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MBA in Business Analytics at Punjab Institute of Management & Technology
Fatehgarh Sahib, Punjab
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About the Specialization
What is Business Analytics at Punjab Institute of Management & Technology Fatehgarh Sahib?
This Business Analytics program at Punjab Institute of Management and Technology, affiliated with IKGPTU, focuses on equipping students with advanced analytical skills crucial for data-driven decision-making in the Indian corporate landscape. It integrates management principles with cutting-edge analytical tools and techniques, emphasizing practical applications relevant to various industry sectors experiencing a surge in data adoption. The program differentiates itself by providing a robust foundation in both business acumen and analytical methodologies.
Who Should Apply?
This program is ideal for fresh graduates from any discipline seeking entry into the rapidly expanding field of data science and business intelligence in India. It also caters to working professionals aiming to upskill their analytical capabilities or transition into data-centric roles. Individuals with a strong quantitative aptitude and a desire to solve complex business problems using data will find this specialization highly rewarding, opening doors to diverse career paths.
Why Choose This Course?
Graduates of this program can expect to pursue India-specific career paths such as Business Analyst, Data Analyst, Market Research Analyst, Financial Modeler, or Data Scientist across various sectors. Entry-level salaries typically range from INR 4-7 lakhs per annum, with experienced professionals potentially earning INR 10-20 lakhs or more. The growth trajectory is steep, aligned with the increasing demand for data expertise, and the program prepares students for professional certifications in analytics tools like Tableau or Python.
Student Success Practices
Foundation Stage
Solidify Quantitative and Statistical Foundations- (Semester 1-2)
Actively engage with core subjects like Business Statistics and Managerial Economics. Focus on understanding concepts deeply, not just memorizing formulas. Regularly practice problem-solving using textbooks and online resources. Form study groups to discuss complex topics and clarify doubts, building a strong base for analytical subjects.
Tools & Resources
Khan Academy, NPTEL courses on Statistics, NCERT Mathematics (Class 11-12 for refreshers), IKGPTU prescribed textbooks
Career Connection
A strong grasp of quantitative methods is fundamental for all future data analysis and modeling roles, enabling accurate interpretation of business data.
Develop Proficiency in Core Business Software- (Semester 1-2)
Master practical computer applications, especially MS Excel for data manipulation and analysis, and learn presentation tools effectively. Utilize online tutorials and practical assignments to become proficient. This foundational skill will be extensively used in higher semesters for data handling and reporting.
Tools & Resources
Microsoft Office suite, Official Microsoft Learn modules for Excel, YouTube tutorials, LinkedIn Learning
Career Connection
Essential for basic data analysis, reporting, and creating impactful business presentations across all corporate functions.
Cultivate Effective Communication and Teamwork- (Semester 1-2)
Actively participate in group projects and presentations in subjects like Business Communication. Practice clear, concise verbal and written communication. Seek feedback on presentation skills. Engage in college clubs or activities to develop teamwork and leadership qualities, crucial for future collaborative analytical projects.
Tools & Resources
Toastmasters International (if available), College debating societies, LinkedIn for professional networking articles
Career Connection
Analysts need to communicate complex findings to non-technical stakeholders; strong soft skills are vital for career progression and team integration.
Intermediate Stage
Deep Dive into Business Analytics Tools and Programming- (Semester 3)
Beyond classroom learning, dedicate time to self-learn and practice with analytical tools like Python (for data science libraries like Pandas, NumPy, Scikit-learn) or R. Work on small personal projects involving data cleaning, analysis, and visualization. Explore datasets from Kaggle or government portals to apply concepts learned in Data Mining and Data Modelling.
Tools & Resources
Python, R, Jupyter Notebook, Kaggle, DataCamp, Coursera courses, SQL practice platforms
Career Connection
Direct skill application for roles like Data Analyst, Business Intelligence Developer, and a prerequisite for advanced data science positions.
Seek Industry Internships and Live Projects- (Semester 3)
Actively search for and complete internships (even virtual ones) in companies focused on data analytics, business intelligence, or market research. Apply theoretical knowledge to real-world business problems. Engage in live projects offered by faculty or through industry collaborations to gain practical experience and build a professional network.
Tools & Resources
College placement cell, LinkedIn, Internshala, Company career pages, Faculty mentors
Career Connection
Builds practical experience, enhances resume, provides industry exposure, and often leads to pre-placement offers.
Participate in Data Analytics Competitions and Workshops- (Semester 3)
Join hackathons, case study competitions, and workshops focused on business analytics or data science. These provide opportunities to work under pressure, learn new techniques, and showcase problem-solving abilities. Network with peers and industry experts at these events.
Tools & Resources
Analytics Vidhya, HackerEarth, Kaggle competitions, College technical fest events, Industry-sponsored workshops
Career Connection
Develops critical thinking, problem-solving skills, adds valuable experience to resume, and helps in networking for future job prospects.
Advanced Stage
Undertake a Comprehensive Major Project/Dissertation- (Semester 4)
Choose a project topic that aligns with your career interests and applies advanced analytical techniques learned in the specialization. Focus on a real-world business problem, meticulously collecting, analyzing, and interpreting data. Aim for a solution that demonstrates significant business value and analytical depth.
Tools & Resources
Relevant programming languages (Python/R), Visualization tools (Tableau/Power BI), Statistical software (SPSS/SAS), Academic papers, Industry reports
Career Connection
The Major Project serves as a portfolio piece, demonstrating expertise to potential employers and solidifying advanced analytical skills.
Build a Professional Online Presence and Network Strategically- (Semester 4)
Create and maintain a strong LinkedIn profile showcasing skills, projects, certifications, and internships. Actively connect with professionals in the business analytics domain. Attend industry webinars, virtual conferences, and alumni networking events to expand your professional circle and stay updated on industry trends.
Tools & Resources
LinkedIn, Professional networking platforms, Industry association websites, Alumni network portals
Career Connection
Essential for job searching, career growth, mentorship opportunities, and staying informed about industry demands.
Prepare for Placements with Targeted Skill Development- (Semester 4)
Identify target companies and roles. Practice technical interview questions related to SQL, Python, statistics, and business case studies. Refine soft skills for interviews, including communication, problem-solving, and behavioral questions. Seek guidance from career services and alumni for mock interviews and resume reviews.
Tools & Resources
LeetCode, HackerRank (for coding challenges), Glassdoor (for interview experiences), PIMT placement cell, Alumni network
Career Connection
Directly enhances employability, increases chances of securing desired roles and optimizing compensation packages upon graduation.
Program Structure and Curriculum
Eligibility:
- Bachelor''''s Degree in any discipline with 50% marks (45% for SC/ST) or equivalent from a recognized university. Valid score in CMAT/Punjab MBA Entrance Exam/MAT/CAT as per Punjab Government and IKGPTU norms.
Duration: 4 semesters / 2 years
Credits: 100 Credits
Assessment: Internal: 40%, External: 60% (for theory subjects)
Semester-wise Curriculum Table
Semester 1
| Subject Code | Subject Name | Subject Type | Credits | Key Topics |
|---|---|---|---|---|
| MB-101 | Management Process & Organizational Behavior | Core | 4 | Management functions, Organizational behavior concepts, Personality and perception, Motivation theories, Group dynamics and leadership |
| MB-102 | Managerial Economics | Core | 4 | Demand and supply analysis, Production and cost functions, Market structures and pricing strategies, Macroeconomic environment, Business cycles and policies |
| MB-103 | Business Environment & Legal Aspects | Core | 4 | Economic and political environment, Social and technological factors, Competition Act, Consumer Protection Act, Cyber Laws and IPR |
| MB-104 | Accounting for Management | Core | 4 | Financial accounting principles, Cost accounting concepts, Management accounting tools, Financial statement analysis, Budgeting and variance analysis |
| MB-105 | Business Statistics | Core | 4 | Data collection and presentation, Measures of central tendency and dispersion, Probability and probability distributions, Hypothesis testing, Regression and correlation analysis |
| MB-106 | Computer Applications in Management | Core (Practical) | 2 | MS Office for business, Data analysis with Excel, Presentation software, Internet and e-commerce applications, Database management basics |
Semester 2
| Subject Code | Subject Name | Subject Type | Credits | Key Topics |
|---|---|---|---|---|
| MB-201 | Human Resource Management | Core | 4 | HR planning and recruitment, Selection and placement, Training and development, Performance appraisal, Compensation and industrial relations |
| MB-202 | Marketing Management | Core | 4 | Marketing concepts and environment, Market segmentation and targeting, Product and brand management, Pricing strategies, Promotion and distribution channels |
| MB-203 | Financial Management | Core | 4 | Time value of money, Capital budgeting decisions, Working capital management, Cost of capital and capital structure, Dividend policy |
| MB-204 | Research Methodology | Core | 4 | Research design and process, Sampling techniques, Data collection methods, Data analysis and interpretation, Report writing and ethics in research |
| MB-205 | Operations Management | Core | 4 | Production planning and control, Inventory management models, Quality management techniques, Supply chain management, Project management basics |
| MB-206 | Business Communication & Soft Skills | Core (Practical) | 2 | Verbal and non-verbal communication, Presentation skills, Group discussion strategies, Interview techniques, Business correspondence |
Semester 3
| Subject Code | Subject Name | Subject Type | Credits | Key Topics |
|---|---|---|---|---|
| MB-301 | Strategic Management | Core | 4 | Strategic planning process, Environmental analysis (SWOT, PESTEL), Strategy formulation, Strategy implementation, Strategic control and evaluation |
| MB-302 | Entrepreneurship & Project Management | Core | 4 | Entrepreneurial process and traits, Business plan development, Startup ecosystem in India, Project identification and appraisal, Project scheduling and control |
| MBAA-301 | Introduction to Business Analytics | Elective (Business Analytics) | 4 | Fundamentals of business analytics, Data types and sources, Data collection and preparation, Business Intelligence concepts, Introduction to analytical tools |
| MBAA-302 | Business Data Mining & Warehousing | Elective (Business Analytics) | 4 | Data warehousing architecture, OLAP and data cubes, Data mining concepts and techniques, Classification and clustering, Association rule mining |
| MBAA-303 | Data Modelling & Visualization | Elective (Business Analytics) | 4 | Relational data models, SQL for data manipulation, NoSQL databases introduction, Principles of data visualization, Dashboard design and tools (Tableau/Power BI) |
| MBAA-304 | Big Data Technologies | Elective (Business Analytics) | 4 | Introduction to Big Data, Hadoop ecosystem (HDFS, MapReduce), Apache Spark fundamentals, NoSQL databases (Cassandra, MongoDB), Cloud-based big data platforms |
Semester 4
| Subject Code | Subject Name | Subject Type | Credits | Key Topics |
|---|---|---|---|---|
| MB-401 | International Business | Core | 4 | Globalization and its impact, Theories of international trade, Foreign direct investment, International financial markets, Global marketing strategies |
| MB-402 | Corporate Governance & Business Ethics | Core | 4 | Ethical theories in business, Corporate social responsibility, Models of corporate governance, Stakeholder management, Ethical decision-making frameworks |
| MBAA-401 | Web, Social Media & Text Analytics | Elective (Business Analytics) | 4 | Web analytics fundamentals, Social media metrics and KPIs, Text mining techniques, Natural Language Processing basics, Sentiment analysis for business |
| MBAA-402 | Machine Learning for Business | Elective (Business Analytics) | 4 | Supervised learning algorithms, Unsupervised learning techniques, Regression and classification models, Neural networks and deep learning basics, Model evaluation and deployment |
| MBAA-403 | Advanced Business Analytics Applications | Elective (Business Analytics) | 4 | Marketing analytics applications, Financial risk analytics, HR analytics for talent management, Operations and supply chain analytics, Healthcare and retail analytics case studies |
| MB-404 | Major Project | Project | 8 | Problem identification and definition, Literature review and research design, Data collection and analysis, Interpretation of findings, Report writing and presentation |
