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MBA in Finance Business Analytics Dual Specialization at Don Bosco Institute of Management Studies and Computer Applications
Bengaluru, Karnataka
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About the Specialization
What is Finance & Business Analytics (Dual Specialization) at Don Bosco Institute of Management Studies and Computer Applications Bengaluru?
This Finance & Business Analytics dual specialization program at Don Bosco Institute of Management Studies and Computer Applications focuses on equipping students with expertise in financial management combined with data-driven decision-making. It addresses the growing demand in the Indian market for professionals who can navigate complex financial landscapes and extract actionable insights from vast datasets, crucial for modern business strategy.
Who Should Apply?
This program is ideal for fresh graduates from commerce, management, or quantitative backgrounds seeking entry into financial analytics roles or investment banking. It also suits working professionals aiming to upskill in areas like financial modeling, risk analysis, and data science applications in finance, or career changers transitioning to the rapidly evolving FinTech and data-driven finance industries in India.
Why Choose This Course?
Graduates of this program can expect to pursue India-specific career paths such as Financial Analyst, Investment Manager, Business Intelligence Analyst, Data Scientist (Finance), and Risk Analyst. Entry-level salaries typically range from INR 4-8 LPA, with significant growth trajectories in Indian banks, consulting firms, e-commerce, and IT companies. The curriculum aligns with requirements for certifications like NISM and CFA.
Student Success Practices
Foundation Stage
Build Strong Quantitative & Accounting Fundamentals- (Semester 1-2)
Dedicate significant effort to mastering core subjects like Quantitative Methods, Accounting for Managers, and Managerial Economics. Form study groups to solve problems regularly and discuss concepts, especially focusing on statistical tools and financial statement analysis.
Tools & Resources
Khan Academy, NPTEL courses for basic finance/stats, Textbooks, Peer discussion forums
Career Connection
A solid foundation is crucial for advanced finance and analytics courses and provides the bedrock for understanding financial models and data analysis techniques used in entry-level analyst roles.
Develop Essential Soft Skills & Communication- (Semester 1-2)
Actively participate in presentations, group discussions, and communication-focused activities. Utilize the ''''Soft Skills/Minor Elective'''' subject to enhance public speaking, written communication, and interpersonal skills, which are vital for corporate interactions.
Tools & Resources
Toastmasters International clubs (if available), College communication workshops, LinkedIn Learning courses on professional communication
Career Connection
Strong communication skills are paramount for conveying complex financial and analytical insights to non-technical stakeholders and excelling in interviews and team collaborations.
Cultivate Early Industry Awareness- (Semester 1-2)
Read business newspapers (e.g., The Economic Times, Business Standard) and financial news websites daily to understand current economic trends, company performances, and industry news. Attend introductory webinars or workshops on finance and analytics to explore potential career paths.
Tools & Resources
Moneycontrol, Livemint, Business Standard, Industry magazines, Alumni talks
Career Connection
Early industry awareness helps in making informed decisions about specialization electives, understanding company expectations during internships, and identifying relevant job opportunities.
Intermediate Stage
Master Specialization-Specific Software & Tools- (Semester 3)
Beyond theoretical learning, gain hands-on proficiency in software relevant to Finance (e.g., advanced Excel for financial modeling, Bloomberg terminals if available) and Business Analytics (e.g., Python/R for data analysis, SQL for database querying). Work on mini-projects using these tools.
Tools & Resources
Microsoft Excel, Python (Jupyter Notebooks), RStudio, SQL databases (e.g., SQLite), Udemy/Coursera courses specific to these tools
Career Connection
Direct practical experience with industry-standard tools is a key differentiator in placements, opening doors to specialized roles in financial analytics, data science, and business intelligence.
Build a Strong Portfolio of Case Studies & Projects- (Semester 3)
Actively participate in case study competitions, industry challenges, and faculty-guided projects related to your dual specialization. Document your methodologies, findings, and business impacts clearly to build a demonstrable portfolio for potential employers.
Tools & Resources
Harvard Business Review cases, IIM case studies, Kaggle datasets, College project platforms, GitHub for code projects
Career Connection
A well-structured portfolio showcases your analytical abilities, problem-solving skills, and practical application of knowledge, significantly boosting your resume for finance and analytics roles.
Network Strategically & Seek Mentorship- (Semester 3)
Attend webinars, industry expert sessions, and alumni meetups organized by the institute. Proactively reach out to professionals in finance and business analytics on platforms like LinkedIn for informational interviews and potential mentorship opportunities to gain insights into career paths.
Tools & Resources
LinkedIn, College alumni network, Industry-specific forums, Professional networking events
Career Connection
Strategic networking helps uncover hidden job opportunities, provides industry insights, and offers guidance on career progression, essential for navigating the competitive job market.
Advanced Stage
Excel in Internship & Final Project Work- (Semester 4)
Treat your internship as an extended interview, demonstrating initiative, problem-solving skills, and a strong work ethic. For your final project, choose a complex problem integrating both finance and analytics, conducting thorough research and presenting compelling, data-backed solutions.
Tools & Resources
Company-specific tools used during internship, Academic databases, Statistical software for project analysis, Presentation software
Career Connection
A successful internship often leads to a pre-placement offer. A well-executed final project is a powerful resume enhancer and a talking point in interviews, demonstrating advanced capabilities.
Intensive Placement Preparation- (Semester 4)
Begin rigorous preparation for placement drives, focusing on aptitude tests, technical interviews (finance concepts, statistical methods, programming), case interviews, and HR rounds. Practice mock interviews with faculty and career counselors.
Tools & Resources
Online aptitude platforms (IndiaBix), Interview preparation guides, Company-specific interview questions, College placement cell workshops, Mock interview sessions
Career Connection
Dedicated preparation significantly increases the chances of securing desirable job offers in leading financial institutions, analytics firms, and corporate roles.
Pursue Relevant Certifications & Continuous Learning- (Semester 4 (or post-graduation for some advanced certs))
Consider pursuing industry-recognized certifications like NISM Equity Derivatives, FRM (Financial Risk Manager) for finance, or IBM Data Analyst Professional Certificate for analytics, which add significant value to your profile and demonstrate specialized expertise.
Tools & Resources
NISM modules, GARP (FRM), Coursera/edX professional certificates, Industry bodies offering micro-credentials
Career Connection
These certifications validate specialized skills, differentiate you in the job market, and demonstrate a commitment to continuous professional development, crucial for long-term career growth in India''''s dynamic economy.
Program Structure and Curriculum
Eligibility:
- A Bachelor''''s degree of not less than three years duration in any discipline from a recognized University with at least 50% (45% for SC/ST/Category-I candidates of Karnataka) aggregate marks. Must have appeared for PGCET/KMAT/CMAT/MAT/XAT/GMAT or any other state/national level entrance examination.
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 |
|---|---|---|---|---|
| MBA 101 | Management & Organisational Behaviour | Core | 4 | Management Process & Evolution, Planning, Organising, Staffing, Directing, Controlling, Organisational Behaviour, Personality, Perception & Learning, Motivation Theories, Group Dynamics & Leadership |
| MBA 102 | Managerial Economics | Core | 4 | Nature & Scope of Managerial Economics, Demand & Supply Analysis, Production Analysis & Cost Analysis, Market Structures, Pricing Strategies, Profit Management |
| MBA 103 | Accounting for Managers | Core | 4 | Financial Accounting Principles, Preparation of Financial Statements, Analysis of Financial Statements, Ratio Analysis, Cost Accounting Concepts, Budgetary Control |
| MBA 104 | Quantitative Methods for Business Decisions | Core | 4 | Probability & Probability Distributions, Sampling & Estimation, Hypothesis Testing, Correlation & Regression Analysis, Decision Theory, Linear Programming |
| MBA 105 | Marketing Management | Core | 4 | Marketing Concepts & Environment, Consumer Behaviour, Market Segmentation, Targeting, Positioning, Product & Pricing Decisions, Promotion & Distribution Channels, Services Marketing |
| MBA 106 | Business & Legal Environment | Core | 4 | Indian Contract Act, Sale of Goods Act, Consumer Protection Act, Company Law & Competition Act, Cyber Law & Intellectual Property Rights, Environmental Protection Act & Ethics |
Semester 2
| Subject Code | Subject Name | Subject Type | Credits | Key Topics |
|---|---|---|---|---|
| MBA 201 | Human Resource Management | Core | 4 | HR Planning & Job Analysis, Recruitment & Selection, Training & Development, Performance Management, Compensation Management, Industrial Relations & Employee Welfare |
| MBA 202 | Financial Management | Core | 4 | Goals of Financial Management, Time Value of Money, Capital Budgeting Decisions, Cost of Capital, Working Capital Management, Dividend Policy |
| MBA 203 | Research Methods | Core | 4 | Research Design & Process, Sampling Design, Data Collection Methods, Measurement & Scaling Techniques, Data Analysis & Interpretation, Report Writing & Ethics in Research |
| MBA 204 | Operations Management | Core | 4 | Production Systems & Design, Facility Location & Layout, Production Planning & Control, Inventory Management, Quality Management, Supply Chain Management |
| MBA 205 | Entrepreneurship & Ethics | Core | 4 | Entrepreneurial Process & Mindset, Business Plan Development, Funding New Ventures, Ethics in Business, Corporate Social Responsibility, Intellectual Property Rights |
| MBA 206 | Soft Skills/Minor Elective | Core | 4 | Communication Skills, Interpersonal & Teamwork Skills, Leadership & Motivation, Presentation Skills, Time Management & Stress Management, Personal & Professional Grooming |
Semester 3
| Subject Code | Subject Name | Subject Type | Credits | Key Topics |
|---|---|---|---|---|
| MBA 301 | Strategic Management | Core | 4 | Strategic Planning Process, Environmental Analysis, SWOT Analysis, Strategy Formulation, Strategy Implementation, Strategic Evaluation & Control |
| MBA 302 | International Business | Core | 4 | International Trade Theories, Balance of Payments, Foreign Exchange Market, International Financial Institutions, Global Marketing Strategies, International Human Resource Management |
| MBA 303 | Operations Research | Core | 4 | Linear Programming, Transportation & Assignment Problems, Network Analysis (PERT/CPM), Queuing Theory, Game Theory, Simulation |
| MBA FM 3.1 | Investment Management | Elective - Finance | 4 | Investment Process & Objectives, Financial Markets & Instruments, Risk & Return Analysis, Valuation of Securities, Portfolio Management Theories, Mutual Funds & Hedge Funds |
| MBA FM 3.2 | Derivatives Management | Elective - Finance | 4 | Introduction to Derivatives, Futures Contracts, Forwards & Swaps, Options: Calls & Puts, Option Pricing Models (Black-Scholes), Hedging Strategies |
| MBA BA 3.1 | Fundamentals of Business Analytics | Elective - Business Analytics | 4 | Introduction to Business Analytics, Data Collection & Preprocessing, Descriptive Analytics, Predictive Analytics Overview, Prescriptive Analytics Overview, Analytics Tools & Technologies |
| MBA BA 3.2 | Data Mining for Business | Elective - Business Analytics | 4 | Data Mining Process, Classification Techniques, Clustering Algorithms, Association Rule Mining, Predictive Modeling, Text Mining Concepts |
Semester 4
| Subject Code | Subject Name | Subject Type | Credits | Key Topics |
|---|---|---|---|---|
| MBA 401 | Project Work & Viva Voce | Core (Project) | 8 | Problem Identification & Research Design, Literature Review, Data Collection & Analysis, Findings & Recommendations, Report Writing & Formatting, Project Presentation & Viva |
| MBA 402 | Internship & Viva Voce | Core (Internship) | 4 | Industry Exposure & Practical Application, Skill Development & Problem Solving, Report Writing on Internship Experience, Presentation of Internship Learnings, Professional Conduct & Networking, Career Exploration |
| MBA FM 3.4 | International Financial Management | Elective - Finance | 4 | Foreign Exchange Market, Exchange Rate Theories & Parities, Currency Risk Management, International Capital Budgeting, International Working Capital Management, Multinational Capital Structure |
| MBA FM 4.1 | Financial Markets & Services | Elective - Finance | 4 | Indian Financial System, Money Market & Capital Market, Banking & Non-Banking Financial Institutions, Mutual Funds & Insurance Services, Investment Banking & Merchant Banking, Leasing & Hire Purchase |
| MBA BA 3.3 | Spreadsheet Modeling for Business Decisions | Elective - Business Analytics | 4 | Excel Functions & Data Tools, Financial Modeling in Excel, Optimization Models using Solver, Simulation Models, Sensitivity Analysis, Decision Trees in Spreadsheets |
| MBA BA 4.1 | Predictive Modeling | Elective - Business Analytics | 4 | Regression Analysis (Linear, Logistic), Time Series Analysis & Forecasting, Decision Trees & Random Forests, Neural Networks Basics, Model Evaluation Metrics, Introduction to Machine Learning |
