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MBA in Business Analytics at Gian Jyoti Institute of Management and Technology
S.A.S. Nagar (Mohali), Punjab
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About the Specialization
What is Business Analytics at Gian Jyoti Institute of Management and Technology S.A.S. Nagar (Mohali)?
This MBA Business Analytics program at Gian Jyoti Institute of Management and Technology focuses on equipping future managers with critical data-driven decision-making skills. In the rapidly evolving Indian business landscape, companies are increasingly leveraging data for strategic insights, making this program highly relevant. It differentiates itself by blending core management principles with advanced analytical techniques, preparing students for the demands of modern industry. The growing digital economy in India fuels a significant demand for such specialized professionals.
Who Should Apply?
This program is ideal for fresh graduates from any stream seeking an entry into the dynamic field of data science and business intelligence. It also caters to working professionals aiming to upskill themselves in analytics to enhance their career progression or transition into data-centric roles. Individuals with a keen interest in numbers, problem-solving, and a basic understanding of quantitative methods will find this specialization particularly rewarding, preparing them for analytics leadership roles.
Why Choose This Course?
Graduates of this program can expect to pursue diverse career paths in India, including Business Analyst, Data Analyst, Market Research Analyst, Financial Analyst, and Analytics Consultant. Entry-level salaries typically range from INR 4-7 LPA, growing significantly with experience to INR 10-20+ LPA for senior roles in Indian companies and MNCs. The program aligns students with skills required for popular professional certifications in data science and analytics, fostering strong growth trajectories in various sectors.
Student Success Practices
Foundation Stage
Master Quantitative Fundamentals- (Semester 1-2)
Focus rigorously on Business Statistics, Operations Research, and Managerial Economics. Attend extra tutorial sessions, solve diverse problem sets from textbooks and online platforms, and form study groups to clarify concepts.
Tools & Resources
Khan Academy, NPTEL modules, Dedicated problem-solving sessions, Peer study groups
Career Connection
Strong quantitative skills are the bedrock for advanced analytics; mastering these ensures a solid foundation for statistical modeling and data interpretation crucial for roles like Data Analyst.
Develop Strong Business Communication & Software Proficiency- (Semester 1-2)
Actively participate in Business Communication classes and presentation exercises. Simultaneously, become highly proficient in MS-Office (especially Excel for data handling) by completing online courses, practicing with real business datasets, and utilizing its advanced features beyond basic functions.
Tools & Resources
LinkedIn Learning (for Excel), Coursera, GJIMT Computer Lab resources, College debate/presentation clubs
Career Connection
Effective communication is vital for presenting analytical insights, and advanced Excel skills are a non-negotiable for almost all entry-level business analytics roles in India.
Cultivate Cross-Functional Management Understanding- (Semester 1-2)
Pay close attention to core management subjects like Marketing, Finance, HR, and Operations Management. Understand how each function generates and uses data. Seek opportunities to discuss data implications across these functions in case studies and projects.
Tools & Resources
Harvard Business Review cases, Industry reports, Guest lectures by functional heads
Career Connection
A holistic understanding of business functions allows analysts to ask the right questions, interpret data within context, and propose truly impactful solutions, making them valuable strategic assets.
Intermediate Stage
Dive Deep into Core Analytics Tools & Techniques- (Semester 3)
Go beyond classroom lectures in Introduction to Business Analytics, Spreadsheet Modeling, and Data Mining. Actively engage in practical exercises using Excel Solver, perform data cleaning and transformation, and experiment with basic data mining algorithms on real-world datasets.
Tools & Resources
Kaggle datasets, Tableau Public (free version), Python/R basics (DataCamp, Coursera), Excel add-ins
Career Connection
Hands-on experience with these tools and techniques is directly applicable to entry-level Business Analyst and Data Analyst roles, allowing you to build foundational models and derive insights.
Undertake a Meaningful Summer Internship- (End of Semester 2 / During Semester 3 break)
Proactively seek out a summer internship specifically in a business analytics or data analysis role. Focus on gaining practical experience in data collection, cleaning, preliminary analysis, and reporting within a company. Document your learnings and network extensively during this period.
Tools & Resources
College placement cell, LinkedIn, Internshala, Company career pages
Career Connection
A relevant internship is crucial for gaining real-world exposure, building a professional network, and often leads to pre-placement offers, significantly boosting employability in the Indian market.
Participate in Data Challenge Competitions- (Semester 3)
Join online data science and analytics competitions (e.g., Kaggle, Analytics Vidhya) or inter-college hackathons. This helps apply learned concepts, develop problem-solving skills under pressure, and build a portfolio of practical projects.
Tools & Resources
Kaggle, Analytics Vidhya, GitHub for project showcasing
Career Connection
Competition experience demonstrates initiative, practical skills, and resilience, which are highly valued by recruiters for analytics roles in India.
Advanced Stage
Build a Robust Portfolio with Project Work- (Semester 4)
For your Dissertation/Project Work, choose a challenging business analytics problem. Apply advanced techniques like predictive modeling, data visualization, and big data concepts. Ensure your project demonstrates end-to-end analytical capability, from problem definition to actionable recommendations.
Tools & Resources
Python/R for advanced modeling, Tableau/Power BI for visualization, Cloud platforms (AWS/Azure/GCP) for big data components, GitHub for project repository
Career Connection
A strong, well-documented project portfolio is often the most important differentiator for placements, showcasing your expertise and readiness for complex analytics roles in India.
Develop Specialized Skills in Big Data & Visualization- (Semester 4)
Beyond coursework in Big Data Analytics and Data Visualization, independently explore advanced concepts in Hadoop, Spark, NoSQL databases, and master data visualization tools like Tableau or Power BI. Aim to achieve certifications if feasible.
Tools & Resources
Official documentation for Hadoop/Spark, Online courses for Tableau/Power BI, Relevant professional certifications
Career Connection
Proficiency in these cutting-edge technologies is highly sought after, enabling graduates to secure roles in advanced analytics, data engineering, and data visualization teams at top Indian companies.
Master Interview Skills & Network Strategically- (Semester 4)
Actively participate in mock interviews, group discussions, and viva voce sessions. Focus on articulating your analytical thought process and project contributions clearly. Network with alumni, industry professionals, and company representatives for insights and opportunities.
Tools & Resources
College placement cell, Alumni network platforms, LinkedIn, Professional events/webinars
Career Connection
Polished interview skills and a strong professional network are critical for converting technical expertise into successful placements in a competitive Indian job market.
Program Structure and Curriculum
Eligibility:
- Bachelor''''s Degree in any stream (minimum 3-year duration) from any recognized University with minimum 50% marks (45% for SC/ST category) in aggregate or any other examination recognized by the University as equivalent thereto.
Duration: 2 years (4 semesters)
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 Principles & Organizational Behaviour | Core | 4 | Introduction to Management, Planning & Decision Making, Organizing, Staffing & Controlling, Leadership, Motivation & Morale, Group Dynamics, Organizational Change & Development |
| MBA-102 | Managerial Economics | Core | 4 | Introduction to Managerial Economics, Demand Analysis, Production Analysis, Cost Analysis, Market Structures, Pricing Strategies |
| MBA-103 | Financial Accounting & Analysis | Core | 4 | Introduction to Accounting, Recording Transactions, Financial Statements, Fund Flow Statement, Cash Flow Statement, Financial Statement Analysis |
| MBA-104 | Business Environment | Core | 4 | Indian Business Environment, Economic Environment, Political & Legal Environment, Socio-Cultural Environment, Technological Environment, International Business Environment |
| MBA-105 | Business Statistics | Core | 4 | Introduction to Statistics, Measures of Central Tendency & Dispersion, Probability Distributions, Sampling & Estimation, Hypothesis Testing, Correlation & Regression |
| MBA-106 | Business Communication | Core | 4 | Principles of Communication, Oral Communication, Written Communication, Non-Verbal Communication, Presentation Skills, Cross-Cultural Communication |
| MBA-107 | Computer Applications for Business Lab | Lab | 2 | MS-Office applications (Word, Excel, PowerPoint), Data Analysis using Excel, Internet & Email usage, Business Software basics |
Semester 2
| Subject Code | Subject Name | Subject Type | Credits | Key Topics |
|---|---|---|---|---|
| MBA-201 | Marketing Management | Core | 4 | Introduction to Marketing, Consumer Behaviour, Market Segmentation, Product Decisions, Pricing Decisions, Promotion Decisions, Distribution Decisions |
| MBA-202 | Financial Management | Core | 4 | Introduction to Financial Management, Time Value of Money, Capital Budgeting, Cost of Capital, Working Capital Management, Dividend Policy |
| MBA-203 | Human Resource Management | Core | 4 | Introduction to HRM, HR Planning, Recruitment & Selection, Training & Development, Performance Management, Compensation Management, Industrial Relations |
| MBA-204 | Operations Management | Core | 4 | Introduction to Operations Management, Facilities Location & Layout, Production Planning & Control, Inventory Management, Quality Management, Supply Chain Management |
| MBA-205 | Research Methodology | Core | 4 | Introduction to Research, Research Design, Data Collection Methods, Sampling Design, Data Analysis, Report Writing |
| MBA-206 | Operations Research | Core | 4 | Introduction to Operations Research, Linear Programming, Transportation Problem, Assignment Problem, Game Theory, Queuing Theory |
| MBA-207 | Presentation & Viva-Voce | Practical | 2 | Business presentations, Public speaking, Interview skills, Group discussions, Self-assessment |
Semester 3
| Subject Code | Subject Name | Subject Type | Credits | Key Topics |
|---|---|---|---|---|
| MBA-301 | Corporate Strategy | Core | 4 | Strategic Management Process, Environmental Analysis, Organizational Analysis, Strategy Formulation, Strategy Implementation, Strategic Control |
| MBA-302 | Legal Aspects of Business | Core | 4 | Indian Contract Act, Sale of Goods Act, Negotiable Instruments Act, Companies Act, Consumer Protection Act, Intellectual Property Rights |
| MBA-303 | Business Ethics & Corporate Governance | Core | 4 | Introduction to Business Ethics, Ethical Theories, Corporate Social Responsibility, Corporate Governance Principles, Whistle Blowing, Environmental Ethics |
| MBA-BA-301 | Introduction to Business Analytics | Elective - Specialization | 4 | Analytics Foundations, Data Driven Decision Making, Descriptive Analytics, Predictive Analytics, Prescriptive Analytics, Big Data Concepts |
| MBA-BA-302 | Spreadsheet Modeling for Business Analytics | Elective - Specialization | 4 | Advanced Excel Functions, Data Tables, Scenario Manager, Solver, Optimization Models, Simulation Models, Data Visualization in Excel |
| MBA-BA-303 | Data Mining for Business Analytics | Elective - Specialization | 4 | Introduction to Data Mining, Data Preprocessing, Classification Techniques, Clustering Techniques, Association Rule Mining, Text Mining |
| MBA-307 | Summer Internship | Project | 2 | Project Planning, Data Collection, Analysis, Report Writing, Presentation of Findings, Industry Exposure |
Semester 4
| Subject Code | Subject Name | Subject Type | Credits | Key Topics |
|---|---|---|---|---|
| MBA-401 | Project Management | Core | 4 | Project Life Cycle, Project Planning, Project Scheduling (PERT/CPM), Resource Allocation, Risk Management, Project Monitoring & Control |
| MBA-402 | International Business | Core | 4 | Globalization, Theories of International Trade, Foreign Exchange Market, International Financial Management, International Marketing, Global Business Strategies |
| MBA-BA-401 | Business Forecasting & Predictive Modelling | Elective - Specialization | 4 | Time Series Analysis, Regression Models, Machine Learning Algorithms (Decision Trees, SVM), Neural Networks, Model Evaluation, Forecasting Techniques |
| MBA-BA-402 | Data Visualization for Business | Elective - Specialization | 4 | Principles of Data Visualization, Chart Types, Dashboard Design, Storytelling with Data, Tools (Tableau/Power BI), Infographics |
| MBA-BA-403 | Big Data Analytics | Elective - Specialization | 4 | Introduction to Big Data, Hadoop Ecosystem (HDFS, MapReduce), Spark, NoSQL Databases, Data Streaming, Cloud Computing for Big Data |
| MBA-406 | Dissertation / Project Work | Project | 6 | Research Problem Identification, Literature Review, Methodology, Data Analysis, Findings & Discussion, Conclusion & Recommendations |
| MBA-407 | Viva-Voce | Practical | 2 | Comprehensive knowledge assessment, Communication skills, Defense of project work, Industry trends |
