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B-COM-HONS in Business Analytics at GITAM (Gandhi Institute of Technology and Management)
Visakhapatnam, Andhra Pradesh
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About the Specialization
What is Business Analytics at GITAM (Gandhi Institute of Technology and Management) Visakhapatnam?
This Business Analytics specialization program at GITAM, Visakhapatnam focuses on equipping students with crucial data analysis, statistical modeling, and machine learning skills. In the rapidly evolving Indian business landscape, data-driven decision-making is paramount. This program differentiates itself by blending core commerce knowledge with advanced analytical techniques, preparing graduates for the high demand in various Indian industries for analytical talent.
Who Should Apply?
This program is ideal for fresh graduates holding a 10+2 qualification with a strong aptitude for mathematics, statistics, or computer science, aspiring to build a career in data-intensive roles. It also suits working professionals seeking to upskill in analytics to enhance their career trajectory or career changers looking to transition into the booming data science and analytics industry in India. A foundational understanding of business concepts is beneficial.
Why Choose This Course?
Graduates of this program can expect to pursue rewarding India-specific career paths such as Business Analyst, Data Analyst, Financial Analyst, Marketing Analyst, and Consultant. Entry-level salaries typically range from INR 4-7 LPA, with experienced professionals potentially earning INR 10-20+ LPA, depending on skills and industry. Growth trajectories involve leading analytical teams and strategic decision-making roles in Indian companies and MNCs, often aligning with certifications like those in data science or specific analytics tools.
Student Success Practices
Foundation Stage
Strengthen Core Quantitative Skills- (Semester 1-2)
Dedicate time to master the fundamentals of Calculus, Matrix Algebra, and Business Statistics. Utilize online resources like Khan Academy, NPTEL courses, and practice problems regularly. This foundational strength is critical for understanding advanced analytical concepts in later semesters.
Tools & Resources
Khan Academy, NPTEL, NCERT Mathematics/Statistics textbooks
Career Connection
A strong grasp of quantitative methods forms the bedrock for advanced predictive modeling and statistical analysis, making you a more effective data analyst.
Build Foundational Computing Proficiency- (Semester 1-2)
Beyond basic computer applications, focus on understanding database concepts and SQL. Practice regularly with sample datasets and small projects. Leverage platforms that offer SQL tutorials and basic database management exercises.
Tools & Resources
W3Schools SQL Tutorial, HackerRank (SQL challenges), SQLite Studio
Career Connection
Proficiency in SQL and database management is a non-negotiable skill for any Business Analyst, crucial for data extraction and manipulation in real-world scenarios.
Develop Effective Communication Habits- (Semester 1-2)
Actively participate in professional communication exercises, group discussions, and presentations. Focus on articulating complex ideas clearly and concisely, both verbally and in writing. Seek feedback from peers and faculty to refine these skills.
Tools & Resources
Toastmasters International (local chapters), Grammarly, Presentation software (PowerPoint, Google Slides)
Career Connection
Strong communication skills are vital for presenting analytical insights to non-technical stakeholders and collaborating effectively in corporate teams, significantly boosting employability.
Intermediate Stage
Master Business Analytics Tools and Concepts- (Semester 3-5)
Deep dive into the core Business Analytics subjects like Fundamentals of Business Analytics, Data Management, Statistical Methods, and Data Visualization. Get hands-on with tools like Excel for data analytics and explore introductory concepts of Python/R for statistics, even before they are formally taught.
Tools & Resources
Microsoft Excel, Tableau Public (free version), Coursera/edX courses on Excel/Python for Data Analysis
Career Connection
Early mastery of analytical tools and methods directly translates into practical skills sought by employers for data-driven roles, enhancing internship and job prospects.
Engage in Mini-Projects and Case Studies- (Semester 3-5)
Apply theoretical knowledge by working on small-scale data analysis projects using publicly available datasets. Participate in case study competitions related to business analytics. This practical exposure builds a portfolio and sharpens problem-solving abilities.
Tools & Resources
Kaggle (datasets and competitions), UCI Machine Learning Repository, Harvard Business Review cases
Career Connection
Building a portfolio of mini-projects demonstrates practical application skills, making your resume stand out during internships and job interviews.
Network and Seek Industry Exposure- (Semester 3-5)
Attend industry workshops, webinars, and guest lectures to understand current trends in business analytics in India. Connect with professionals on LinkedIn. Explore summer internship opportunities to gain real-world experience and understand corporate environments.
Tools & Resources
LinkedIn, Industry conferences (e.g., Data Science Congress), College career fairs
Career Connection
Networking opens doors to mentorship, internships, and potential job opportunities, providing invaluable insights into industry expectations and career paths.
Advanced Stage
Specialize in Predictive and Machine Learning Models- (Semester 5-6)
Focus intensely on Predictive Modeling and Machine Learning for Business Analytics. Gain hands-on experience implementing algorithms using Python/R. Explore advanced topics like deep learning and NLP through online courses or self-study.
Tools & Resources
Python (NumPy, Pandas, Scikit-learn), R (dplyr, ggplot2, caret), TensorFlow/PyTorch
Career Connection
Advanced skills in machine learning are highly valued for roles involving complex data predictions, AI strategy, and intelligent system development, leading to higher-paying jobs.
Undertake a Comprehensive Capstone Project/Internship- (Semester 5-6)
Choose a challenging project or internship that allows you to apply the full spectrum of your analytical skills, from data collection and cleaning to model deployment and visualization. Document your process thoroughly and prepare a professional presentation.
Tools & Resources
Jupyter Notebooks, GitHub for version control, Industry-standard BI tools (Tableau, Power BI)
Career Connection
A strong capstone project or internship provides tangible proof of your abilities, significantly boosting your placement chances and preparing you for immediate industry contribution.
Prepare Rigorously for Placements and Professional Certifications- (Semester 6)
Start preparing for technical and HR interviews well in advance. Practice coding challenges, data structures, and algorithms relevant to analytics roles. Consider pursuing professional certifications in specific tools (e.g., Tableau Certified Associate, Google Data Analytics Professional Certificate) to enhance your profile.
Tools & Resources
LeetCode, GeeksforGeeks, Specific vendor certification platforms
Career Connection
Proactive placement preparation and relevant certifications are crucial for securing desirable job offers in leading Indian and global firms, setting a strong foundation for your career.
Program Structure and Curriculum
Eligibility:
- Pass in 10+2 with minimum 50% aggregate marks or equivalent grade from a recognized Central / State Board or equivalent with Mathematics / Statistics / Accountancy / Computer Science as one of the subjects.
Duration: 3 years (6 semesters)
Credits: 121 Credits
Assessment: Internal: 50%, External: 50%
Semester-wise Curriculum Table
Semester 1
| Subject Code | Subject Name | Subject Type | Credits | Key Topics |
|---|---|---|---|---|
| GCN 101 | Environmental Science | Ability Enhancement Compulsory Course (AECC) | 2 | Environment and ecosystem, Natural resources and management, Biodiversity and conservation, Environmental pollution and control, Social issues and environmental protection |
| GEL 131 | English Communication Skills | Ability Enhancement Compulsory Course (AECC) | 3 | Reading comprehension, Academic writing, Listening and speaking skills, Presentation techniques, Effective communication strategies |
| GEM 141 | Calculus and Matrix Algebra | Discipline Specific Core (DSC) | 4 | Differential calculus, Integral calculus, Matrices and determinants, Inverse of a matrix, Applications in business and economics |
| GMA 101 | Financial Accounting | Discipline Specific Core (DSC) | 4 | Accounting principles and concepts, Journal and ledger, Trial balance and financial statements, Rectification of errors, Depreciation accounting |
| GCA 101 | Computer Applications for Business | Discipline Specific Core (DSC) | 4 | Fundamentals of computers, Microsoft Office suite (Word, Excel, PowerPoint), Data organization and analysis in spreadsheets, Internet and e-commerce basics, Data security and privacy |
| GEL 141 | Soft Skills | Skill Enhancement Course (SEC) | 2 | Self-awareness and introspection, Goal setting and time management, Verbal and non-verbal communication, Interpersonal skills, Stress management and emotional intelligence |
Semester 2
| Subject Code | Subject Name | Subject Type | Credits | Key Topics |
|---|---|---|---|---|
| GCM 102 | Indian Constitution | Ability Enhancement Compulsory Course (AECC) | 2 | Preamble and features of Indian Constitution, Fundamental Rights and Duties, Directive Principles of State Policy, Union and State Legislature and Judiciary, Constitutional amendments and emergency provisions |
| GEL 132 | Professional Communication Skills | Ability Enhancement Compulsory Course (AECC) | 3 | Formal written communication (reports, emails), Public speaking and presentation skills, Group discussions and debates, Interview techniques, Business correspondence |
| GEM 142 | Business Statistics | Discipline Specific Core (DSC) | 4 | Measures of central tendency and dispersion, Correlation and regression analysis, Probability theory and distributions, Sampling and estimation, Hypothesis testing |
| GMA 102 | Corporate Accounting | Discipline Specific Core (DSC) | 4 | Issue and forfeiture of shares, Issue and redemption of debentures, Company final accounts, Amalgamation and absorption, Accounting for liquidation of companies |
| GCA 102 | Introduction to Databases for Business | Discipline Specific Core (DSC) | 4 | Database management system concepts, Relational data model, SQL queries and operations, Database design and normalization, Data integrity and security |
| GEL 142 | Critical Thinking and Problem Solving | Skill Enhancement Course (SEC) | 2 | Fundamentals of logical reasoning, Analytical thinking and evaluation, Problem-solving methodologies, Decision-making frameworks, Creative problem identification |
Semester 3
| Subject Code | Subject Name | Subject Type | Credits | Key Topics |
|---|---|---|---|---|
| GCM 201 | Artificial Intelligence and Human Values | Ability Enhancement Compulsory Course (AECC) | 2 | Introduction to Artificial Intelligence, Ethical considerations in AI, Societal impact of AI, Human-AI collaboration, Responsible AI development |
| GMA 201 | Cost Accounting | Discipline Specific Core (DSC) | 4 | Cost concepts and classifications, Elements of cost (material, labor, overhead), Costing methods (job, process, activity-based), Marginal costing and CVP analysis, Standard costing and variance analysis |
| GMA 202 | Income Tax Law and Practice | Discipline Specific Core (DSC) | 4 | Basic concepts of income tax, Heads of income (salary, house property, business, capital gains, other sources), Deductions from gross total income, Computation of total income and tax liability, Assessment procedures |
| GCA 201 | Fundamentals of Business Analytics | Discipline Specific Elective (DSE) | 4 | Introduction to Business Analytics, Data types and sources, Data warehousing and data mining concepts, Business intelligence fundamentals, Analytical models and techniques |
| GCA 202 | Data Management for Business Analytics | Discipline Specific Elective (DSE) | 4 | Relational database management systems, Advanced SQL for data extraction and manipulation, NoSQL databases for analytics, Data cleaning and preprocessing, Data integration and quality |
| GEL 241 | Leadership Skills | Skill Enhancement Course (SEC) | 2 | Leadership theories and styles, Qualities of an effective leader, Team building and dynamics, Motivation and conflict resolution, Ethical leadership and decision making |
Semester 4
| Subject Code | Subject Name | Subject Type | Credits | Key Topics |
|---|---|---|---|---|
| GMA 203 | Goods and Services Tax (GST) | Discipline Specific Core (DSC) | 4 | Introduction to GST framework, GST registration and levy, Input Tax Credit mechanism, GST returns and payments, Assessment and appeals under GST |
| GMA 204 | Auditing and Corporate Governance | Discipline Specific Core (DSC) | 4 | Principles and types of auditing, Audit procedures and techniques, Audit report and professional ethics, Corporate governance concepts, Role of audit committee and board of directors |
| GCA 203 | Statistical Methods for Business Analytics | Discipline Specific Elective (DSE) | 4 | Hypothesis testing (t-test, ANOVA, chi-square), Correlation and advanced regression analysis, Time series analysis and forecasting, Sampling distributions and inferential statistics, Introduction to statistical software (R/Python) |
| GCA 204 | Data Visualization and Reporting | Discipline Specific Elective (DSE) | 4 | Principles of effective data visualization, Dashboard design and storytelling with data, Tools for data visualization (Tableau, Power BI), Creating interactive reports, Infographics and visual analytics |
| GEL 242 | Entrepreneurship Development | Skill Enhancement Course (SEC) | 2 | Entrepreneurial mindset and innovation, Business idea generation and validation, Market research and analysis, Business plan development, Funding sources and legal aspects for startups |
| GCA 291 | Data Analytics with Spreadsheets | Skill Enhancement Course (SEC) | 2 | Advanced Excel functions for data analysis, Pivot tables and pivot charts, Data cleaning and validation in Excel, Statistical analysis tools in Excel, Scenario analysis and goal seek |
Semester 5
Semester 6
| Subject Code | Subject Name | Subject Type | Credits | Key Topics |
|---|---|---|---|---|
| GMA 303 | Organizational Behavior | Discipline Specific Core (DSC) | 4 | Individual behavior (perception, personality, motivation), Group dynamics and team effectiveness, Leadership and power in organizations, Organizational culture and structure, Managing change and conflict |
| GMA 304 | Management Accounting | Discipline Specific Core (DSC) | 4 | Budgetary control and forecasting, Responsibility accounting and transfer pricing, Performance measurement and control, Decision-making under uncertainty, Strategic management accounting |
| GCA 303 | Machine Learning for Business Analytics | Discipline Specific Elective (DSE) | 4 | Supervised learning algorithms (classification, regression), Unsupervised learning algorithms (dimensionality reduction), Introduction to deep learning and neural networks, Natural Language Processing (NLP) for text analytics, Building recommendation systems |
| GCA 304 | Advanced Business Analytics Applications | Discipline Specific Elective (DSE) | 4 | Web analytics and social media analytics, Prescriptive analytics and optimization techniques, Retail analytics and customer relationship management, Healthcare and financial analytics applications, Real-world case studies and project implementation |
| GCA 392 | Project / Internship | Project | 6 | Project proposal and planning, Data collection and primary/secondary research, Application of analytical tools and techniques, Report writing and documentation, Presentation of findings and recommendations |
