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MBA in Business Analytics at Apeejay Institute of Management & Engineering Technical Campus
Jalandhar, Punjab
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About the Specialization
What is Business Analytics at Apeejay Institute of Management & Engineering Technical Campus Jalandhar?
This Business Analytics MBA program at Apeejay Institute of Management & Engineering Technical Campus focuses on equipping students with advanced analytical skills to interpret complex data, drive strategic decisions, and solve real-world business challenges. It is highly relevant in the Indian industry, where data-driven insights are crucial for competitive advantage. The program differentiates itself by combining core management principles with specialized analytics tools and techniques.
Who Should Apply?
This program is ideal for fresh graduates seeking entry into the rapidly growing data science and analytics domain in India. It also serves working professionals looking to upskill their analytical capabilities or career changers transitioning into data-intensive roles across sectors like finance, retail, and IT. A strong aptitude for quantitative analysis and problem-solving is a valuable prerequisite for success in this demanding field.
Why Choose This Course?
Graduates of this program can expect to pursue lucrative India-specific career paths such as Business Analyst, Data Scientist, Market Research Analyst, or Consultant in various Indian companies and MNCs. Entry-level salaries typically range from INR 4-7 LPA, with experienced professionals earning upwards of INR 15-25 LPA. The program aligns with industry demands, offering strong growth trajectories in an increasingly data-centric economy.
Student Success Practices
Foundation Stage
Strengthen Core Business Fundamentals- (Semester 1-2)
Dedicate time to thoroughly understand core MBA subjects like Marketing, Finance, and Operations, as these provide the crucial business context for analytics. Actively participate in class discussions and solve case studies to apply theoretical knowledge.
Tools & Resources
Textbooks, Harvard Business Review cases, Peer study groups
Career Connection
A strong foundation in business functions is essential for interpreting analytical results meaningfully and proposing actionable business recommendations, which is highly valued by employers in India.
Build Foundational Data Skills Early- (Semester 1-2)
Beyond classroom learning, actively practice basic data analysis using tools like MS Excel for data cleaning, manipulation, and simple visualization. Explore introductory online courses on Python or R to gain a head start in programming for analytics.
Tools & Resources
Excel, Coursera/edX introductory Python/R courses, Kaggle for basic datasets
Career Connection
Early proficiency in data handling and basic programming languages significantly boosts confidence and prepares you for advanced specialized subjects, making you more attractive to recruiters.
Network and Seek Mentorship- (Semester 1-2)
Attend industry webinars, guest lectures, and alumni events hosted by the institution. Connect with seniors, faculty, and industry professionals to understand career paths, challenges, and opportunities in business analytics in India.
Tools & Resources
LinkedIn, College alumni network events, Industry association meetups
Career Connection
Networking opens doors to internship opportunities, mentorship, and insights into industry trends, which are invaluable for navigating the competitive Indian job market.
Intermediate Stage
Master Analytical Tools and Techniques- (Semester 3)
Focus intently on hands-on practice with specialized tools like R, Python, and SQL. Work on diverse datasets and implement various data mining, predictive modeling, and machine learning algorithms learned in class. Engage in mini-projects to solidify understanding.
Tools & Resources
RStudio, Anaconda (for Python), Jupyter Notebooks, MySQL/PostgreSQL, Kaggle competitions
Career Connection
Practical mastery of these tools is non-negotiable for analytics roles. Employers prioritize candidates who can demonstrate concrete project experience and technical proficiency.
Seek Industry Internships and Live Projects- (Semester 3)
Actively apply for internships with analytics teams in Indian companies or start-ups. If internships are unavailable, pursue live projects or virtual internships to gain practical exposure. Focus on applying theoretical knowledge to solve real business problems.
Tools & Resources
College placement cell, Internshala, Naukri.com, Industry contacts
Career Connection
Internships provide invaluable real-world experience, build your professional network, and often lead to pre-placement offers, significantly enhancing your employability in India.
Develop Data Storytelling and Visualization Skills- (Semester 3)
Beyond analysis, learn to effectively communicate insights through compelling data visualizations and reports. Practice using tools like Tableau or Power BI to create interactive dashboards and presentations. Participate in data visualization challenges.
Tools & Resources
Tableau Public, Microsoft Power BI Desktop, Storytelling with Data by Cole Nussbaumer Knaflic
Career Connection
The ability to translate complex data into clear, actionable business insights is a critical skill for any Business Analyst, enabling you to influence decision-makers and stand out in the Indian corporate landscape.
Advanced Stage
Undertake a Capstone Project/Dissertation with Impact- (Semester 4)
Choose a dissertation topic that addresses a significant business problem and allows you to apply a comprehensive range of analytics techniques. Focus on delivering measurable business value and clearly articulating your methodology and findings.
Tools & Resources
Academic supervisors, Industry mentors, Advanced analytics software
Career Connection
A strong capstone project serves as a powerful portfolio piece, showcasing your problem-solving abilities and technical expertise to potential employers during final placements.
Prepare Rigorously for Placements- (Semester 4)
Engage in mock interviews, aptitude tests, and group discussions focusing on quantitative reasoning, case analysis, and behavioral questions. Tailor your resume and cover letters to specific analytics roles and companies in India.
Tools & Resources
Placement cell workshops, Online aptitude test platforms, Interview preparation guides
Career Connection
Thorough preparation is key to navigating the competitive final placement season in Indian business schools, helping you secure your desired role in the analytics industry.
Stay Updated with Industry Trends and Certifications- (Semester 4)
Continuously monitor emerging technologies, frameworks, and trends in business analytics and AI. Consider pursuing relevant professional certifications (e.g., in cloud analytics, specific tools) to enhance your credentials and stay competitive.
Tools & Resources
Online tech blogs (Analytics Vidhya), Industry reports, Coursera/edX advanced specializations
Career Connection
The analytics field evolves rapidly. Staying updated and acquiring advanced certifications demonstrates proactive learning and a commitment to continuous growth, making you a valuable asset in the long term.
Program Structure and Curriculum
Eligibility:
- Bachelor’s Degree of minimum 3 years duration in any discipline from a recognized University or Institution with an aggregate of 50% marks (45% for SC/ST candidates) and having valid score of CAT/MAT/CMAT/XAT/GMAT or CET-MBA conducted by PTU, Jalandhar or other equivalent state entrance examination. In case candidate has not appeared in any of the above exams, they must appear in the university entrance exam.
Duration: 4 semesters / 2 years
Credits: 102 Credits
Assessment: Internal: 40%, External: 60%
Semester-wise Curriculum Table
Semester 1
| Subject Code | Subject Name | Subject Type | Credits | Key Topics |
|---|---|---|---|---|
| MBA101-18 | Principles & Practices of Management | Core | 3 | Introduction to Management, Planning, Organizing, Staffing, Directing and Controlling, Ethics and Social Responsibility |
| MBA103-18 | Organizational Behavior | Core | 3 | Introduction to OB, Perception and Individual Decision Making, Motivation, Group Dynamics and Team Building, Leadership, Conflict and Change Management |
| MBA105-18 | Managerial Economics | Core | 3 | Introduction to Managerial Economics, Demand and Supply Analysis, Production and Cost Analysis, Market Structure and Pricing Strategies, Profit Management, Capital Budgeting |
| MBA107-18 | Accounting for Management | Core | 3 | Introduction to Financial Accounting, Accounting Process, Final Accounts, Cost Accounting, Budgetary Control, Financial Statement Analysis |
| MBA109-18 | Business Environment | Core | 3 | Introduction to Business Environment, Economic Environment, Political and Legal Environment, Socio-Cultural Environment, Technological Environment, Global Environment |
| MBA111-18 | Business Statistics | Core | 3 | Introduction to Statistics, Probability and Probability Distributions, Sampling and Sampling Distributions, Hypothesis Testing, Correlation and Regression Analysis, Time Series Analysis |
| MBA113-18 | Research Methodology | Core | 3 | Introduction to Research, Research Design, Sampling Design, Data Collection Methods, Data Analysis and Interpretation, Report Writing |
| MBA115-18 | Communication for Management | Core | 3 | Fundamentals of Communication, Types of Communication, Business Correspondence, Presentation Skills, Interpersonal Communication, Non-Verbal Communication |
| MBA117-18 | Computer Applications in Management | Core | 3 | Introduction to Computers, Operating Systems, MS Office Applications (Word, Excel, PowerPoint), Database Management Systems, Internet and E-Commerce, Data Security |
Semester 2
| Subject Code | Subject Name | Subject Type | Credits | Key Topics |
|---|---|---|---|---|
| MBA201-18 | Business Law | Core | 3 | Indian Contract Act, 1872, Sale of Goods Act, 1930, Negotiable Instruments Act, 1881, Companies Act, 2013, Consumer Protection Act, 2019, Intellectual Property Rights |
| MBA203-18 | Marketing Management | Core | 3 | Introduction to Marketing, Market Segmentation, Targeting, Positioning, Product Management, Pricing Strategies, Promotion Decisions, Distribution Channels |
| MBA205-18 | Financial Management | Core | 3 | Introduction to Financial Management, Sources of Finance, Capital Budgeting Decisions, Working Capital Management, Cost of Capital, Dividend Policy |
| MBA207-18 | Human Resource Management | Core | 3 | Introduction to HRM, Human Resource Planning, Recruitment and Selection, Training and Development, Performance Appraisal, Compensation Management |
| MBA209-18 | Operations & Supply Chain Management | Core | 3 | Introduction to Operations Management, Process Design and Layout, Inventory Management, Supply Chain Management, Logistics Management, Quality Management |
| MBA211-18 | Operations Research | Core | 3 | Introduction to Operations Research, Linear Programming, Transportation and Assignment Problems, Queuing Theory, Decision Theory, Network Analysis (PERT/CPM) |
| MBA213-18 | Indian Economy & Policy | Core | 3 | Overview of Indian Economy, Agriculture Sector, Industrial Sector, Service Sector, Economic Reforms and Policy, Poverty, Inequality, and Unemployment |
| MBA215-18 | Entrepreneurship | Core | 3 | Introduction to Entrepreneurship, The Entrepreneurial Process, Business Plan Development, Sources of Finance for Start-ups, Legal Aspects of Entrepreneurship, Government Support for SMEs in India |
| MBA217-18 | Soft Skills & Business Communication | Core | 3 | Personal Grooming and Etiquette, Self-Management and Stress Management, Teamwork and Leadership Skills, Interview Skills, Negotiation Skills, Conflict Resolution |
Semester 3
| Subject Code | Subject Name | Subject Type | Credits | Key Topics |
|---|---|---|---|---|
| MBA301-18 | Corporate Strategy | Core | 3 | Introduction to Strategic Management, Environmental Scanning, Strategy Formulation, Strategy Implementation, Strategic Evaluation and Control, Corporate Governance and Ethics |
| MBA303-18 | International Business Management | Core | 3 | Introduction to International Business, Theories of International Trade, Global Environment, Foreign Direct Investment, International Monetary System, Global Marketing and HR |
| MBA305-18 | Project Management | Core | 3 | Introduction to Project Management, Project Life Cycle, Project Planning and Scheduling (PERT/CPM), Project Costing and Budgeting, Project Risk Management, Project Quality and Closure |
| MBA BA301-18 | Fundamentals of Business Analytics | Specialization Elective | 3 | Introduction to Business Analytics, Data Analytics Life Cycle, Descriptive Analytics, Predictive Analytics, Prescriptive Analytics, Big Data Concepts |
| MBA BA303-18 | Data Mining & Warehousing | Specialization Elective | 3 | Introduction to Data Mining, Data Preprocessing, Data Warehousing Concepts, OLAP Operations, Classification Techniques, Clustering Techniques |
| MBA BA305-18 | Predictive Modeling | Specialization Elective | 3 | Introduction to Predictive Modeling, Linear Regression, Logistic Regression, Time Series Forecasting, Decision Trees, Model Evaluation and Validation |
| MBA BA307-18 | R-Programming for Business Analytics (Lab) | Specialization Elective (Lab) | 3 | Introduction to R and RStudio, Data Structures in R, Data Import and Export, Data Manipulation with Dplyr, Statistical Analysis in R, Basic Data Visualization with ggplot2 |
Semester 4
| Subject Code | Subject Name | Subject Type | Credits | Key Topics |
|---|---|---|---|---|
| MBA401-18 | Ethics & Corporate Governance | Core | 3 | Introduction to Business Ethics, Ethical Decision Making, Introduction to Corporate Governance, Boards of Directors, Stakeholder Theory, CSR and Sustainability |
| MBA BA401-18 | Big Data Analytics | Specialization Elective | 3 | Introduction to Big Data, Hadoop Ecosystem, MapReduce Framework, NoSQL Databases, Spark Basics, Big Data Applications |
| MBA BA403-18 | Business Intelligence | Specialization Elective | 3 | Introduction to Business Intelligence, Data Integration and ETL, Reporting and Querying Tools, Dashboards and Scorecards, OLAP vs OLTP, BI Architectures |
| MBA BA405-18 | Data Visualization & Reporting | Specialization Elective | 3 | Principles of Data Visualization, Types of Charts and Graphs, Effective Storytelling with Data, Dashboard Design, Reporting Best Practices, Introduction to Visualization Tools (e.g., Tableau, Power BI) |
| MBA BA407-18 | Machine Learning for Business Analytics (Lab) | Specialization Elective (Lab) | 3 | Introduction to Machine Learning, Supervised Learning (Regression, Classification), Unsupervised Learning (Clustering), Model Training and Evaluation, Feature Engineering, Machine Learning Algorithms in Python/R |
| MBA409-18 | Industry Project / Dissertation | Project | 12 | Problem Identification, Literature Review, Research Design and Methodology, Data Collection and Analysis, Findings and Discussion, Report Writing and Presentation |
