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MBA in Business Analytics at CHRIST (Deemed to be University)
Bengaluru, Karnataka
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About the Specialization
What is Business Analytics at CHRIST (Deemed to be University) Bengaluru?
This Business Analytics program at CHRIST (Deemed to be University) focuses on equipping students with advanced analytical skills to transform data into strategic business insights. It addresses the growing demand for data-savvy professionals in the Indian industry by blending core management principles with cutting-edge analytical techniques, preparing graduates for complex decision-making roles.
Who Should Apply?
This program is ideal for fresh graduates from diverse disciplines seeking entry into the high-demand analytics field, as well as working professionals aiming to upskill and lead data-driven initiatives. It is also suitable for career changers transitioning to technology and data roles, especially those with a strong quantitative aptitude and a desire to impact business strategy.
Why Choose This Course?
Graduates of this program can expect promising India-specific career paths in roles like Data Scientist, Business Analyst, Analytics Consultant, and AI/ML Engineer. Entry-level salaries typically range from INR 6-12 LPA, with experienced professionals earning significantly more. The program aligns with professional certifications like PMP and prepares for growth trajectories in major Indian and multinational corporations.
Student Success Practices
Foundation Stage
Master Core Management and Quantitative Skills- (Semester 1-2)
Dedicate extra time to build a strong foundation in managerial economics, accounting, and especially quantitative techniques. Utilize online platforms like Coursera for ''''Business Statistics'''' or ''''Econometrics'''' and solve problems from standard textbooks to solidify understanding. Join peer study groups for collaborative problem-solving and concept reinforcement.
Tools & Resources
Coursera, Khan Academy, Reference textbooks for Quant and Economics, Peer Study Groups
Career Connection
A robust understanding of these fundamentals is critical for interpreting analytical results in a business context and forms the bedrock for advanced analytics courses, directly impacting future analytical role performance.
Build Foundational Programming Proficiency (Python/R)- (Semester 1-2)
Beyond classroom learning, actively engage in self-paced learning for Python or R. Practice coding regularly using platforms like HackerRank or LeetCode (easy level) and work through ''''data manipulation'''' and ''''statistical analysis'''' tutorials. Participate in coding challenges focused on business problems to enhance practical application skills.
Tools & Resources
Kaggle (Introductory Notebooks), DataCamp, HackerRank, Project Euler
Career Connection
Proficiency in analytical programming languages is a non-negotiable skill for Business Analytics roles. Early mastery significantly boosts internship prospects and reduces learning curve during job roles.
Develop Data Visualization Acumen- (Semester 2)
Start exploring tools like Tableau Public or Power BI early. Download sample datasets and create various charts, dashboards, and stories. Focus on clarity, accuracy, and effective communication. Seek feedback from professors or seniors on your visualization projects to refine your storytelling abilities.
Tools & Resources
Tableau Public, Power BI Desktop (Free), YouTube tutorials for visualization best practices
Career Connection
The ability to visually communicate insights is as crucial as finding them. Strong data visualization skills differentiate candidates and are highly valued in analytical roles for presenting findings to non-technical stakeholders.
Intermediate Stage
Engage in Applied Data Analytics Projects- (Semester 3)
Actively seek and participate in hands-on projects, either through college initiatives, Kaggle competitions, or personal passion projects. Focus on end-to-end problem solving: data collection, cleaning, modeling (using machine learning), and presenting insights. Document your process thoroughly and build a portfolio on GitHub.
Tools & Resources
Kaggle Competitions, GitHub, University research labs/mentors
Career Connection
Practical project experience is paramount for placements. Recruiters look for candidates who can demonstrate real-world application of their analytical skills. A strong project portfolio showcases capability and problem-solving prowess.
Pursue Industry-Relevant Certifications- (Semester 3)
Identify and pursue certifications in specific tools or domains that align with your career interests. Examples include AWS Certified Cloud Practitioner, Google Analytics Individual Qualification, Microsoft Certified: Azure Data Scientist Associate, or Tableau Desktop Specialist. These add a verifiable layer of expertise to your profile.
Tools & Resources
AWS Training and Certification, Google Analytics Academy, Microsoft Learn, Tableau Certification Program
Career Connection
Certifications validate specialized skills to potential employers, especially in the competitive Indian job market. They signal commitment to a particular technology stack and can significantly improve hiring odds.
Network and Attend Industry Events- (Semester 3)
Actively network with alumni, industry professionals, and faculty. Attend webinars, workshops, and conferences focused on business analytics in India (e.g., India Analytics Summit, NASSCOM events). Engage in LinkedIn discussions and informational interviews to understand industry trends and potential career paths.
Tools & Resources
LinkedIn, Industry conferences (virtual and in-person), Alumni Association events
Career Connection
Networking opens doors to internships and job opportunities that might not be publicly advertised. Insights gained from industry professionals can help tailor skill development to current market needs, enhancing employability.
Advanced Stage
Focus on Specialization and Advanced Techniques- (Semester 4)
During your final semesters, delve deeper into a chosen area of analytics (e.g., AI/ML, Financial Analytics, Marketing Analytics). Take advanced electives and pursue independent research or projects in that specific domain. Master tools like TensorFlow/Keras or advanced statistical software for complex modeling.
Tools & Resources
Advanced university electives, MOOCs for specialized topics, Research papers and journals
Career Connection
Specialized knowledge makes you a valuable asset in niche roles and demonstrates a higher level of expertise, commanding better compensation and more challenging career opportunities.
Undertake a Robust Capstone Project/Dissertation- (Semester 4)
Choose a capstone project with real-world business relevance, preferably sponsored by an industry partner. Focus on delivering measurable business impact through your analytical solution. Treat it as a simulated work experience, emphasizing project management, data security, and ethical considerations. Prepare a professional report and presentation.
Tools & Resources
Industry mentors, Project management software (Jira, Trello), University research support
Career Connection
The capstone project is often the centerpiece of your resume and interview discussions. A well-executed, impactful project directly showcases your ability to solve complex business problems, which is highly attractive to potential employers for full-time roles.
Intensive Placement Preparation and Mock Interviews- (Semester 4)
Engage in rigorous placement preparation, including mock interviews focusing on both technical (coding, statistics, ML concepts) and behavioral questions. Practice case studies relevant to business analytics roles. Tailor your resume and LinkedIn profile to highlight your analytical skills and project experiences, aligning them with target companies in India.
Tools & Resources
Career Services cell, Mock interview platforms, Interview experience sites (Glassdoor, GeeksforGeeks), LinkedIn profile optimization guides
Career Connection
Effective placement preparation ensures you are interview-ready, confident, and articulate, maximizing your chances of securing desirable placements at top-tier companies and kickstarting your career in business analytics.
Program Structure and Curriculum
Eligibility:
- Bachelor''''s degree (10+2+3 or 10+2+4) with 50% or above aggregate marks from any recognized University in India or abroad. Candidates are required to have a valid score in CAT/XAT/MAT/CMAT/ATMA/GMAT followed by a Micro Presentation and Personal Interview.
Duration: 2 Years (4 Semesters)
Credits: 108 Credits
Assessment: Internal: 50%, External: 50%
Semester-wise Curriculum Table
Semester 1
| Subject Code | Subject Name | Subject Type | Credits | Key Topics |
|---|---|---|---|---|
| MBA101 | Management Perspectives | Core | 3 | Evolution of Management Thought, Planning and Organizing, Leading and Controlling, Decision Making, Global Business Environment |
| MBA102 | Managerial Economics | Core | 3 | Demand and Supply Analysis, Production and Cost Analysis, Market Structures, Pricing Strategies, Macroeconomic Indicators |
| MBA103 | Accounting for Managers | Core | 3 | Financial Accounting Principles, Preparation of Financial Statements, Cost Accounting, Budgeting and Control, Financial Statement Analysis |
| MBA104 | Organizational Behaviour | Core | 3 | Individual Behaviour, Group Dynamics, Motivation and Leadership, Organizational Culture, Conflict Management |
| MBA105 | Quantitative Techniques for Management | Core | 3 | Linear Programming, Network Analysis, Decision Theory, Queuing Theory, Simulation |
| MBA106 | Marketing Management | Core | 3 | Marketing Environment, Consumer Behaviour, Product and Brand Management, Pricing Strategies, Promotion and Distribution |
| MBA107 | Business Communication | Core | 2 | Verbal and Non-verbal Communication, Business Correspondence, Presentations and Public Speaking, Report Writing, Cross-Cultural Communication |
Semester 2
| Subject Code | Subject Name | Subject Type | Credits | Key Topics |
|---|---|---|---|---|
| MBA201 | Human Resource Management | Core | 3 | HR Planning, Recruitment and Selection, Training and Development, Performance Management, Compensation and Benefits |
| MBA202 | Financial Management | Core | 3 | Time Value of Money, Capital Budgeting, Cost of Capital, Working Capital Management, Dividend Policy |
| MBA203 | Operations Management | Core | 3 | Process Design, Capacity Planning, Inventory Management, Quality Management, Supply Chain Management |
| MBA204 | Research Methods for Management | Core | 3 | Research Design, Data Collection Methods, Sampling Techniques, Data Analysis (Descriptive & Inferential), Report Writing |
| MBABA205 | Fundamentals of Business Analytics | Specialization Core | 3 | Introduction to Analytics, Descriptive Analytics, Predictive Analytics, Prescriptive Analytics, Analytics Tools Overview |
| MBABA206 | Data Visualization and Communication | Specialization Core | 3 | Principles of Data Visualization, Dashboard Design, Storytelling with Data, Tools: Tableau, Power BI, Effective Data Communication |
| MBABA207 | Programming for Business Analytics (Python/R) | Specialization Core | 3 | Python/R Basics, Data Structures, Data Manipulation (Pandas/dplyr), Statistical Programming, Introduction to Libraries (NumPy, Scikit-learn) |
| MBA208 | Summer Internship Project - Phase I | Project | 2 | Project Identification, Problem Definition, Literature Review, Methodology Design, Initial Data Collection |
Semester 3
| Subject Code | Subject Name | Subject Type | Credits | Key Topics |
|---|---|---|---|---|
| MBA301 | Strategic Management | Core | 3 | Strategic Planning Process, Environmental Analysis, Strategy Formulation, Strategy Implementation, Strategic Control |
| MBABA302 | Advanced Statistical Modeling for Business Analytics | Specialization Core | 4 | Regression Analysis, ANOVA and MANOVA, Time Series Analysis, Forecasting Techniques, Multivariate Statistics |
| MBABA303 | Machine Learning for Business Applications | Specialization Core | 4 | Supervised Learning (Classification, Regression), Unsupervised Learning (Clustering), Model Evaluation and Selection, Feature Engineering, Deep Learning Introduction |
| MBABA304 | Big Data Technologies and Management | Specialization Core | 3 | Big Data Ecosystem, Hadoop and Spark, NoSQL Databases, Data Lakes and Warehousing, Cloud Computing for Big Data |
| MBABA305A | Marketing Analytics | Elective (Business Analytics) | 3 | Customer Lifetime Value, Market Mix Modeling, Digital Analytics, Sentiment Analysis, Campaign Optimization |
| MBABA305B | Financial Analytics | Elective (Business Analytics) | 3 | Risk Analytics, Portfolio Optimization, Fraud Detection, Algorithmic Trading, Credit Scoring |
| MBABA305C | HR Analytics | Elective (Business Analytics) | 3 | Workforce Planning Analytics, Recruitment and Retention Analytics, Performance Analytics, Employee Engagement, HR Metrics and Dashboards |
| MBABA306 | Summer Internship Project - Phase II | Project | 4 | Data Analysis and Interpretation, Report Writing, Presentation Skills, Industry Exposure, Problem Solving |
Semester 4
| Subject Code | Subject Name | Subject Type | Credits | Key Topics |
|---|---|---|---|---|
| MBABA401 | Prescriptive Analytics and Optimization | Specialization Core | 4 | Optimization Techniques, Simulation Modeling, Decision Trees and Rules, Heuristic Algorithms, Mathematical Programming |
| MBABA402 | Artificial Intelligence and Cognitive Computing for Business | Specialization Core | 4 | AI Foundations, Natural Language Processing, Computer Vision Basics, Robotic Process Automation, Ethical AI |
| MBABA403 | Data Governance, Security, and Ethics | Specialization Core | 3 | Data Privacy Regulations (GDPR, India Data Protection Bill), Data Quality Management, Data Security Best Practices, Ethical Considerations in AI/ML, Compliance and Audit |
| MBABA404A | Supply Chain Analytics | Elective (Business Analytics) | 3 | Demand Forecasting, Inventory Optimization, Logistics Analytics, Network Design, Supplier Performance Analytics |
| MBABA404B | Healthcare Analytics | Elective (Business Analytics) | 3 | Electronic Health Records Analysis, Disease Outbreak Prediction, Personalized Medicine, Healthcare Operations Optimization, Patient Outcomes Analysis |
| MBABA404C | Retail Analytics | Elective (Business Analytics) | 3 | Customer Segmentation, Assortment Optimization, Pricing Analytics, Store Performance Analysis, E-commerce Analytics |
| MBABA405 | Business Analytics Capstone Project | Project | 6 | End-to-end Project Management, Advanced Data Modeling, Solution Implementation, Results Interpretation, Business Impact Assessment |
