college or external bodies. These platforms offer opportunities to apply your skills to diverse problems, learn from peers, and gain recognition. Focus on improving problem-solving speed and team collaboration.
Tools & Resources
Kaggle competitions, Analytics Vidhya events, College-organized hackathons, Industry workshops on specific tools
Career Connection
Winning or even participating in such events demonstrates initiative, practical application of skills, and competitive drive to potential employers, setting you apart during the hiring process.
Advanced Stage
Specialize in Predictive Modeling and Visualization- (Semester 4)
Concentrate on the advanced Business Analytics electives, particularly Predictive Modelling and Data Visualization. Go beyond the curriculum by exploring advanced topics, building complex models, and creating compelling interactive dashboards. Understand the ethical implications of data usage and AI in business.
Tools & Resources
Advanced libraries in Python/R, Tableau, Power BI, DataCamp, Specialized webinars and workshops
Career Connection
Mastery of predictive analytics and impactful data visualization are high-demand skills, leading to roles in advanced analytics and business intelligence, commanding better compensation in the Indian market.
Execute a Robust Master Thesis/Project- (Semester 4)
Choose a challenging, industry-relevant topic for your Master Thesis or Project Work, ideally in collaboration with a company. Apply the full spectrum of your analytics skills, from problem definition and data collection to model building, interpretation, and recommendation. This project serves as your capstone achievement.
Tools & Resources
Real-world datasets, Industry mentors, Academic advisors, Advanced analytics software
Career Connection
A well-executed project is a powerful testament to your capabilities, providing a tangible example of your analytical prowess and problem-solving abilities to recruiters during placement interviews.
Strategic Career Planning & Placement Preparation- (Semester 4)
Actively engage with the college''''s placement cell from the beginning of your final year. Prepare a tailored resume highlighting your analytics projects and skills, practice mock interviews, and participate in group discussions. Network with alumni and industry professionals to explore job opportunities and gain insights into different company cultures.
Tools & Resources
Placement cell resources, LinkedIn for networking, Mock interview platforms, Aptitude test preparation materials
Career Connection
Proactive and strategic placement preparation ensures you are job-ready and maximize your chances of securing desirable roles in top Indian analytics companies and consulting firms.
Program Structure and Curriculum
Eligibility:
- Graduates from any recognized University (Bachelor''''s Degree) with 50% marks in aggregate (45% for SC/ST/CAT-1) are eligible for admission to the MBA Course. Students appearing for final year examinations may also apply. Admission will be through PGCET / KMAT / CMAT / MAT / ATMA / XAT / Any other equivalent examination followed by Group Discussion & Interview.
Duration: 4 semesters / 2 years
Credits: 100 Credits
Assessment: Internal: 40%, External: 60%
Semester-wise Curriculum Table
Semester 1
| Subject Code | Subject Name | Subject Type | Credits | Key Topics |
|---|---|---|---|---|
| 1.1 | Management and Organizational Behavior | Core | 4 | Introduction to Management, Planning and Organizing, Leadership and Motivation, Organizational Structure and Design, Organizational Change and Development, Cross-Cultural Management |
| 1.2 | Managerial Economics | Core | 4 | Introduction to Managerial Economics, Demand and Supply Analysis, Production and Cost Analysis, Market Structures and Pricing Decisions, Macroeconomic Environment, Business Cycles and Policies |
| 1.3 | Accounting for Managers | Core | 4 | Introduction to Accounting, Financial Statements Analysis, Cost Accounting, Budgetary Control, Marginal Costing, Standard Costing |
| 1.4 | Business Statistics | Core | 4 | Descriptive Statistics, Probability and Probability Distributions, Sampling and Estimation, Hypothesis Testing, Correlation and Regression, Time Series Analysis |
| 1.5 | Business and Legal Environment | Core | 4 | Indian Business Environment, Economic Policies, Consumer Protection Act, Competition Law, Cyber Laws, Environmental Laws |
| 1.6 | Indian Ethos and Human Values | Core | 4 | Indian Ethos in Management, Ancient Indian Wisdom, Human Values and Ethics, Spirituality in Business, Holistic Management, Corporate Culture and Values |
Semester 2
| Subject Code | Subject Name | Subject Type | Credits | Key Topics |
|---|---|---|---|---|
| 2.1 | Marketing Management | Core | 4 | Introduction to Marketing, Market Segmentation, Targeting, Positioning, Product and Pricing Decisions, Place and Promotion Decisions, Services Marketing, Digital Marketing |
| 2.2 | Financial Management | Core | 4 | Introduction to Financial Management, Capital Budgeting, Working Capital Management, Cost of Capital, Capital Structure Theories, Dividend Policy |
| 2.3 | Human Resource Management | Core | 4 | Introduction to HRM, HR Planning and Job Analysis, Recruitment and Selection, Training and Development, Performance Management, Compensation and Benefits |
| 2.4 | Quantitative Techniques for Business Decisions | Core | 4 | Linear Programming, Transportation and Assignment Problems, Network Analysis (PERT/CPM), Decision Theory, Game Theory, Simulation |
| 2.5 | Operations Management | Core | 4 | Introduction to Operations Management, Process Design and Layout, Forecasting, Inventory Management, Quality Management, Supply Chain Management |
| 2.6 | Research Methodology | Core | 4 | Introduction to Business Research, Research Design, Sampling Techniques, Data Collection Methods, Data Analysis and Interpretation, Report Writing |
Semester 3
| Subject Code | Subject Name | Subject Type | Credits | Key Topics |
|---|---|---|---|---|
| 3.1 | Strategic Management | Core | 4 | Concept of Strategy, Strategic Analysis, Strategy Formulation, Strategy Implementation, Strategic Control, Case Studies in Strategy |
| 3.2 | Entrepreneurship and Innovation | Core | 4 | Concept of Entrepreneurship, Opportunity Identification, Business Plan Development, Funding for Startups, Innovation Management, Intrapreneurship |
| 3.3 | Corporate Communication and Business Ethics | Core | 4 | Principles of Corporate Communication, Crisis Communication, Business Etiquette, Ethical Frameworks, Corporate Governance, Social Responsibility |
| 3.4 | Data Analytics for Business Decisions | Core | 4 | Introduction to Data Analytics, Data Collection and Preparation, Descriptive Analytics, Diagnostic Analytics, Introduction to Predictive and Prescriptive Analytics, Tools for Data Analytics |
| BA 3.1 | RDBMS and SQL for Business Analytics | Elective (Business Analytics) | 4 | Introduction to RDBMS, SQL Fundamentals, Database Design, Advanced SQL Queries, Data Manipulation Language, Data Definition Language |
| BA 3.2 | Data Mining for Business Analytics | Elective (Business Analytics) | 4 | Introduction to Data Mining, Data Pre-processing, Classification Techniques, Clustering Algorithms, Association Rule Mining, Text Mining and Web Mining |
| 3.7 | Skill Development Course - I | Skill Development | 2 | Advanced MS Excel, PowerPoint for Presentations, Communication Skills, Leadership Development, Team Building, Digital Marketing Tools |
| 3.8 | Summer Internship Project | Project | 2 | Internship Report Writing, Project Planning, Data Collection and Analysis, Industry Problem Solving, Presentation Skills, Workplace Professionalism |
Semester 4
| Subject Code | Subject Name | Subject Type | Credits | Key Topics |
|---|---|---|---|---|
| 4.1 | International Business | Core | 4 | Globalization and International Trade, Foreign Direct Investment, International Monetary System, Cross-Cultural Management, International Marketing, Global Business Strategies |
| 4.2 | Corporate Governance and CSR | Core | 4 | Concepts of Corporate Governance, Board of Directors, Shareholder Rights, Role of Auditors, Corporate Social Responsibility Initiatives, Sustainability Reporting |
| 4.3 | Digital Business and E-Commerce | Core | 4 | Introduction to Digital Business, E-commerce Models, Digital Marketing Strategies, E-CRM, Payment Systems, Cyber Security in E-commerce |
| BA 4.2 | Predictive Modelling for Business Analytics | Elective (Business Analytics) | 4 | Introduction to Predictive Analytics, Regression Analysis, Time Series Forecasting, Classification Models, Machine Learning Algorithms, Model Evaluation and Validation |
| BA 4.3 | Data Visualization for Business Analytics | Elective (Business Analytics) | 4 | Principles of Data Visualization, Types of Charts and Graphs, Dashboard Design, Interactive Visualizations, Tools like Tableau/Power BI, Storytelling with Data |
| 4.6 | Skill Development Course - II | Skill Development | 2 | Business Intelligence Tools (e.g., Power BI, Tableau), Python/R for Data Analysis, Advanced Communication, Problem-Solving Techniques, Interview Preparation, Group Discussion Strategies |
| 4.7 | Master Thesis / Project Work | Project | 2 | Research Question Formulation, Literature Review, Methodology Design, Data Collection and Analysis, Report Writing and Presentation, Research Ethics |
