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MBA in Business Analytics at Invertis University
Bareilly, Uttar Pradesh
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About the Specialization
What is Business Analytics at Invertis University Bareilly?
This Business Analytics program at Invertis University focuses on equipping students with advanced analytical skills, statistical modeling techniques, and data-driven decision-making capabilities. In the rapidly evolving Indian industry, where data is paramount, this specialization is designed to bridge the gap between business strategy and analytical insights, preparing professionals for high-demand roles. The program differentiates itself by integrating theoretical knowledge with practical applications relevant to the Indian market landscape.
Who Should Apply?
This program is ideal for fresh graduates from any discipline seeking entry into data-intensive roles within finance, marketing, operations, or IT sectors in India. It also caters to working professionals aiming to upskill in analytics or transition their careers towards data science and business intelligence. Individuals with a strong aptitude for numbers, logical reasoning, and an interest in solving complex business problems using data will find this specialization particularly rewarding.
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 Analyst, or Operations Analyst in various Indian and multinational companies. Entry-level salaries typically range from INR 4-7 lakhs per annum, with experienced professionals potentially earning INR 10-20 lakhs or more. The program also aligns with foundational knowledge required for certifications like Tableau, Power BI, or Data Science courses.
Student Success Practices
Foundation Stage
Master Foundational Business & Quant Skills- (Semester 1-2)
Dedicate significant effort to understanding core management concepts (accounting, finance, marketing) and quantitative techniques. Regularly practice problems from subjects like Quantitative Techniques for Management and Accounting for Management to build a strong analytical base crucial for future analytics courses.
Tools & Resources
Online tutorials (e.g., Khan Academy for statistics/economics), Textbook exercises, Peer study groups, University''''s quantitative labs
Career Connection
A solid foundation in business and quantitative methods is essential for interpreting analytical results in a business context, making graduates more effective as business analysts.
Develop Strong Communication & Software Proficiency- (Semester 1-2)
Actively participate in Business Communication classes and focus on developing compelling presentation and report writing skills. Simultaneously, gain hands-on proficiency in common business software by regularly using spreadsheet tools (like Microsoft Excel) and presentation software, which are fundamental for data handling and reporting.
Tools & Resources
LinkedIn Learning for Excel/PowerPoint, University''''s computer labs, Participating in debates or public speaking events
Career Connection
Effective communication of data insights and proficiency in standard office tools are critical soft skills highly valued in Indian workplaces for analysts.
Engage in Early Industry Exposure- (Semester 1-2)
Seek out opportunities for mini-projects, workshops, or industry visits organized by the university or departmental clubs. This early exposure helps connect theoretical knowledge with practical business scenarios, particularly in understanding how data is used in various functions.
Tools & Resources
Departmental industry interaction cells, Alumni network, Local business events, Online industry webinars
Career Connection
Provides a clearer understanding of potential career paths and helps in tailoring skills development towards industry requirements, aiding in future internship and placement choices.
Intermediate Stage
Hands-on Data Analytics Tool Mastery- (Semester 3)
Deep dive into practical applications of data mining, machine learning, and basic statistical software. Work on mini-projects using real datasets, practicing data cleaning, analysis, and visualization techniques taught in specialized subjects like Foundations of Business Analytics and Data Mining & Machine Learning.
Tools & Resources
Python (with libraries like Pandas, Scikit-learn), R programming language, Open-source datasets (e.g., Kaggle), University''''s statistical software labs
Career Connection
Direct practical experience with analytical tools is a primary requirement for most analytics jobs in India, enhancing employability and interview performance.
Build a Portfolio of Analytics Projects- (Semester 3)
Convert class assignments and summer training reports into comprehensive portfolio pieces. Focus on showcasing end-to-end analytical problem-solving, from data acquisition and cleaning to model building and actionable insights. This portfolio should highlight skills acquired in your Business Analytics specialization.
Tools & Resources
GitHub for project version control, Personal website/blog, LinkedIn for showcasing projects, University faculty for mentorship on project selection
Career Connection
A strong project portfolio is crucial for demonstrating practical skills to potential employers in India''''s competitive analytics job market.
Network with Analytics Professionals- (Semester 3)
Actively participate in industry seminars, webinars, and workshops focused on business analytics. Connect with alumni working in analytics roles and professionals from relevant industries. This helps in understanding current industry trends, gaining mentorship, and discovering internship/job opportunities.
Tools & Resources
LinkedIn professional network, Industry conferences (e.g., NASSCOM, FICCI), University career fairs, Alumni meet-ups
Career Connection
Networking opens doors to hidden job markets, provides career guidance, and helps build professional relationships vital for long-term career growth in the analytics domain.
Advanced Stage
Specialize in Advanced Analytics & Visualization- (Semester 4)
Focus intensely on advanced business analytics, forecasting, big data management, and data visualization. Master tools like Tableau or Power BI and delve into advanced statistical or machine learning models. Apply these to complex business problems, perhaps in your Major Research Project.
Tools & Resources
Certification courses (e.g., Tableau Certified Associate, Microsoft Certified: Power BI Data Analyst), Advanced Python/R programming, Deep-dive into Big Data concepts (e.g., Hadoop, Spark)
Career Connection
Demonstrating expertise in advanced tools and techniques makes graduates highly competitive for specialized analytics roles and data visualization positions.
Undertake a High-Impact Major Research Project- (Semester 4)
Utilize the Major Research Project to solve a real-world business problem using advanced analytical techniques. Aim for a project that has a measurable impact or offers significant insights, collaborating with an industry mentor if possible. This should be the capstone of your learning.
Tools & Resources
University research facilities, Industry contacts for data/guidance, Academic journals and case studies, Thesis writing guides
Career Connection
A well-executed and impactful research project provides a strong talking point in interviews, showcasing problem-solving abilities and deep analytical skills.
Strategic Placement Preparation & Mock Interviews- (Semester 4)
Begin rigorous preparation for placements well in advance, focusing on quantitative aptitude, logical reasoning, case studies, and behavioral questions specific to analytics roles. Participate in mock interviews and group discussions to refine communication and critical thinking under pressure.
Tools & Resources
University placement cell services, Online aptitude test platforms (e.g., Indiabix, PrepInsta), Mock interview panels, Alumni mentors for guidance
Career Connection
Thorough preparation directly impacts placement success, enabling students to secure desirable roles in leading Indian companies and MNCs.
Program Structure and Curriculum
Eligibility:
- Bachelor''''s Degree in any discipline with minimum 45% marks for Gen/OBC & 40% for SC/ST category. Valid Score in CUET/JEE/UPSEE/CLAT/CAT/MAT/XAT/ATMA/CMAT/IUCET. A candidate appearing in the final year of Bachelor''''s degree can also apply.
Duration: 4 semesters / 2 years
Credits: 112 Credits
Assessment: Internal: 30%, External: 70%
Semester-wise Curriculum Table
Semester 1
| Subject Code | Subject Name | Subject Type | Credits | Key Topics |
|---|---|---|---|---|
| MBA101 | Management Concepts & Organizational Behavior | Core | 4 | Management principles, Planning and organizing, Leading and controlling, Individual behavior, Personality and motivation, Group dynamics and conflict management |
| MBA102 | Business Economics | Core | 4 | Demand and supply analysis, Production and cost analysis, Market structures and pricing strategies, National income accounting, Monetary and fiscal policies, International trade theories |
| MBA103 | Accounting for Management | Core | 4 | Financial accounting fundamentals, Cost accounting principles, Management accounting applications, Financial statements analysis, Budgeting and variance analysis, Decision making using accounting data |
| MBA104 | Business Environment & Legal Aspects | Core | 4 | Indian economic environment, Socio-cultural and political-legal environment, Technological environment and globalization, Corporate social responsibility, Indian Contract Act, Companies Act fundamentals |
| MBA105 | Business Communication | Core | 4 | Communication process and barriers, Verbal and non-verbal communication, Written and oral communication skills, Presentation techniques, Business etiquette, Cross-cultural communication |
| MBA106 | Computer Applications for Business | Core | 4 | Office automation tools, Data management using spreadsheets, Presentation software usage, Internet and e-commerce basics, Database management introduction, Overview of business analytics tools |
| MBA107 | Foreign Language / Soft Skills | Core | 4 | Basic grammar and conversational skills (Foreign Language), Interpersonal skills development, Time management and problem solving, Emotional intelligence, Personality development, Teamwork and leadership |
Semester 2
| Subject Code | Subject Name | Subject Type | Credits | Key Topics |
|---|---|---|---|---|
| MBA201 | Marketing Management | Core | 4 | Marketing concepts and philosophies, Market segmentation, targeting, positioning, Product development and life cycle, Pricing strategies, Promotion and distribution channels, Services marketing |
| MBA202 | Human Resource Management | Core | 4 | HR functions and planning, Recruitment and selection, Training and development, Performance management, Compensation and benefits, Industrial relations |
| MBA203 | Financial Management | Core | 4 | Financial goals and value maximization, Capital budgeting decisions, Working capital management, Capital structure theories, Dividend policy, Sources of finance |
| MBA204 | Quantitative Techniques for Management | Core | 4 | Operations research introduction, Linear programming, Transportation and assignment problems, Queuing theory, Decision theory and simulation, Project management techniques (PERT/CPM) |
| MBA205 | Production & Operations Management | Core | 4 | Operations strategy, Product and process design, Capacity planning and facility layout, Material management, Quality management and control, Supply chain management basics |
| MBA206 | Research Methodology | Core | 4 | Research process and types, Research design formulation, Data collection methods and tools, Sampling techniques, Data analysis and interpretation, Report writing and ethical considerations |
| MBA207 | Entrepreneurship Development | Core | 4 | Entrepreneurial mindset and process, Business idea generation, Business plan development, Sources of funding for startups, Legal aspects of starting a venture, Growth strategies and challenges |
Semester 3
| Subject Code | Subject Name | Subject Type | Credits | Key Topics |
|---|---|---|---|---|
| MBA301 | Strategic Management | Core | 4 | Strategic analysis frameworks, Strategy formulation, Strategy implementation and control, Corporate governance, Environmental scanning, Competitive advantage |
| MBA302 | International Business Management | Core | 4 | Globalization and international trade, Foreign exchange markets, International finance, International marketing strategies, Global HRM, Multinational corporations |
| MBA303 | Management Information System | Core | 4 | Role of IS in business, Data management and database systems, Enterprise resource planning (ERP), E-business and mobile commerce, Decision support systems, Information security management |
| MBA304 | Summer Training Report | Core (Practical) | 8 | Industry exposure and observation, Application of management concepts, Problem identification and analysis, Data collection and synthesis, Report writing and documentation, Presentation skills |
| MBA310 | Foundations of Business Analytics | Elective (Specialization) | 4 | Introduction to business analytics, Data types and sources, Descriptive analytics techniques, Predictive and prescriptive analytics, Business intelligence concepts, Data-driven decision making |
| MBA311 | Data Mining & Machine Learning | Elective (Specialization) | 4 | Data mining concepts and techniques, Classification and clustering algorithms, Association rule mining, Regression analysis, Introduction to machine learning, Model evaluation metrics |
Semester 4
| Subject Code | Subject Name | Subject Type | Credits | Key Topics |
|---|---|---|---|---|
| MBA401 | Total Quality Management | Core | 4 | Quality concepts and dimensions, TQM principles and philosophy, Continuous improvement (Kaizen), Statistical process control, Six Sigma methodology, ISO standards and quality awards |
| MBA402 | Project Management | Core | 4 | Project life cycle, Project planning and scheduling, Resource allocation and budgeting, Risk management in projects, Project execution and monitoring, Project closure and evaluation |
| MBA403 | Consumer Behavior | Core | 4 | Consumer decision-making process, Cultural and sub-cultural influences, Social class and group influences, Psychological factors (motivation, perception), Learning and attitude formation, Consumer research and marketing implications |
| MBA404 | Corporate Governance, Ethics & Social Responsibility | Core | 4 | Corporate governance principles, Ethical theories and decision-making, Business ethics and values, Corporate social responsibility, Stakeholder management, Sustainability and business practices |
| MBA410 | Advanced Business Analytics & Forecasting | Elective (Specialization) | 4 | Time series analysis, Forecasting models and techniques, Optimization methods, Simulation modeling, Advanced statistical methods, Big data analytics applications |
| MBA411 | Big Data Management & Visualization | Elective (Specialization) | 4 | Big data concepts and ecosystem, Hadoop and Spark frameworks, NoSQL databases, Data warehousing and ETL, Data visualization tools (Tableau, Power BI), Dashboard design and storytelling with data |
| MBA412 | Major Research Project | Project | 4 | In-depth problem formulation, Extensive literature review, Methodology design and data collection, Advanced data analysis, Interpretation of results and findings, Dissertation writing and viva voce |
