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MBA in Business Analytics at Birla Institute of Technology, Mesra
Ranchi, Jharkhand
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About the Specialization
What is Business Analytics at Birla Institute of Technology, Mesra Ranchi?
This Business Analytics program at Birla Institute of Technology, Ranchi focuses on equipping future managers with data-driven decision-making skills. In the rapidly digitizing Indian economy, businesses across sectors like e-commerce, finance, and manufacturing are generating vast amounts of data, creating a massive demand for professionals who can extract actionable insights. This program differentiates itself by blending core management principles with advanced analytical techniques relevant to contemporary Indian industry needs.
Who Should Apply?
This program is ideal for fresh graduates seeking entry into data-driven roles in various industries, and working professionals looking to upskill in analytics to enhance their career trajectory. It also caters to career changers transitioning into the booming data and analytics industry in India. Ideal candidates typically possess a quantitative aptitude and a basic understanding of mathematics or statistics from their undergraduate studies, eager to apply analytical rigor to business problems.
Why Choose This Course?
Graduates of this program can expect to pursue rewarding India-specific career paths such as Data Analyst, Business Intelligence Analyst, Consultant, Market Research Analyst, and Analytics Manager. Entry-level salaries typically range from INR 4-7 LPA, growing significantly with experience to 10-20 LPA for mid-level roles. Growth trajectories in Indian companies often lead to leadership roles in analytics departments or strategic consulting. The curriculum often aligns with skills required for professional certifications like CAP or industry-specific analytics tools.
Student Success Practices
Foundation Stage
Build a Strong Quantitative and IT Base- (Semester 1-2)
Rigorously focus on core subjects like Business Statistics and IT Applications. Supplement classroom learning with online courses on platforms like NPTEL or Coursera for probability, statistics, and foundational database concepts (SQL). Mastering advanced Excel functions and basic programming logic early is crucial.
Tools & Resources
NPTEL courses, Coursera (Statistics/SQL), Advanced Excel tutorials, Kaggle (basic datasets)
Career Connection
A solid foundation in quantitative methods and IT tools is indispensable for any analytics role, making you immediately valuable for data collection, cleaning, and basic reporting tasks.
Engage in Early Case Study Analysis- (Semester 1-2)
Actively participate in case study discussions and join clubs focused on business analytics or consulting. Analyze real-world business problems and propose data-driven solutions. This hones critical thinking and problem-solving skills, vital for applying theoretical knowledge to practical scenarios.
Tools & Resources
Harvard Business Review cases, Ivey Publishing cases, BIT Mesra''''s case study clubs
Career Connection
Develops a business mindset and the ability to frame analytical problems, which is highly sought after by employers for strategic roles.
Develop Effective Business Communication- (undefined)
Utilize Business Communication classes to perfect your written and verbal skills. Practice presenting complex data insights clearly and concisely. Join debating societies or Toastmasters-like clubs to enhance public speaking and storytelling abilities, crucial for conveying analytical findings to non-technical stakeholders.
Tools & Resources
Toastmasters International, Grammarly, Presentation software (PowerPoint/Google Slides)
Career Connection
Strong communication ensures your analytical work translates into actionable business decisions, enhancing your impact and career progression.
Intermediate Stage
Gain Proficiency in Key Analytics Tools and Programming Languages- (Semester 3)
Beyond theoretical understanding, dedicate significant time to hands-on learning of R or Python (and their relevant libraries like Pandas, NumPy, Scikit-learn). Work through practical exercises, online courses, and mini-projects to build muscle memory and problem-solving proficiency in these tools.
Tools & Resources
DataCamp, DataQuest, Kaggle tutorials, Official Python/R documentation
Career Connection
Directly develops the technical skills required for most Business Analytics roles, enabling you to manipulate, analyze, and model data effectively.
Undertake Specialization-Specific Projects- (Semester 3)
Actively seek out opportunities for projects related to your chosen Business Analytics electives (e.g., Marketing Analytics, Financial Analytics). Work with faculty on research projects or find public datasets on Kaggle/UCI to build a portfolio of analytical solutions. Focus on real-world problem statements.
Tools & Resources
Kaggle, UCI Machine Learning Repository, GitHub, Jupyter Notebooks
Career Connection
Creates a tangible portfolio demonstrating your specialized skills and ability to apply analytical techniques to specific business domains, making you more attractive to recruiters.
Network with Industry Professionals and Alumni- (undefined)
Attend industry webinars, guest lectures, and alumni meets organized by the institution or external bodies. Use platforms like LinkedIn to connect with professionals in the analytics field. Informational interviews can provide insights into career paths and potential opportunities.
Tools & Resources
LinkedIn, Professional analytics forums, BIT Mesra Alumni Network
Career Connection
Expands your professional network, opens doors to mentorship, internships, and potential job leads, giving you a competitive edge in placements.
Advanced Stage
Execute a High-Impact Summer Internship and Dissertation- (Semester 4)
Secure a challenging summer internship in an analytics-focused role. Apply all learned skills to solve real business problems, contributing measurable value to the organization. For your dissertation, choose a relevant, complex problem and conduct thorough research, demonstrating advanced analytical capabilities and independent problem-solving.
Tools & Resources
Company-specific software, Advanced analytics tools (e.g., Python/R, SQL, Tableau), Academic databases
Career Connection
Provides invaluable practical experience, strengthens your resume, and often leads to pre-placement offers, while the dissertation showcases your expertise and research acumen.
Master Data Visualization and Storytelling- (Semester 4)
Beyond generating models, learn to effectively visualize your data and communicate insights in a compelling story format. Practice creating dashboards using tools like Tableau or Power BI. Focus on clarity, conciseness, and actionable recommendations in your presentations.
Tools & Resources
Tableau Public, Microsoft Power BI, Storytelling with Data (book by Cole Nussbaumer Knaflic)
Career Connection
Excellent visualization and communication skills are critical for translating complex analytics into executive-level insights, making you a vital bridge between technical teams and business leadership.
Prepare for Placements with Mock Interviews and Portfolio Review- (Semester 4)
Engage in rigorous placement preparation, including technical and HR mock interviews. Practice answering behavioral questions and solving business analytics case studies. Refine your resume and LinkedIn profile, ensuring your projects and skills are well-articulated. Get feedback on your portfolio from mentors and faculty.
Tools & Resources
Placement cell resources, InterviewBit, Glassdoor (interview questions), LinkedIn
Career Connection
Thorough preparation maximizes your chances of converting interviews into job offers, ensuring a smooth transition into your desired analytics career post-MBA.
Program Structure and Curriculum
Eligibility:
- Bachelor’s Degree or equivalent qualification with minimum 50% (45% for SC/ST) aggregate marks.
Duration: 2 years (4 semesters)
Credits: 97 Credits
Assessment: Internal: 50%, External: 50%
Semester-wise Curriculum Table
Semester 1
| Subject Code | Subject Name | Subject Type | Credits | Key Topics |
|---|---|---|---|---|
| MBA1001 | Managerial Economics | Core | 3 | Demand and Supply Analysis, Production and Cost Analysis, Market Structures and Pricing Strategies, Macroeconomic Indicators, Business Cycles |
| MBA1003 | Principles and Practice of Management | Core | 3 | Management Functions, Management Theories, Decision Making Process, Planning and Organizing, Motivation and Leadership |
| MBA1005 | Organizational Behaviour | Core | 3 | Individual Behaviour, Group Dynamics and Teamwork, Motivation Theories, Leadership Styles, Organizational Culture and Change |
| MBA1007 | Accounting for Managers | Core | 3 | Financial Statements Analysis, Cost Accounting, Budgeting and Control, Working Capital Management, Capital Budgeting Decisions |
| MBA1009 | Business Statistics | Core | 3 | Descriptive Statistics, Probability Distributions, Hypothesis Testing, Correlation and Regression Analysis, Time Series Analysis |
| MBA1011 | Business Communication | Core | 3 | Oral and Written Communication, Presentation Skills, Business Correspondence, Cross-Cultural Communication, Negotiation and Report Writing |
| MBA1013 | Business Environment | Core | 3 | Economic Environment, Political and Legal Environment, Social and Cultural Environment, Technological Environment, Global Business Environment |
| MBA1015 | IT Applications in Business | Core | 2 | MS Office for Business, Database Management Systems, Enterprise Resource Planning, Cloud Computing Basics, E-commerce Technologies |
| MBA1017 | IT Applications in Business Lab | Lab | 1 | Advanced Excel Functions, Database Querying (SQL), Presentation Software Practicals, Business Intelligence Tools Overview, Hands-on Business Software |
Semester 2
| Subject Code | Subject Name | Subject Type | Credits | Key Topics |
|---|---|---|---|---|
| MBA2001 | Marketing Management | Core | 3 | Marketing Mix Strategies, Consumer Behaviour, Market Segmentation and Targeting, Product Life Cycle, Digital Marketing Fundamentals |
| MBA2003 | Financial Management | Core | 3 | Capital Budgeting Techniques, Cost of Capital, Working Capital Management, Dividend Policy Decisions, Sources of Finance |
| MBA2005 | Human Resource Management | Core | 3 | HR Planning and Recruitment, Training and Development, Performance Management, Compensation and Benefits, Industrial Relations |
| MBA2007 | Production and Operations Management | Core | 3 | Production Planning and Control, Inventory Management, Quality Management (TQM), Supply Chain Management, Lean Operations and JIT |
| MBA2009 | Research Methodology | Core | 3 | Research Design, Data Collection Methods, Sampling Techniques, Data Analysis and Interpretation, Report Writing and Ethics |
| MBA2011 | Business Analytics | Core | 3 | Introduction to Business Analytics, Data Collection and Preparation, Descriptive Analytics, Introduction to Predictive Analytics, Tools for Business Analytics (Excel, R/Python basics) |
| MBA2013 | Business Law | Core | 3 | Indian Contract Act, Company Law, Consumer Protection Act, Intellectual Property Rights, Cyber Law and E-commerce |
| MBA2015 | Operations Research | Core | 3 | Linear Programming, Transportation and Assignment Problems, Queuing Theory, Network Models (PERT/CPM), Simulation Techniques |
Semester 3
Semester 4
| Subject Code | Subject Name | Subject Type | Credits | Key Topics |
|---|---|---|---|---|
| MBA4001 | Entrepreneurship Development | Core | 3 | Entrepreneurial Process, Business Plan Development, Venture Creation and Funding, Innovation Management, Family Business Management |
| MBA4003 | International Business | Core | 3 | Globalization and Trade Theories, International Business Environment, Foreign Market Entry Strategies, International Finance and Marketing, Global Supply Chain Management |
| MBA4005 | Summer Internship and Grand Viva | Project | 5 | Practical Industry Exposure, Application of Management Concepts, Problem Solving in Real Business Context, Report Writing, Presentation and Viva Voce |
| MBA4007 | Dissertation | Project | 5 | Research Problem Identification, Literature Review, Methodology Design, Data Analysis and Interpretation, Academic Report Writing |
| MBA4041 | Artificial Intelligence for Business | Major Specialization Elective (Business Analytics) | 3 | AI Fundamentals and Concepts, AI Applications in Business, Natural Language Processing (NLP), Computer Vision Basics, Ethical AI and Bias |
| MBA4043 | Deep Learning and AI in Business | Major Specialization Elective (Business Analytics) | 3 | Neural Network Architectures, Convolutional Neural Networks (CNN), Recurrent Neural Networks (RNN), Deep Reinforcement Learning, Generative Models for Business |
| MBA4045 | Business Forecasting | Major Specialization Elective (Business Analytics) | 3 | Time Series Components, ARIMA and SARIMA Models, Exponential Smoothing Methods, Causal Forecasting Techniques, Forecast Accuracy Metrics |
| MBA4047 | Supply Chain Analytics | Major Specialization Elective (Business Analytics) | 3 | Demand Forecasting in SCM, Inventory Optimization, Logistics and Transportation Analytics, Supply Chain Network Design, Risk Management in Supply Chains |
| MBA4049 | Human Resource Analytics | Major Specialization Elective (Business Analytics) | 3 | Workforce Planning Analytics, Talent Acquisition and Retention Analytics, Performance and Engagement Analytics, Attrition Prediction Models, HR Dashboards and Reporting |
| MBA4051 | Healthcare Analytics | Major Specialization Elective (Business Analytics) | 3 | Clinical Data Analytics, Population Health Management, Pharma and Biotech Analytics, Healthcare Operations Optimization, Public Health Data Analysis |
