.png&w=1920&q=75)
MBA in Business Analytics at Adarsh Institute of Management and Information Technology
Bengaluru, Karnataka
.png&w=1920&q=75)
About the Specialization
What is Business Analytics at Adarsh Institute of Management and Information Technology Bengaluru?
This MBA Business Analytics program at ADARSH INSTITUTE OF MANAGEMENT AND INFORMATION TECHNOLOGY, following the Bengaluru City University (BCU) curriculum, is designed to cultivate future-ready data-driven professionals. It focuses on equipping students with advanced analytical techniques, statistical modeling, and data visualization skills crucial for the rapidly evolving Indian business landscape. The program emphasizes practical application and problem-solving, aligning with industry demand for skilled analytics professionals across sectors like e-commerce, finance, and healthcare in India.
Who Should Apply?
This program is ideal for ambitious fresh graduates from diverse academic backgrounds (engineering, commerce, science) eager to build a career in data science and analytics. It also caters to working professionals seeking to upskill in analytics for career advancement or transition into data-centric roles. Individuals with a strong aptitude for logical reasoning, mathematics, and a keen interest in leveraging data for strategic decision-making will find this specialization highly rewarding.
Why Choose This Course?
Graduates of this program can expect diverse career paths in India, including roles like Business Analyst, Data Scientist, Marketing Analyst, Financial Analyst, and Supply Chain Analyst. Entry-level salaries typically range from INR 4-7 LPA, with experienced professionals earning significantly more. The strong foundation in core business and specialized analytics prepares students for growth trajectories in Indian MNCs, startups, and consulting firms, often leading to leadership roles in data-driven organizations.
Student Success Practices
Foundation Stage
Build a Strong Quantitative Foundation- (Semester 1-2)
Actively engage with subjects like Business Statistics and Managerial Economics. Utilize platforms like Khan Academy or NPTEL for extra practice in probability, statistics, and basic econometrics. This ensures a robust analytical mindset crucial for future analytics courses and data interpretation.
Tools & Resources
Khan Academy, NPTEL, Statistical software demos
Career Connection
Develops foundational problem-solving and critical thinking skills essential for any data-driven role in analytics.
Master Core Business Concepts- (Semester 1-2)
Understand how all foundational MBA subjects (Marketing, Finance, HR, Operations) interconnect. Attend guest lectures and industry workshops, linking theoretical knowledge to real-world business scenarios in India, crucial for understanding analytical problem contexts and providing business value.
Tools & Resources
Industry webinars, Business case studies, College seminars
Career Connection
Enables analysts to contextualize data problems, communicate effectively with business stakeholders, and drive strategic outcomes.
Initiate Programming Fundamentals- (Semester 1-2)
Even before formal specialization electives, start exploring basic Python or R programming using free online courses. Focus on data structures, basic syntax, and simple data manipulation. This early exposure to coding will significantly ease the transition into dedicated analytics tools.
Tools & Resources
Coursera (free courses), DataCamp (free tracks), W3Schools, Jupyter Notebook
Career Connection
Provides a head start in mastering programming languages, which are indispensable tools for any modern data analyst or scientist.
Intermediate Stage
Deep Dive into Data Tools- (Semester 3-5)
Actively participate in labs for Data Visualization (e.g., Tableau, Power BI) and programming languages (R, Python for Business Analytics). Complete multiple mini-projects using real datasets from platforms like Kaggle or government open data portals to build a strong portfolio of practical skills.
Tools & Resources
Tableau Public, Microsoft Power BI Desktop, Kaggle, GitHub, JupyterLab
Career Connection
Builds proficiency in industry-standard tools and techniques, directly enhancing employability for various analytics positions.
Network and Engage with the Analytics Community- (Semester 3-5)
Join analytics-focused student clubs, attend industry webinars, and connect with professionals on LinkedIn. Participate in inter-college data analytics competitions or hackathons to apply skills, gain practical exposure, and build valuable professional connections relevant to Indian business challenges.
Tools & Resources
LinkedIn, Meetup groups, Analytics India Magazine events, College clubs
Career Connection
Expands professional network, provides exposure to industry trends, and often leads to internship and job opportunities through referrals.
Seek Relevant Internships- (Semester 3-5)
Actively pursue internships in analytics roles during semester breaks or as part of the curriculum (as mandatory for the program). Focus on companies that offer hands-on experience with business problems, data cleaning, modeling, and reporting, which are crucial for placement readiness in India.
Tools & Resources
College placement cell, Internshala, Naukri.com, LinkedIn Jobs
Career Connection
Provides real-world experience, validates theoretical knowledge, builds a professional resume, and can often lead to pre-placement offers.
Advanced Stage
Focus on Advanced Analytical Modeling- (Semester 6-8)
Dedicate significant effort to subjects like Machine Learning for Business and Big Data Analytics. Work on a comprehensive dissertation or project that solves a complex business problem using advanced analytical techniques and present your findings effectively. This showcases advanced problem-solving abilities.
Tools & Resources
Scikit-learn, TensorFlow/Keras, Apache Spark, Cloud platforms (AWS/Azure/GCP)
Career Connection
Positions graduates for roles requiring advanced analytical skills, such as Data Scientist or AI/ML Engineer, with higher earning potential.
Prepare for Placement Success- (Semester 6-8)
Sharpen interview skills, especially in case studies and technical rounds focusing on SQL, Python/R, statistical concepts, and business acumen. Utilize campus placement cells for mock interviews and resume building tailored to analytics roles in the Indian job market, focusing on showcasing project work.
Tools & Resources
InterviewBit, HackerRank, LeetCode, Mock interview platforms, Aptitude test prep
Career Connection
Maximizes chances of securing desirable placements in top-tier companies by effectively demonstrating both technical prowess and soft skills.
Develop Domain Specialization- (Semester 6-8)
Choose electives (e.g., Marketing Analytics, Financial Analytics, Supply Chain Analytics) that align with your career interests. Gain in-depth knowledge in a specific industry sector to become a specialized analytics professional, increasing your value to potential employers in that domain and creating a niche expertise.
Tools & Resources
Industry reports, Specialized certifications, Professional body memberships
Career Connection
Fosters expertise in a particular industry, making graduates highly sought after for specialized analytics roles within that sector, leading to focused career growth.
Program Structure and Curriculum
Eligibility:
- Bachelor’s Degree of minimum three years duration recognized by the university with not less than 50% (45% for SC/ST/CAT-1) of marks in aggregate. (Candidates appearing for the final year examination may also apply.)
Duration: 2 years / 4 semesters
Credits: 108 Credits
Assessment: Internal: 40%, External: 60%
Semester-wise Curriculum Table
Semester 1
| Subject Code | Subject Name | Subject Type | Credits | Key Topics |
|---|---|---|---|---|
| MBA 101 | Management and Organizational Behavior | Core | 4 | Evolution of Management Thought, Functions of Management, Organizational Behavior Foundations, Perception, Motivation, Leadership, Group Dynamics, Organizational Culture |
| MBA 102 | Business Communication | Core | 4 | Communication Process and Types, Oral and Written Communication, Business Correspondence and Reports, Presentation Skills, Cross-cultural and Digital Communication |
| MBA 103 | Managerial Economics | Core | 4 | Demand Analysis and Forecasting, Production and Cost Analysis, Market Structures and Pricing Strategies, Macro-Economic Analysis, Business Cycles and Economic Policies |
| MBA 104 | Accounting for Managers | Core | 4 | Financial Accounting Concepts, Accounting Cycle and Financial Statements, Cost Accounting, Budgeting and Budgetary Control, Working Capital Management |
| MBA 105 | Marketing Management | Core | 4 | Marketing Environment and Research, Consumer Behavior and Market Segmentation, Product Life Cycle and Branding, Pricing Decisions and Strategies, Distribution Channels and Promotion Mix |
| 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, Correlation and Regression |
Semester 2
| Subject Code | Subject Name | Subject Type | Credits | Key Topics |
|---|---|---|---|---|
| MBA 201 | Human Resources Management | Core | 4 | HR Functions and Policies, Recruitment and Selection, Training and Development, Performance Appraisal and Compensation, Industrial Relations and Employee Welfare |
| MBA 202 | Financial Management | Core | 4 | Financial Goals and Environment, Sources of Finance and Cost of Capital, Capital Budgeting Decisions, Dividend Policy, Working Capital Management |
| MBA 203 | Operations Management | Core | 4 | Operations Strategy and Process Design, Facility Location and Layout, Inventory Management, Quality Management and Control, Supply Chain Management |
| MBA 204 | Research Methodology | Core | 4 | Research Design and Process, Data Collection Methods, Sampling Techniques, Data Analysis and Interpretation, Report Writing and Ethics in Research |
| MBA 205 | Business Environment | Core | 4 | Economic Environment and Policies, Political and Legal Environment, Socio-Cultural Environment, Technological Environment, Global Business Environment, CSR |
| MBA 206 | Entrepreneurship and Start-ups | Core | 4 | Entrepreneurial Process and Characteristics, Business Idea Generation and Opportunity Evaluation, Business Plan Development, Funding Start-ups, Legal Aspects and Challenges for Entrepreneurs |
Semester 3
| Subject Code | Subject Name | Subject Type | Credits | Key Topics |
|---|---|---|---|---|
| MBA 301 | Legal and Business Ethics | Core | 4 | Business Law and Contract Act, Company Law and Consumer Protection Act, Intellectual Property Rights, Ethical Theories and Dilemmas, Corporate Governance and CSR |
| MBA 302 | Business Analytics | Core | 4 | Introduction to Business Analytics, Data Mining and Data Warehousing, Descriptive and Predictive Analytics, Prescriptive Analytics, Big Data Concepts and Applications |
| MBA BA 303 | Data Visualization for Business | Elective | 4 | Principles of Data Visualization, Types of Charts and Graphs, Dashboard Design and Storytelling, Tools: Tableau/Power BI Introduction, Interactive Visualizations |
| MBA BA 304 | R for Business Analytics | Elective | 4 | R Programming Basics, Data Structures in R, Data Manipulation with Dplyr, Statistical Analysis with R, Data Visualization with Ggplot2 |
| MBA BA 305 | Python for Business Analytics | Elective | 4 | Python Basics and Data Types, Pandas for Data Manipulation, NumPy for Numerical Operations, Data Cleaning and Preprocessing, Introduction to Scikit-learn |
| MBA BA 306 | Marketing Analytics | Elective | 4 | Marketing Metrics and KPIs, Customer Segmentation and Targeting, Digital and Web Analytics, Social Media Analytics, Campaign Performance and Optimization |
| MBA BA 307 | Financial Analytics | Elective | 4 | Financial Modeling and Valuation, Portfolio Analytics and Risk Management, Credit Scoring and Fraud Detection, Algorithmic Trading Concepts, Time Series Analysis in Finance |
| MBA BA 308 | Human Resource Analytics | Elective | 4 | HR Metrics and Dashboards, Workforce Planning and Forecasting, Talent Acquisition and Retention Analytics, Attrition Prediction, Performance and Engagement Analytics |
| MBA 309 | Internship / Study Tour | Project/Internship | 4 | Industry Exposure, Practical Application of Concepts, Report Writing, Presentation Skills, Networking |
Semester 4
| Subject Code | Subject Name | Subject Type | Credits | Key Topics |
|---|---|---|---|---|
| MBA 401 | Strategic Management | Core | 4 | Strategic Planning Process, Environmental Analysis (SWOT, PESTEL), Strategy Formulation and Implementation, Strategic Control and Evaluation, Global and Corporate Strategy |
| MBA 402 | International Business | Core | 4 | Theories of International Trade, Global Economic Environment, WTO and Regional Blocs, International Marketing and Finance, Cross-cultural Management |
| MBA BA 403 | Machine Learning for Business | Elective | 4 | Supervised Learning (Regression, Classification), Unsupervised Learning (Clustering), Model Evaluation and Selection, Introduction to Deep Learning, Machine Learning Applications in Business |
| MBA BA 404 | Big Data Analytics | Elective | 4 | Big Data Technologies (Hadoop, Spark), NoSQL Databases, Data Lake Concepts, Stream Processing, Cloud for Big Data Analytics |
| MBA BA 405 | Supply Chain Analytics | Elective | 4 | Demand Forecasting and Planning, Inventory Optimization, Logistics and Network Design Analytics, Supplier Performance Management, Risk Analytics in Supply Chain |
| MBA BA 406 | Healthcare Analytics | Elective | 4 | Healthcare Data Sources (EHR, Claims), Clinical Analytics, Public Health Analytics, Predictive Models in Healthcare, Healthcare Policy and Regulatory Analytics |
| MBA BA 407 | Operations Analytics | Elective | 4 | Process Optimization, Quality Control and SPC, Simulation Modeling, Scheduling and Resource Allocation, Prescriptive Analytics in Operations |
| MBA BA 408 | Business Intelligence and Data Warehousing | Elective | 4 | Data Warehousing Concepts, ETL Process, OLAP and Data Cubes, BI Tools and Architectures, Data Governance and Master Data Management |
| MBA 409 | Dissertation / Project Work | Project | 6 | Problem Identification and Formulation, Literature Review, Research Design and Methodology, Data Analysis and Interpretation, Report Writing and Presentation |
| MBA 410 | Viva-Voce (for Dissertation) | Viva | 2 | Oral Presentation of Dissertation, Defense of Research Findings, Clarity and Coherence of Research, Understanding of Methodology, Relevance and Contribution |
