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MBA in Business Analytics at Guru Nanak Khalsa Institute of Technology and Management
Yamunanagar, Haryana
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About the Specialization
What is Business Analytics at Guru Nanak Khalsa Institute of Technology and Management Yamunanagar?
This Business Analytics program at Guru Nanak Khalsa Institute of Technology and Management focuses on equipping students with advanced analytical skills to interpret complex business data. It is meticulously designed to meet the escalating demand for data-driven decision-makers across diverse Indian industries, offering a robust blend of theoretical knowledge and practical application using modern analytical tools and methodologies.
Who Should Apply?
This program is ideal for recent graduates from any academic stream seeking entry into the rapidly expanding field of data science and business intelligence in India. It also perfectly suits working professionals looking to upskill or career changers aiming to transition into high-demand data analytics roles, especially those with an inherent aptitude for quantitative analysis and intricate problem-solving.
Why Choose This Course?
Graduates of this program can expect diverse India-specific career paths as Business Analysts, Data Scientists, Marketing Analysts, or Consultants across various sectors. Entry-level salaries typically range from INR 4-7 LPA, with significant growth potential as experience accrues. The program aims to align with relevant professional certifications and foster accelerated growth trajectories within both Indian and multinational companies operating within the country.
Student Success Practices
Foundation Stage
Build a Strong Quantitative and Analytical Base- (Semester 1-2)
Rigorously focus on foundational subjects like Business Statistics and Managerial Economics. Regularly practice problem-solving, engage in peer study groups, and seek clarifications from faculty. A strong grasp of these concepts is crucial for advanced analytics, laying the groundwork for future specialization.
Tools & Resources
Khan Academy, NPTEL courses on Statistics, Previous year question papers, Statistical software tutorials
Career Connection
A solid quantitative foundation is essential for excelling in subsequent analytics courses and forms the backbone for any data analysis role in the industry.
Develop Proficiency in Basic Office Tools & Presentation- (Semester 1-2)
Beyond academic coursework, master Microsoft Excel for effective data organization, manipulation, and basic analysis. Practice creating clear, concise, and impactful presentations using PowerPoint to articulate findings. Actively participate in college-level presentation competitions to hone communication skills.
Tools & Resources
Microsoft Office tutorials, LinkedIn Learning for Excel/PowerPoint, College presentation workshops
Career Connection
These are foundational skills universally expected in almost every entry-level business role, enabling effective communication and initial data handling.
Engage in Early Skill Building Workshops- (Semester 1-2)
Actively participate in introductory workshops or seminars offered by the department or college related to data analytics, programming basics (e.g., introduction to Python), or business intelligence. This provides early exposure, helps identify areas of interest, and builds initial technical comfort.
Tools & Resources
College career development cell workshops, Online introductory courses (Coursera, Udemy free courses), Basic Python/R tutorials
Career Connection
Early exposure can spark specific interests, guide future specialization choices, and build a foundational skill set for successful internships and advanced studies.
Intermediate Stage
Hands-on with Analytics Tools & Projects- (Semester 3)
As Business Analytics specialization commences, intensively practice with Excel for advanced analysis, Tableau for visualization, and Python for predictive modeling. Work on small data projects, participate in college hackathons or online data challenges, and apply learned concepts to real-world datasets.
Tools & Resources
Kaggle, Google Data Analytics Professional Certificate, DataCamp, Tableau Public
Career Connection
Practical proficiency in these industry-standard tools is non-negotiable for analytics roles and forms the core of a compelling data analyst''''s portfolio for internships and placements.
Pursue Meaningful Summer Training and Networking- (Summer after Semester 2)
Maximize your summer training experience by selecting a project directly relevant to Business Analytics. Actively network with industry professionals, alumni, and guest speakers through college events, LinkedIn, and industry webinars. Seek mentorship to gain insights.
Tools & Resources
LinkedIn, Industry-specific events/webinars, College placement cell for internship opportunities, Alumni network
Career Connection
Internships provide invaluable practical experience, often leading to pre-placement offers. Networking opens doors to mentorship, hidden job markets, and future career opportunities.
Focus on Specialization Depth & Electives- (Semester 3)
Deep dive into the core Business Analytics subjects like Predictive Modelling and Data Warehousing. Complement classroom learning with external courses or certifications in areas of specific interest within analytics (e.g., machine learning basics, cloud analytics platforms like AWS/Azure).
Tools & Resources
NPTEL advanced analytics courses, Udemy/Coursera specialization tracks, Relevant online certifications from industry bodies
Career Connection
Building specialized expertise makes you a more attractive and competitive candidate for specific analytics roles and helps in carving out a niche within the vast analytics landscape.
Advanced Stage
Undertake a Comprehensive Research Project- (Semester 4)
Leverage the final semester research project to apply all acquired analytics skills to solve a complex, real-world business problem. Aim for a project that showcases advanced data handling, robust modeling, and impactful visualization techniques, making it a strong addition to your professional portfolio.
Tools & Resources
All learned analytics tools (Python, Tableau, Power BI), Academic journals, Industry reports, Mentorship from faculty
Career Connection
A strong research project demonstrates independent problem-solving capabilities, critical thinking, and can be a major talking point in job interviews, significantly enhancing placement prospects.
Intensive Placement Preparation & Mock Interviews- (Semester 4)
Begin rigorous preparation for campus placements, focusing on analytical aptitude, logical reasoning, and communication skills. Participate actively in mock interviews, group discussions, and resume-building workshops organized by the college placement cell to refine your presentation.
Tools & Resources
College placement cell resources, Online aptitude test platforms, Interview preparation websites (e.g., Glassdoor, InterviewBit), Company-specific preparation guides
Career Connection
Dedicated and targeted preparation is critical for converting job interviews into offers and securing desired placements in reputable companies within the Indian job market.
Build a Professional Analytics Portfolio- (Semester 3-4 (Ongoing))
Curate all significant projects, assignments, and internship experiences into a well-organized online portfolio (e.g., GitHub repository, personal website, Tableau Public profile). This visual showcase demonstrates practical skills and achievements to potential employers, including code, visualizations, and project reports.
Tools & Resources
GitHub, LinkedIn profile with project links, Personal website builders (e.g., WordPress, Google Sites), Tableau Public
Career Connection
A compelling and well-maintained portfolio is often the distinguishing factor for analytics roles, unequivocally demonstrating your capability to deliver real-world, data-driven solutions.
Program Structure and Curriculum
Eligibility:
- Graduation in any stream with 50% marks (45% for SC/ST) from any recognized University and MAT/CMAT/AIMA or entrance test by state govt.
Duration: 2 years (4 semesters)
Credits: 98 Credits
Assessment: Internal: 50%, External: 50%
Semester-wise Curriculum Table
Semester 1
| Subject Code | Subject Name | Subject Type | Credits | Key Topics |
|---|---|---|---|---|
| 22MBA101 | Management Process and Organizational Behavior | Core | 4 | Introduction to Management, Planning, Organizing, Directing, Controlling, Foundations of Organizational Behavior, Individual Behavior and Perception, Group Dynamics, Motivation, Leadership |
| 22MBA102 | Managerial Economics | Core | 4 | Introduction to Managerial Economics, Demand Analysis and Forecasting, Production and Cost Analysis, Market Structure and Pricing Strategies, Profit Management, Capital Budgeting |
| 22MBA103 | Accounting for Managers | Core | 4 | Introduction to Financial Accounting, Preparation of Financial Statements, Cost Accounting Concepts, Budgetary Control and Variance Analysis, Marginal Costing and Decision Making |
| 22MBA104 | Business Environment & Law | Core | 4 | Components of Business Environment, Economic and Political-Legal Environment, Social-Cultural and Technological Environment, Indian Contract Act 1872, Sale of Goods Act 1930, Consumer Protection Act 2019 |
| 22MBA105 | Business Statistics | Core | 4 | Introduction to Statistics and Data Presentation, Measures of Central Tendency and Dispersion, Probability and Probability Distributions, Sampling and Estimation, Hypothesis Testing, Correlation and Regression |
Semester 2
| Subject Code | Subject Name | Subject Type | Credits | Key Topics |
|---|---|---|---|---|
| 22MBA201 | Human Resource Management | Core | 4 | Introduction to HRM, Human Resource Planning and Job Analysis, Recruitment, Selection and Placement, Training & Development, Performance Management, Compensation Management, Industrial Relations |
| 22MBA202 | Marketing Management | Core | 4 | Introduction to Marketing, Marketing Environment and Consumer Behavior, Market Segmentation, Targeting, Positioning, Product Decisions, Pricing Strategies, Promotion and Distribution Channels |
| 22MBA203 | Financial Management | Core | 4 | Introduction to Financial Management, Time Value of Money, Capital Budgeting Decisions, Cost of Capital, Capital Structure, Working Capital Management, Dividend Policy |
| 22MBA204 | Operations & Supply Chain Management | Core | 4 | Introduction to Operations Management, Production Planning and Control, Inventory Management, Quality Management, Introduction to Supply Chain Management, Logistics and Warehousing |
| 22MBA205 | Research Methodology | Core | 4 | Introduction to Business Research, Research Design and Hypothesis Formulation, Sampling Design and Data Collection Methods, Data Analysis Techniques, Report Writing and Presentation |
Semester 3
| Subject Code | Subject Name | Subject Type | Credits | Key Topics |
|---|---|---|---|---|
| 22MBA301 | Strategic Management | Core | 4 | Introduction to Strategic Management, Environmental Scanning and Industry Analysis, Strategy Formulation: Corporate, Business, Functional, Strategy Implementation and Evaluation, Strategic Control |
| 22MBA302 | Summer Training Report | Project/Practical | 2 | Practical exposure in a business organization, Identification of a business problem, Data collection and analysis, Report writing and recommendations |
| 22MBA303 | Viva-Voce (Summer Training) | Assessment | 2 | Oral presentation of summer training report, Defense of findings and methodology, Demonstration of understanding and insights |
| 22MBA304 | Entrepreneurship Development | Core | 4 | Concept and Role of Entrepreneurship, Entrepreneurial Process and Creativity, Business Plan Formulation, Sources of Finance for New Ventures, Legal and Regulatory Framework for Startups |
| 22MBA30BA1 | Data Analytics using Excel and Tableau | Elective (Business Analytics) | 4 | Advanced Excel for Data Analysis, Data Cleaning and Preparation in Excel, Introduction to Tableau Desktop, Data Visualization with Tableau, Creating Dashboards and Storytelling |
| 22MBA30BA2 | Predictive Modelling using Python | Elective (Business Analytics) | 4 | Introduction to Python for Data Science, Data Manipulation with Pandas, Statistical Modeling and Hypothesis Testing, Regression and Classification Techniques, Model Evaluation and Validation |
Semester 4
| Subject Code | Subject Name | Subject Type | Credits | Key Topics |
|---|---|---|---|---|
| 22MBA401 | Management Information System | Core | 4 | Introduction to MIS and its Role, Information Systems for Business Operations, Database Management Systems, Decision Support Systems and Expert Systems, E-commerce and IT Security Management |
| 22MBA402 | Business Ethics and Corporate Governance | Core | 4 | Concepts of Business Ethics, Ethical Dilemmas in Business, Corporate Social Responsibility, Principles of Corporate Governance, Role of Board of Directors and Stakeholder Management |
| 22MBA403 | Research Project | Project | 4 | Identification of a research problem, Extensive literature review, Development of research design and methodology, Data collection, analysis, and interpretation, Preparation of detailed project report |
| 22MBA404 | Viva-Voce (Research Project) | Assessment | 2 | Oral presentation of the research project, Defense of the research methodology and findings, Demonstration of comprehensive understanding |
| 22MBA40BA1 | Data Warehousing and Data Mining | Elective (Business Analytics) | 4 | Introduction to Data Warehousing, Data Marts and OLAP, Data Mining Concepts and Techniques, Association Rule Mining, Classification Algorithms, Clustering Analysis, Text Mining |
| 22MBA40BA2 | Big Data and Cloud Analytics | Elective (Business Analytics) | 4 | Introduction to Big Data Concepts, Hadoop Ecosystem (HDFS, MapReduce), Apache Spark for Big Data Processing, Cloud Computing for Analytics (AWS/Azure basics), Data Lakes and Cloud Data Warehouses |
| 22MBA40BA3 | Data Visualization with Power BI | Elective (Business Analytics) | 4 | Introduction to Microsoft Power BI, Data Import and Transformation (Power Query), Data Modeling and DAX Functions, Creating Interactive Reports and Dashboards, Publishing and Sharing Power BI Content |
