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MBA in Business Analytics at Universal Institute of Engineering & Technology
Mohali, Punjab
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About the Specialization
What is Business Analytics at Universal Institute of Engineering & Technology Mohali?
This Business Analytics program at Universal Institute of Engineering & Technology focuses on equipping students with advanced analytical skills to interpret complex data and drive strategic business decisions. In the dynamic Indian market, where data-driven insights are paramount for competitive advantage, this specialization offers a robust curriculum covering statistical modeling, machine learning, and data visualization tools, preparing graduates for high-demand roles.
Who Should Apply?
This program is ideal for analytically inclined fresh graduates from diverse backgrounds seeking entry into the burgeoning field of data science and business intelligence. It also caters to working professionals aiming to upskill in data analytics or career changers transitioning into data-centric roles in industries like finance, retail, and healthcare. A strong foundational understanding of mathematics or statistics is beneficial.
Why Choose This Course?
Graduates of this program can expect to pursue rewarding India-specific career paths as Business Analysts, Data Scientists, Management Consultants, or Predictive Modelers. Entry-level salaries typically range from INR 4-7 lakhs per annum, with experienced professionals commanding significantly higher packages. The program fosters critical thinking and problem-solving, aligning with the growing need for data literacy across Indian companies for sustainable growth.
Student Success Practices
Foundation Stage
Master Core Management & Analytical Fundamentals- (Semester 1-2)
Focus rigorously on understanding the foundational concepts in management (e.g., HRM, Marketing, Finance) and analytical tools (Business Statistics, Operations Research). Dedicate time to practice quantitative techniques using Excel and statistical software like SPSS or R, building a strong base for advanced analytics.
Tools & Resources
Excel, SPSS, R, Financial calculators, Management case studies
Career Connection
A solid grasp of core business principles combined with basic analytics is crucial for interpreting data in a business context, forming the backbone for future data-driven decision-making roles.
Develop Strong Communication & Presentation Skills- (Semester 1-2)
Actively participate in class discussions, group projects, and presentations. Join Toastmasters-like clubs or college societies to refine public speaking and written communication. Practice articulating complex ideas clearly and concisely, which is vital for presenting analytical insights to non-technical stakeholders.
Tools & Resources
PowerPoint, Google Slides, Professional communication workshops, Peer feedback
Career Connection
Effective communication bridges the gap between technical analysis and business strategy, making graduates invaluable in roles requiring interaction with senior management and clients.
Engage in Early Industry Awareness & Networking- (Semester 1-2)
Attend webinars, industry talks, and guest lectures by professionals in business analytics. Follow industry trends and connect with alumni or professionals on platforms like LinkedIn. This helps in understanding real-world applications of analytical concepts and identifying potential career paths.
Tools & Resources
LinkedIn, Industry-specific blogs, Professional association events
Career Connection
Early networking can open doors to mentorship, internships, and provides insights into industry expectations, enhancing career planning and placement opportunities.
Intermediate Stage
Deep Dive into Business Analytics Tools & Techniques- (Semester 3-4)
Focus intensely on the Business Analytics specialization electives. Master specific tools and programming languages like Python (with libraries like Pandas, NumPy, Scikit-learn) or R for statistical modeling and machine learning. Work on mini-projects to apply these techniques to real datasets.
Tools & Resources
Python (Anaconda, Jupyter Notebook), RStudio, SQL, Kaggle datasets, Coursera/edX courses
Career Connection
Proficiency in industry-standard analytics tools and techniques is a direct requirement for roles like Data Analyst, Business Intelligence Developer, and Junior Data Scientist.
Undertake Industry Internships & Live Projects- (Semester 3-4)
Actively seek and participate in internships, even short-term ones, with companies using business analytics. Engage in live projects or case competitions to apply theoretical knowledge in a practical setting. This provides invaluable hands-on experience and builds a professional portfolio.
Tools & Resources
College placement cell, Internship portals (Internshala, LinkedIn), Company websites
Career Connection
Internships are often a direct pathway to full-time employment and provide practical experience that makes a resume stand out in the competitive Indian job market.
Build a Strong Data Portfolio & Case Study Repository- (Semester 3-4)
Document all projects, assignments, and case studies related to business analytics. Create a portfolio showcasing your skills in data cleaning, analysis, visualization, and model building. Prepare detailed explanations of your methodologies and results to discuss in interviews.
Tools & Resources
GitHub, Personal website/blog, Tableau Public, Power BI, Google Data Studio
Career Connection
A well-structured portfolio demonstrates practical skills and problem-solving abilities to potential employers, significantly boosting interview success and securing relevant placements.
Advanced Stage
Focus on Dissertation/Major Project for Specialization- (Semester 4)
Dedicate significant effort to the MBA 402 Project Study. Choose a topic that deeply aligns with Business Analytics, allowing for a comprehensive application of learned skills. This project should be a capstone experience, demonstrating independent research, analytical rigor, and practical problem-solving.
Tools & Resources
Academic supervisors, Research databases, Advanced statistical software, Industry reports
Career Connection
A well-executed dissertation/project provides a substantial talking point in interviews, showcases expertise in a specific analytics domain, and can lead to industry recognition or publication.
Intensive Placement Preparation & Mock Interviews- (Semester 4)
Actively participate in campus placement drives. Prepare for technical interviews focusing on data structures, algorithms (if applicable for some roles), SQL, Python/R, and case study solving. Practice HR interviews, focusing on behavioral questions and demonstrating business acumen.
Tools & Resources
Placement cell resources, Online coding platforms (e.g., HackerRank for analytical tests), Mock interview sessions, Company-specific interview guides
Career Connection
Targeted preparation is critical for converting interviews into job offers, ensuring successful entry into the desired roles in the competitive analytics industry.
Continuous Learning and Certification Pursuit- (Semester 4 & Post-Graduation)
Beyond the core curriculum, pursue relevant online certifications in areas like Cloud Analytics (AWS, Azure, GCP), Data Visualization (Tableau, Power BI), or specialized machine learning. Stay updated with emerging technologies and industry best practices in Business Analytics.
Tools & Resources
LinkedIn Learning, Udemy, Google Analytics Academy, Microsoft Certified: Azure Data Scientist Associate, Tableau certifications
Career Connection
Continuous learning and professional certifications demonstrate initiative and specialized expertise, enhancing employability and career progression in a rapidly evolving tech landscape.
Program Structure and Curriculum
Eligibility:
- Bachelors’ Degree of minimum 3 years duration in any discipline from a recognized University
Duration: 2 years (4 semesters)
Credits: 104 Credits
Assessment: Internal: 40%, External: 60%
Semester-wise Curriculum Table
Semester 1
| Subject Code | Subject Name | Subject Type | Credits | Key Topics |
|---|---|---|---|---|
| MBA 101 | Principles and Practices of Management | Core | 4 | Management Concepts, Planning and Decision Making, Organizing and Staffing, Directing and Controlling, Emerging Management Issues |
| MBA 102 | Organisational Behaviour | Core | 4 | Foundations of OB, Individual Behaviour (Perception, Attitudes, Personality), Motivation Theories, Group Dynamics and Team Building, Leadership and Conflict Management |
| MBA 103 | Managerial Economics | Core | 4 | Demand Analysis and Forecasting, Production and Cost Analysis, Market Structures and Pricing Strategies, Macroeconomic Environment, Business Cycles and Policies |
| MBA 104 | Business Environment | Core | 4 | Economic Environment, Political and Legal Environment, Socio-Cultural Environment, Technological Environment, Global Business Environment and Ethics |
| MBA 105 | Accounting for Management | Core | 4 | Financial Accounting Principles, Cost Accounting Concepts, Management Accounting Tools, Financial Statement Analysis, Budgeting and Control |
| MBA 106 | Business Statistics | Core | 4 | Data Collection and Presentation, Measures of Central Tendency and Dispersion, Probability and Probability Distributions, Sampling and Estimation, Hypothesis Testing, Regression and Correlation |
| MBA 107 | Computer Applications in Management | Core | 4 | IT Fundamentals and Software Concepts, MS Office Applications (Word, Excel, PowerPoint), Internet and E-commerce, Database Management Systems, Emerging IT Trends |
| MBA 108 | Business Communication | Core | 4 | Communication Process and Barriers, Verbal and Non-verbal Communication, Written Communication (Reports, Memos), Oral Communication (Presentations, GDs), Interview Skills and Etiquette |
Semester 2
| Subject Code | Subject Name | Subject Type | Credits | Key Topics |
|---|---|---|---|---|
| MBA 201 | Human Resource Management | Core | 4 | HR Planning and Job Analysis, Recruitment and Selection, Training and Development, Performance Management and Compensation, Industrial Relations and Employee Welfare |
| MBA 202 | Marketing Management | Core | 4 | Marketing Concepts and Environment, Consumer and Industrial Buyer Behavior, Market Segmentation, Targeting, Positioning, Product, Pricing, Promotion Strategies, Distribution Channels and Marketing Research |
| MBA 203 | Financial Management | Core | 4 | Goals of Financial Management, Capital Budgeting Decisions, Working Capital Management, Cost of Capital and Capital Structure, Dividend Policy and Corporate Restructuring |
| MBA 204 | Production & Operations Management | Core | 4 | Operations Strategy and Productivity, Facility Location and Layout, Production Planning and Control, Inventory Management, Quality Management and Supply Chain Management |
| MBA 205 | Research Methodology | Core | 4 | Research Design and Problem Formulation, Data Collection Methods, Sampling Techniques and Scaling, Data Analysis and Interpretation, Report Writing and Ethics in Research |
| MBA 206 | Business Law | Core | 4 | Indian Contract Act, Sale of Goods Act, Negotiable Instruments Act, Companies Act, Consumer Protection Act and Cyber Laws |
| MBA 207 | Operations Research | Core | 4 | Linear Programming, Transportation and Assignment Problems, Queuing Theory, Network Analysis (PERT/CPM), Decision Theory and Game Theory |
| MBA 208 | Total Quality Management | Core | 4 | TQM Principles and Concepts, Quality Gurus and Philosophies, Quality Costs and Tools, ISO Standards and Certification, Six Sigma, Lean Manufacturing, Quality Circles |
Semester 3
| Subject Code | Subject Name | Subject Type | Credits | Key Topics |
|---|---|---|---|---|
| MBA 301 | Strategic Management | Core | 4 | Concepts of Strategic Management, Environmental Scanning and Industry Analysis, Strategy Formulation (Corporate, Business, Functional), Strategy Implementation and Control, Corporate Governance and Social Responsibility |
| MBA 302 | Entrepreneurship Development | Core | 4 | Entrepreneurial Process and Characteristics, Opportunity Identification and Business Idea Generation, Business Plan Preparation, Funding Sources and Legal Aspects, MSME Policies and Innovation Management |
| MBA 303 | International Business | Core | 4 | Globalization and International Trade Theories, Balance of Payments and Foreign Exchange, International Marketing and Finance, Global HR Management, Cross-Cultural Management and Ethics |
| MBA 309 | Business Analytics – I | Elective (Business Analytics Specialization) | 4 | Introduction to Business Analytics, Data Mining Concepts and Techniques, Predictive and Prescriptive Analytics, Big Data Fundamentals and Applications, Data Visualization Tools and Best Practices |
| MBA 310 | Business Analytics – II | Elective (Business Analytics Specialization) | 4 | Statistical Modeling for Business, Regression Analysis and its Applications, Classification Techniques (Logistic Regression, SVM), Forecasting Methods for Business, Optimization and Decision Trees, Machine Learning Basics |
Semester 4
| Subject Code | Subject Name | Subject Type | Credits | Key Topics |
|---|---|---|---|---|
| MBA 401 | Ethics, Corporate Governance and CSR | Core | 4 | Business Ethics and Values, Corporate Governance Models and Practices, Role of Board and Stakeholder Management, Corporate Social Responsibility (CSR) Principles, Sustainability Reporting and Ethical Dilemmas |
| MBA 402 | Project Study & Viva Voce | Project | 8 | Research Problem Identification, Data Collection and Analysis, Interpretation of Results and Findings, Project Report Writing, Presentation and Viva Voce |
| MBA 406 | Business Analytics – III | Elective (Business Analytics Specialization) | 4 | Text Analytics and Natural Language Processing, Social Media and Web Analytics, Market Basket Analysis, Customer Relationship Management (CRM) Analytics, Risk Analytics and Fraud Detection |
| MBA 407 | Business Analytics – IV | Elective (Business Analytics Specialization) | 4 | Data Warehousing and Data Lakes, Business Intelligence Tools and Dashboards, Cloud Analytics Platforms, Ethical and Privacy Issues in Analytics, Implementation of Analytics Solutions in Enterprise |
