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MBA in Business Analytics at I.K. Gujral Punjab Technical University
Kapurthala, Punjab
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About the Specialization
What is Business Analytics at I.K. Gujral Punjab Technical University Kapurthala?
This Business Analytics program at I.K. Gujral Punjab Technical University focuses on equipping students with the skills to analyze complex business data, derive actionable insights, and drive strategic decision-making. With India''''s rapid digital transformation, there''''s an escalating demand for professionals adept at leveraging data for competitive advantage across sectors like e-commerce, finance, and healthcare. This program uniquely blends managerial acumen with advanced analytical tools and techniques.
Who Should Apply?
This program is ideal for recent graduates from any discipline seeking entry into the high-growth data analytics field, particularly those with a keen interest in problem-solving and quantitative analysis. It also caters to working professionals aiming to upskill their careers by transitioning into data-driven roles or enhancing their existing managerial capabilities with analytical expertise. A foundational understanding of mathematics or statistics can be beneficial.
Why Choose This Course?
Graduates of this program can expect to pursue rewarding career paths such as Business Analyst, Data Analyst, Marketing Analyst, Financial Analyst, or Consultant in leading Indian and multinational corporations. Entry-level salaries typically range from INR 4-7 LPA, with experienced professionals earning significantly more. The program prepares students for industry certifications like those in Tableau, Power BI, or Python, enhancing their professional growth trajectory within the Indian job market.
Student Success Practices
Foundation Stage
Strengthen Quantitative & Analytical Basics- (Semester 1-2)
Focus on core subjects like Business Statistics and Financial Accounting. Actively participate in the Business Communication & Research Lab and Business Analytics Software Lab to build foundational skills in data handling and basic analytical tools.
Tools & Resources
Khan Academy, NPTEL courses on Statistics, Excel, SPSS
Career Connection
Strong fundamentals are crucial for advanced analytics, helping crack initial screening tests and interviews for analyst roles.
Develop Software Proficiency- (Semester 1-2)
Get hands-on with basic data analysis and visualization tools introduced in labs. Practice daily with sample datasets to become proficient in Excel and understand the basics of BI tools.
Tools & Resources
Microsoft Excel, Tableau Public tutorials, Power BI Desktop
Career Connection
These are entry-level requirements for almost all Business Analyst positions in India.
Engage in Peer Learning & Case Studies- (Semester 1-2)
Form study groups to discuss complex management and economic concepts. Actively participate in case study analyses to understand business problems from multiple perspectives, and volunteer for presentations to enhance communication skills.
Tools & Resources
Harvard Business Review cases, NPTEL case studies
Career Connection
Improves critical thinking, teamwork, and presentation skills, vital for consulting and analytical roles.
Intermediate Stage
Deep Dive into Specialization Electives- (Semester 3)
Choose Business Analytics electives strategically based on career interests. Dedicate extra time to master programming languages (Python/R) and specialized tools like Tableau/Power BI or Big Data technologies through dedicated online courses.
Tools & Resources
DataCamp, Coursera (Python for Everybody, R Programming), Udemy courses, official Tableau/Power BI documentation
Career Connection
Builds specialized skills highly valued by companies hiring for specific data science or BI roles, making you a strong candidate for internships.
Undertake Mini-Projects & Hackathons- (Semester 3)
Apply classroom knowledge by working on small personal data analytics projects or participating in hackathons. Kaggle is an excellent platform for this. Focus on real-world problems and build a portfolio of analytical solutions.
Tools & Resources
Kaggle, GitHub, local university data science clubs
Career Connection
Demonstrates practical application of skills, crucial for showing recruiters your capabilities beyond academic scores.
Network and Seek Industry Mentorship- (Semester 3)
Attend webinars, industry conferences (even virtual ones), and connect with professionals on LinkedIn. Seek guidance from alumni or industry experts on career paths and skill development.
Tools & Resources
LinkedIn, industry-specific online communities, university alumni network
Career Connection
Opens doors to internship opportunities, valuable career advice, and potential job leads.
Advanced Stage
Excel in the Management Project- (Semester 4)
Select a challenging Management Project that aligns with your specialization (Business Analytics). Focus on a real business problem, meticulously apply analytical techniques, and produce a high-quality report and presentation.
Tools & Resources
Research papers, industry reports, advanced analytics software, university research guidance
Career Connection
A strong project acts as a capstone, showcasing your ability to conduct independent research and deliver data-driven solutions, a major differentiator during placements.
Intensive Placement Preparation- (Semester 4)
Actively participate in campus placement drives. Prepare rigorously for technical interviews focusing on business analytics concepts, SQL, Python/R, and case studies. Practice soft skills for group discussions and HR rounds.
Tools & Resources
InterviewBit, LeetCode (for analytical thinking), Mock interview sessions, university placement cell resources
Career Connection
Directly leads to securing lucrative job offers in top analytics firms and corporate analytics departments across India.
Cultivate Continuous Learning & Certifications- (Semester 4 and beyond)
Stay updated with the latest trends in data science and business analytics (e.g., AI/ML, cloud analytics). Pursue relevant industry certifications (e.g., Google Data Analytics, Microsoft Certified: Azure Data Scientist Associate) to add value to your profile.
Tools & Resources
Google Skillshop, Microsoft Learn, SAS/IBM certifications, industry blogs
Career Connection
Ensures long-term career growth, adaptability to new technologies, and a competitive edge in the evolving Indian analytics landscape.
Program Structure and Curriculum
Eligibility:
- Minimum 3 year Bachelor Degree in any discipline with 50% marks (45% for SC/ST) as per general MBA eligibility.
Duration: 4 semesters / 2 years
Credits: 93 Credits
Assessment: Internal: 30%, External: 70%
Semester-wise Curriculum Table
Semester 1
| Subject Code | Subject Name | Subject Type | Credits | Key Topics |
|---|---|---|---|---|
| MBA101-23 | Management Process and Organizational Behavior | Core | 4 | Management Fundamentals, Planning & Decision Making, Organizing & Staffing, Directing & Controlling, Organizational Behavior, Individual & Group Dynamics |
| MBA103-23 | Business Economics | Core | 4 | Nature of Business Economics, Demand & Supply Analysis, Production & Cost, Market Structures, Macroeconomic Environment, Business Cycles |
| MBA105-23 | Financial Accounting & Analysis | Core | 4 | Accounting Principles, Financial Statements, Journal & Ledger, Cash Flow Analysis, Cost Accounting, Financial Statement Analysis |
| MBA107-23 | Business Statistics | Core | 4 | Data Collection & Presentation, Measures of Central Tendency, Probability & Distributions, Hypothesis Testing, Correlation & Regression, Time Series Analysis |
| MBA109-23 | Marketing Management | Core | 4 | Marketing Concepts, Consumer Behavior, Market Segmentation, Product & Brand Management, Pricing Strategies, Promotion & Distribution |
| MBA111-23 | Business Communication & Research Lab | Core | 2 | Principles of Business Communication, Report & Proposal Writing, Presentation Skills, Business Research Basics, Data Collection Methods, SPSS/Excel for Analysis |
| MBA113-23 | Information Technology Management | Core | 2 | Role of IT in Business, IT Infrastructure, Data Management, E-commerce & E-business, IT Security, Emerging Technologies |
Semester 2
| Subject Code | Subject Name | Subject Type | Credits | Key Topics |
|---|---|---|---|---|
| MBA102-23 | Human Resource Management | Core | 4 | HRM Functions, HR Planning, Recruitment & Selection, Training & Development, Performance Management, Compensation & Benefits |
| MBA104-23 | Marketing Research | Core | 4 | Marketing Research Process, Research Design, Data Collection Methods, Sampling Techniques, Measurement Scales, Data Analysis & Report |
| MBA106-23 | Financial Management | Core | 4 | Financial System, Time Value of Money, Capital Budgeting, Working Capital Management, Sources of Finance, Dividend Decisions |
| MBA108-23 | Operations Management | Core | 4 | Production Systems, Facility Layout, Production Planning & Control, Inventory Management, Quality Management, Supply Chain Fundamentals |
| MBA110-23 | Business Environment and Law | Core | 4 | Economic Environment, Political & Legal Environment, Socio-Cultural Environment, Business Ethics, Corporate Social Responsibility, Indian Business Laws |
| MBA112-23 | Business Analytics Software Lab | Core | 2 | Introduction to Analytics Tools, Data Extraction & Transformation, Data Visualization, Descriptive & Predictive Analytics, Reporting & Dashboards |
| MBA114-23 | Entrepreneurship | Core | 2 | Entrepreneurial Process, Opportunity Identification, Business Plan Development, Funding Sources, Legal & Ethical Issues, Family Business |
Semester 3
| Subject Code | Subject Name | Subject Type | Credits | Key Topics |
|---|---|---|---|---|
| MBA201-23 | Strategic Management | Core | 4 | Strategic Planning Process, Environmental Analysis, Strategy Formulation, Corporate & Business Level Strategies, Strategy Implementation, Strategic Control |
| MBA203-23 | Research Methodology | Core | 4 | Research Problem & Design, Sampling Techniques, Data Collection Tools, Questionnaire Design, Data Analysis (ANOVA, Regression), Report Writing |
| MBA2BA1-23 | Data Science for Business Analytics | Elective (Business Analytics) | 4 | Data Science Lifecycle, Data Preprocessing, Supervised Learning, Unsupervised Learning, Model Evaluation, Ethical Considerations in AI |
| MBA2BA3-23 | Business Intelligence and Data Visualization | Elective (Business Analytics) | 4 | BI Concepts, Data Warehousing, OLAP & Data Mining, Tableau/Power BI, Dashboarding, Storytelling with Data |
| MBA2BA5-23 | Advanced Excel for Business Analytics | Elective (Business Analytics) | 4 | Advanced Formulas, Data Validation, PivotTables & Charts, What-If Analysis, Solver, VBA Macros |
| MBA2BA7-23 | Python for Business Analytics | Elective (Business Analytics) | 4 | Python Fundamentals, Data Structures, Pandas for Data Manipulation, NumPy for Numerical Computing, Data Visualization with Matplotlib/Seaborn, Web Scraping |
| MBA2BA9-23 | R for Business Analytics | Elective (Business Analytics) | 4 | R Basics, Data Import & Export, Data Manipulation with Dplyr, Statistical Modeling, Data Visualization with Ggplot2, Shiny Apps |
| MBA2BA11-23 | Big Data Analytics | Elective (Business Analytics) | 4 | Big Data Concepts, Hadoop Ecosystem (HDFS, MapReduce), Spark Framework, NoSQL Databases (MongoDB, Cassandra), Stream Processing, Cloud Big Data Services |
Semester 4
| Subject Code | Subject Name | Subject Type | Credits | Key Topics |
|---|---|---|---|---|
| MBA202-23 | Supply Chain Management | Core | 4 | SCM Components, Demand Forecasting, Inventory Management, Logistics & Transportation, Warehouse Management, SCM Performance Measurement |
| MBA204-23 | International Business | Core | 4 | Globalization Forces, International Trade & Investment Theories, Foreign Exchange Markets, International Marketing, Global HR Strategies, Cross-Cultural Management |
| MBA206-23 | Project Management | Core | 4 | Project Lifecycle, Project Planning & Scheduling (PERT/CPM), Resource Allocation, Risk Management, Project Monitoring & Control, Agile Project Management |
| MBA208-23 | Management Project | Core | 18 | Problem Definition, Literature Review, Research Design, Data Analysis & Interpretation, Findings & Recommendations, Thesis Writing |
| MBA210-23 | Comprehensive Viva-Voce & Seminar | Core | 3 | Current Business Trends, Industry Analysis, Personal Interview Preparation, Professional Communication, Presentation Skills, Viva Defense |
